Skip to content
GitLab
Commit 1c871e69 authored by Zhang Xin's avatar Zhang Xin
Browse files

Merge branch 'FGS_sim' into 'develop' 

Release v2.0

See merge request csst_sim/csst-simulation!12
parents ca7fb5db fd6c3108
Hide whitespace changes
Inline Side-by-side
ObservationSim/Instrument/data/ccd/chip_definition.json 0 → 100644
View file @ 1c871e69
{
"31": {
"chip_name": "FGS1A-D1",
"pix_size": 0.0075,
"pix_scale": 0.0555,
"npix_x": 11264,
"npix_y": 7680,
"x_cen": -325.395,
"y_cen": -47.82,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300.0,
"falt_exptime": 150.0,
"readout_time": 0.01,
"df_strength": 2.3,
"bias_level": 2000.0,
"gain": 1.0,
"full_well": 90000
},
"32": {
"chip_name": "FGS1A-D2",
"pix_size": 0.0075,
"pix_scale": 0.0555,
"npix_x": 11264,
"npix_y": 7680,
"x_cen": -325.395,
"y_cen": 22.7,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300.0,
"falt_exptime": 150.0,
"readout_time": 0.01,
"df_strength": 2.3,
"bias_level": 2000.0,
"gain": 1.0,
"full_well": 90000
},
"33": {
"chip_name": "FGS1B-D1",
"pix_size": 0.0075,
"pix_scale": 0.0555,
"npix_x": 11264,
"npix_y": 7680,
"x_cen": -325.395,
"y_cen": 93.195,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300.0,
"falt_exptime": 150.0,
"readout_time": 0.01,
"df_strength": 2.3,
"bias_level": 2000.0,
"gain": 1.0,
"full_well": 90000
},
"34": {
"chip_name": "FGS1B-D2",
"pix_size": 0.0075,
"pix_scale": 0.0555,
"npix_x": 11264,
"npix_y": 7680,
"x_cen": -325.395,
"y_cen": 163.69,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300.0,
"falt_exptime": 150.0,
"readout_time": 0.01,
"df_strength": 2.3,
"bias_level": 2000.0,
"gain": 1.0,
"full_well": 90000
},
"35": {
"chip_name": "FGS2A-D1",
"pix_size": 0.0075,
"pix_scale": 0.0555,
"npix_x": 11264,
"npix_y": 7680,
"x_cen": 325.395,
"y_cen": 47.82,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300.0,
"falt_exptime": 150.0,
"readout_time": 0.01,
"df_strength": 2.3,
"bias_level": 2000.0,
"gain": 1.0,
"full_well": 90000
},
"36": {
"chip_name": "FGS2A-D2",
"pix_size": 0.0075,
"pix_scale": 0.0555,
"npix_x": 11264,
"npix_y": 7680,
"x_cen": 325.395,
"y_cen": -22.7,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300.0,
"falt_exptime": 150.0,
"readout_time": 0.01,
"df_strength": 2.3,
"bias_level": 2000.0,
"gain": 1.0,
"full_well": 90000
},
"37": {
"chip_name": "FGS2B-D1",
"pix_size": 0.0075,
"pix_scale": 0.0555,
"npix_x": 11264,
"npix_y": 7680,
"x_cen": 325.395,
"y_cen": -93.195,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300.0,
"falt_exptime": 150.0,
"readout_time": 0.01,
"df_strength": 2.3,
"bias_level": 2000.0,
"gain": 1.0,
"full_well": 90000
},
"38": {
"chip_name": "FGS2B-D2",
"pix_size": 0.0075,
"pix_scale": 0.0555,
"npix_x": 11264,
"npix_y": 7680,
"x_cen": 325.395,
"y_cen": -163.69,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300.0,
"falt_exptime": 150.0,
"readout_time": 0.01,
"df_strength": 2.3,
"bias_level": 2000.0,
"gain": 1.0,
"full_well": 90000
},
"39": {
"chip_name": "FGS3-D1",
"pix_size": 0.0075,
"pix_scale": 0.0555,
"npix_x": 11264,
"npix_y": 7680,
"x_cen": -273.35,
"y_cen": 211.36,
"rotate_angle": 90.0,
"n_psf_samples": 100,
"dark_exptime": 300.0,
"falt_exptime": 150.0,
"readout_time": 0.01,
"df_strength": 2.3,
"bias_level": 2000.0,
"gain": 1.0,
"full_well": 90000
},
"40": {
"chip_name": "FGS3-D2",
"pix_size": 0.0075,
"pix_scale": 0.0555,
"npix_x": 11264,
"npix_y": 7680,
"x_cen": -202.805,
"y_cen": 211.36,
"rotate_angle": 90.0,
"n_psf_samples": 100,
"dark_exptime": 300.0,
"falt_exptime": 150.0,
"readout_time": 0.01,
"df_strength": 2.3,
"bias_level": 2000.0,
"gain": 1.0,
"full_well": 90000
},
"41": {
"chip_name": "FGS4-D1",
"pix_size": 0.0075,
"pix_scale": 0.0555,
"npix_x": 11264,
"npix_y": 7680,
"x_cen": 151.03,
"y_cen": -233.885,
"rotate_angle": 90.0,
"n_psf_samples": 100,
"dark_exptime": 300.0,
"falt_exptime": 150.0,
"readout_time": 0.01,
"df_strength": 2.3,
"bias_level": 2000.0,
"gain": 1.0,
"full_well": 90000
},
"42": {
"chip_name": "FGS4-D2",
"pix_size": 0.0075,
"pix_scale": 0.0555,
"npix_x": 11264,
"npix_y": 7680,
"x_cen": 80.51,
"y_cen": -233.885,
"rotate_angle": 90.0,
"n_psf_samples": 100,
"dark_exptime": 300.0,
"falt_exptime": 150.0,
"readout_time": 0.01,
"df_strength": 2.3,
"bias_level": 2000.0,
"gain": 1.0,
"full_well": 90000
},
"1": {
"chip_name": "GI-1",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 251.5,
"y_cen": -202.6,
"rotate_angle": -1.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"2": {
"chip_name": "GV-1",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 251.5,
"y_cen": -101.3,
"rotate_angle": -1.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"3": {
"chip_name": "GU-1",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 251.5,
"y_cen": 0.0,
"rotate_angle": -1.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"4": {
"chip_name": "GU-2",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 251.5,
"y_cen": 101.3,
"rotate_angle": -1.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"5": {
"chip_name": "GV-2",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 251.5,
"y_cen": 202.6,
"rotate_angle": -1.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"6": {
"chip_name": "y-1",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 146.25,
"y_cen": -202.6,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"7": {
"chip_name": "i-1",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 146.25,
"y_cen": -101.3,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"8": {
"chip_name": "g-1",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 146.25,
"y_cen": 0.0,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"9": {
"chip_name": "r-1",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 146.25,
"y_cen": 101.3,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"10": {
"chip_name": "GI-2",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 154.0,
"y_cen": 202.6,
"rotate_angle": -1.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"11": {
"chip_name": "z-1",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 48.75,
"y_cen": -202.6,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"12": {
"chip_name": "NUV-1",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 48.75,
"y_cen": -101.3,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"13": {
"chip_name": "NUV-2",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 48.75,
"y_cen": 0.0,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"14": {
"chip_name": "u-1",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 48.75,
"y_cen": 101.3,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"15": {
"chip_name": "y-4",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": 48.75,
"y_cen": 202.6,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"16": {
"chip_name": "y-3",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -48.75,
"y_cen": -202.6,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"17": {
"chip_name": "u-2",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -48.75,
"y_cen": -101.3,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"18": {
"chip_name": "NUV-3",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -48.75,
"y_cen": 0.0,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"19": {
"chip_name": "NUV-4",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -48.75,
"y_cen": 101.3,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"20": {
"chip_name": "z-2",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -48.75,
"y_cen": 202.6,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"21": {
"chip_name": "GI-3",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -154.0,
"y_cen": -202.6,
"rotate_angle": 1.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"22": {
"chip_name": "r-2",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -146.25,
"y_cen": -101.3,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"23": {
"chip_name": "g-2",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -146.25,
"y_cen": 0.0,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"24": {
"chip_name": "i-2",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -146.25,
"y_cen": 101.3,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"25": {
"chip_name": "y-2",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -146.25,
"y_cen": 202.6,
"rotate_angle": 0.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"26": {
"chip_name": "GV-3",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -251.5,
"y_cen": -202.6,
"rotate_angle": 1.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"27": {
"chip_name": "GU-3",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -251.5,
"y_cen": -101.3,
"rotate_angle": 1.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"28": {
"chip_name": "GU-4",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -251.5,
"y_cen": 0.0,
"rotate_angle": 1.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"29": {
"chip_name": "GV-4",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -251.5,
"y_cen": 101.3,
"rotate_angle": 1.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
},
"30": {
"chip_name": "GI-4",
"pix_size": 0.01,
"pix_scale": 0.074,
"npix_x": 9216,
"npix_y": 9232,
"x_cen": -251.5,
"y_cen": 202.6,
"rotate_angle": 1.0,
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
}
}
\ No newline at end of file
ObservationSim/Instrument/data/filters/fgs_sub.list 0 → 100644
View file @ 1c871e69
3000
4500
4750
5000
6000
6500
7500
8500
11000
\ No newline at end of file
ObservationSim/Instrument/data/throughputs/fgs_throughput.txt 0 → 100644
View file @ 1c871e69
# fgs_cssc
# lambda_Angst throughput
2000.00 0.00000
2010.00 0.00000
2020.00 0.00000
2030.00 0.00000
2040.00 0.00000
2050.00 0.00000
2060.00 0.00000
2070.00 0.00000
2080.00 0.00000
2090.00 0.00000
2100.00 0.00000
2110.00 0.00000
2120.00 0.00000
2130.00 0.00000
2140.00 0.00000
2150.00 0.00001
2160.00 0.00001
2170.00 0.00001
2180.00 0.00001
2190.00 0.00001
2200.00 0.00001
2210.00 0.00001
2220.00 0.00002
2230.00 0.00002
2240.00 0.00002
2250.00 0.00002
2260.00 0.00003
2270.00 0.00003
2280.00 0.00003
2290.00 0.00004
2300.00 0.00004
2310.00 0.00005
2320.00 0.00005
2330.00 0.00006
2340.00 0.00006
2350.00 0.00007
2360.00 0.00007
2370.00 0.00008
2380.00 0.00008
2390.00 0.00009
2400.00 0.00010
2410.00 0.00011
2420.00 0.00011
2430.00 0.00012
2440.00 0.00013
2450.00 0.00014
2460.00 0.00015
2470.00 0.00016
2480.00 0.00017
2490.00 0.00018
2500.00 0.00019
2510.00 0.00019
2520.00 0.00020
2530.00 0.00021
2540.00 0.00022
2550.00 0.00023
2560.00 0.00023
2570.00 0.00022
2580.00 0.00022
2590.00 0.00021
2600.00 0.00021
2610.00 0.00021
2620.00 0.00021
2630.00 0.00021
2640.00 0.00020
2650.00 0.00020
2660.00 0.00019
2670.00 0.00018
2680.00 0.00017
2690.00 0.00017
2700.00 0.00017
2710.00 0.00016
2720.00 0.00016
2730.00 0.00016
2740.00 0.00015
2750.00 0.00015
2760.00 0.00015
2770.00 0.00016
2780.00 0.00016
2790.00 0.00017
2800.00 0.00017
2810.00 0.00018
2820.00 0.00019
2830.00 0.00019
2840.00 0.00019
2850.00 0.00020
2860.00 0.00020
2870.00 0.00021
2880.00 0.00021
2890.00 0.00022
2900.00 0.00022
2910.00 0.00023
2920.00 0.00023
2930.00 0.00023
2940.00 0.00023
2950.00 0.00023
2960.00 0.00022
2970.00 0.00022
2980.00 0.00022
2990.00 0.00023
3.000000000000000000e+03 6.330812045813337396e-02
3.020000000000000000e+03 7.670753732263933811e-02
3.040000000000000000e+03 9.457913538725945535e-02
3.060000000000000000e+03 1.105372967685317592e-01
3.080000000000000000e+03 1.215876025117385434e-01
3.100000000000000000e+03 1.389672390312199912e-01
3.120000000000000000e+03 1.548650104743574119e-01
3.140000000000000000e+03 1.640442971960397456e-01
3.160000000000000000e+03 1.741930486442928860e-01
3.180000000000000000e+03 1.961257608548894471e-01
3.200000000000000000e+03 2.126123985149099282e-01
3.220000000000000000e+03 2.240846159413707739e-01
3.240000000000000000e+03 2.341222206386793514e-01
3.260000000000000000e+03 2.473473146680077173e-01
3.280000000000000000e+03 2.745360934284346577e-01
3.300000000000000000e+03 3.183086156598757266e-01
3.320000000000000000e+03 3.490051635873731573e-01
3.340000000000000000e+03 3.584389645493231136e-01
3.360000000000000000e+03 3.670722141894850465e-01
3.380000000000000000e+03 3.848601057255426339e-01
3.400000000000000000e+03 3.930832812193503223e-01
3.420000000000000000e+03 3.959170003201946675e-01
3.440000000000000000e+03 3.869439373769253399e-01
3.460000000000000000e+03 3.800336768323384629e-01
3.480000000000000000e+03 3.913153410850532254e-01
3.500000000000000000e+03 3.911448284461088165e-01
3.520000000000000000e+03 3.821299767417433713e-01
3.540000000000000000e+03 3.649787404087624365e-01
3.560000000000000000e+03 3.510985641831776416e-01
3.580000000000000000e+03 3.335438354240993220e-01
3.600000000000000000e+03 3.247943385500417501e-01
3.620000000000000000e+03 3.229360094194214104e-01
3.640000000000000000e+03 3.150634301845712248e-01
3.660000000000000000e+03 3.113848380582427411e-01
3.680000000000000000e+03 3.122022537429203770e-01
3.700000000000000000e+03 3.116217669176988836e-01
3.720000000000000000e+03 3.048772307120263259e-01
3.740000000000000000e+03 3.037785583961263858e-01
3.760000000000000000e+03 3.154303356914772705e-01
3.780000000000000000e+03 3.255325925687380662e-01
3.800000000000000000e+03 3.264902551728756652e-01
3.820000000000000000e+03 3.307967579681854731e-01
3.840000000000000000e+03 3.441822280754525121e-01
3.860000000000000000e+03 3.562799265950001848e-01
3.880000000000000000e+03 3.698810755509576720e-01
3.900000000000000000e+03 3.831557928385191936e-01
3.920000000000000000e+03 3.906082419359617197e-01
3.940000000000000000e+03 3.971628421019942068e-01
3.960000000000000000e+03 4.092462479862696845e-01
3.980000000000000000e+03 4.197953207663929209e-01
4.000000000000000000e+03 4.283314763335623332e-01
4.020000000000000000e+03 4.385490684074989098e-01
4.040000000000000000e+03 4.508391884655688631e-01
4.060000000000000000e+03 4.645617832389959956e-01
4.080000000000000000e+03 4.808966283632188365e-01
4.100000000000000000e+03 4.969737082794632999e-01
4.120000000000000000e+03 5.103332043888777481e-01
4.140000000000000000e+03 5.276038587486608922e-01
4.160000000000000000e+03 5.473026924613549893e-01
4.180000000000000000e+03 5.652568378983251485e-01
4.200000000000000000e+03 5.806005651337102780e-01
4.220000000000000000e+03 5.903466706846162149e-01
4.240000000000000000e+03 6.013259161859484392e-01
4.260000000000000000e+03 6.116676934616835926e-01
4.280000000000000000e+03 6.230723546471242935e-01
4.300000000000000000e+03 6.337683557884759011e-01
4.320000000000000000e+03 6.418998404044518047e-01
4.340000000000000000e+03 6.498941060820193627e-01
4.360000000000000000e+03 6.532370766962771746e-01
4.380000000000000000e+03 6.584168605572161548e-01
4.400000000000000000e+03 6.623832077987570344e-01
4.420000000000000000e+03 6.637032492759566971e-01
4.440000000000000000e+03 6.625928763230863883e-01
4.460000000000000000e+03 6.550664013283420406e-01
4.480000000000000000e+03 6.458614738891323981e-01
4.500000000000000000e+03 6.355518019916817085e-01
4.520000000000000000e+03 6.219272586521428225e-01
4.540000000000000000e+03 6.080489229191166078e-01
4.560000000000000000e+03 5.943746991424413428e-01
4.580000000000000000e+03 5.842844039273258350e-01
4.600000000000000000e+03 5.753944892073880046e-01
4.620000000000000000e+03 5.671720542032158141e-01
4.640000000000000000e+03 5.642419538720495620e-01
4.660000000000000000e+03 5.615862886193648817e-01
4.680000000000000000e+03 5.569096633489849513e-01
4.700000000000000000e+03 5.561119196612702709e-01
4.720000000000000000e+03 5.575673732184446285e-01
4.740000000000000000e+03 5.591322084872266673e-01
4.760000000000000000e+03 5.697554334390410036e-01
4.780000000000000000e+03 5.683525396406713392e-01
4.800000000000000000e+03 5.696960107745417945e-01
4.820000000000000000e+03 5.800592351147152437e-01
4.840000000000000000e+03 5.872527835376745164e-01
4.860000000000000000e+03 5.946846974239301531e-01
4.880000000000000000e+03 6.030204096264187852e-01
4.900000000000000000e+03 6.138975750423433242e-01
4.920000000000000000e+03 6.247826287419537827e-01
4.940000000000000000e+03 6.333104087704682916e-01
4.960000000000000000e+03 6.408367374674480699e-01
4.980000000000000000e+03 6.459501416982532662e-01
5.000000000000000000e+03 6.516698291495482964e-01
5.020000000000000000e+03 6.518080308202535145e-01
5.040000000000000000e+03 6.532712923346204459e-01
5.060000000000000000e+03 6.538447970502083706e-01
5.080000000000000000e+03 6.496735216634323962e-01
5.100000000000000000e+03 6.436688719354790589e-01
5.120000000000000000e+03 6.377366259982214514e-01
5.140000000000000000e+03 6.323700953191770946e-01
5.160000000000000000e+03 6.300503567451554154e-01
5.180000000000000000e+03 6.301189034891401253e-01
5.200000000000000000e+03 6.283446118520072954e-01
5.220000000000000000e+03 6.266360532956244400e-01
5.240000000000000000e+03 6.232276058151379194e-01
5.260000000000000000e+03 6.244308022322327956e-01
5.280000000000000000e+03 6.248724307930481059e-01
5.300000000000000000e+03 6.258149046943198845e-01
5.320000000000000000e+03 6.250463130955835611e-01
5.340000000000000000e+03 6.223741452974395072e-01
5.360000000000000000e+03 6.212597845964885623e-01
5.380000000000000000e+03 6.209861969073811050e-01
5.400000000000000000e+03 6.177958767393054718e-01
5.420000000000000000e+03 6.132338416418634530e-01
5.440000000000000000e+03 6.083217679188620552e-01
5.460000000000000000e+03 6.012603597017081025e-01
5.480000000000000000e+03 5.940061547963575439e-01
5.500000000000000000e+03 5.841448702792774172e-01
5.520000000000000000e+03 5.756456145431929627e-01
5.540000000000000000e+03 5.648028604329227154e-01
5.560000000000000000e+03 5.549481672930591802e-01
5.580000000000000000e+03 5.504339608010132556e-01
5.600000000000000000e+03 5.435111143109307985e-01
5.620000000000000000e+03 5.357476709746004095e-01
5.640000000000000000e+03 5.320148855071296090e-01
5.660000000000000000e+03 5.305971987546633795e-01
5.680000000000000000e+03 5.299307527523110517e-01
5.700000000000000000e+03 5.346642314745955193e-01
5.720000000000000000e+03 5.430049747935866700e-01
5.740000000000000000e+03 5.558472631010458187e-01
5.760000000000000000e+03 5.669705280463437358e-01
5.780000000000000000e+03 5.776084154271731164e-01
5.800000000000000000e+03 5.846068867977080030e-01
5.820000000000000000e+03 5.841426001125640255e-01
5.840000000000000000e+03 5.836784599053755906e-01
5.860000000000000000e+03 5.804189712888555563e-01
5.880000000000000000e+03 5.756940009671260849e-01
5.900000000000000000e+03 5.693182480810373702e-01
5.920000000000000000e+03 5.611052256713775499e-01
5.940000000000000000e+03 5.523048765312131847e-01
5.960000000000000000e+03 5.437306577323383072e-01
5.980000000000000000e+03 5.376371945410282072e-01
6.000000000000000000e+03 5.339523585903820369e-01
6.020000000000000000e+03 5.310235535682374941e-01
6.040000000000000000e+03 5.293611314324186967e-01
6.060000000000000000e+03 5.256837343916562766e-01
6.080000000000000000e+03 5.231569040388276415e-01
6.100000000000000000e+03 5.191150751161285326e-01
6.120000000000000000e+03 5.153621981380848149e-01
6.140000000000000000e+03 5.128734859390938761e-01
6.160000000000000000e+03 5.084410244339570006e-01
6.180000000000000000e+03 5.048611772358244654e-01
6.200000000000000000e+03 5.006861472431808346e-01
6.220000000000000000e+03 4.960558780734578010e-01
6.240000000000000000e+03 4.900570417343015350e-01
6.260000000000000000e+03 4.830150485163599017e-01
6.280000000000000000e+03 4.770585338663891894e-01
6.300000000000000000e+03 4.714641482003744111e-01
6.320000000000000000e+03 4.638887736233234804e-01
6.340000000000000000e+03 4.566966192255730306e-01
6.360000000000000000e+03 4.506189218033286314e-01
6.380000000000000000e+03 4.460796083285573643e-01
6.400000000000000000e+03 4.384459460600405589e-01
6.420000000000000000e+03 4.331915864885545475e-01
6.440000000000000000e+03 4.279303987220463013e-01
6.460000000000000000e+03 4.227449336119846746e-01
6.480000000000000000e+03 4.204051336069846712e-01
6.500000000000000000e+03 4.150341880711640452e-01
6.520000000000000000e+03 4.108533980246649731e-01
6.540000000000000000e+03 4.064237858210493770e-01
6.560000000000000000e+03 4.009942600174490335e-01
6.580000000000000000e+03 3.969206078670676208e-01
6.600000000000000000e+03 3.921941041785945159e-01
6.620000000000000000e+03 3.901572913901848461e-01
6.640000000000000000e+03 3.838818332277898482e-01
6.660000000000000000e+03 3.810472472273133127e-01
6.680000000000000000e+03 3.776929839247752940e-01
6.700000000000000000e+03 3.736463752561881568e-01
6.720000000000000000e+03 3.695741552685452569e-01
6.740000000000000000e+03 3.645821012155553986e-01
6.760000000000000000e+03 3.592049937500626511e-01
6.780000000000000000e+03 3.529097185814455973e-01
6.800000000000000000e+03 3.450700831901369892e-01
6.820000000000000000e+03 3.369151616324637111e-01
6.840000000000000000e+03 3.281033029595681882e-01
6.860000000000000000e+03 3.185352705634660886e-01
6.880000000000000000e+03 3.100990766653634045e-01
6.900000000000000000e+03 3.027636582135314613e-01
6.920000000000000000e+03 2.986803434058665774e-01
6.940000000000000000e+03 2.973311905406896272e-01
6.960000000000000000e+03 2.951659284284126605e-01
6.980000000000000000e+03 2.963826489307986312e-01
7.000000000000000000e+03 2.961879034028243596e-01
7.020000000000000000e+03 2.969209343829541936e-01
7.040000000000000000e+03 2.971311859308420344e-01
7.060000000000000000e+03 2.971074025707563515e-01
7.080000000000000000e+03 2.989979227303383724e-01
7.100000000000000000e+03 2.997423693977802617e-01
7.120000000000000000e+03 3.012606277644150343e-01
7.140000000000000000e+03 3.046461180094032772e-01
7.160000000000000000e+03 3.050279658318308940e-01
7.180000000000000000e+03 3.084475199188941308e-01
7.200000000000000000e+03 3.102379542923985878e-01
7.220000000000000000e+03 3.134101659412124596e-01
7.240000000000000000e+03 3.151539334892823896e-01
7.260000000000000000e+03 3.175207509574417553e-01
7.280000000000000000e+03 3.187048622233846218e-01
7.300000000000000000e+03 3.188527701469067166e-01
7.320000000000000000e+03 3.219798323513023419e-01
7.340000000000000000e+03 3.234702314235740062e-01
7.360000000000000000e+03 3.229390842565718067e-01
7.380000000000000000e+03 3.254616904399315058e-01
7.400000000000000000e+03 3.287265528015929639e-01
7.420000000000000000e+03 3.284602333599662694e-01
7.440000000000000000e+03 3.302148782338085731e-01
7.460000000000000000e+03 3.308622008749660393e-01
7.480000000000000000e+03 3.332497780337516646e-01
7.500000000000000000e+03 3.341795178746836958e-01
7.520000000000000000e+03 3.344349988534341955e-01
7.540000000000000000e+03 3.332260762211604055e-01
7.560000000000000000e+03 3.331830608070346922e-01
7.580000000000000000e+03 3.298711135874501377e-01
7.600000000000000000e+03 3.269689508224936647e-01
7.620000000000000000e+03 3.234669526455535848e-01
7.640000000000000000e+03 3.188945876469818641e-01
7.660000000000000000e+03 3.144740486886982711e-01
7.680000000000000000e+03 3.113076564346033970e-01
7.700000000000000000e+03 3.055636426807978867e-01
7.720000000000000000e+03 2.994744442254859695e-01
7.740000000000000000e+03 2.936319897951902846e-01
7.760000000000000000e+03 2.845595920183053851e-01
7.780000000000000000e+03 2.806121050327816113e-01
7.800000000000000000e+03 2.745157052825408228e-01
7.820000000000000000e+03 2.651318850419535078e-01
7.840000000000000000e+03 2.585209636065871064e-01
7.860000000000000000e+03 2.530669587481049199e-01
7.880000000000000000e+03 2.464881627405064446e-01
7.900000000000000000e+03 2.406743817710244038e-01
7.920000000000000000e+03 2.354438585039373977e-01
7.940000000000000000e+03 2.285275463972708532e-01
7.960000000000000000e+03 2.234443732732284416e-01
7.980000000000000000e+03 2.195122817344314359e-01
8.000000000000000000e+03 2.136943301987624388e-01
8.020000000000000000e+03 2.084856610606970195e-01
8.040000000000000000e+03 2.043419981916429762e-01
8.060000000000000000e+03 1.993875197984136816e-01
8.080000000000000000e+03 1.955335064521863953e-01
8.100000000000000000e+03 1.922159831039149391e-01
8.120000000000000000e+03 1.869017018935093533e-01
8.140000000000000000e+03 1.820400563909129188e-01
8.160000000000000000e+03 1.774780237778252057e-01
8.180000000000000000e+03 1.737060281058993849e-01
8.200000000000000000e+03 1.694588745985709799e-01
8.220000000000000000e+03 1.653843071978200463e-01
8.240000000000000000e+03 1.592560711484660163e-01
8.260000000000000000e+03 1.565567838750303864e-01
8.280000000000000000e+03 1.506990508160362674e-01
8.300000000000000000e+03 1.480953078201978357e-01
8.320000000000000000e+03 1.437376111902471110e-01
8.340000000000000000e+03 1.404729058447849455e-01
8.360000000000000000e+03 1.372592291057102287e-01
8.380000000000000000e+03 1.329058031558858766e-01
8.400000000000000000e+03 1.307410302822971104e-01
8.420000000000000000e+03 1.264611232238202765e-01
8.440000000000000000e+03 1.242766651401362027e-01
8.460000000000000000e+03 1.208566585603343957e-01
8.480000000000000000e+03 1.211408952218965274e-01
8.500000000000000000e+03 1.159971059148543898e-01
8.520000000000000000e+03 1.156794110135086762e-01
8.540000000000000000e+03 1.134926750170283521e-01
8.560000000000000000e+03 1.102168508025114235e-01
8.580000000000000000e+03 1.084476661433103895e-01
8.600000000000000000e+03 1.063678996107481761e-01
8.620000000000000000e+03 1.067784882985486489e-01
8.640000000000000000e+03 1.041553336430688093e-01
8.660000000000000000e+03 1.020402109396171680e-01
8.680000000000000000e+03 1.006314137768552081e-01
8.700000000000000000e+03 9.857542022709921137e-02
8.720000000000000000e+03 9.653418561820979737e-02
8.740000000000000000e+03 9.570772023030221787e-02
8.760000000000000000e+03 9.502518967909456826e-02
8.780000000000000000e+03 9.125704318931475434e-02
8.800000000000000000e+03 9.053609484137646601e-02
8.820000000000000000e+03 8.903474462460286842e-02
8.840000000000000000e+03 8.712263207902269657e-02
8.860000000000000000e+03 8.702615551048560605e-02
8.880000000000000000e+03 8.614488367494706200e-02
8.900000000000000000e+03 8.469071208522860328e-02
8.920000000000000000e+03 8.452032332293747674e-02
8.940000000000000000e+03 8.354251730142032983e-02
8.960000000000000000e+03 8.312831618683128032e-02
8.980000000000000000e+03 8.397758417473982773e-02
9.000000000000000000e+03 8.299107975344817423e-02
9.020000000000000000e+03 8.341212235828138200e-02
9.040000000000000000e+03 8.276247063841721263e-02
9.060000000000000000e+03 8.380120937568864836e-02
9.080000000000000000e+03 8.390936894661546464e-02
9.100000000000000000e+03 8.306611052508089399e-02
9.120000000000000000e+03 8.322584853144904260e-02
9.140000000000000000e+03 8.302444095302498328e-02
9.160000000000000000e+03 8.358664328270840049e-02
9.180000000000000000e+03 8.373778874958179297e-02
9.200000000000000000e+03 8.329015253129340435e-02
9.220000000000000000e+03 8.379895247790730695e-02
9.240000000000000000e+03 8.293657732715227493e-02
9.260000000000000000e+03 8.342705472074199435e-02
9.280000000000000000e+03 8.389855332904598562e-02
9.300000000000000000e+03 8.353722389692258554e-02
9.320000000000000000e+03 8.371628414300567866e-02
9.340000000000000000e+03 8.353284327405011145e-02
9.360000000000000000e+03 8.372392941746052697e-02
9.380000000000000000e+03 8.420777408855252555e-02
9.400000000000000000e+03 8.365869767404586488e-02
9.420000000000000000e+03 8.368499745363083830e-02
9.440000000000000000e+03 8.286521510379278588e-02
9.460000000000000000e+03 8.216160124306329249e-02
9.480000000000000000e+03 8.098376645095871351e-02
9.500000000000000000e+03 7.900884993664369915e-02
9.520000000000000000e+03 7.739515770405083761e-02
9.540000000000000000e+03 7.470269968877611688e-02
9.560000000000000000e+03 7.290537365533740488e-02
9.580000000000000000e+03 7.111739872391897865e-02
9.600000000000000000e+03 6.753647699994888565e-02
9.620000000000000000e+03 6.462253741359788584e-02
9.640000000000000000e+03 6.114839144175982649e-02
9.660000000000000000e+03 5.836441585067562304e-02
9.680000000000000000e+03 5.520030743697974113e-02
9.700000000000000000e+03 5.151802857504592797e-02
9.720000000000000000e+03 4.809081912036581447e-02
9.740000000000000000e+03 4.507763293296207507e-02
9.760000000000000000e+03 4.186747962506227883e-02
9.780000000000000000e+03 3.873394191998657393e-02
9.800000000000000000e+03 3.537927365930625123e-02
9.820000000000000000e+03 3.228212663204375887e-02
9.840000000000000000e+03 2.927699054486324060e-02
9.860000000000000000e+03 2.657915917384370483e-02
9.880000000000000000e+03 2.408316715582172265e-02
9.900000000000000000e+03 2.154984942805426157e-02
9.920000000000000000e+03 1.938369744705135608e-02
9.940000000000000000e+03 1.757698930679396643e-02
9.960000000000000000e+03 1.609397304462095724e-02
9.980000000000000000e+03 1.469027658303642334e-02
1.000000000000000000e+04 1.368666642185365455e-02
1.002000000000000000e+04 1.291044201036543014e-02
1.004000000000000000e+04 1.216390108682897757e-02
1.006000000000000000e+04 1.150121547147748766e-02
1.008000000000000000e+04 1.076443214145479839e-02
1.010000000000000000e+04 1.005329208594590157e-02
1.012000000000000000e+04 9.398529569841272344e-03
1.014000000000000000e+04 8.732196281031586252e-03
1.016000000000000000e+04 8.141224219461267592e-03
1.018000000000000000e+04 7.544605863533185297e-03
1.020000000000000000e+04 6.921036505864287293e-03
1.022000000000000000e+04 6.371952630320352508e-03
1.024000000000000000e+04 5.812210196609848140e-03
1.026000000000000000e+04 5.370073253453029778e-03
1.028000000000000000e+04 4.877044428434076061e-03
1.030000000000000000e+04 4.396319799938341356e-03
1.032000000000000000e+04 3.991872206723765318e-03
1.034000000000000000e+04 3.600811182396204679e-03
1.036000000000000000e+04 3.245860720593829116e-03
1.038000000000000000e+04 2.915740832931405704e-03
1.040000000000000000e+04 2.615374215278883432e-03
1.042000000000000000e+04 2.362676314302520827e-03
1.044000000000000000e+04 2.134084766313759044e-03
1.046000000000000000e+04 1.947779905279889640e-03
1.048000000000000000e+04 1.809367063179470863e-03
1.050000000000000000e+04 1.684137565890356757e-03
1.052000000000000000e+04 1.592386385136092394e-03
1.054000000000000000e+04 1.502396623571386827e-03
1.056000000000000000e+04 1.412937374254588435e-03
1.058000000000000000e+04 1.332566704508197962e-03
1.060000000000000000e+04 1.249076612780975057e-03
1.062000000000000000e+04 1.168011100011822874e-03
1.064000000000000000e+04 1.093403142437080530e-03
1.066000000000000000e+04 1.017231975596058101e-03
1.068000000000000000e+04 9.541878197899651909e-04
1.070000000000000000e+04 8.818853783550537799e-04
1.072000000000000000e+04 8.177561499277094569e-04
1.074000000000000000e+04 7.580692671650877913e-04
1.076000000000000000e+04 7.049075738400470458e-04
1.078000000000000000e+04 6.549480091503107494e-04
1.080000000000000000e+04 6.044486155346169261e-04
1.082000000000000000e+04 5.592755411023689945e-04
1.084000000000000000e+04 5.213102213921029819e-04
1.086000000000000000e+04 4.846714550727942755e-04
1.088000000000000000e+04 4.552350096777482550e-04
1.090000000000000000e+04 4.268609951691339915e-04
1.092000000000000000e+04 4.049802108627010948e-04
1.094000000000000000e+04 3.869359935817117866e-04
1.096000000000000000e+04 3.759120063398248800e-04
1.098000000000000000e+04 3.689708894652466136e-04
1.100000000000000000e+04 3.650072107129869185e-04
ObservationSim/Instrument/data/throughputs/g_throughput.txt
View file @ 1c871e69
# g_css
# g_cssc
# lambda_Angst throughput
2000.00 0.00000
2010.00 0.00000
2020.00 0.00000
......@@ -14,102 +15,102 @@
2120.00 0.00000
2130.00 0.00000
2140.00 0.00000
2150.00 0.00000
2160.00 0.00000
2170.00 0.00000
2180.00 0.00000
2190.00 0.00000
2200.00 0.00000
2210.00 0.00000
2220.00 0.00000
2230.00 0.00000
2240.00 0.00000
2250.00 0.00000
2260.00 0.00000
2270.00 0.00000
2280.00 0.00000
2290.00 0.00000
2300.00 0.00000
2310.00 0.00000
2320.00 0.00000
2330.00 0.00000
2340.00 0.00000
2350.00 0.00000
2360.00 0.00000
2370.00 0.00000
2380.00 0.00000
2390.00 0.00000
2400.00 0.00000
2410.00 0.00000
2420.00 0.00000
2430.00 0.00000
2440.00 0.00000
2450.00 0.00000
2460.00 0.00000
2470.00 0.00000
2480.00 0.00000
2490.00 0.00000
2500.00 0.00000
2510.00 0.00000
2520.00 0.00000
2530.00 0.00000
2540.00 0.00000
2550.00 0.00000
2560.00 0.00000
2570.00 0.00000
2580.00 0.00000
2590.00 0.00000
2600.00 0.00000
2610.00 0.00000
2620.00 0.00000
2630.00 0.00000
2640.00 0.00000
2650.00 0.00000
2660.00 0.00000
2670.00 0.00000
2680.00 0.00000
2690.00 0.00000
2700.00 0.00000
2710.00 0.00000
2720.00 0.00000
2730.00 0.00000
2740.00 0.00000
2750.00 0.00000
2760.00 0.00000
2770.00 0.00000
2780.00 0.00000
2790.00 0.00000
2800.00 0.00000
2810.00 0.00000
2820.00 0.00000
2830.00 0.00000
2840.00 0.00000
2850.00 0.00000
2860.00 0.00000
2870.00 0.00000
2880.00 0.00000
2890.00 0.00000
2900.00 0.00000
2910.00 0.00000
2920.00 0.00000
2930.00 0.00000
2940.00 0.00000
2950.00 0.00000
2960.00 0.00000
2970.00 0.00000
2980.00 0.00000
2990.00 0.00000
3000.00 0.00000
3010.00 0.00000
3020.00 0.00000
3030.00 0.00000
3040.00 0.00000
3050.00 0.00000
3060.00 0.00000
3070.00 0.00000
3080.00 0.00000
3090.00 0.00000
3100.00 0.00000
2150.00 0.00001
2160.00 0.00001
2170.00 0.00001
2180.00 0.00001
2190.00 0.00001
2200.00 0.00001
2210.00 0.00001
2220.00 0.00002
2230.00 0.00002
2240.00 0.00002
2250.00 0.00002
2260.00 0.00003
2270.00 0.00003
2280.00 0.00003
2290.00 0.00004
2300.00 0.00004
2310.00 0.00005
2320.00 0.00005
2330.00 0.00006
2340.00 0.00006
2350.00 0.00007
2360.00 0.00007
2370.00 0.00008
2380.00 0.00008
2390.00 0.00009
2400.00 0.00010
2410.00 0.00011
2420.00 0.00011
2430.00 0.00012
2440.00 0.00013
2450.00 0.00014
2460.00 0.00015
2470.00 0.00016
2480.00 0.00017
2490.00 0.00018
2500.00 0.00019
2510.00 0.00019
2520.00 0.00020
2530.00 0.00021
2540.00 0.00022
2550.00 0.00023
2560.00 0.00023
2570.00 0.00022
2580.00 0.00022
2590.00 0.00021
2600.00 0.00021
2610.00 0.00021
2620.00 0.00021
2630.00 0.00021
2640.00 0.00020
2650.00 0.00020
2660.00 0.00019
2670.00 0.00018
2680.00 0.00017
2690.00 0.00017
2700.00 0.00017
2710.00 0.00016
2720.00 0.00016
2730.00 0.00016
2740.00 0.00015
2750.00 0.00015
2760.00 0.00015
2770.00 0.00016
2780.00 0.00016
2790.00 0.00017
2800.00 0.00017
2810.00 0.00018
2820.00 0.00019
2830.00 0.00019
2840.00 0.00019
2850.00 0.00020
2860.00 0.00020
2870.00 0.00021
2880.00 0.00021
2890.00 0.00022
2900.00 0.00022
2910.00 0.00023
2920.00 0.00023
2930.00 0.00023
2940.00 0.00023
2950.00 0.00023
2960.00 0.00022
2970.00 0.00022
2980.00 0.00022
2990.00 0.00023
3000.00 0.00023
3010.00 0.00029
3020.00 0.00029
3030.00 0.00023
3040.00 0.00015
3050.00 0.00008
3060.00 0.00003
3070.00 0.00002
3080.00 0.00001
3090.00 0.00001
3100.00 0.00001
3110.00 0.00000
3120.00 0.00000
3130.00 0.00000
......@@ -184,194 +185,194 @@
3820.00 0.00000
3830.00 0.00000
3840.00 0.00000
3850.00 0.00000
3860.00 0.00000
3870.00 0.00000
3880.00 0.00000
3890.00 0.00000
3900.00 0.00000
3910.00 0.00000
3920.00 0.00000
3930.00 0.00000
3940.00 0.00000
3950.00 0.00000
3960.00 0.00000
3970.00 0.00000
3980.00 0.00000
3990.00 0.00000
4000.00 0.00000
4010.00 0.00000
4020.00 0.04006
4030.00 0.12152
4040.00 0.20475
4050.00 0.28977
4060.00 0.37657
4070.00 0.42288
4080.00 0.42736
4090.00 0.43186
4100.00 0.43636
4110.00 0.44008
4120.00 0.44382
4130.00 0.44756
4140.00 0.45131
4150.00 0.45506
4160.00 0.45883
4170.00 0.46261
4180.00 0.46639
4190.00 0.47019
4200.00 0.47399
4210.00 0.47680
4220.00 0.47961
4230.00 0.48243
4240.00 0.48525
4250.00 0.48808
4260.00 0.49092
4270.00 0.49376
4280.00 0.49661
4290.00 0.49947
4300.00 0.50233
4310.00 0.50513
4320.00 0.50793
4330.00 0.51074
4340.00 0.51356
4350.00 0.51638
4360.00 0.51921
4370.00 0.52204
4380.00 0.52488
4390.00 0.52773
4400.00 0.53058
4410.00 0.53337
4420.00 0.53616
4430.00 0.53896
4440.00 0.54177
4450.00 0.54458
4460.00 0.54740
4470.00 0.55022
4480.00 0.55305
4490.00 0.55588
4500.00 0.55872
4510.00 0.56107
4520.00 0.56344
4530.00 0.56580
4540.00 0.56817
4550.00 0.57054
4560.00 0.57292
4570.00 0.57530
4580.00 0.57769
4590.00 0.58008
4600.00 0.58248
4610.00 0.58480
4620.00 0.58714
4630.00 0.58947
4640.00 0.59182
4650.00 0.59416
4660.00 0.59651
4670.00 0.59886
4680.00 0.60122
4690.00 0.60358
4700.00 0.60595
4710.00 0.60810
4720.00 0.61026
4730.00 0.61243
4740.00 0.61459
4750.00 0.61668
4760.00 0.61805
4770.00 0.61942
4780.00 0.62078
4790.00 0.62215
4800.00 0.62352
4810.00 0.62467
4820.00 0.62582
4830.00 0.62698
4840.00 0.62813
4850.00 0.62928
4860.00 0.63043
4870.00 0.63158
4880.00 0.63274
4890.00 0.63389
4900.00 0.63504
4910.00 0.63590
4920.00 0.63677
4930.00 0.63763
4940.00 0.63850
4950.00 0.63936
4960.00 0.64022
4970.00 0.64109
4980.00 0.64195
4990.00 0.64282
5000.00 0.64368
5010.00 0.64433
5020.00 0.64498
5030.00 0.64562
5040.00 0.64627
5050.00 0.64692
5060.00 0.64757
5070.00 0.64822
5080.00 0.64886
5090.00 0.64951
5100.00 0.65016
5110.00 0.65095
5120.00 0.65174
5130.00 0.65254
5140.00 0.65333
5150.00 0.65412
5160.00 0.65491
5170.00 0.65570
5180.00 0.65650
5190.00 0.65729
5200.00 0.65808
5210.00 0.65866
5220.00 0.65923
5230.00 0.65981
5240.00 0.66038
5250.00 0.66096
5260.00 0.66154
5270.00 0.66211
5280.00 0.66269
5290.00 0.66326
5300.00 0.66384
5310.00 0.66406
5320.00 0.66427
5330.00 0.66449
5340.00 0.66470
5350.00 0.66492
5360.00 0.66514
5370.00 0.66535
5380.00 0.66557
5390.00 0.66578
5400.00 0.66600
5410.00 0.66622
5420.00 0.66643
5430.00 0.66665
5440.00 0.66686
5450.00 0.66708
5460.00 0.66730
5470.00 0.66751
5480.00 0.66773
5490.00 0.55662
5500.00 0.44544
5510.00 0.33422
5520.00 0.22291
5530.00 0.11150
5540.00 0.00000
5550.00 0.00000
5560.00 0.00000
5570.00 0.00000
5580.00 0.00000
5590.00 0.00000
5600.00 0.00000
5610.00 0.00000
5620.00 0.00000
5630.00 0.00000
5640.00 0.00000
5650.00 0.00000
5660.00 0.00000
5670.00 0.00000
5680.00 0.00000
5690.00 0.00000
5700.00 0.00000
5710.00 0.00000
5720.00 0.00000
3850.00 0.00001
3860.00 0.00001
3870.00 0.00002
3880.00 0.00003
3890.00 0.00006
3900.00 0.00009
3910.00 0.00015
3920.00 0.00026
3930.00 0.00050
3940.00 0.00100
3950.00 0.00205
3960.00 0.00437
3970.00 0.00962
3980.00 0.02183
3990.00 0.04851
4000.00 0.09436
4010.00 0.15746
4020.00 0.22882
4030.00 0.29197
4040.00 0.33603
4050.00 0.35924
4060.00 0.36793
4070.00 0.37436
4080.00 0.38515
4090.00 0.40138
4100.00 0.41976
4110.00 0.43396
4120.00 0.44410
4130.00 0.45148
4140.00 0.45555
4150.00 0.45950
4160.00 0.46325
4170.00 0.46808
4180.00 0.47311
4190.00 0.47932
4200.00 0.48490
4210.00 0.48809
4220.00 0.49160
4230.00 0.49607
4240.00 0.50154
4250.00 0.50660
4260.00 0.51182
4270.00 0.51588
4280.00 0.51954
4290.00 0.52298
4300.00 0.52681
4310.00 0.53111
4320.00 0.53565
4330.00 0.54065
4340.00 0.54552
4350.00 0.54842
4360.00 0.55056
4370.00 0.55320
4380.00 0.55497
4390.00 0.55628
4400.00 0.55810
4410.00 0.56022
4420.00 0.56418
4430.00 0.56784
4440.00 0.57139
4450.00 0.57177
4460.00 0.57109
4470.00 0.57056
4480.00 0.57073
4490.00 0.57231
4500.00 0.57505
4510.00 0.57659
4520.00 0.57743
4530.00 0.57720
4540.00 0.57605
4550.00 0.57356
4560.00 0.57143
4570.00 0.57015
4580.00 0.56881
4590.00 0.56722
4600.00 0.56571
4610.00 0.56305
4620.00 0.56048
4630.00 0.55917
4640.00 0.55810
4650.00 0.55639
4660.00 0.55511
4670.00 0.55352
4680.00 0.55241
4690.00 0.55337
4700.00 0.55467
4710.00 0.55663
4720.00 0.55920
4730.00 0.56196
4740.00 0.56446
4750.00 0.57075
4760.00 0.57642
4770.00 0.57513
4780.00 0.57322
4790.00 0.57242
4800.00 0.57303
4810.00 0.57907
4820.00 0.58632
4830.00 0.59307
4840.00 0.59971
4850.00 0.60540
4860.00 0.61026
4870.00 0.61448
4880.00 0.61726
4890.00 0.62186
4900.00 0.62654
4910.00 0.63196
4920.00 0.63856
4930.00 0.64481
4940.00 0.65124
4950.00 0.65668
4960.00 0.66159
4970.00 0.66490
4980.00 0.66745
4990.00 0.67020
5000.00 0.67297
5010.00 0.67341
5020.00 0.67379
5030.00 0.67496
5040.00 0.67633
5050.00 0.67812
5060.00 0.68082
5070.00 0.68378
5080.00 0.68717
5090.00 0.69072
5100.00 0.69383
5110.00 0.69629
5120.00 0.69830
5130.00 0.69963
5140.00 0.70051
5150.00 0.70226
5160.00 0.70355
5170.00 0.70512
5180.00 0.70682
5190.00 0.70669
5200.00 0.70497
5210.00 0.70215
5220.00 0.69898
5230.00 0.69597
5240.00 0.69425
5250.00 0.69655
5260.00 0.69875
5270.00 0.69979
5280.00 0.69936
5290.00 0.69911
5300.00 0.69912
5310.00 0.69944
5320.00 0.70162
5330.00 0.70301
5340.00 0.70379
5350.00 0.70471
5360.00 0.70421
5370.00 0.70443
5380.00 0.70456
5390.00 0.70318
5400.00 0.70132
5410.00 0.69908
5420.00 0.69593
5430.00 0.69241
5440.00 0.68567
5450.00 0.66743
5460.00 0.62882
5470.00 0.56275
5480.00 0.47122
5490.00 0.36060
5500.00 0.24974
5510.00 0.15776
5520.00 0.08989
5530.00 0.04709
5540.00 0.02357
5550.00 0.01164
5560.00 0.00594
5570.00 0.00313
5580.00 0.00172
5590.00 0.00099
5600.00 0.00058
5610.00 0.00035
5620.00 0.00022
5630.00 0.00014
5640.00 0.00009
5650.00 0.00006
5660.00 0.00004
5670.00 0.00003
5680.00 0.00002
5690.00 0.00001
5700.00 0.00001
5710.00 0.00001
5720.00 0.00001
5730.00 0.00000
5740.00 0.00000
5750.00 0.00000
......@@ -599,115 +600,115 @@
7970.00 0.00000
7980.00 0.00000
7990.00 0.00000
8000.00 0.00000
8010.00 0.00000
8020.00 0.00000
8030.00 0.00000
8040.00 0.00000
8000.00 0.00002
8010.00 0.00004
8020.00 0.00002
8030.00 0.00002
8040.00 0.00002
8050.00 0.00000
8060.00 0.00000
8070.00 0.00000
8080.00 0.00000
8090.00 0.00000
8070.00 0.00004
8080.00 0.00004
8090.00 0.00002
8100.00 0.00000
8110.00 0.00000
8120.00 0.00000
8130.00 0.00000
8140.00 0.00000
8150.00 0.00000
8160.00 0.00000
8170.00 0.00000
8180.00 0.00000
8190.00 0.00000
8200.00 0.00000
8210.00 0.00000
8220.00 0.00000
8110.00 0.00001
8120.00 0.00001
8130.00 0.00002
8140.00 0.00002
8150.00 0.00003
8160.00 0.00002
8170.00 0.00001
8180.00 0.00001
8190.00 0.00002
8200.00 0.00002
8210.00 0.00001
8220.00 0.00001
8230.00 0.00000
8240.00 0.00000
8250.00 0.00000
8260.00 0.00000
8270.00 0.00000
8280.00 0.00000
8290.00 0.00000
8300.00 0.00000
8310.00 0.00000
8320.00 0.00000
8330.00 0.00000
8340.00 0.00000
8350.00 0.00000
8360.00 0.00000
8370.00 0.00000
8380.00 0.00000
8390.00 0.00000
8400.00 0.00000
8410.00 0.00000
8420.00 0.00000
8430.00 0.00000
8440.00 0.00000
8450.00 0.00000
8460.00 0.00000
8470.00 0.00000
8480.00 0.00000
8490.00 0.00000
8500.00 0.00000
8510.00 0.00000
8520.00 0.00000
8530.00 0.00000
8540.00 0.00000
8550.00 0.00000
8560.00 0.00000
8570.00 0.00000
8580.00 0.00000
8590.00 0.00000
8600.00 0.00000
8610.00 0.00000
8620.00 0.00000
8630.00 0.00000
8640.00 0.00000
8650.00 0.00000
8660.00 0.00000
8670.00 0.00000
8240.00 0.00001
8250.00 0.00001
8260.00 0.00002
8270.00 0.00001
8280.00 0.00001
8290.00 0.00001
8300.00 0.00002
8310.00 0.00001
8320.00 0.00001
8330.00 0.00001
8340.00 0.00001
8350.00 0.00001
8360.00 0.00002
8370.00 0.00001
8380.00 0.00001
8390.00 0.00002
8400.00 0.00001
8410.00 0.00001
8420.00 0.00002
8430.00 0.00001
8440.00 0.00001
8450.00 0.00001
8460.00 0.00001
8470.00 0.00002
8480.00 0.00001
8490.00 0.00002
8500.00 0.00002
8510.00 0.00001
8520.00 0.00001
8530.00 0.00001
8540.00 0.00001
8550.00 0.00001
8560.00 0.00002
8570.00 0.00001
8580.00 0.00001
8590.00 0.00001
8600.00 0.00001
8610.00 0.00001
8620.00 0.00001
8630.00 0.00001
8640.00 0.00001
8650.00 0.00001
8660.00 0.00001
8670.00 0.00001
8680.00 0.00000
8690.00 0.00000
8700.00 0.00000
8700.00 0.00001
8710.00 0.00000
8720.00 0.00000
8730.00 0.00000
8720.00 0.00001
8730.00 0.00001
8740.00 0.00000
8750.00 0.00000
8760.00 0.00000
8770.00 0.00000
8780.00 0.00000
8790.00 0.00000
8800.00 0.00000
8810.00 0.00000
8820.00 0.00000
8830.00 0.00000
8840.00 0.00000
8850.00 0.00000
8860.00 0.00000
8870.00 0.00000
8880.00 0.00000
8760.00 0.00001
8770.00 0.00001
8780.00 0.00001
8790.00 0.00001
8800.00 0.00001
8810.00 0.00001
8820.00 0.00001
8830.00 0.00001
8840.00 0.00001
8850.00 0.00001
8860.00 0.00001
8870.00 0.00001
8880.00 0.00001
8890.00 0.00000
8900.00 0.00000
8910.00 0.00000
8920.00 0.00000
8900.00 0.00001
8910.00 0.00001
8920.00 0.00001
8930.00 0.00000
8940.00 0.00000
8950.00 0.00000
8960.00 0.00000
8970.00 0.00000
8940.00 0.00001
8950.00 0.00001
8960.00 0.00001
8970.00 0.00001
8980.00 0.00000
8990.00 0.00000
9000.00 0.00000
9010.00 0.00000
9010.00 0.00001
9020.00 0.00000
9030.00 0.00000
9040.00 0.00000
9050.00 0.00000
9060.00 0.00000
9070.00 0.00000
9080.00 0.00000
9080.00 0.00001
9090.00 0.00000
9100.00 0.00000
9110.00 0.00000
......
ObservationSim/Instrument/data/throughputs/i_throughput.txt
View file @ 1c871e69
# i_css
# i_cssc
# lambda_Angst throughput
2000.00 0.00000
2010.00 0.00000
2020.00 0.00000
......@@ -458,227 +459,227 @@
6560.00 0.00000
6570.00 0.00000
6580.00 0.00000
6590.00 0.00000
6600.00 0.00000
6610.00 0.00000
6620.00 0.00000
6630.00 0.00000
6640.00 0.00000
6650.00 0.00000
6660.00 0.00000
6670.00 0.00000
6680.00 0.00000
6690.00 0.00000
6700.00 0.00000
6710.00 0.00000
6720.00 0.00000
6730.00 0.00000
6740.00 0.00000
6750.00 0.00000
6760.00 0.00000
6770.00 0.00000
6780.00 0.00000
6790.00 0.00000
6800.00 0.00000
6810.00 0.00000
6820.00 0.00000
6830.00 0.00000
6840.00 0.00000
6850.00 0.00000
6860.00 0.04595
6870.00 0.13800
6880.00 0.23026
6890.00 0.32274
6900.00 0.41542
6910.00 0.50826
6920.00 0.60128
6930.00 0.64820
6940.00 0.64886
6950.00 0.64952
6960.00 0.65018
6970.00 0.65084
6980.00 0.65151
6990.00 0.65217
7000.00 0.65283
7010.00 0.65335
7020.00 0.65386
7030.00 0.65438
7040.00 0.65489
7050.00 0.65541
7060.00 0.65592
7070.00 0.65644
7080.00 0.65695
7090.00 0.65747
7100.00 0.65798
7110.00 0.65843
7120.00 0.65887
7130.00 0.65931
7140.00 0.65975
7150.00 0.66019
7160.00 0.66063
7170.00 0.66108
7180.00 0.66152
7190.00 0.66196
7200.00 0.66240
7210.00 0.66262
7220.00 0.66284
7230.00 0.66306
7240.00 0.66328
7250.00 0.66350
7260.00 0.66372
7270.00 0.66395
7280.00 0.66417
7290.00 0.66439
7300.00 0.66461
7310.00 0.66483
7320.00 0.66505
7330.00 0.66527
7340.00 0.66549
7350.00 0.66571
7360.00 0.66593
7370.00 0.66615
7380.00 0.66637
7390.00 0.66660
7400.00 0.66682
7410.00 0.66689
7420.00 0.66696
7430.00 0.66704
7440.00 0.66711
7450.00 0.66718
7460.00 0.66726
7470.00 0.66733
7480.00 0.66740
7490.00 0.66748
7500.00 0.66755
7510.00 0.66755
7520.00 0.66755
7530.00 0.66755
7540.00 0.66755
7550.00 0.66755
7560.00 0.66755
7570.00 0.66755
7580.00 0.66755
7590.00 0.66755
7600.00 0.66755
7610.00 0.66755
7620.00 0.66755
7630.00 0.66755
7640.00 0.66755
7650.00 0.66755
7660.00 0.66755
7670.00 0.66755
7680.00 0.66755
7690.00 0.66755
7700.00 0.66755
7710.00 0.66733
7720.00 0.66711
7730.00 0.66689
7740.00 0.66667
7750.00 0.66645
7760.00 0.66623
7770.00 0.66601
7780.00 0.66579
7790.00 0.66556
7800.00 0.66534
7810.00 0.66490
7820.00 0.66446
7830.00 0.66402
7840.00 0.66358
7850.00 0.66314
7860.00 0.66269
7870.00 0.66225
7880.00 0.66181
7890.00 0.66137
7900.00 0.66093
7910.00 0.66027
7920.00 0.65960
7930.00 0.65894
7940.00 0.65828
7950.00 0.65762
7960.00 0.65695
7970.00 0.65629
7980.00 0.65563
7990.00 0.65497
8000.00 0.65430
8010.00 0.65364
8020.00 0.65298
8030.00 0.65232
8040.00 0.65165
8050.00 0.65099
8060.00 0.65033
8070.00 0.64967
8080.00 0.64900
8090.00 0.64834
8100.00 0.64768
8110.00 0.64665
8120.00 0.64562
8130.00 0.64459
8140.00 0.64356
8150.00 0.64253
8160.00 0.64150
8170.00 0.64047
8180.00 0.63944
8190.00 0.63841
8200.00 0.63738
8210.00 0.63605
8220.00 0.63473
8230.00 0.63340
8240.00 0.63208
8250.00 0.63075
8260.00 0.62943
8270.00 0.62810
8280.00 0.62678
8290.00 0.62545
8300.00 0.62413
8310.00 0.62251
8320.00 0.58640
8330.00 0.51606
8340.00 0.44608
8350.00 0.37646
8360.00 0.30721
8370.00 0.23831
8380.00 0.16977
8390.00 0.10159
8400.00 0.03377
8410.00 0.00000
8420.00 0.00000
8430.00 0.00000
8440.00 0.00000
8450.00 0.00000
8460.00 0.00000
8470.00 0.00000
8480.00 0.00000
8490.00 0.00000
8500.00 0.00000
8510.00 0.00000
8520.00 0.00000
8530.00 0.00000
8540.00 0.00000
8550.00 0.00000
8560.00 0.00000
8570.00 0.00000
8580.00 0.00000
8590.00 0.00000
8600.00 0.00000
8610.00 0.00000
8620.00 0.00000
8630.00 0.00000
8640.00 0.00000
8650.00 0.00000
8660.00 0.00000
8670.00 0.00000
8680.00 0.00000
8690.00 0.00000
8700.00 0.00000
8710.00 0.00000
8720.00 0.00000
8730.00 0.00000
8740.00 0.00000
8750.00 0.00000
8760.00 0.00000
6590.00 0.00001
6600.00 0.00001
6610.00 0.00001
6620.00 0.00002
6630.00 0.00003
6640.00 0.00004
6650.00 0.00007
6660.00 0.00008
6670.00 0.00009
6680.00 0.00014
6690.00 0.00018
6700.00 0.00025
6710.00 0.00035
6720.00 0.00049
6730.00 0.00068
6740.00 0.00095
6750.00 0.00136
6760.00 0.00199
6770.00 0.00294
6780.00 0.00445
6790.00 0.00684
6800.00 0.01071
6810.00 0.01708
6820.00 0.02711
6830.00 0.04282
6840.00 0.06652
6850.00 0.09888
6860.00 0.14166
6870.00 0.19419
6880.00 0.25385
6890.00 0.31733
6900.00 0.37981
6910.00 0.43796
6920.00 0.48951
6930.00 0.53083
6940.00 0.56324
6950.00 0.58455
6960.00 0.59682
6970.00 0.60561
6980.00 0.60940
6990.00 0.60835
7000.00 0.60618
7010.00 0.60527
7020.00 0.60577
7030.00 0.60793
7040.00 0.61200
7050.00 0.61709
7060.00 0.62322
7070.00 0.63095
7080.00 0.63821
7090.00 0.64292
7100.00 0.64626
7110.00 0.64878
7120.00 0.64997
7130.00 0.65232
7140.00 0.65406
7150.00 0.65226
7160.00 0.65081
7170.00 0.65292
7180.00 0.65541
7190.00 0.65667
7200.00 0.65711
7210.00 0.65967
7220.00 0.66207
7230.00 0.66313
7240.00 0.66374
7250.00 0.66539
7260.00 0.66680
7270.00 0.66685
7280.00 0.66702
7290.00 0.66646
7300.00 0.66629
7310.00 0.66932
7320.00 0.67278
7330.00 0.67504
7340.00 0.67726
7350.00 0.67778
7360.00 0.67831
7370.00 0.68199
7380.00 0.68577
7390.00 0.68984
7400.00 0.69362
7410.00 0.69332
7420.00 0.69276
7430.00 0.69385
7440.00 0.69474
7450.00 0.69416
7460.00 0.69332
7470.00 0.69433
7480.00 0.69497
7490.00 0.69420
7500.00 0.69362
7510.00 0.69276
7520.00 0.69222
7530.00 0.69099
7540.00 0.69025
7550.00 0.69202
7560.00 0.69383
7570.00 0.69339
7580.00 0.69343
7590.00 0.69509
7600.00 0.69705
7610.00 0.69930
7620.00 0.70161
7630.00 0.70368
7640.00 0.70584
7650.00 0.70841
7660.00 0.71096
7670.00 0.71507
7680.00 0.71902
7690.00 0.71999
7700.00 0.72073
7710.00 0.72065
7720.00 0.72011
7730.00 0.71996
7740.00 0.71957
7750.00 0.71536
7760.00 0.71111
7770.00 0.71377
7780.00 0.71623
7790.00 0.71655
7800.00 0.71724
7810.00 0.71336
7820.00 0.70964
7830.00 0.70962
7840.00 0.70961
7850.00 0.71095
7860.00 0.71248
7870.00 0.71171
7880.00 0.71055
7890.00 0.70995
7900.00 0.70901
7910.00 0.70812
7920.00 0.70705
7930.00 0.70299
7940.00 0.69865
7950.00 0.69705
7960.00 0.69556
7970.00 0.69552
7980.00 0.69573
7990.00 0.69293
8000.00 0.69054
8010.00 0.68913
8020.00 0.68773
8030.00 0.68869
8040.00 0.68958
8050.00 0.68922
8060.00 0.68897
8070.00 0.69058
8080.00 0.69198
8090.00 0.69425
8100.00 0.69658
8110.00 0.69466
8120.00 0.69258
8130.00 0.69134
8140.00 0.69023
8150.00 0.68944
8160.00 0.68843
8170.00 0.68879
8180.00 0.68882
8190.00 0.68806
8200.00 0.68653
8210.00 0.68482
8220.00 0.68292
8230.00 0.67639
8240.00 0.67012
8250.00 0.67081
8260.00 0.67174
8270.00 0.66608
8280.00 0.66080
8290.00 0.66262
8300.00 0.66391
8310.00 0.65922
8320.00 0.65126
8330.00 0.64064
8340.00 0.62381
8350.00 0.59850
8360.00 0.56510
8370.00 0.52167
8380.00 0.46983
8390.00 0.41697
8400.00 0.36189
8410.00 0.30067
8420.00 0.24099
8430.00 0.18838
8440.00 0.13948
8450.00 0.09907
8460.00 0.06956
8470.00 0.04814
8480.00 0.03312
8490.00 0.02220
8500.00 0.01492
8510.00 0.01022
8520.00 0.00717
8530.00 0.00507
8540.00 0.00360
8550.00 0.00259
8560.00 0.00188
8570.00 0.00137
8580.00 0.00101
8590.00 0.00078
8600.00 0.00058
8610.00 0.00046
8620.00 0.00036
8630.00 0.00028
8640.00 0.00021
8650.00 0.00017
8660.00 0.00012
8670.00 0.00011
8680.00 0.00008
8690.00 0.00006
8700.00 0.00005
8710.00 0.00004
8720.00 0.00002
8730.00 0.00003
8740.00 0.00002
8750.00 0.00002
8760.00 0.00001
8770.00 0.00000
8780.00 0.00000
8790.00 0.00000
8780.00 0.00001
8790.00 0.00001
8800.00 0.00000
8810.00 0.00000
8820.00 0.00000
......
ObservationSim/Instrument/data/throughputs/nuv_throughput.txt
View file @ 1c871e69
# NUV_css
# NUV_cssc
# lambda_Angst throughput
2000.00 0.00000
2010.00 0.00000
2020.00 0.00000
......@@ -49,79 +50,79 @@
2470.00 0.00000
2480.00 0.00000
2490.00 0.00000
2500.00 0.02686
2510.00 0.08110
2520.00 0.13603
2530.00 0.16427
2540.00 0.16530
2550.00 0.16634
2560.00 0.16730
2570.00 0.16827
2580.00 0.16924
2590.00 0.17021
2600.00 0.17118
2610.00 0.17154
2620.00 0.17190
2630.00 0.17225
2640.00 0.17261
2650.00 0.17297
2660.00 0.17347
2670.00 0.17396
2680.00 0.17446
2690.00 0.17496
2700.00 0.17545
2710.00 0.17685
2720.00 0.17826
2730.00 0.17966
2740.00 0.18107
2750.00 0.18247
2760.00 0.18444
2770.00 0.18641
2780.00 0.18838
2790.00 0.19036
2800.00 0.19234
2810.00 0.19411
2820.00 0.19589
2830.00 0.19767
2840.00 0.19945
2850.00 0.20123
2860.00 0.20239
2870.00 0.20387
2880.00 0.20558
2890.00 0.20729
2900.00 0.20902
2910.00 0.20996
2920.00 0.21091
2930.00 0.21185
2940.00 0.21280
2950.00 0.21375
2960.00 0.21448
2970.00 0.21522
2980.00 0.21595
2990.00 0.21669
3000.00 0.21742
3010.00 0.21808
3020.00 0.21874
3030.00 0.21940
3040.00 0.22006
3050.00 0.22071
3060.00 0.22137
3070.00 0.22203
3080.00 0.22268
3090.00 0.22334
3100.00 0.22400
3110.00 0.22473
3120.00 0.22546
3130.00 0.22619
3140.00 0.22692
3150.00 0.22765
3160.00 0.22823
3170.00 0.22880
3180.00 0.22938
3190.00 0.22995
3200.00 0.17289
3210.00 0.11543
3220.00 0.05780
2500.00 0.00000
2510.00 0.02890
2520.00 0.07842
2530.00 0.13705
2540.00 0.16934
2550.00 0.17568
2560.00 0.18201
2570.00 0.17908
2580.00 0.17612
2590.00 0.17743
2600.00 0.17874
2610.00 0.18320
2620.00 0.18767
2630.00 0.18694
2640.00 0.18622
2650.00 0.18415
2660.00 0.18222
2670.00 0.17916
2680.00 0.17609
2690.00 0.17934
2700.00 0.18261
2710.00 0.17972
2720.00 0.17677
2730.00 0.17248
2740.00 0.16810
2750.00 0.17060
2760.00 0.17365
2770.00 0.17828
2780.00 0.18296
2790.00 0.18927
2800.00 0.19566
2810.00 0.20374
2820.00 0.21194
2830.00 0.21147
2840.00 0.21098
2850.00 0.21570
2860.00 0.21978
2870.00 0.22200
2880.00 0.22424
2890.00 0.22634
2900.00 0.22844
2910.00 0.22980
2920.00 0.23116
2930.00 0.22575
2940.00 0.22034
2950.00 0.21453
2960.00 0.20850
2970.00 0.20439
2980.00 0.20027
2990.00 0.20086
3000.00 0.20144
3010.00 0.20298
3020.00 0.20452
3030.00 0.21077
3040.00 0.21701
3050.00 0.21982
3060.00 0.22262
3070.00 0.22042
3080.00 0.21822
3090.00 0.22159
3100.00 0.22495
3110.00 0.22649
3120.00 0.22802
3130.00 0.22460
3140.00 0.22117
3150.00 0.21898
3160.00 0.21664
3170.00 0.22178
3180.00 0.22692
3190.00 0.22901
3200.00 0.17332
3210.00 0.11541
3220.00 0.05763
3230.00 0.00000
3240.00 0.00000
3250.00 0.00000
......
ObservationSim/Instrument/data/throughputs/r_throughput.txt
View file @ 1c871e69
# r_css
# r_cssc
# lambda_Angst throughput
2000.00 0.00000
2010.00 0.00000
2020.00 0.00000
......@@ -311,12 +312,12 @@
5090.00 0.00000
5100.00 0.00000
5110.00 0.00000
5120.00 0.00000
5130.00 0.00000
5140.00 0.00000
5150.00 0.00000
5160.00 0.00000
5170.00 0.00000
5120.00 0.00001
5130.00 0.00001
5140.00 0.00001
5150.00 0.00001
5160.00 0.00001
5170.00 0.00001
5180.00 0.00000
5190.00 0.00000
5200.00 0.00000
......@@ -329,228 +330,228 @@
5270.00 0.00000
5280.00 0.00000
5290.00 0.00000
5300.00 0.00000
5310.00 0.00000
5320.00 0.00000
5330.00 0.00000
5340.00 0.00000
5350.00 0.00000
5360.00 0.00000
5370.00 0.00000
5380.00 0.00000
5390.00 0.00000
5400.00 0.00000
5410.00 0.00000
5420.00 0.00000
5430.00 0.00000
5440.00 0.00000
5450.00 0.00000
5460.00 0.00000
5470.00 0.11125
5480.00 0.22258
5490.00 0.33397
5500.00 0.44544
5510.00 0.55704
5520.00 0.66874
5530.00 0.66902
5540.00 0.66931
5550.00 0.66960
5560.00 0.66989
5570.00 0.67018
5580.00 0.67046
5590.00 0.67075
5600.00 0.67104
5610.00 0.67104
5620.00 0.67104
5630.00 0.67104
5640.00 0.67104
5650.00 0.67104
5660.00 0.67104
5670.00 0.67104
5680.00 0.67104
5690.00 0.67104
5700.00 0.67104
5710.00 0.67104
5720.00 0.67104
5730.00 0.67104
5740.00 0.67104
5750.00 0.67104
5760.00 0.67104
5770.00 0.67104
5780.00 0.67104
5790.00 0.67104
5800.00 0.67104
5810.00 0.67104
5820.00 0.67104
5830.00 0.67104
5840.00 0.67104
5850.00 0.67104
5860.00 0.67104
5870.00 0.67104
5880.00 0.67104
5890.00 0.67104
5900.00 0.67104
5910.00 0.67082
5920.00 0.67061
5930.00 0.67039
5940.00 0.67018
5950.00 0.66996
5960.00 0.66974
5970.00 0.66953
5980.00 0.66931
5990.00 0.66910
6000.00 0.66888
6010.00 0.66852
6020.00 0.66816
6030.00 0.66780
6040.00 0.66744
6050.00 0.66708
6060.00 0.66672
6070.00 0.66636
6080.00 0.66600
6090.00 0.66564
6100.00 0.66528
6110.00 0.66506
6120.00 0.66485
6130.00 0.66463
6140.00 0.66442
6150.00 0.66420
6160.00 0.66398
6170.00 0.66377
6180.00 0.66355
6190.00 0.66334
6200.00 0.66312
6210.00 0.66290
6220.00 0.66269
6230.00 0.66247
6240.00 0.66226
6250.00 0.66204
6260.00 0.66182
6270.00 0.66161
6280.00 0.66139
6290.00 0.66118
6300.00 0.66096
6310.00 0.66067
6320.00 0.66038
6330.00 0.66010
6340.00 0.65981
6350.00 0.65952
6360.00 0.65923
6370.00 0.65894
6380.00 0.65866
6390.00 0.65837
6400.00 0.65808
6410.00 0.65758
6420.00 0.65707
6430.00 0.65657
6440.00 0.65606
6450.00 0.65556
6460.00 0.65506
6470.00 0.65455
6480.00 0.65405
6490.00 0.65354
6500.00 0.65304
6510.00 0.65225
6520.00 0.65146
6530.00 0.65066
6540.00 0.64987
6550.00 0.64908
6560.00 0.64829
6570.00 0.64750
6580.00 0.64670
6590.00 0.64591
6600.00 0.64512
6610.00 0.64433
6620.00 0.64354
6630.00 0.64274
6640.00 0.64195
6650.00 0.64116
6660.00 0.64037
6670.00 0.63958
6680.00 0.63878
6690.00 0.63799
6700.00 0.63720
6710.00 0.63670
6720.00 0.63619
6730.00 0.63569
6740.00 0.63518
6750.00 0.63468
6760.00 0.63418
6770.00 0.63367
6780.00 0.63317
6790.00 0.63266
6800.00 0.63216
6810.00 0.63115
6820.00 0.63014
6830.00 0.62914
6840.00 0.62813
6850.00 0.62712
6860.00 0.62611
6870.00 0.62510
6880.00 0.57952
6890.00 0.48957
6900.00 0.39991
6910.00 0.31057
6920.00 0.22150
6930.00 0.13270
6940.00 0.04417
6950.00 0.00000
6960.00 0.00000
6970.00 0.00000
6980.00 0.00000
6990.00 0.00000
7000.00 0.00000
7010.00 0.00000
7020.00 0.00000
7030.00 0.00000
7040.00 0.00000
7050.00 0.00000
7060.00 0.00000
7070.00 0.00000
7080.00 0.00000
7090.00 0.00000
7100.00 0.00000
7110.00 0.00000
7120.00 0.00000
7130.00 0.00000
7140.00 0.00000
7150.00 0.00000
7160.00 0.00000
7170.00 0.00000
7180.00 0.00000
7190.00 0.00000
7200.00 0.00000
7210.00 0.00000
7220.00 0.00000
7230.00 0.00000
7240.00 0.00000
7250.00 0.00000
7260.00 0.00000
7270.00 0.00000
7280.00 0.00000
7290.00 0.00000
7300.00 0.00000
7310.00 0.00000
7320.00 0.00000
7330.00 0.00000
7340.00 0.00000
7350.00 0.00000
7360.00 0.00000
7370.00 0.00000
7380.00 0.00000
7390.00 0.00000
7400.00 0.00000
7410.00 0.00000
7420.00 0.00000
7430.00 0.00000
7440.00 0.00000
7450.00 0.00000
7460.00 0.00000
7470.00 0.00000
7480.00 0.00000
7490.00 0.00000
7500.00 0.00000
7510.00 0.00000
5300.00 0.00001
5310.00 0.00001
5320.00 0.00001
5330.00 0.00002
5340.00 0.00003
5350.00 0.00005
5360.00 0.00009
5370.00 0.00016
5380.00 0.00031
5390.00 0.00066
5400.00 0.00150
5410.00 0.00395
5420.00 0.01166
5430.00 0.03307
5440.00 0.07854
5450.00 0.14926
5460.00 0.23899
5470.00 0.33256
5480.00 0.41052
5490.00 0.46942
5500.00 0.51316
5510.00 0.54712
5520.00 0.57754
5530.00 0.60334
5540.00 0.62365
5550.00 0.63930
5560.00 0.64902
5570.00 0.65482
5580.00 0.65288
5590.00 0.64276
5600.00 0.62930
5610.00 0.61532
5620.00 0.60637
5630.00 0.60599
5640.00 0.61270
5650.00 0.62476
5660.00 0.63883
5670.00 0.65060
5680.00 0.65817
5690.00 0.66197
5700.00 0.66176
5710.00 0.65954
5720.00 0.65814
5730.00 0.66021
5740.00 0.66449
5750.00 0.66846
5760.00 0.67119
5770.00 0.67199
5780.00 0.66919
5790.00 0.66394
5800.00 0.65767
5810.00 0.65139
5820.00 0.64820
5830.00 0.65106
5840.00 0.65767
5850.00 0.66682
5860.00 0.67617
5870.00 0.68388
5880.00 0.68869
5890.00 0.68975
5900.00 0.68857
5910.00 0.68569
5920.00 0.68383
5930.00 0.68380
5940.00 0.68630
5950.00 0.69038
5960.00 0.69529
5970.00 0.70020
5980.00 0.70338
5990.00 0.70456
6000.00 0.70354
6010.00 0.70066
6020.00 0.69712
6030.00 0.69494
6040.00 0.69399
6050.00 0.69320
6060.00 0.69388
6070.00 0.69624
6080.00 0.69898
6090.00 0.70077
6100.00 0.70221
6110.00 0.70386
6120.00 0.70518
6130.00 0.70747
6140.00 0.70999
6150.00 0.71149
6160.00 0.71301
6170.00 0.71518
6180.00 0.71703
6190.00 0.71840
6200.00 0.71953
6210.00 0.72052
6220.00 0.72152
6230.00 0.72192
6240.00 0.72250
6250.00 0.72269
6260.00 0.72254
6270.00 0.72336
6280.00 0.72378
6290.00 0.72403
6300.00 0.72409
6310.00 0.72262
6320.00 0.72125
6330.00 0.72066
6340.00 0.72042
6350.00 0.72120
6360.00 0.72182
6370.00 0.72298
6380.00 0.72341
6390.00 0.71960
6400.00 0.71461
6410.00 0.71000
6420.00 0.70473
6430.00 0.69886
6440.00 0.69369
6450.00 0.68920
6460.00 0.68565
6470.00 0.68573
6480.00 0.68694
6490.00 0.68660
6500.00 0.68667
6510.00 0.68760
6520.00 0.68845
6530.00 0.68866
6540.00 0.68844
6550.00 0.68662
6560.00 0.68462
6570.00 0.68347
6580.00 0.68216
6590.00 0.68049
6600.00 0.67869
6610.00 0.67935
6620.00 0.67989
6630.00 0.67634
6640.00 0.67264
6650.00 0.67151
6660.00 0.67007
6670.00 0.66786
6680.00 0.66532
6690.00 0.66222
6700.00 0.65913
6710.00 0.65660
6720.00 0.65451
6730.00 0.65243
6740.00 0.65085
6750.00 0.65020
6760.00 0.65004
6770.00 0.65077
6780.00 0.65145
6790.00 0.65186
6800.00 0.65081
6810.00 0.64842
6820.00 0.64393
6830.00 0.63715
6840.00 0.62891
6850.00 0.61936
6860.00 0.61129
6870.00 0.60651
6880.00 0.60553
6890.00 0.60666
6900.00 0.60476
6910.00 0.59163
6920.00 0.55628
6930.00 0.49411
6940.00 0.40862
6950.00 0.30991
6960.00 0.21906
6970.00 0.14420
6980.00 0.09015
6990.00 0.05548
7000.00 0.03389
7010.00 0.02119
7020.00 0.01362
7030.00 0.00897
7040.00 0.00608
7050.00 0.00421
7060.00 0.00296
7070.00 0.00216
7080.00 0.00158
7090.00 0.00118
7100.00 0.00089
7110.00 0.00068
7120.00 0.00053
7130.00 0.00042
7140.00 0.00033
7150.00 0.00026
7160.00 0.00021
7170.00 0.00017
7180.00 0.00014
7190.00 0.00012
7200.00 0.00010
7210.00 0.00008
7220.00 0.00007
7230.00 0.00006
7240.00 0.00005
7250.00 0.00004
7260.00 0.00004
7270.00 0.00003
7280.00 0.00003
7290.00 0.00003
7300.00 0.00002
7310.00 0.00002
7320.00 0.00002
7330.00 0.00002
7340.00 0.00001
7350.00 0.00001
7360.00 0.00001
7370.00 0.00001
7380.00 0.00001
7390.00 0.00001
7400.00 0.00001
7410.00 0.00001
7420.00 0.00001
7430.00 0.00001
7440.00 0.00001
7450.00 0.00001
7460.00 0.00001
7470.00 0.00001
7480.00 0.00001
7490.00 0.00001
7500.00 0.00001
7510.00 0.00001
7520.00 0.00000
7530.00 0.00000
7540.00 0.00000
......@@ -599,65 +600,65 @@
7970.00 0.00000
7980.00 0.00000
7990.00 0.00000
8000.00 0.00000
8010.00 0.00000
8020.00 0.00000
8030.00 0.00000
8040.00 0.00000
8050.00 0.00000
8060.00 0.00000
8000.00 0.00001
8010.00 0.00001
8020.00 0.00001
8030.00 0.00001
8040.00 0.00001
8050.00 0.00001
8060.00 0.00001
8070.00 0.00000
8080.00 0.00000
8090.00 0.00000
8100.00 0.00000
8090.00 0.00001
8100.00 0.00001
8110.00 0.00000
8120.00 0.00000
8130.00 0.00000
8140.00 0.00000
8120.00 0.00001
8130.00 0.00001
8140.00 0.00001
8150.00 0.00000
8160.00 0.00000
8170.00 0.00000
8180.00 0.00000
8190.00 0.00000
8200.00 0.00000
8210.00 0.00000
8220.00 0.00000
8230.00 0.00000
8240.00 0.00000
8250.00 0.00000
8260.00 0.00000
8270.00 0.00000
8280.00 0.00000
8290.00 0.00000
8300.00 0.00000
8310.00 0.00000
8320.00 0.00000
8330.00 0.00000
8340.00 0.00000
8350.00 0.00000
8360.00 0.00000
8370.00 0.00000
8380.00 0.00000
8390.00 0.00000
8170.00 0.00001
8180.00 0.00001
8190.00 0.00001
8200.00 0.00001
8210.00 0.00001
8220.00 0.00001
8230.00 0.00001
8240.00 0.00001
8250.00 0.00001
8260.00 0.00001
8270.00 0.00002
8280.00 0.00001
8290.00 0.00001
8300.00 0.00001
8310.00 0.00001
8320.00 0.00001
8330.00 0.00001
8340.00 0.00001
8350.00 0.00001
8360.00 0.00001
8370.00 0.00001
8380.00 0.00001
8390.00 0.00001
8400.00 0.00000
8410.00 0.00000
8420.00 0.00000
8430.00 0.00000
8440.00 0.00000
8450.00 0.00000
8420.00 0.00001
8430.00 0.00001
8440.00 0.00001
8450.00 0.00001
8460.00 0.00000
8470.00 0.00000
8480.00 0.00000
8490.00 0.00000
8500.00 0.00000
8470.00 0.00001
8480.00 0.00001
8490.00 0.00001
8500.00 0.00001
8510.00 0.00000
8520.00 0.00000
8520.00 0.00001
8530.00 0.00000
8540.00 0.00000
8550.00 0.00000
8560.00 0.00000
8570.00 0.00000
8580.00 0.00000
8580.00 0.00001
8590.00 0.00000
8600.00 0.00000
8610.00 0.00000
......@@ -665,17 +666,17 @@
8630.00 0.00000
8640.00 0.00000
8650.00 0.00000
8660.00 0.00000
8670.00 0.00000
8660.00 0.00001
8670.00 0.00001
8680.00 0.00000
8690.00 0.00000
8700.00 0.00000
8700.00 0.00001
8710.00 0.00000
8720.00 0.00000
8730.00 0.00000
8730.00 0.00001
8740.00 0.00000
8750.00 0.00000
8760.00 0.00000
8760.00 0.00001
8770.00 0.00000
8780.00 0.00000
8790.00 0.00000
......
ObservationSim/Instrument/data/throughputs/u_throughput.txt
View file @ 1c871e69
# u_css
# u_cssc
# lambda_Angst throughput
2000.00 0.00000
2010.00 0.00000
2020.00 0.00000
......@@ -106,124 +107,124 @@
3040.00 0.00000
3050.00 0.00000
3060.00 0.00000
3070.00 0.00000
3080.00 0.00000
3090.00 0.00000
3100.00 0.00000
3110.00 0.00000
3120.00 0.00000
3130.00 0.00000
3140.00 0.00000
3150.00 0.00000
3160.00 0.00000
3170.00 0.00000
3180.00 0.06881
3190.00 0.13797
3200.00 0.20747
3210.00 0.27703
3220.00 0.27743
3230.00 0.27782
3240.00 0.27822
3250.00 0.27861
3260.00 0.27909
3270.00 0.27957
3280.00 0.28005
3290.00 0.28052
3300.00 0.28100
3310.00 0.28137
3320.00 0.28174
3330.00 0.28211
3340.00 0.28247
3350.00 0.28283
3360.00 0.28309
3370.00 0.28335
3380.00 0.28360
3390.00 0.28385
3400.00 0.28410
3410.00 0.28424
3420.00 0.28437
3430.00 0.28451
3440.00 0.28464
3450.00 0.28476
3460.00 0.28488
3470.00 0.28500
3480.00 0.28511
3490.00 0.28522
3500.00 0.28532
3510.00 0.28552
3520.00 0.28572
3530.00 0.28592
3540.00 0.28611
3550.00 0.28630
3560.00 0.28659
3570.00 0.28688
3580.00 0.28716
3590.00 0.28744
3600.00 0.28761
3610.00 0.28688
3620.00 0.28615
3630.00 0.28541
3640.00 0.28467
3650.00 0.28393
3660.00 0.28382
3670.00 0.28372
3680.00 0.28361
3690.00 0.28350
3700.00 0.28339
3710.00 0.28468
3720.00 0.28598
3730.00 0.28727
3740.00 0.28857
3750.00 0.28987
3760.00 0.29161
3770.00 0.29335
3780.00 0.29510
3790.00 0.29685
3800.00 0.29860
3810.00 0.29981
3820.00 0.30103
3830.00 0.30224
3840.00 0.30346
3850.00 0.30468
3860.00 0.30590
3870.00 0.30712
3880.00 0.30835
3890.00 0.30958
3900.00 0.31081
3910.00 0.31316
3920.00 0.31551
3930.00 0.31786
3940.00 0.32022
3950.00 0.32259
3960.00 0.32485
3970.00 0.32712
3980.00 0.32939
3990.00 0.33166
4000.00 0.33394
4010.00 0.33601
4020.00 0.33807
4030.00 0.34014
4040.00 0.30799
4050.00 0.24101
4060.00 0.17296
4070.00 0.10427
4080.00 0.03492
4090.00 0.00000
4100.00 0.00000
4110.00 0.00000
4120.00 0.00000
4130.00 0.00000
4140.00 0.00000
4150.00 0.00000
4160.00 0.00000
4170.00 0.00000
4180.00 0.00000
4190.00 0.00000
4200.00 0.00000
4210.00 0.00000
4220.00 0.00000
4230.00 0.00000
4240.00 0.00000
3070.00 0.00001
3080.00 0.00001
3090.00 0.00003
3100.00 0.00007
3110.00 0.00014
3120.00 0.00028
3130.00 0.00056
3140.00 0.00110
3150.00 0.00223
3160.00 0.00472
3170.00 0.01042
3180.00 0.02190
3190.00 0.04190
3200.00 0.08056
3210.00 0.12185
3220.00 0.16669
3230.00 0.20778
3240.00 0.23999
3250.00 0.26389
3260.00 0.27898
3270.00 0.29519
3280.00 0.30854
3290.00 0.32894
3300.00 0.34872
3310.00 0.35846
3320.00 0.36782
3330.00 0.36385
3340.00 0.36002
3350.00 0.35646
3360.00 0.35286
3370.00 0.35634
3380.00 0.36011
3390.00 0.36259
3400.00 0.36459
3410.00 0.36476
3420.00 0.36386
3430.00 0.35734
3440.00 0.35107
3450.00 0.34668
3460.00 0.34357
3470.00 0.34944
3480.00 0.35524
3490.00 0.35529
3500.00 0.35436
3510.00 0.35182
3520.00 0.34861
3530.00 0.34490
3540.00 0.34165
3550.00 0.34203
3560.00 0.34307
3570.00 0.34341
3580.00 0.34401
3590.00 0.34655
3600.00 0.34841
3610.00 0.35149
3620.00 0.35432
3630.00 0.35415
3640.00 0.35463
3650.00 0.35643
3660.00 0.35858
3670.00 0.36209
3680.00 0.36554
3690.00 0.36682
3700.00 0.36791
3710.00 0.36581
3720.00 0.36333
3730.00 0.36299
3740.00 0.36246
3750.00 0.36867
3760.00 0.37511
3770.00 0.38015
3780.00 0.38586
3790.00 0.38633
3800.00 0.38714
3810.00 0.38734
3820.00 0.38673
3830.00 0.38847
3840.00 0.39011
3850.00 0.39062
3860.00 0.39202
3870.00 0.39367
3880.00 0.39491
3890.00 0.39554
3900.00 0.39594
3910.00 0.39508
3920.00 0.39452
3930.00 0.39304
3940.00 0.38925
3950.00 0.38325
3960.00 0.36781
3970.00 0.33940
3980.00 0.29857
3990.00 0.24542
4000.00 0.18812
4010.00 0.13345
4020.00 0.08722
4030.00 0.05312
4040.00 0.03033
4050.00 0.01673
4060.00 0.00939
4070.00 0.00539
4080.00 0.00315
4090.00 0.00188
4100.00 0.00115
4110.00 0.00074
4120.00 0.00049
4130.00 0.00033
4140.00 0.00023
4150.00 0.00016
4160.00 0.00011
4170.00 0.00008
4180.00 0.00005
4190.00 0.00004
4200.00 0.00002
4210.00 0.00002
4220.00 0.00001
4230.00 0.00001
4240.00 0.00001
4250.00 0.00000
4260.00 0.00000
4270.00 0.00000
......@@ -543,23 +544,23 @@
7410.00 0.00000
7420.00 0.00000
7430.00 0.00000
7440.00 0.00000
7450.00 0.00000
7460.00 0.00000
7470.00 0.00000
7480.00 0.00000
7490.00 0.00000
7500.00 0.00000
7510.00 0.00000
7520.00 0.00000
7530.00 0.00000
7540.00 0.00000
7550.00 0.00000
7560.00 0.00000
7570.00 0.00000
7580.00 0.00000
7590.00 0.00000
7600.00 0.00000
7440.00 0.00001
7450.00 0.00001
7460.00 0.00001
7470.00 0.00001
7480.00 0.00001
7490.00 0.00001
7500.00 0.00001
7510.00 0.00001
7520.00 0.00001
7530.00 0.00001
7540.00 0.00002
7550.00 0.00002
7560.00 0.00001
7570.00 0.00001
7580.00 0.00001
7590.00 0.00001
7600.00 0.00001
7610.00 0.00000
7620.00 0.00000
7630.00 0.00000
......@@ -575,19 +576,19 @@
7730.00 0.00000
7740.00 0.00000
7750.00 0.00000
7760.00 0.00000
7770.00 0.00000
7780.00 0.00000
7790.00 0.00000
7800.00 0.00000
7810.00 0.00000
7820.00 0.00000
7830.00 0.00000
7840.00 0.00000
7850.00 0.00000
7860.00 0.00000
7870.00 0.00000
7880.00 0.00000
7760.00 0.00001
7770.00 0.00001
7780.00 0.00002
7790.00 0.00004
7800.00 0.00007
7810.00 0.00010
7820.00 0.00010
7830.00 0.00009
7840.00 0.00006
7850.00 0.00003
7860.00 0.00001
7870.00 0.00001
7880.00 0.00001
7890.00 0.00000
7900.00 0.00000
7910.00 0.00000
......@@ -599,140 +600,140 @@
7970.00 0.00000
7980.00 0.00000
7990.00 0.00000
8000.00 0.00000
8010.00 0.00000
8020.00 0.00000
8030.00 0.00000
8040.00 0.00000
8050.00 0.00000
8060.00 0.00000
8070.00 0.00000
8080.00 0.00000
8090.00 0.00000
8100.00 0.00000
8110.00 0.00000
8120.00 0.00000
8130.00 0.00000
8140.00 0.00000
8150.00 0.00000
8160.00 0.00000
8170.00 0.00000
8180.00 0.00000
8190.00 0.00000
8200.00 0.00000
8210.00 0.00000
8220.00 0.00000
8230.00 0.00000
8240.00 0.00000
8250.00 0.00000
8260.00 0.00000
8270.00 0.00000
8280.00 0.00000
8290.00 0.00000
8300.00 0.00000
8310.00 0.00000
8320.00 0.00000
8330.00 0.00000
8340.00 0.00000
8350.00 0.00000
8360.00 0.00000
8370.00 0.00000
8380.00 0.00000
8390.00 0.00000
8400.00 0.00000
8410.00 0.00000
8420.00 0.00000
8430.00 0.00000
8440.00 0.00000
8450.00 0.00000
8460.00 0.00000
8470.00 0.00000
8480.00 0.00000
8490.00 0.00000
8500.00 0.00000
8510.00 0.00000
8520.00 0.00000
8530.00 0.00000
8540.00 0.00000
8550.00 0.00000
8560.00 0.00000
8570.00 0.00000
8580.00 0.00000
8590.00 0.00000
8600.00 0.00000
8610.00 0.00000
8620.00 0.00000
8630.00 0.00000
8640.00 0.00000
8650.00 0.00000
8660.00 0.00000
8670.00 0.00000
8680.00 0.00000
8690.00 0.00000
8700.00 0.00000
8710.00 0.00000
8720.00 0.00000
8730.00 0.00000
8740.00 0.00000
8750.00 0.00000
8760.00 0.00000
8770.00 0.00000
8780.00 0.00000
8790.00 0.00000
8800.00 0.00000
8810.00 0.00000
8820.00 0.00000
8830.00 0.00000
8840.00 0.00000
8850.00 0.00000
8860.00 0.00000
8870.00 0.00000
8880.00 0.00000
8890.00 0.00000
8900.00 0.00000
8910.00 0.00000
8920.00 0.00000
8930.00 0.00000
8940.00 0.00000
8950.00 0.00000
8960.00 0.00000
8970.00 0.00000
8980.00 0.00000
8990.00 0.00000
9000.00 0.00000
9010.00 0.00000
9020.00 0.00000
9030.00 0.00000
9040.00 0.00000
9050.00 0.00000
9060.00 0.00000
9070.00 0.00000
9080.00 0.00000
9090.00 0.00000
9100.00 0.00000
9110.00 0.00000
9120.00 0.00000
9130.00 0.00000
9140.00 0.00000
9150.00 0.00000
9160.00 0.00000
9170.00 0.00000
9180.00 0.00000
9190.00 0.00000
9200.00 0.00000
9210.00 0.00000
9220.00 0.00000
9230.00 0.00000
9240.00 0.00000
9250.00 0.00000
9260.00 0.00000
9270.00 0.00000
9280.00 0.00000
9290.00 0.00000
9300.00 0.00000
9310.00 0.00000
9320.00 0.00000
9330.00 0.00000
8000.00 0.00003
8010.00 0.00003
8020.00 0.00003
8030.00 0.00003
8040.00 0.00002
8050.00 0.00003
8060.00 0.00003
8070.00 0.00003
8080.00 0.00003
8090.00 0.00002
8100.00 0.00003
8110.00 0.00002
8120.00 0.00002
8130.00 0.00002
8140.00 0.00003
8150.00 0.00003
8160.00 0.00002
8170.00 0.00002
8180.00 0.00002
8190.00 0.00002
8200.00 0.00002
8210.00 0.00002
8220.00 0.00002
8230.00 0.00002
8240.00 0.00002
8250.00 0.00002
8260.00 0.00002
8270.00 0.00002
8280.00 0.00002
8290.00 0.00002
8300.00 0.00002
8310.00 0.00002
8320.00 0.00002
8330.00 0.00002
8340.00 0.00002
8350.00 0.00002
8360.00 0.00002
8370.00 0.00002
8380.00 0.00002
8390.00 0.00002
8400.00 0.00002
8410.00 0.00002
8420.00 0.00002
8430.00 0.00002
8440.00 0.00002
8450.00 0.00002
8460.00 0.00002
8470.00 0.00002
8480.00 0.00002
8490.00 0.00003
8500.00 0.00003
8510.00 0.00003
8520.00 0.00003
8530.00 0.00003
8540.00 0.00003
8550.00 0.00003
8560.00 0.00003
8570.00 0.00003
8580.00 0.00003
8590.00 0.00003
8600.00 0.00003
8610.00 0.00003
8620.00 0.00003
8630.00 0.00004
8640.00 0.00003
8650.00 0.00003
8660.00 0.00003
8670.00 0.00003
8680.00 0.00003
8690.00 0.00003
8700.00 0.00003
8710.00 0.00003
8720.00 0.00003
8730.00 0.00002
8740.00 0.00002
8750.00 0.00003
8760.00 0.00002
8770.00 0.00002
8780.00 0.00002
8790.00 0.00002
8800.00 0.00002
8810.00 0.00002
8820.00 0.00002
8830.00 0.00002
8840.00 0.00002
8850.00 0.00002
8860.00 0.00002
8870.00 0.00002
8880.00 0.00002
8890.00 0.00002
8900.00 0.00002
8910.00 0.00002
8920.00 0.00002
8930.00 0.00002
8940.00 0.00002
8950.00 0.00002
8960.00 0.00002
8970.00 0.00003
8980.00 0.00003
8990.00 0.00003
9000.00 0.00003
9010.00 0.00003
9020.00 0.00003
9030.00 0.00003
9040.00 0.00003
9050.00 0.00003
9060.00 0.00003
9070.00 0.00003
9080.00 0.00003
9090.00 0.00003
9100.00 0.00003
9110.00 0.00003
9120.00 0.00002
9130.00 0.00002
9140.00 0.00002
9150.00 0.00002
9160.00 0.00002
9170.00 0.00002
9180.00 0.00002
9190.00 0.00002
9200.00 0.00001
9210.00 0.00001
9220.00 0.00001
9230.00 0.00001
9240.00 0.00001
9250.00 0.00001
9260.00 0.00001
9270.00 0.00001
9280.00 0.00001
9290.00 0.00001
9300.00 0.00001
9310.00 0.00001
9320.00 0.00001
9330.00 0.00001
9340.00 0.00000
9350.00 0.00000
9360.00 0.00000
......
ObservationSim/Instrument/data/throughputs/y_throughput.txt
View file @ 1c871e69
# y_css
# y_cssc
# lambda_Angst throughput
2000.00 0.00000
2010.00 0.00000
2020.00 0.00000
......@@ -271,19 +272,19 @@
4690.00 0.00000
4700.00 0.00000
4710.00 0.00000
4720.00 0.00000
4730.00 0.00000
4740.00 0.00000
4750.00 0.00000
4760.00 0.00000
4770.00 0.00000
4780.00 0.00000
4790.00 0.00000
4800.00 0.00000
4810.00 0.00000
4820.00 0.00000
4830.00 0.00000
4840.00 0.00000
4720.00 0.00001
4730.00 0.00001
4740.00 0.00001
4750.00 0.00001
4760.00 0.00001
4770.00 0.00001
4780.00 0.00002
4790.00 0.00002
4800.00 0.00002
4810.00 0.00002
4820.00 0.00002
4830.00 0.00001
4840.00 0.00001
4850.00 0.00000
4860.00 0.00000
4870.00 0.00000
......@@ -312,12 +313,12 @@
5100.00 0.00000
5110.00 0.00000
5120.00 0.00000
5130.00 0.00000
5140.00 0.00000
5150.00 0.00000
5160.00 0.00000
5170.00 0.00000
5180.00 0.00000
5130.00 0.00001
5140.00 0.00001
5150.00 0.00001
5160.00 0.00001
5170.00 0.00001
5180.00 0.00001
5190.00 0.00000
5200.00 0.00000
5210.00 0.00000
......@@ -345,19 +346,19 @@
5430.00 0.00000
5440.00 0.00000
5450.00 0.00000
5460.00 0.00000
5470.00 0.00000
5480.00 0.00000
5490.00 0.00000
5500.00 0.00000
5510.00 0.00000
5520.00 0.00000
5530.00 0.00000
5540.00 0.00000
5550.00 0.00000
5560.00 0.00000
5570.00 0.00000
5580.00 0.00000
5460.00 0.00001
5470.00 0.00001
5480.00 0.00001
5490.00 0.00002
5500.00 0.00003
5510.00 0.00003
5520.00 0.00003
5530.00 0.00003
5540.00 0.00003
5550.00 0.00002
5560.00 0.00001
5570.00 0.00001
5580.00 0.00001
5590.00 0.00000
5600.00 0.00000
5610.00 0.00000
......@@ -368,22 +369,22 @@
5660.00 0.00000
5670.00 0.00000
5680.00 0.00000
5690.00 0.00000
5700.00 0.00000
5710.00 0.00000
5720.00 0.00000
5730.00 0.00000
5740.00 0.00000
5750.00 0.00000
5760.00 0.00000
5770.00 0.00000
5780.00 0.00000
5790.00 0.00000
5800.00 0.00000
5810.00 0.00000
5820.00 0.00000
5830.00 0.00000
5840.00 0.00000
5690.00 0.00001
5700.00 0.00001
5710.00 0.00001
5720.00 0.00001
5730.00 0.00001
5740.00 0.00001
5750.00 0.00001
5760.00 0.00001
5770.00 0.00001
5780.00 0.00001
5790.00 0.00002
5800.00 0.00002
5810.00 0.00002
5820.00 0.00002
5830.00 0.00001
5840.00 0.00001
5850.00 0.00000
5860.00 0.00000
5870.00 0.00000
......@@ -397,8 +398,8 @@
5950.00 0.00000
5960.00 0.00000
5970.00 0.00000
5980.00 0.00000
5990.00 0.00000
5980.00 0.00001
5990.00 0.00001
6000.00 0.00000
6010.00 0.00000
6020.00 0.00000
......@@ -436,13 +437,13 @@
6340.00 0.00000
6350.00 0.00000
6360.00 0.00000
6370.00 0.00000
6380.00 0.00000
6390.00 0.00000
6400.00 0.00000
6410.00 0.00000
6420.00 0.00000
6430.00 0.00000
6370.00 0.00001
6380.00 0.00001
6390.00 0.00001
6400.00 0.00001
6410.00 0.00001
6420.00 0.00001
6430.00 0.00001
6440.00 0.00000
6450.00 0.00000
6460.00 0.00000
......@@ -452,16 +453,16 @@
6500.00 0.00000
6510.00 0.00000
6520.00 0.00000
6530.00 0.00000
6540.00 0.00000
6550.00 0.00000
6560.00 0.00000
6570.00 0.00000
6580.00 0.00000
6590.00 0.00000
6600.00 0.00000
6610.00 0.00000
6620.00 0.00000
6530.00 0.00001
6540.00 0.00001
6550.00 0.00001
6560.00 0.00001
6570.00 0.00001
6580.00 0.00001
6590.00 0.00001
6600.00 0.00001
6610.00 0.00001
6620.00 0.00001
6630.00 0.00000
6640.00 0.00000
6650.00 0.00000
......@@ -582,11 +583,11 @@
7800.00 0.00000
7810.00 0.00000
7820.00 0.00000
7830.00 0.00000
7840.00 0.00000
7850.00 0.00000
7860.00 0.00000
7870.00 0.00000
7830.00 0.00001
7840.00 0.00001
7850.00 0.00001
7860.00 0.00001
7870.00 0.00001
7880.00 0.00000
7890.00 0.00000
7900.00 0.00000
......@@ -599,304 +600,304 @@
7970.00 0.00000
7980.00 0.00000
7990.00 0.00000
8000.00 0.00000
8010.00 0.00000
8020.00 0.00000
8030.00 0.00000
8040.00 0.00000
8050.00 0.00000
8060.00 0.00000
8070.00 0.00000
8080.00 0.00000
8090.00 0.00000
8100.00 0.00000
8110.00 0.00000
8000.00 0.00002
8010.00 0.00001
8020.00 0.00002
8030.00 0.00002
8040.00 0.00001
8050.00 0.00002
8060.00 0.00001
8070.00 0.00002
8080.00 0.00001
8090.00 0.00001
8100.00 0.00001
8110.00 0.00001
8120.00 0.00000
8130.00 0.00000
8140.00 0.00000
8130.00 0.00002
8140.00 0.00001
8150.00 0.00000
8160.00 0.00000
8170.00 0.00000
8180.00 0.00000
8190.00 0.00000
8200.00 0.00000
8210.00 0.00000
8220.00 0.00000
8230.00 0.00000
8240.00 0.00000
8250.00 0.00000
8260.00 0.00000
8270.00 0.00000
8280.00 0.00000
8290.00 0.00000
8300.00 0.00000
8310.00 0.00000
8320.00 0.00000
8330.00 0.00000
8340.00 0.00000
8350.00 0.00000
8360.00 0.00000
8370.00 0.00000
8380.00 0.00000
8390.00 0.00000
8400.00 0.00000
8410.00 0.00000
8420.00 0.00000
8430.00 0.00000
8440.00 0.00000
8450.00 0.00000
8460.00 0.00000
8470.00 0.00000
8480.00 0.00000
8160.00 0.00001
8170.00 0.00001
8180.00 0.00002
8190.00 0.00003
8200.00 0.00002
8210.00 0.00002
8220.00 0.00002
8230.00 0.00002
8240.00 0.00001
8250.00 0.00001
8260.00 0.00002
8270.00 0.00001
8280.00 0.00001
8290.00 0.00002
8300.00 0.00001
8310.00 0.00002
8320.00 0.00002
8330.00 0.00002
8340.00 0.00001
8350.00 0.00002
8360.00 0.00001
8370.00 0.00002
8380.00 0.00002
8390.00 0.00001
8400.00 0.00002
8410.00 0.00002
8420.00 0.00001
8430.00 0.00001
8440.00 0.00001
8450.00 0.00001
8460.00 0.00001
8470.00 0.00001
8480.00 0.00001
8490.00 0.00000
8500.00 0.00000
8510.00 0.00000
8520.00 0.00000
8530.00 0.00000
8540.00 0.00000
8550.00 0.00000
8560.00 0.00000
8570.00 0.00000
8580.00 0.00000
8590.00 0.00000
8600.00 0.00000
8610.00 0.00000
8620.00 0.00000
8630.00 0.00000
8640.00 0.00000
8650.00 0.00000
8660.00 0.00000
8670.00 0.00000
8680.00 0.00000
8690.00 0.00000
8700.00 0.00000
8710.00 0.00000
8720.00 0.00000
8730.00 0.00000
8740.00 0.00000
8750.00 0.00000
8760.00 0.00000
8770.00 0.00000
8780.00 0.00000
8790.00 0.00000
8800.00 0.00000
8810.00 0.00000
8820.00 0.00000
8830.00 0.00000
8840.00 0.00000
8850.00 0.00000
8860.00 0.00000
8870.00 0.00000
8880.00 0.00000
8890.00 0.00000
8900.00 0.00000
8910.00 0.00000
8920.00 0.00000
8930.00 0.00000
8940.00 0.00000
8950.00 0.00000
8960.00 0.00000
8970.00 0.00000
8980.00 0.00000
8990.00 0.00000
9000.00 0.00000
9010.00 0.00000
9020.00 0.00000
9030.00 0.00000
9040.00 0.00000
9050.00 0.00000
9060.00 0.00000
9070.00 0.00000
9080.00 0.00000
9090.00 0.00000
9100.00 0.00000
9110.00 0.00000
9120.00 0.00000
9130.00 0.00000
9140.00 0.00000
9150.00 0.00000
9160.00 0.00000
9170.00 0.00000
9180.00 0.00000
9190.00 0.00000
9200.00 0.03879
9210.00 0.07684
9220.00 0.11415
9230.00 0.15073
9240.00 0.18658
9250.00 0.22168
9260.00 0.25605
9270.00 0.28969
9280.00 0.32259
9290.00 0.35475
9300.00 0.35107
9310.00 0.34724
9320.00 0.34342
9330.00 0.33959
9340.00 0.33576
9350.00 0.33194
9360.00 0.32811
9370.00 0.32428
9380.00 0.32045
9390.00 0.31663
9400.00 0.31280
9410.00 0.30905
9420.00 0.30529
9430.00 0.30154
9440.00 0.29779
9450.00 0.29403
9460.00 0.29028
9470.00 0.28652
9480.00 0.28277
9490.00 0.27902
9500.00 0.27526
9510.00 0.27136
9520.00 0.26746
9530.00 0.26356
9540.00 0.25966
9550.00 0.25576
9560.00 0.25186
9570.00 0.24796
9580.00 0.24406
9590.00 0.24016
9600.00 0.23626
9610.00 0.23294
9620.00 0.22963
9630.00 0.22632
9640.00 0.22301
9650.00 0.21970
9660.00 0.21638
9670.00 0.21307
9680.00 0.20976
9690.00 0.20645
9700.00 0.20314
9710.00 0.19990
9720.00 0.19666
9730.00 0.19342
9740.00 0.19018
9750.00 0.18694
9760.00 0.18371
9770.00 0.18047
9780.00 0.17723
9790.00 0.17399
9800.00 0.17075
9810.00 0.16781
9820.00 0.16486
9830.00 0.16192
9840.00 0.15898
9850.00 0.15603
9860.00 0.15309
9870.00 0.15014
9880.00 0.14720
9890.00 0.14426
9900.00 0.14131
9910.00 0.13829
9920.00 0.13528
9930.00 0.13226
9940.00 0.12924
9950.00 0.12622
9960.00 0.12321
9970.00 0.12019
9980.00 0.11717
9990.00 0.11415
10000.00 0.11114
10010.00 0.10856
10020.00 0.10598
10030.00 0.10341
10040.00 0.10083
10050.00 0.09826
10060.00 0.09568
10070.00 0.09310
10080.00 0.09053
10090.00 0.08795
10100.00 0.08538
10110.00 0.08280
10120.00 0.08022
10130.00 0.07765
10140.00 0.07507
10150.00 0.07250
10160.00 0.06992
10170.00 0.06734
10180.00 0.06477
10190.00 0.06219
10200.00 0.05962
10210.00 0.05770
10220.00 0.05579
10230.00 0.05388
10240.00 0.05196
10250.00 0.05005
10260.00 0.04813
10270.00 0.04622
10280.00 0.04431
10290.00 0.04239
10300.00 0.04048
10310.00 0.03908
10320.00 0.03768
10330.00 0.03628
10340.00 0.03489
10350.00 0.03349
10360.00 0.03209
10370.00 0.03069
10380.00 0.02929
10390.00 0.02789
10400.00 0.02650
10410.00 0.02547
10420.00 0.02444
10430.00 0.02340
10440.00 0.02237
10450.00 0.02134
10460.00 0.01939
10470.00 0.01665
10480.00 0.01410
10490.00 0.01174
10500.00 0.00957
10510.00 0.00793
10520.00 0.00636
10530.00 0.00484
10540.00 0.00339
10550.00 0.00199
10560.00 0.00065
10570.00 0.00000
10580.00 0.00000
10590.00 0.00000
10600.00 0.00000
10610.00 0.00000
10620.00 0.00000
10630.00 0.00000
10640.00 0.00000
10650.00 0.00000
10660.00 0.00000
10670.00 0.00000
10680.00 0.00000
10690.00 0.00000
10700.00 0.00000
10710.00 0.00000
10720.00 0.00000
10730.00 0.00000
10740.00 0.00000
10750.00 0.00000
10760.00 0.00000
10770.00 0.00000
10780.00 0.00000
10790.00 0.00000
10800.00 0.00000
10810.00 0.00000
10820.00 0.00000
10830.00 0.00000
10840.00 0.00000
10850.00 0.00000
10860.00 0.00000
10870.00 0.00000
10880.00 0.00000
10890.00 0.00000
10900.00 0.00000
10910.00 0.00000
10920.00 0.00000
10930.00 0.00000
10940.00 0.00000
10950.00 0.00000
10960.00 0.00000
10970.00 0.00000
10980.00 0.00000
10990.00 0.00000
8500.00 0.00001
8510.00 0.00001
8520.00 0.00001
8530.00 0.00001
8540.00 0.00001
8550.00 0.00001
8560.00 0.00001
8570.00 0.00001
8580.00 0.00001
8590.00 0.00001
8600.00 0.00001
8610.00 0.00001
8620.00 0.00001
8630.00 0.00001
8640.00 0.00001
8650.00 0.00001
8660.00 0.00001
8670.00 0.00001
8680.00 0.00001
8690.00 0.00001
8700.00 0.00001
8710.00 0.00001
8720.00 0.00001
8730.00 0.00001
8740.00 0.00001
8750.00 0.00001
8760.00 0.00001
8770.00 0.00001
8780.00 0.00001
8790.00 0.00001
8800.00 0.00001
8810.00 0.00001
8820.00 0.00001
8830.00 0.00001
8840.00 0.00001
8850.00 0.00001
8860.00 0.00002
8870.00 0.00002
8880.00 0.00002
8890.00 0.00002
8900.00 0.00002
8910.00 0.00003
8920.00 0.00003
8930.00 0.00004
8940.00 0.00005
8950.00 0.00006
8960.00 0.00007
8970.00 0.00008
8980.00 0.00010
8990.00 0.00012
9000.00 0.00015
9010.00 0.00020
9020.00 0.00029
9030.00 0.00042
9040.00 0.00067
9050.00 0.00113
9060.00 0.00206
9070.00 0.00379
9080.00 0.00654
9090.00 0.01016
9100.00 0.01473
9110.00 0.02009
9120.00 0.02491
9130.00 0.02787
9140.00 0.03080
9150.00 0.03360
9160.00 0.03736
9170.00 0.04152
9180.00 0.04629
9190.00 0.05196
9200.00 0.05965
9210.00 0.06897
9220.00 0.08142
9230.00 0.09667
9240.00 0.11727
9250.00 0.14703
9260.00 0.18512
9270.00 0.22564
9280.00 0.25914
9290.00 0.27504
9300.00 0.27413
9310.00 0.26672
9320.00 0.25628
9330.00 0.25043
9340.00 0.25056
9350.00 0.25780
9360.00 0.26953
9370.00 0.28027
9380.00 0.29300
9390.00 0.30125
9400.00 0.30476
9410.00 0.30774
9420.00 0.30754
9430.00 0.30457
9440.00 0.30033
9450.00 0.29852
9460.00 0.29537
9470.00 0.29414
9480.00 0.29372
9490.00 0.29135
9500.00 0.29245
9510.00 0.29120
9520.00 0.29163
9530.00 0.28776
9540.00 0.28561
9550.00 0.28216
9560.00 0.27887
9570.00 0.27618
9580.00 0.27160
9590.00 0.26462
9600.00 0.25744
9610.00 0.25295
9620.00 0.24872
9630.00 0.24309
9640.00 0.24029
9650.00 0.23722
9660.00 0.23592
9670.00 0.23303
9680.00 0.23185
9690.00 0.22828
9700.00 0.22377
9710.00 0.22119
9720.00 0.21880
9730.00 0.21568
9740.00 0.21221
9750.00 0.20819
9760.00 0.20421
9770.00 0.19998
9780.00 0.19609
9790.00 0.19067
9800.00 0.18498
9810.00 0.18081
9820.00 0.17709
9830.00 0.17290
9840.00 0.16863
9850.00 0.16594
9860.00 0.16317
9870.00 0.15992
9880.00 0.15856
9890.00 0.15453
9900.00 0.15212
9910.00 0.14915
9920.00 0.14682
9930.00 0.14462
9940.00 0.14245
9950.00 0.14032
9960.00 0.13813
9970.00 0.13557
9980.00 0.13274
9990.00 0.12956
10000.00 0.12631
10010.00 0.12358
10020.00 0.12131
10030.00 0.11828
10040.00 0.11527
10050.00 0.11281
10060.00 0.10998
10070.00 0.10693
10080.00 0.10413
10090.00 0.10062
10100.00 0.09759
10110.00 0.09418
10120.00 0.09121
10130.00 0.08794
10140.00 0.08498
10150.00 0.08236
10160.00 0.07916
10170.00 0.07608
10180.00 0.07280
10190.00 0.06992
10200.00 0.06690
10210.00 0.06474
10220.00 0.06270
10230.00 0.06034
10240.00 0.05816
10250.00 0.05627
10260.00 0.05452
10270.00 0.05255
10280.00 0.05035
10290.00 0.04810
10300.00 0.04589
10310.00 0.04451
10320.00 0.04310
10330.00 0.04172
10340.00 0.04014
10350.00 0.03859
10360.00 0.03726
10370.00 0.03553
10380.00 0.03402
10390.00 0.03240
10400.00 0.03080
10410.00 0.02982
10420.00 0.02864
10430.00 0.02743
10440.00 0.02619
10450.00 0.02501
10460.00 0.02386
10470.00 0.02278
10480.00 0.02160
10490.00 0.02026
10500.00 0.01900
10510.00 0.01866
10520.00 0.01823
10530.00 0.01788
10540.00 0.01745
10550.00 0.01709
10560.00 0.01676
10570.00 0.01634
10580.00 0.01602
10590.00 0.01561
10600.00 0.01526
10610.00 0.01482
10620.00 0.01446
10630.00 0.01407
10640.00 0.01371
10650.00 0.01330
10660.00 0.01291
10670.00 0.01258
10680.00 0.01224
10690.00 0.01185
10700.00 0.01138
10710.00 0.01100
10720.00 0.01064
10730.00 0.01024
10740.00 0.00984
10750.00 0.00948
10760.00 0.00916
10770.00 0.00871
10780.00 0.00837
10790.00 0.00797
10800.00 0.00749
10810.00 0.00714
10820.00 0.00671
10830.00 0.00631
10840.00 0.00590
10850.00 0.00547
10860.00 0.00504
10870.00 0.00463
10880.00 0.00418
10890.00 0.00374
10900.00 0.00327
10910.00 0.00283
10920.00 0.00241
10930.00 0.00199
10940.00 0.00159
10950.00 0.00123
10960.00 0.00090
10970.00 0.00061
10980.00 0.00037
10990.00 0.00017
11000.00 0.00000
ObservationSim/Instrument/data/throughputs/z_throughput.txt
View file @ 1c871e69
# z_css
# z_cssc
# lambda_Angst throughput
2000.00 0.00000
2010.00 0.00000
2020.00 0.00000
......@@ -273,19 +274,19 @@
4710.00 0.00000
4720.00 0.00000
4730.00 0.00000
4740.00 0.00000
4750.00 0.00000
4760.00 0.00000
4770.00 0.00000
4780.00 0.00000
4790.00 0.00000
4800.00 0.00000
4810.00 0.00000
4820.00 0.00000
4830.00 0.00000
4840.00 0.00000
4850.00 0.00000
4860.00 0.00000
4740.00 0.00001
4750.00 0.00001
4760.00 0.00001
4770.00 0.00001
4780.00 0.00002
4790.00 0.00003
4800.00 0.00004
4810.00 0.00004
4820.00 0.00005
4830.00 0.00004
4840.00 0.00003
4850.00 0.00002
4860.00 0.00001
4870.00 0.00000
4880.00 0.00000
4890.00 0.00000
......@@ -349,16 +350,16 @@
5470.00 0.00000
5480.00 0.00000
5490.00 0.00000
5500.00 0.00000
5510.00 0.00000
5520.00 0.00000
5530.00 0.00000
5540.00 0.00000
5550.00 0.00000
5560.00 0.00000
5570.00 0.00000
5580.00 0.00000
5590.00 0.00000
5500.00 0.00001
5510.00 0.00001
5520.00 0.00002
5530.00 0.00002
5540.00 0.00002
5550.00 0.00002
5560.00 0.00002
5570.00 0.00001
5580.00 0.00001
5590.00 0.00001
5600.00 0.00000
5610.00 0.00000
5620.00 0.00000
......@@ -372,20 +373,20 @@
5700.00 0.00000
5710.00 0.00000
5720.00 0.00000
5730.00 0.00000
5740.00 0.00000
5750.00 0.00000
5760.00 0.00000
5770.00 0.00000
5780.00 0.00000
5790.00 0.00000
5800.00 0.00000
5810.00 0.00000
5820.00 0.00000
5830.00 0.00000
5840.00 0.00000
5850.00 0.00000
5860.00 0.00000
5730.00 0.00001
5740.00 0.00001
5750.00 0.00001
5760.00 0.00001
5770.00 0.00002
5780.00 0.00002
5790.00 0.00003
5800.00 0.00004
5810.00 0.00004
5820.00 0.00004
5830.00 0.00003
5840.00 0.00002
5850.00 0.00001
5860.00 0.00001
5870.00 0.00000
5880.00 0.00000
5890.00 0.00000
......@@ -599,304 +600,304 @@
7970.00 0.00000
7980.00 0.00000
7990.00 0.00000
8000.00 0.00000
8010.00 0.00000
8020.00 0.00000
8030.00 0.00000
8040.00 0.00000
8050.00 0.00000
8060.00 0.00000
8070.00 0.00000
8080.00 0.00000
8090.00 0.00000
8100.00 0.00000
8110.00 0.00000
8120.00 0.00000
8130.00 0.00000
8140.00 0.00000
8150.00 0.00000
8160.00 0.00000
8170.00 0.00000
8180.00 0.00000
8190.00 0.00000
8200.00 0.00000
8210.00 0.00000
8220.00 0.00000
8230.00 0.00000
8240.00 0.00000
8250.00 0.00000
8260.00 0.00000
8270.00 0.00000
8280.00 0.00000
8290.00 0.00000
8300.00 0.03467
8310.00 0.10375
8320.00 0.17247
8330.00 0.24083
8340.00 0.30883
8350.00 0.37646
8360.00 0.44374
8370.00 0.51066
8380.00 0.57722
8390.00 0.60956
8400.00 0.60794
8410.00 0.60617
8420.00 0.60440
8430.00 0.60264
8440.00 0.60087
8450.00 0.59910
8460.00 0.59734
8470.00 0.59557
8480.00 0.59380
8490.00 0.59204
8500.00 0.59027
8510.00 0.58814
8520.00 0.58600
8530.00 0.58387
8540.00 0.58173
8550.00 0.57960
8560.00 0.57747
8570.00 0.57533
8580.00 0.57320
8590.00 0.57106
8600.00 0.56893
8610.00 0.56643
8620.00 0.56392
8630.00 0.56142
8640.00 0.55892
8650.00 0.55642
8660.00 0.55391
8670.00 0.55141
8680.00 0.54891
8690.00 0.54641
8700.00 0.54390
8710.00 0.54133
8720.00 0.53875
8730.00 0.53618
8740.00 0.53360
8750.00 0.53102
8760.00 0.52845
8770.00 0.52587
8780.00 0.52330
8790.00 0.52072
8800.00 0.51814
8810.00 0.51535
8820.00 0.51255
8830.00 0.50975
8840.00 0.50696
8850.00 0.50416
8860.00 0.50136
8870.00 0.49857
8880.00 0.49577
8890.00 0.49297
8900.00 0.49018
8910.00 0.48716
8920.00 0.48414
8930.00 0.48112
8940.00 0.47811
8950.00 0.47509
8960.00 0.47207
8970.00 0.46905
8980.00 0.46604
8990.00 0.46302
9000.00 0.46000
9010.00 0.45654
9020.00 0.45308
9030.00 0.44962
9040.00 0.44616
9050.00 0.44270
9060.00 0.43924
9070.00 0.43579
9080.00 0.43233
9090.00 0.42887
9100.00 0.42541
9110.00 0.42165
9120.00 0.41790
9130.00 0.41415
9140.00 0.41039
9150.00 0.40664
9160.00 0.40289
9170.00 0.39913
9180.00 0.39538
9190.00 0.39163
9200.00 0.38787
9210.00 0.38419
9220.00 0.38051
9230.00 0.37683
9240.00 0.37315
9250.00 0.36947
9260.00 0.36579
9270.00 0.36211
9280.00 0.35843
9290.00 0.35475
9300.00 0.35107
9310.00 0.34724
9320.00 0.34342
9330.00 0.33959
9340.00 0.33576
9350.00 0.33194
9360.00 0.32811
9370.00 0.32428
9380.00 0.32045
9390.00 0.31663
9400.00 0.31280
9410.00 0.30905
9420.00 0.30529
9430.00 0.30154
9440.00 0.29779
9450.00 0.29403
9460.00 0.29028
9470.00 0.28652
9480.00 0.28277
9490.00 0.27902
9500.00 0.27526
9510.00 0.27136
9520.00 0.26746
9530.00 0.26356
9540.00 0.25966
9550.00 0.25576
9560.00 0.25186
9570.00 0.24796
9580.00 0.24406
9590.00 0.24016
9600.00 0.23626
9610.00 0.23294
9620.00 0.22963
9630.00 0.22632
9640.00 0.22301
9650.00 0.21970
9660.00 0.21638
9670.00 0.21307
9680.00 0.20976
9690.00 0.20645
9700.00 0.20314
9710.00 0.19990
9720.00 0.19666
9730.00 0.19342
9740.00 0.19018
9750.00 0.18694
9760.00 0.18371
9770.00 0.18047
9780.00 0.17723
9790.00 0.17399
9800.00 0.17075
9810.00 0.16781
9820.00 0.16486
9830.00 0.16192
9840.00 0.15898
9850.00 0.15603
9860.00 0.15309
9870.00 0.15014
9880.00 0.14720
9890.00 0.14426
9900.00 0.14131
9910.00 0.13829
9920.00 0.13528
9930.00 0.13226
9940.00 0.12924
9950.00 0.12622
9960.00 0.12321
9970.00 0.12019
9980.00 0.11717
9990.00 0.11415
10000.00 0.11114
10010.00 0.10856
10020.00 0.10598
10030.00 0.10341
10040.00 0.10083
10050.00 0.09826
10060.00 0.09568
10070.00 0.09310
10080.00 0.09053
10090.00 0.08795
10100.00 0.08538
10110.00 0.08280
10120.00 0.08022
10130.00 0.07765
10140.00 0.07507
10150.00 0.07250
10160.00 0.06992
10170.00 0.06734
10180.00 0.06477
10190.00 0.06219
10200.00 0.05962
10210.00 0.05770
10220.00 0.05579
10230.00 0.05388
10240.00 0.05196
10250.00 0.05005
10260.00 0.04813
10270.00 0.04622
10280.00 0.04431
10290.00 0.04239
10300.00 0.04048
10310.00 0.03908
10320.00 0.03768
10330.00 0.03628
10340.00 0.03489
10350.00 0.03349
10360.00 0.03209
10370.00 0.03069
10380.00 0.02929
10390.00 0.02789
10400.00 0.02650
10410.00 0.02547
10420.00 0.02444
10430.00 0.02340
10440.00 0.02237
10450.00 0.02134
10460.00 0.01939
10470.00 0.01665
10480.00 0.01410
10490.00 0.01174
10500.00 0.00957
10510.00 0.00793
10520.00 0.00636
10530.00 0.00484
10540.00 0.00339
10550.00 0.00199
10560.00 0.00065
10570.00 0.00000
10580.00 0.00000
10590.00 0.00000
10600.00 0.00000
10610.00 0.00000
10620.00 0.00000
10630.00 0.00000
10640.00 0.00000
10650.00 0.00000
10660.00 0.00000
10670.00 0.00000
10680.00 0.00000
10690.00 0.00000
10700.00 0.00000
10710.00 0.00000
10720.00 0.00000
10730.00 0.00000
10740.00 0.00000
10750.00 0.00000
10760.00 0.00000
10770.00 0.00000
10780.00 0.00000
10790.00 0.00000
10800.00 0.00000
10810.00 0.00000
10820.00 0.00000
10830.00 0.00000
10840.00 0.00000
10850.00 0.00000
10860.00 0.00000
10870.00 0.00000
10880.00 0.00000
10890.00 0.00000
10900.00 0.00000
10910.00 0.00000
10920.00 0.00000
10930.00 0.00000
10940.00 0.00000
10950.00 0.00000
10960.00 0.00000
10970.00 0.00000
10980.00 0.00000
10990.00 0.00000
8000.00 0.00002
8010.00 0.00003
8020.00 0.00003
8030.00 0.00003
8040.00 0.00003
8050.00 0.00004
8060.00 0.00004
8070.00 0.00005
8080.00 0.00007
8090.00 0.00008
8100.00 0.00009
8110.00 0.00013
8120.00 0.00018
8130.00 0.00026
8140.00 0.00040
8150.00 0.00065
8160.00 0.00112
8170.00 0.00185
8180.00 0.00305
8190.00 0.00475
8200.00 0.00704
8210.00 0.00994
8220.00 0.01366
8230.00 0.01820
8240.00 0.02345
8250.00 0.03058
8260.00 0.03900
8270.00 0.04796
8280.00 0.05876
8290.00 0.07147
8300.00 0.08580
8310.00 0.10118
8320.00 0.11803
8330.00 0.13528
8340.00 0.15451
8350.00 0.17500
8360.00 0.19415
8370.00 0.21555
8380.00 0.23737
8390.00 0.26134
8400.00 0.28959
8410.00 0.31549
8420.00 0.34437
8430.00 0.37460
8440.00 0.40913
8450.00 0.43985
8460.00 0.46810
8470.00 0.50016
8480.00 0.52985
8490.00 0.53965
8500.00 0.54721
8510.00 0.55913
8520.00 0.56785
8530.00 0.57017
8540.00 0.57030
8550.00 0.56308
8560.00 0.56262
8570.00 0.55976
8580.00 0.56087
8590.00 0.56322
8600.00 0.56420
8610.00 0.57465
8620.00 0.58293
8630.00 0.58455
8640.00 0.58646
8650.00 0.58652
8660.00 0.59005
8670.00 0.59086
8680.00 0.59135
8690.00 0.59191
8700.00 0.59066
8710.00 0.58680
8720.00 0.58734
8730.00 0.58443
8740.00 0.58584
8750.00 0.58551
8760.00 0.58631
8770.00 0.57497
8780.00 0.56742
8790.00 0.56521
8800.00 0.56529
8810.00 0.56261
8820.00 0.55838
8830.00 0.55504
8840.00 0.55008
8850.00 0.54926
8860.00 0.55300
8870.00 0.55054
8880.00 0.54841
8890.00 0.54389
8900.00 0.54021
8910.00 0.53897
8920.00 0.53684
8930.00 0.53275
8940.00 0.52614
8950.00 0.52261
8960.00 0.51701
8970.00 0.51777
8980.00 0.51666
8990.00 0.50958
9000.00 0.50227
9010.00 0.49876
9020.00 0.49809
9030.00 0.49215
9040.00 0.48671
9050.00 0.48609
9060.00 0.48684
9070.00 0.48709
9080.00 0.48235
9090.00 0.47727
9100.00 0.47371
9110.00 0.47099
9120.00 0.46685
9130.00 0.46190
9140.00 0.45953
9150.00 0.45711
9160.00 0.45402
9170.00 0.44954
9180.00 0.44596
9190.00 0.43748
9200.00 0.43258
9210.00 0.42686
9220.00 0.42501
9230.00 0.41694
9240.00 0.41017
9250.00 0.40690
9260.00 0.40273
9270.00 0.40115
9280.00 0.39850
9290.00 0.39300
9300.00 0.38771
9310.00 0.38511
9320.00 0.38115
9330.00 0.37657
9340.00 0.37304
9350.00 0.37035
9360.00 0.36799
9370.00 0.36361
9380.00 0.36175
9390.00 0.35653
9400.00 0.35207
9410.00 0.34870
9420.00 0.34540
9430.00 0.34000
9440.00 0.33454
9450.00 0.33118
9460.00 0.32608
9470.00 0.32235
9480.00 0.31854
9490.00 0.31280
9500.00 0.30897
9510.00 0.30432
9520.00 0.30050
9530.00 0.29516
9540.00 0.29060
9550.00 0.28636
9560.00 0.28360
9570.00 0.28103
9580.00 0.27826
9590.00 0.27258
9600.00 0.26635
9610.00 0.26313
9620.00 0.26024
9630.00 0.25426
9640.00 0.25093
9650.00 0.24715
9660.00 0.24534
9670.00 0.24135
9680.00 0.23866
9690.00 0.23333
9700.00 0.22699
9710.00 0.22368
9720.00 0.21986
9730.00 0.21567
9740.00 0.21298
9750.00 0.20891
9760.00 0.20503
9770.00 0.20208
9780.00 0.19933
9790.00 0.19468
9800.00 0.19016
9810.00 0.18628
9820.00 0.18377
9830.00 0.18008
9840.00 0.17676
9850.00 0.17416
9860.00 0.17185
9870.00 0.16854
9880.00 0.16681
9890.00 0.16231
9900.00 0.15922
9910.00 0.15595
9920.00 0.15261
9930.00 0.14979
9940.00 0.14714
9950.00 0.14405
9960.00 0.14113
9970.00 0.13766
9980.00 0.13428
9990.00 0.13036
10000.00 0.12687
10010.00 0.12353
10020.00 0.12086
10030.00 0.11805
10040.00 0.11487
10050.00 0.11219
10060.00 0.10946
10070.00 0.10670
10080.00 0.10390
10090.00 0.10063
10100.00 0.09769
10110.00 0.09469
10120.00 0.09182
10130.00 0.08876
10140.00 0.08596
10150.00 0.08345
10160.00 0.08038
10170.00 0.07757
10180.00 0.07454
10190.00 0.07143
10200.00 0.06847
10210.00 0.06625
10220.00 0.06415
10230.00 0.06172
10240.00 0.05948
10250.00 0.05752
10260.00 0.05559
10270.00 0.05342
10280.00 0.05111
10290.00 0.04861
10300.00 0.04624
10310.00 0.04473
10320.00 0.04323
10330.00 0.04159
10340.00 0.03990
10350.00 0.03836
10360.00 0.03685
10370.00 0.03495
10380.00 0.03347
10390.00 0.03179
10400.00 0.03022
10410.00 0.02922
10420.00 0.02809
10430.00 0.02687
10440.00 0.02562
10450.00 0.02458
10460.00 0.02340
10470.00 0.02243
10480.00 0.02127
10490.00 0.01998
10500.00 0.01877
10510.00 0.01843
10520.00 0.01806
10530.00 0.01774
10540.00 0.01732
10550.00 0.01701
10560.00 0.01671
10570.00 0.01628
10580.00 0.01597
10590.00 0.01558
10600.00 0.01522
10610.00 0.01479
10620.00 0.01442
10630.00 0.01400
10640.00 0.01363
10650.00 0.01319
10660.00 0.01273
10670.00 0.01234
10680.00 0.01193
10690.00 0.01143
10700.00 0.01087
10710.00 0.01034
10720.00 0.00980
10730.00 0.00922
10740.00 0.00860
10750.00 0.00802
10760.00 0.00742
10770.00 0.00671
10780.00 0.00610
10790.00 0.00546
10800.00 0.00478
10810.00 0.00421
10820.00 0.00366
10830.00 0.00314
10840.00 0.00267
10850.00 0.00226
10860.00 0.00189
10870.00 0.00157
10880.00 0.00130
10890.00 0.00106
10900.00 0.00085
10910.00 0.00068
10920.00 0.00054
10930.00 0.00042
10940.00 0.00032
10950.00 0.00024
10960.00 0.00017
10970.00 0.00011
10980.00 0.00007
10990.00 0.00003
11000.00 0.00000
ObservationSim/MockObject/CatalogBase.py
View file @ 1c871e69
......@@ -38,8 +38,8 @@ class CatalogBase(metaclass=ABCMeta):
"mag_use_normal":100.,
"theta":0.,
"kappa":0.,
"gamma1":0.,
"gamma2":0.,
"g1":0.,
"g2":0.,
"bfrac":0.,
"av":0.,
"redden":0.,
......@@ -48,11 +48,24 @@ class CatalogBase(metaclass=ABCMeta):
"ell_bulge":0.,
"ell_disk":0.,
"ell_tot":0.,
"e1_disk":0.,
"e2_disk":0.,
"e1_bulge":0.,
"e2_bulge":0.,
"teff":0.,
"logg":0.,
"feh":0.,
"g1":0.,
"g2":0.,
# C6 galaxies parameters
"e1":0.,
"e2":0.,
"bulgemass":0.,
"diskmass":0.,
"size":0.,
"detA":0.,
"type":0,
"veldisp":0.,
"coeff": np.zeros(20),
# Astrometry related
"pmra":0.,
"pmdec":0.,
"rv":0.,
......
ObservationSim/MockObject/Galaxy.py
View file @ 1c871e69
......@@ -9,31 +9,37 @@ from ObservationSim.MockObject._util import eObs, integrate_sed_bandpass, getNor
from ObservationSim.MockObject.SpecDisperser import SpecDisperser
from ObservationSim.MockObject.MockObject import MockObject
# import tracemalloc
class Galaxy(MockObject):
def __init__(self, param, rotation=None, logger=None):
super().__init__(param, logger=logger)
self.thetaR = self.param["theta"]
self.bfrac = self.param["bfrac"]
self.hlr_disk = self.param["hlr_disk"]
self.hlr_bulge = self.param["hlr_bulge"]
# self.thetaR = self.param["theta"]
# self.bfrac = self.param["bfrac"]
# self.hlr_disk = self.param["hlr_disk"]
# self.hlr_bulge = self.param["hlr_bulge"]
# Extract ellipticity components
self.e_disk = galsim.Shear(g=self.param["ell_disk"], beta=self.thetaR*galsim.degrees)
self.e_bulge = galsim.Shear(g=self.param["ell_bulge"], beta=self.thetaR*galsim.degrees)
self.e_total = galsim.Shear(g=self.param["ell_tot"], beta=self.thetaR*galsim.degrees)
self.e1_disk, self.e2_disk = self.e_disk.g1, self.e_disk.g2
self.e1_bulge, self.e2_bulge = self.e_bulge.g1, self.e_bulge.g2
self.e1_total, self.e2_total = self.e_total.g1, self.e_total.g2
# self.e_disk = galsim.Shear(g=self.param["ell_disk"], beta=self.thetaR*galsim.degrees)
# self.e_bulge = galsim.Shear(g=self.param["ell_bulge"], beta=self.thetaR*galsim.degrees)
# self.e_total = galsim.Shear(g=self.param["ell_tot"], beta=self.thetaR*galsim.degrees)
# self.e1_disk, self.e2_disk = self.e_disk.g1, self.e_disk.g2
# self.e1_bulge, self.e2_bulge = self.e_bulge.g1, self.e_bulge.g2
# self.e1_total, self.e2_total = self.e_total.g1, self.e_total.g2
if rotation is not None:
self.rotateEllipticity(rotation)
if not hasattr(self, "disk_sersic_idx"):
self.disk_sersic_idx = 1.
if not hasattr(self, "bulge_sersic_idx"):
self.bulge_sersic_idx = 4.
def unload_SED(self):
"""(Test) free up SED memory
"""
del self.sed
def getGSObj_multiband(self, tel, psf_list, bandpass_list, filt, nphotons_tot=None, g1=0, g2=0, exptime=150.):
def getGSObj_multiband(self, tel, psf_list, bandpass_list, filt, nphotons_tot=None, g1=0, g2=0, exptime=150., fd_shear=None):
if len(psf_list) != len(bandpass_list):
raise ValueError("!!!The number of PSF profiles and the number of bandpasses must be equal.")
objs = []
......@@ -63,10 +69,10 @@ class Galaxy(MockObject):
return -1
psf = psf_list[i]
disk = galsim.Sersic(n=1.0, half_light_radius=self.hlr_disk, flux=1.0)
disk = galsim.Sersic(n=self.disk_sersic_idx, half_light_radius=self.hlr_disk, flux=1.0)
disk_shape = galsim.Shear(g1=self.e1_disk, g2=self.e2_disk)
disk = disk.shear(disk_shape)
bulge = galsim.Sersic(n=4.0, half_light_radius=self.hlr_bulge, flux=1.0)
bulge = galsim.Sersic(n=self.bulge_sersic_idx, half_light_radius=self.hlr_bulge, flux=1.0)
bulge_shape = galsim.Shear(g1=self.e1_bulge, g2=self.e2_bulge)
bulge = bulge.shear(bulge_shape)
......@@ -75,11 +81,14 @@ class Galaxy(MockObject):
gal_shear = galsim.Shear(g1=g1, g2=g2)
gal = gal.shear(gal_shear)
gal = galsim.Convolve(psf, gal)
if fd_shear is not None:
gal = gal.shear(fd_shear)
objs.append(gal)
final = galsim.Sum(objs)
return final
def drawObj_multiband(self, tel, pos_img, psf_model, bandpass_list, filt, chip, nphotons_tot=None, g1=0, g2=0, exptime=150.):
def drawObj_multiband(self, tel, pos_img, psf_model, bandpass_list, filt, chip, nphotons_tot=None, g1=0, g2=0, exptime=150., fd_shear=None):
if nphotons_tot == None:
nphotons_tot = self.getElectronFluxFilt(filt, tel, exptime)
# print("nphotons_tot = ", nphotons_tot)
......@@ -89,15 +98,18 @@ class Galaxy(MockObject):
except Exception as e:
print(e)
self.logger.error(e)
return False
return 2, None
nphotons_sum = 0
photons_list = []
xmax, ymax = 0, 0
# # [C6 TEST]
# print('hlr_disk = %.4f, hlr_bulge = %.4f'%(self.hlr_disk, self.hlr_bulge))
# tracemalloc.start()
big_galaxy = False
if self.hlr_disk > 3.0: # Very big galaxy
if self.hlr_disk > 3.0 or self.hlr_bulge > 3.0: # Very big galaxy
big_galaxy = True
# (TEST) Galsim Parameters
......@@ -134,22 +146,23 @@ class Galaxy(MockObject):
if not (ratio == -1 or (ratio != ratio)):
nphotons = ratio * nphotons_tot
else:
# return False
continue
nphotons_sum += nphotons
# # [C6 TEST]
# print("nphotons_sub-band_%d = %.2f"%(i, nphotons))
psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass, folding_threshold=folding_threshold)
disk = galsim.Sersic(n=1.0, half_light_radius=self.hlr_disk, flux=1.0, gsparams=gsp)
disk = galsim.Sersic(n=self.disk_sersic_idx, half_light_radius=self.hlr_disk, flux=1.0, gsparams=gsp)
disk_shape = galsim.Shear(g1=self.e1_disk, g2=self.e2_disk)
disk = disk.shear(disk_shape)
bulge = galsim.Sersic(n=4.0, half_light_radius=self.hlr_bulge, flux=1.0, gsparams=gsp)
bulge = galsim.Sersic(n=self.bulge_sersic_idx, half_light_radius=self.hlr_bulge, flux=1.0, gsparams=gsp)
bulge_shape = galsim.Shear(g1=self.e1_bulge, g2=self.e2_bulge)
bulge = bulge.shear(bulge_shape)
gal = self.bfrac * bulge + (1.0 - self.bfrac) * disk
# # (TEST) Random knots
# (TEST) Random knots
# knots = galsim.RandomKnots(npoints=100, profile=disk)
# kfrac = np.random.random()*(1.0 - self.bfrac)
# gal = self.bfrac * bulge + (1.0 - self.bfrac - kfrac) * disk + kfrac * knots
......@@ -158,93 +171,82 @@ class Galaxy(MockObject):
gal_shear = galsim.Shear(g1=g1, g2=g2)
gal = gal.shear(gal_shear)
if self.hlr_disk < 10.0: # Not apply PSF for very big galaxy
if not big_galaxy: # Not apply PSF for very big galaxy
gal = galsim.Convolve(psf, gal)
if fd_shear is not None:
gal = gal.shear(fd_shear)
# Use (explicit) stamps to draw
# stamp = gal.drawImage(wcs=self.localWCS, method='phot', offset=self.offset, save_photons=True)
# xmax = max(xmax, stamp.xmax)
# ymax = max(ymax, stamp.ymax)
# photons = stamp.photons
# photons.x += self.x_nominal
# photons.y += self.y_nominal
# photons_list.append(photons)
stamp = gal.drawImage(wcs=real_wcs_local, method='phot', offset=offset, save_photons=True)
xmax = max(xmax, stamp.xmax)
ymax = max(ymax, stamp.ymax)
xmax = max(xmax, stamp.xmax - stamp.xmin)
ymax = max(ymax, stamp.ymax - stamp.ymin)
photons = stamp.photons
photons.x += x_nominal
photons.y += y_nominal
photons_list.append(photons)
del gal
# # [C6 TEST]
# print('xmax = %d, ymax = %d '%(xmax, ymax))
# # Output memory usage
# snapshot = tracemalloc.take_snapshot()
# top_stats = snapshot.statistics('lineno')
# for stat in top_stats[:10]:
# print(stat)
stamp = galsim.ImageF(int(xmax * 1.1), int(ymax * 1.1))
stamp.wcs = real_wcs_local
stamp.setCenter(x_nominal, y_nominal)
bounds = stamp.bounds & galsim.BoundsI(0, chip.npix_x - 1, 0, chip.npix_y - 1)
chip.img.setOrigin(0, 0)
stamp[bounds] = chip.img[bounds]
if not big_galaxy:
for i in range(len(photons_list)):
if i == 0:
chip.sensor.accumulate(photons_list[i], stamp)
else:
chip.sensor.accumulate(photons_list[i], stamp, resume=True)
if bounds.area() > 0:
chip.img.setOrigin(0, 0)
stamp[bounds] = chip.img[bounds]
if not big_galaxy:
for i in range(len(photons_list)):
if i == 0:
chip.sensor.accumulate(photons_list[i], stamp)
else:
chip.sensor.accumulate(photons_list[i], stamp, resume=True)
else:
sensor = galsim.Sensor()
for i in range(len(photons_list)):
if i == 0:
sensor.accumulate(photons_list[i], stamp)
else:
sensor.accumulate(photons_list[i], stamp, resume=True)
del sensor
chip.img[bounds] = stamp[bounds]
chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin)
else:
sensor = galsim.Sensor()
for i in range(len(photons_list)):
if i == 0:
sensor.accumulate(photons_list[i], stamp)
else:
sensor.accumulate(photons_list[i], stamp, resume=True)
chip.img[bounds] = stamp[bounds]
chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin)
# stamp = galsim.ImageF(int(xmax*1.1), int(ymax*1.1))
# stamp.wcs = self.localWCS
# stamp.setCenter(self.x_nominal, self.y_nominal)
# bounds = stamp.bounds & chip.img.bounds
# stamp[bounds] = chip.img[bounds]
#
# if not big_galaxy:
# for i in range(len(photons_list)):
# if i == 0:
# chip.sensor.accumulate(photons_list[i], stamp)
# else:
# chip.sensor.accumulate(photons_list[i], stamp, resume=True)
# else:
# sensor = galsim.Sensor()
# for i in range(len(photons_list)):
# if i == 0:
# sensor.accumulate(photons_list[i], stamp)
# else:
# sensor.accumulate(photons_list[i], stamp, resume=True)
#
# # print(stamp.array.sum())
# # chip.img[bounds] += stamp[bounds]
# chip.img[bounds] = stamp[bounds]
# # print("nphotons_sum = ", nphotons_sum)
# Return code 0: object photons missed this detector
print("obj %s missed"%(self.id))
self.logger.info("obj %s missed"%(self.id))
return 0, pos_shear
# # [C6 TEST]
# print("nphotons_sum = ", nphotons_sum)
del photons_list
del stamp
return True, pos_shear
return 1, pos_shear
def drawObj_slitless(self, tel, pos_img, psf_model, bandpass_list, filt, chip, nphotons_tot=None, g1=0, g2=0,
exptime=150., normFilter=None, grating_split_pos=3685):
norm_thr_rang_ids = normFilter['SENSITIVITY'] > 0.001
sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=self.param['mag_use_normal'], spectrum=self.sed,
norm_thr=normFilter,
sWave=np.floor(normFilter[norm_thr_rang_ids][0][0]),
eWave=np.ceil(normFilter[norm_thr_rang_ids][-1][0]))
if sedNormFactor == 0:
return False
exptime=150., normFilter=None, grating_split_pos=3685, fd_shear=None):
if normFilter is not None:
norm_thr_rang_ids = normFilter['SENSITIVITY'] > 0.001
sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=self.param['mag_use_normal'], spectrum=self.sed,
norm_thr=normFilter,
sWave=np.floor(normFilter[norm_thr_rang_ids][0][0]),
eWave=np.ceil(normFilter[norm_thr_rang_ids][-1][0]))
if sedNormFactor == 0:
return 2, None
else:
sedNormFactor = 1.
normalSED = Table(np.array([self.sed['WAVELENGTH'], self.sed['FLUX'] * sedNormFactor]).T,
names=('WAVELENGTH', 'FLUX'))
......@@ -262,7 +264,7 @@ class Galaxy(MockObject):
big_galaxy = False
if self.hlr_disk > 3.0: # Very big galaxy
if self.hlr_disk > 3.0 or self.hlr_bulge > 3.0: # Very big galaxy
big_galaxy = True
if self.getMagFilter(filt) <= 15 and (not big_galaxy):
......@@ -280,10 +282,10 @@ class Galaxy(MockObject):
bandpass = bandpass_list[i]
psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass, folding_threshold=folding_threshold)
disk = galsim.Sersic(n=1.0, half_light_radius=self.hlr_disk, flux=1.0, gsparams=gsp)
disk = galsim.Sersic(n=self.disk_sersic_idx, half_light_radius=self.hlr_disk, flux=1.0, gsparams=gsp)
disk_shape = galsim.Shear(g1=self.e1_disk, g2=self.e2_disk)
disk = disk.shear(disk_shape)
bulge = galsim.Sersic(n=4.0, half_light_radius=self.hlr_bulge, flux=1.0, gsparams=gsp)
bulge = galsim.Sersic(n=self.bulge_sersic_idx, half_light_radius=self.hlr_bulge, flux=1.0, gsparams=gsp)
bulge_shape = galsim.Shear(g1=self.e1_bulge, g2=self.e2_bulge)
bulge = bulge.shear(bulge_shape)
......@@ -299,11 +301,16 @@ class Galaxy(MockObject):
gal = gal.shear(gal_shear)
gal = galsim.Convolve(psf, gal)
starImg = gal.drawImage(wcs=real_wcs_local)
if not big_galaxy: # Not apply PSF for very big galaxy
gal = galsim.Convolve(psf, gal)
if fd_shear is not None:
gal = gal.shear(fd_shear)
starImg = gal.drawImage(wcs=real_wcs_local, offset=offset)
origin_star = [y_nominal - (starImg.center.y - starImg.ymin),
x_nominal - (starImg.center.x - starImg.xmin)]
starImg.setOrigin(0, 0)
gal_origin = [origin_star[0], origin_star[1]]
gal_end = [origin_star[0] + starImg.array.shape[0] - 1, origin_star[1] + starImg.array.shape[1] - 1]
......@@ -313,6 +320,7 @@ class Galaxy(MockObject):
subImg_p1 = starImg.array[:, 0:subSlitPos]
star_p1 = galsim.Image(subImg_p1)
star_p1.setOrigin(0, 0)
origin_p1 = origin_star
xcenter_p1 = min(x_nominal,grating_split_pos_chip-1) - 0
ycenter_p1 = y_nominal-0
......@@ -329,6 +337,7 @@ class Galaxy(MockObject):
subImg_p2 = starImg.array[:, subSlitPos+1:starImg.array.shape[1]]
star_p2 = galsim.Image(subImg_p2)
star_p2.setOrigin(0, 0)
origin_p2 = [origin_star[0], grating_split_pos_chip]
xcenter_p2 = max(x_nominal, grating_split_pos_chip - 1) - 0
ycenter_p2 = y_nominal - 0
......@@ -368,16 +377,16 @@ class Galaxy(MockObject):
# print(self.y_nominal, starImg.center.y, starImg.ymin)
del psf
return True, pos_shear
return 1, pos_shear
def getGSObj(self, psf, g1=0, g2=0, flux=None, filt=None, tel=None, exptime=150.):
if flux == None:
flux = self.getElectronFluxFilt(filt, tel, exptime)
disk = galsim.Sersic(n=1.0, half_light_radius=self.hlr_disk, flux=1.0)
disk = galsim.Sersic(n=self.disk_sersic_idx, half_light_radius=self.hlr_disk, flux=1.0)
disk_shape = galsim.Shear(g1=self.e1_disk, g2=self.e2_disk)
disk = disk.shear(disk_shape)
bulge = galsim.Sersic(n=4.0, half_light_radius=self.hlr_bulge, flux=1.0)
bulge = galsim.Sersic(n=self.bulge_sersic_idx, half_light_radius=self.hlr_bulge, flux=1.0)
bulge_shape = galsim.Shear(g1=self.e1_bulge, g2=self.e2_bulge)
bulge = bulge.shear(bulge_shape)
......
ObservationSim/MockObject/MockObject.py
View file @ 1c871e69
import galsim
import numpy as np
import astropy.constants as cons
from astropy import wcs
from astropy.table import Table
from ObservationSim.MockObject._util import magToFlux, VC_A, convolveGaussXorders
......@@ -12,53 +13,36 @@ from ObservationSim.MockObject.SpecDisperser import SpecDisperser
class MockObject(object):
def __init__(self, param, logger=None):
self.param = param
for key in self.param:
setattr(self, key, self.param[key])
if self.param["star"] == 0:
self.type = "galaxy"
elif self.param["star"] == 1:
self.type = "star"
elif self.param["star"] == 2:
self.type = "quasar"
###mock_stamp_START
elif self.param["star"] == 3:
self.type = "stamp"
###mock_stamp_END
self.id = self.param["id"]
self.ra = self.param["ra"]
self.dec = self.param["dec"]
self.ra_orig = self.param["ra_orig"]
self.dec_orig = self.param["dec_orig"]
self.z = self.param["z"]
self.sed_type = self.param["sed_type"]
self.model_tag = self.param["model_tag"]
self.mag_use_normal = self.param["mag_use_normal"]
self.sed = None
# Place holder for outputs
self.av = self.param["av"]
self.redden = self.param["redden"]
self.pmra = self.param["pmra"]
self.pmdec = self.param["pmdec"]
self.rv = self.param["rv"]
self.parallax = self.param["parallax"]
self.g1 = self.param["g1"]
self.g2 = self.param["g2"]
self.thetaR = self.param["theta"]
self.bfrac = self.param["bfrac"]
self.hlr_disk = self.param["hlr_disk"]
self.hlr_bulge = self.param["hlr_bulge"]
self.e1_disk, self.e2_disk = 0., 0.
self.e1_bulge, self.e2_bulge = 0., 0.
self.additional_output_str = ""
self.fd_shear = None
self.logger = logger
def getMagFilter(self, filt):
if filt.filter_type in ["GI", "GV", "GU"]:
return self.param["mag_use_normal"]
return self.param["mag_%s" % filt.filter_type]
# (TEST) stamp size
# return 13.0
return self.param["mag_%s" % filt.filter_type.lower()]
def getFluxFilter(self, filt):
return self.param["flux_%s" % filt.filter_type]
return self.param["flux_%s" % filt.filter_type.lower()]
def getNumPhotons(self, flux, tel, exptime=150.):
pupil_area = tel.pupil_area * (100.) ** 2 # m^2 to cm^2
......@@ -85,7 +69,7 @@ class MockObject(object):
print("\n")
print("Before field distortion:\n")
print("x = %.2f, y = %.2f\n" % (self.posImg.x, self.posImg.y), flush=True)
self.posImg = fdmodel.get_Distorted(chip=chip, pos_img=self.posImg)
self.posImg, self.fd_shear = fdmodel.get_distorted(chip=chip, pos_img=self.posImg)
if verbose:
print("After field distortion:\n")
print("x = %.2f, y = %.2f\n" % (self.posImg.x, self.posImg.y), flush=True)
......@@ -96,14 +80,12 @@ class MockObject(object):
dy = y - self.y_nominal
self.offset = galsim.PositionD(dx, dy)
from astropy import wcs
if img_header is not None:
self.real_wcs = galsim.FitsWCS(header=img_header)
else:
self.real_wcs = None
return self.posImg, self.offset, self.localWCS, self.real_wcs
return self.posImg, self.offset, self.localWCS, self.real_wcs, self.fd_shear
def getRealPos(self, img, global_x=0., global_y=0., img_real_wcs=None):
img_global_pos = galsim.PositionD(global_x, global_y)
......@@ -141,7 +123,7 @@ class MockObject(object):
return img, stamp, isUpdated
def drawObj_multiband(self, tel, pos_img, psf_model, bandpass_list, filt, chip, nphotons_tot=None, g1=0, g2=0,
exptime=150.):
exptime=150., fd_shear=None):
if nphotons_tot == None:
nphotons_tot = self.getElectronFluxFilt(filt, tel, exptime)
# print("nphotons_tot = ", nphotons_tot)
......@@ -151,7 +133,7 @@ class MockObject(object):
except Exception as e:
print(e)
self.logger.error(e)
return False
return 2, None
nphotons_sum = 0
photons_list = []
......@@ -201,14 +183,6 @@ class MockObject(object):
star = star.withFlux(nphotons)
star = galsim.Convolve(psf, star)
# stamp = star.drawImage(wcs=self.localWCS, method='phot', offset=self.offset, save_photons=True)
# xmax = max(xmax, stamp.xmax)
# ymax = max(ymax, stamp.ymax)
# photons = stamp.photons
# photons.x += self.x_nominal
# photons.y += self.y_nominal
# photons_list.append(photons)
stamp = star.drawImage(wcs=real_wcs_local, method='phot', offset=offset, save_photons=True)
xmax = max(xmax, stamp.xmax)
ymax = max(ymax, stamp.ymax)
......@@ -221,37 +195,31 @@ class MockObject(object):
stamp.wcs = real_wcs_local
stamp.setCenter(x_nominal, y_nominal)
bounds = stamp.bounds & galsim.BoundsI(0, chip.npix_x - 1, 0, chip.npix_y - 1)
chip.img.setOrigin(0, 0)
stamp[bounds] = chip.img[bounds]
for i in range(len(photons_list)):
if i == 0:
chip.sensor.accumulate(photons_list[i], stamp)
else:
chip.sensor.accumulate(photons_list[i], stamp, resume=True)
chip.img[bounds] = stamp[bounds]
chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin)
# Test stamp size
# print(xmax, ymax)
# stamp = galsim.ImageF(int(xmax*1.1), int(ymax*1.1))
# stamp.wcs = self.localWCS
# stamp.setCenter(self.x_nominal, self.y_nominal)
# bounds = stamp.bounds & chip.img.bounds
# stamp[bounds] = chip.img[bounds]
# for i in range(len(photons_list)):
# if i == 0:
# chip.sensor.accumulate(photons_list[i], stamp)
# else:
# chip.sensor.accumulate(photons_list[i], stamp, resume=True)
#
# chip.img[bounds] = stamp[bounds]
# print(chip.img.array.sum())
# print("nphotons_sum = ", nphotons_sum)
# # (DEBUG)
# print("stamp bounds: ", stamp.bounds)
# print(bounds)
if bounds.area() > 0:
chip.img.setOrigin(0, 0)
stamp[bounds] = chip.img[bounds]
for i in range(len(photons_list)):
if i == 0:
chip.sensor.accumulate(photons_list[i], stamp)
else:
chip.sensor.accumulate(photons_list[i], stamp, resume=True)
chip.img[bounds] = stamp[bounds]
chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin)
else:
# Return code 0: object photons missed this detector
print("obj %s missed"%(self.id))
self.logger.info("obj %s missed"%(self.id))
return 0, pos_shear
del photons_list
del stamp
return True, pos_shear
return 1, pos_shear # Return code 1: draw sucesss
def addSLStoChipImage(self, sdp=None, chip=None, xOrderSigPlus=None, local_wcs=None):
spec_orders = sdp.compute_spec_orders()
......@@ -302,17 +270,18 @@ class MockObject(object):
del spec_orders
def drawObj_slitless(self, tel, pos_img, psf_model, bandpass_list, filt, chip, nphotons_tot=None, g1=0, g2=0,
exptime=150., normFilter=None, grating_split_pos=3685):
norm_thr_rang_ids = normFilter['SENSITIVITY'] > 0.001
sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=self.param['mag_use_normal'], spectrum=self.sed,
norm_thr=normFilter,
sWave=np.floor(normFilter[norm_thr_rang_ids][0][0]),
eWave=np.ceil(normFilter[norm_thr_rang_ids][-1][0]))
# print(self.x_nominal, self.y_nominal, chip.bound)
if sedNormFactor == 0:
return False
exptime=150., normFilter=None, grating_split_pos=3685, fd_shear=None):
if normFilter is not None:
norm_thr_rang_ids = normFilter['SENSITIVITY'] > 0.001
sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=self.param['mag_use_normal'], spectrum=self.sed,
norm_thr=normFilter,
sWave=np.floor(normFilter[norm_thr_rang_ids][0][0]),
eWave=np.ceil(normFilter[norm_thr_rang_ids][-1][0]))
if sedNormFactor == 0:
return 2, None
else:
sedNormFactor = 1.
if self.getMagFilter(filt) <= 15:
folding_threshold = 5.e-4
......@@ -347,11 +316,12 @@ class MockObject(object):
star = galsim.DeltaFunction(gsparams=gsp)
star = star.withFlux(tel.pupil_area * exptime)
star = galsim.Convolve(psf, star)
starImg = star.drawImage(nx=100, ny=100, wcs=real_wcs_local)
starImg = star.drawImage(nx=100, ny=100, wcs=real_wcs_local, offset=offset)
origin_star = [y_nominal - (starImg.center.y - starImg.ymin),
x_nominal - (starImg.center.x - starImg.xmin)]
starImg.setOrigin(0,0)
gal_origin = [origin_star[0], origin_star[1]]
gal_end = [origin_star[0] + starImg.array.shape[0] - 1, origin_star[1] + starImg.array.shape[1] - 1]
......@@ -362,6 +332,7 @@ class MockObject(object):
subImg_p1 = starImg.array[:, 0:subSlitPos]
star_p1 = galsim.Image(subImg_p1)
origin_p1 = origin_star
star_p1.setOrigin(0,0)
xcenter_p1 = min(x_nominal, grating_split_pos_chip - 1) - 0
ycenter_p1 = y_nominal - 0
......@@ -377,6 +348,7 @@ class MockObject(object):
subImg_p2 = starImg.array[:, subSlitPos + 1:starImg.array.shape[1]]
star_p2 = galsim.Image(subImg_p2)
star_p2.setOrigin(0, 0)
origin_p2 = [origin_star[0], grating_split_pos_chip]
xcenter_p2 = max(x_nominal, grating_split_pos_chip - 1) - 0
ycenter_p2 = y_nominal - 0
......@@ -414,7 +386,7 @@ class MockObject(object):
self.addSLStoChipImage(sdp=sdp, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=real_wcs_local)
del sdp
del psf
return True, pos_shear
return 1, pos_shear
def SNRestimate(self, img_obj, flux, noise_level=0.0, seed=31415):
img_flux = img_obj.added_flux
......@@ -425,6 +397,3 @@ class MockObject(object):
sig_obj = np.std(stamp.array)
snr_obj = img_flux / sig_obj
return snr_obj
# def getObservedEll(self, g1=0, g2=0):
# return 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
Supports Markdown
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment