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Commit 538b21ee authored by Zhang Xin's avatar Zhang Xin
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Merge branch 'develop' into 'master' 

merge develop into master (for release v2.0)

See merge request csst_sim/csst-simulation!13
parents 2953a065 1c871e69
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ObservationSim/Instrument/data/ccd/chip_definition.json 0 → 100644
View file @ 538b21ee
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}
\ No newline at end of file
ObservationSim/Instrument/data/filters/fgs_sub.list 0 → 100644
View file @ 538b21ee
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 @ 538b21ee
# 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
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ObservationSim/Instrument/data/throughputs/g_throughput.txt
View file @ 538b21ee
# g_css # g_cssc
# lambda_Angst throughput
2000.00 0.00000 2000.00 0.00000
2010.00 0.00000 2010.00 0.00000
2020.00 0.00000 2020.00 0.00000
...@@ -14,102 +15,102 @@ ...@@ -14,102 +15,102 @@
2120.00 0.00000 2120.00 0.00000
2130.00 0.00000 2130.00 0.00000
2140.00 0.00000 2140.00 0.00000
2150.00 0.00000 2150.00 0.00001
2160.00 0.00000 2160.00 0.00001
2170.00 0.00000 2170.00 0.00001
2180.00 0.00000 2180.00 0.00001
2190.00 0.00000 2190.00 0.00001
2200.00 0.00000 2200.00 0.00001
2210.00 0.00000 2210.00 0.00001
2220.00 0.00000 2220.00 0.00002
2230.00 0.00000 2230.00 0.00002
2240.00 0.00000 2240.00 0.00002
2250.00 0.00000 2250.00 0.00002
2260.00 0.00000 2260.00 0.00003
2270.00 0.00000 2270.00 0.00003
2280.00 0.00000 2280.00 0.00003
2290.00 0.00000 2290.00 0.00004
2300.00 0.00000 2300.00 0.00004
2310.00 0.00000 2310.00 0.00005
2320.00 0.00000 2320.00 0.00005
2330.00 0.00000 2330.00 0.00006
2340.00 0.00000 2340.00 0.00006
2350.00 0.00000 2350.00 0.00007
2360.00 0.00000 2360.00 0.00007
2370.00 0.00000 2370.00 0.00008
2380.00 0.00000 2380.00 0.00008
2390.00 0.00000 2390.00 0.00009
2400.00 0.00000 2400.00 0.00010
2410.00 0.00000 2410.00 0.00011
2420.00 0.00000 2420.00 0.00011
2430.00 0.00000 2430.00 0.00012
2440.00 0.00000 2440.00 0.00013
2450.00 0.00000 2450.00 0.00014
2460.00 0.00000 2460.00 0.00015
2470.00 0.00000 2470.00 0.00016
2480.00 0.00000 2480.00 0.00017
2490.00 0.00000 2490.00 0.00018
2500.00 0.00000 2500.00 0.00019
2510.00 0.00000 2510.00 0.00019
2520.00 0.00000 2520.00 0.00020
2530.00 0.00000 2530.00 0.00021
2540.00 0.00000 2540.00 0.00022
2550.00 0.00000 2550.00 0.00023
2560.00 0.00000 2560.00 0.00023
2570.00 0.00000 2570.00 0.00022
2580.00 0.00000 2580.00 0.00022
2590.00 0.00000 2590.00 0.00021
2600.00 0.00000 2600.00 0.00021
2610.00 0.00000 2610.00 0.00021
2620.00 0.00000 2620.00 0.00021
2630.00 0.00000 2630.00 0.00021
2640.00 0.00000 2640.00 0.00020
2650.00 0.00000 2650.00 0.00020
2660.00 0.00000 2660.00 0.00019
2670.00 0.00000 2670.00 0.00018
2680.00 0.00000 2680.00 0.00017
2690.00 0.00000 2690.00 0.00017
2700.00 0.00000 2700.00 0.00017
2710.00 0.00000 2710.00 0.00016
2720.00 0.00000 2720.00 0.00016
2730.00 0.00000 2730.00 0.00016
2740.00 0.00000 2740.00 0.00015
2750.00 0.00000 2750.00 0.00015
2760.00 0.00000 2760.00 0.00015
2770.00 0.00000 2770.00 0.00016
2780.00 0.00000 2780.00 0.00016
2790.00 0.00000 2790.00 0.00017
2800.00 0.00000 2800.00 0.00017
2810.00 0.00000 2810.00 0.00018
2820.00 0.00000 2820.00 0.00019
2830.00 0.00000 2830.00 0.00019
2840.00 0.00000 2840.00 0.00019
2850.00 0.00000 2850.00 0.00020
2860.00 0.00000 2860.00 0.00020
2870.00 0.00000 2870.00 0.00021
2880.00 0.00000 2880.00 0.00021
2890.00 0.00000 2890.00 0.00022
2900.00 0.00000 2900.00 0.00022
2910.00 0.00000 2910.00 0.00023
2920.00 0.00000 2920.00 0.00023
2930.00 0.00000 2930.00 0.00023
2940.00 0.00000 2940.00 0.00023
2950.00 0.00000 2950.00 0.00023
2960.00 0.00000 2960.00 0.00022
2970.00 0.00000 2970.00 0.00022
2980.00 0.00000 2980.00 0.00022
2990.00 0.00000 2990.00 0.00023
3000.00 0.00000 3000.00 0.00023
3010.00 0.00000 3010.00 0.00029
3020.00 0.00000 3020.00 0.00029
3030.00 0.00000 3030.00 0.00023
3040.00 0.00000 3040.00 0.00015
3050.00 0.00000 3050.00 0.00008
3060.00 0.00000 3060.00 0.00003
3070.00 0.00000 3070.00 0.00002
3080.00 0.00000 3080.00 0.00001
3090.00 0.00000 3090.00 0.00001
3100.00 0.00000 3100.00 0.00001
3110.00 0.00000 3110.00 0.00000
3120.00 0.00000 3120.00 0.00000
3130.00 0.00000 3130.00 0.00000
...@@ -184,194 +185,194 @@ ...@@ -184,194 +185,194 @@
3820.00 0.00000 3820.00 0.00000
3830.00 0.00000 3830.00 0.00000
3840.00 0.00000 3840.00 0.00000
3850.00 0.00000 3850.00 0.00001
3860.00 0.00000 3860.00 0.00001
3870.00 0.00000 3870.00 0.00002
3880.00 0.00000 3880.00 0.00003
3890.00 0.00000 3890.00 0.00006
3900.00 0.00000 3900.00 0.00009
3910.00 0.00000 3910.00 0.00015
3920.00 0.00000 3920.00 0.00026
3930.00 0.00000 3930.00 0.00050
3940.00 0.00000 3940.00 0.00100
3950.00 0.00000 3950.00 0.00205
3960.00 0.00000 3960.00 0.00437
3970.00 0.00000 3970.00 0.00962
3980.00 0.00000 3980.00 0.02183
3990.00 0.00000 3990.00 0.04851
4000.00 0.00000 4000.00 0.09436
4010.00 0.00000 4010.00 0.15746
4020.00 0.04006 4020.00 0.22882
4030.00 0.12152 4030.00 0.29197
4040.00 0.20475 4040.00 0.33603
4050.00 0.28977 4050.00 0.35924
4060.00 0.37657 4060.00 0.36793
4070.00 0.42288 4070.00 0.37436
4080.00 0.42736 4080.00 0.38515
4090.00 0.43186 4090.00 0.40138
4100.00 0.43636 4100.00 0.41976
4110.00 0.44008 4110.00 0.43396
4120.00 0.44382 4120.00 0.44410
4130.00 0.44756 4130.00 0.45148
4140.00 0.45131 4140.00 0.45555
4150.00 0.45506 4150.00 0.45950
4160.00 0.45883 4160.00 0.46325
4170.00 0.46261 4170.00 0.46808
4180.00 0.46639 4180.00 0.47311
4190.00 0.47019 4190.00 0.47932
4200.00 0.47399 4200.00 0.48490
4210.00 0.47680 4210.00 0.48809
4220.00 0.47961 4220.00 0.49160
4230.00 0.48243 4230.00 0.49607
4240.00 0.48525 4240.00 0.50154
4250.00 0.48808 4250.00 0.50660
4260.00 0.49092 4260.00 0.51182
4270.00 0.49376 4270.00 0.51588
4280.00 0.49661 4280.00 0.51954
4290.00 0.49947 4290.00 0.52298
4300.00 0.50233 4300.00 0.52681
4310.00 0.50513 4310.00 0.53111
4320.00 0.50793 4320.00 0.53565
4330.00 0.51074 4330.00 0.54065
4340.00 0.51356 4340.00 0.54552
4350.00 0.51638 4350.00 0.54842
4360.00 0.51921 4360.00 0.55056
4370.00 0.52204 4370.00 0.55320
4380.00 0.52488 4380.00 0.55497
4390.00 0.52773 4390.00 0.55628
4400.00 0.53058 4400.00 0.55810
4410.00 0.53337 4410.00 0.56022
4420.00 0.53616 4420.00 0.56418
4430.00 0.53896 4430.00 0.56784
4440.00 0.54177 4440.00 0.57139
4450.00 0.54458 4450.00 0.57177
4460.00 0.54740 4460.00 0.57109
4470.00 0.55022 4470.00 0.57056
4480.00 0.55305 4480.00 0.57073
4490.00 0.55588 4490.00 0.57231
4500.00 0.55872 4500.00 0.57505
4510.00 0.56107 4510.00 0.57659
4520.00 0.56344 4520.00 0.57743
4530.00 0.56580 4530.00 0.57720
4540.00 0.56817 4540.00 0.57605
4550.00 0.57054 4550.00 0.57356
4560.00 0.57292 4560.00 0.57143
4570.00 0.57530 4570.00 0.57015
4580.00 0.57769 4580.00 0.56881
4590.00 0.58008 4590.00 0.56722
4600.00 0.58248 4600.00 0.56571
4610.00 0.58480 4610.00 0.56305
4620.00 0.58714 4620.00 0.56048
4630.00 0.58947 4630.00 0.55917
4640.00 0.59182 4640.00 0.55810
4650.00 0.59416 4650.00 0.55639
4660.00 0.59651 4660.00 0.55511
4670.00 0.59886 4670.00 0.55352
4680.00 0.60122 4680.00 0.55241
4690.00 0.60358 4690.00 0.55337
4700.00 0.60595 4700.00 0.55467
4710.00 0.60810 4710.00 0.55663
4720.00 0.61026 4720.00 0.55920
4730.00 0.61243 4730.00 0.56196
4740.00 0.61459 4740.00 0.56446
4750.00 0.61668 4750.00 0.57075
4760.00 0.61805 4760.00 0.57642
4770.00 0.61942 4770.00 0.57513
4780.00 0.62078 4780.00 0.57322
4790.00 0.62215 4790.00 0.57242
4800.00 0.62352 4800.00 0.57303
4810.00 0.62467 4810.00 0.57907
4820.00 0.62582 4820.00 0.58632
4830.00 0.62698 4830.00 0.59307
4840.00 0.62813 4840.00 0.59971
4850.00 0.62928 4850.00 0.60540
4860.00 0.63043 4860.00 0.61026
4870.00 0.63158 4870.00 0.61448
4880.00 0.63274 4880.00 0.61726
4890.00 0.63389 4890.00 0.62186
4900.00 0.63504 4900.00 0.62654
4910.00 0.63590 4910.00 0.63196
4920.00 0.63677 4920.00 0.63856
4930.00 0.63763 4930.00 0.64481
4940.00 0.63850 4940.00 0.65124
4950.00 0.63936 4950.00 0.65668
4960.00 0.64022 4960.00 0.66159
4970.00 0.64109 4970.00 0.66490
4980.00 0.64195 4980.00 0.66745
4990.00 0.64282 4990.00 0.67020
5000.00 0.64368 5000.00 0.67297
5010.00 0.64433 5010.00 0.67341
5020.00 0.64498 5020.00 0.67379
5030.00 0.64562 5030.00 0.67496
5040.00 0.64627 5040.00 0.67633
5050.00 0.64692 5050.00 0.67812
5060.00 0.64757 5060.00 0.68082
5070.00 0.64822 5070.00 0.68378
5080.00 0.64886 5080.00 0.68717
5090.00 0.64951 5090.00 0.69072
5100.00 0.65016 5100.00 0.69383
5110.00 0.65095 5110.00 0.69629
5120.00 0.65174 5120.00 0.69830
5130.00 0.65254 5130.00 0.69963
5140.00 0.65333 5140.00 0.70051
5150.00 0.65412 5150.00 0.70226
5160.00 0.65491 5160.00 0.70355
5170.00 0.65570 5170.00 0.70512
5180.00 0.65650 5180.00 0.70682
5190.00 0.65729 5190.00 0.70669
5200.00 0.65808 5200.00 0.70497
5210.00 0.65866 5210.00 0.70215
5220.00 0.65923 5220.00 0.69898
5230.00 0.65981 5230.00 0.69597
5240.00 0.66038 5240.00 0.69425
5250.00 0.66096 5250.00 0.69655
5260.00 0.66154 5260.00 0.69875
5270.00 0.66211 5270.00 0.69979
5280.00 0.66269 5280.00 0.69936
5290.00 0.66326 5290.00 0.69911
5300.00 0.66384 5300.00 0.69912
5310.00 0.66406 5310.00 0.69944
5320.00 0.66427 5320.00 0.70162
5330.00 0.66449 5330.00 0.70301
5340.00 0.66470 5340.00 0.70379
5350.00 0.66492 5350.00 0.70471
5360.00 0.66514 5360.00 0.70421
5370.00 0.66535 5370.00 0.70443
5380.00 0.66557 5380.00 0.70456
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5400.00 0.66600 5400.00 0.70132
5410.00 0.66622 5410.00 0.69908
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5470.00 0.66751 5470.00 0.56275
5480.00 0.66773 5480.00 0.47122
5490.00 0.55662 5490.00 0.36060
5500.00 0.44544 5500.00 0.24974
5510.00 0.33422 5510.00 0.15776
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5530.00 0.11150 5530.00 0.04709
5540.00 0.00000 5540.00 0.02357
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...@@ -599,115 +600,115 @@ ...@@ -599,115 +600,115 @@
7970.00 0.00000 7970.00 0.00000
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8000.00 0.00000 8000.00 0.00002
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8740.00 0.00000 8740.00 0.00000
8750.00 0.00000 8750.00 0.00000
8760.00 0.00000 8760.00 0.00001
8770.00 0.00000 8770.00 0.00001
8780.00 0.00000 8780.00 0.00001
8790.00 0.00000 8790.00 0.00001
8800.00 0.00000 8800.00 0.00001
8810.00 0.00000 8810.00 0.00001
8820.00 0.00000 8820.00 0.00001
8830.00 0.00000 8830.00 0.00001
8840.00 0.00000 8840.00 0.00001
8850.00 0.00000 8850.00 0.00001
8860.00 0.00000 8860.00 0.00001
8870.00 0.00000 8870.00 0.00001
8880.00 0.00000 8880.00 0.00001
8890.00 0.00000 8890.00 0.00000
8900.00 0.00000 8900.00 0.00001
8910.00 0.00000 8910.00 0.00001
8920.00 0.00000 8920.00 0.00001
8930.00 0.00000 8930.00 0.00000
8940.00 0.00000 8940.00 0.00001
8950.00 0.00000 8950.00 0.00001
8960.00 0.00000 8960.00 0.00001
8970.00 0.00000 8970.00 0.00001
8980.00 0.00000 8980.00 0.00000
8990.00 0.00000 8990.00 0.00000
9000.00 0.00000 9000.00 0.00000
9010.00 0.00000 9010.00 0.00001
9020.00 0.00000 9020.00 0.00000
9030.00 0.00000 9030.00 0.00000
9040.00 0.00000 9040.00 0.00000
9050.00 0.00000 9050.00 0.00000
9060.00 0.00000 9060.00 0.00000
9070.00 0.00000 9070.00 0.00000
9080.00 0.00000 9080.00 0.00001
9090.00 0.00000 9090.00 0.00000
9100.00 0.00000 9100.00 0.00000
9110.00 0.00000 9110.00 0.00000
......
ObservationSim/Instrument/data/throughputs/i_throughput.txt
View file @ 538b21ee
# i_css # i_cssc
# lambda_Angst throughput
2000.00 0.00000 2000.00 0.00000
2010.00 0.00000 2010.00 0.00000
2020.00 0.00000 2020.00 0.00000
...@@ -458,227 +459,227 @@ ...@@ -458,227 +459,227 @@
6560.00 0.00000 6560.00 0.00000
6570.00 0.00000 6570.00 0.00000
6580.00 0.00000 6580.00 0.00000
6590.00 0.00000 6590.00 0.00001
6600.00 0.00000 6600.00 0.00001
6610.00 0.00000 6610.00 0.00001
6620.00 0.00000 6620.00 0.00002
6630.00 0.00000 6630.00 0.00003
6640.00 0.00000 6640.00 0.00004
6650.00 0.00000 6650.00 0.00007
6660.00 0.00000 6660.00 0.00008
6670.00 0.00000 6670.00 0.00009
6680.00 0.00000 6680.00 0.00014
6690.00 0.00000 6690.00 0.00018
6700.00 0.00000 6700.00 0.00025
6710.00 0.00000 6710.00 0.00035
6720.00 0.00000 6720.00 0.00049
6730.00 0.00000 6730.00 0.00068
6740.00 0.00000 6740.00 0.00095
6750.00 0.00000 6750.00 0.00136
6760.00 0.00000 6760.00 0.00199
6770.00 0.00000 6770.00 0.00294
6780.00 0.00000 6780.00 0.00445
6790.00 0.00000 6790.00 0.00684
6800.00 0.00000 6800.00 0.01071
6810.00 0.00000 6810.00 0.01708
6820.00 0.00000 6820.00 0.02711
6830.00 0.00000 6830.00 0.04282
6840.00 0.00000 6840.00 0.06652
6850.00 0.00000 6850.00 0.09888
6860.00 0.04595 6860.00 0.14166
6870.00 0.13800 6870.00 0.19419
6880.00 0.23026 6880.00 0.25385
6890.00 0.32274 6890.00 0.31733
6900.00 0.41542 6900.00 0.37981
6910.00 0.50826 6910.00 0.43796
6920.00 0.60128 6920.00 0.48951
6930.00 0.64820 6930.00 0.53083
6940.00 0.64886 6940.00 0.56324
6950.00 0.64952 6950.00 0.58455
6960.00 0.65018 6960.00 0.59682
6970.00 0.65084 6970.00 0.60561
6980.00 0.65151 6980.00 0.60940
6990.00 0.65217 6990.00 0.60835
7000.00 0.65283 7000.00 0.60618
7010.00 0.65335 7010.00 0.60527
7020.00 0.65386 7020.00 0.60577
7030.00 0.65438 7030.00 0.60793
7040.00 0.65489 7040.00 0.61200
7050.00 0.65541 7050.00 0.61709
7060.00 0.65592 7060.00 0.62322
7070.00 0.65644 7070.00 0.63095
7080.00 0.65695 7080.00 0.63821
7090.00 0.65747 7090.00 0.64292
7100.00 0.65798 7100.00 0.64626
7110.00 0.65843 7110.00 0.64878
7120.00 0.65887 7120.00 0.64997
7130.00 0.65931 7130.00 0.65232
7140.00 0.65975 7140.00 0.65406
7150.00 0.66019 7150.00 0.65226
7160.00 0.66063 7160.00 0.65081
7170.00 0.66108 7170.00 0.65292
7180.00 0.66152 7180.00 0.65541
7190.00 0.66196 7190.00 0.65667
7200.00 0.66240 7200.00 0.65711
7210.00 0.66262 7210.00 0.65967
7220.00 0.66284 7220.00 0.66207
7230.00 0.66306 7230.00 0.66313
7240.00 0.66328 7240.00 0.66374
7250.00 0.66350 7250.00 0.66539
7260.00 0.66372 7260.00 0.66680
7270.00 0.66395 7270.00 0.66685
7280.00 0.66417 7280.00 0.66702
7290.00 0.66439 7290.00 0.66646
7300.00 0.66461 7300.00 0.66629
7310.00 0.66483 7310.00 0.66932
7320.00 0.66505 7320.00 0.67278
7330.00 0.66527 7330.00 0.67504
7340.00 0.66549 7340.00 0.67726
7350.00 0.66571 7350.00 0.67778
7360.00 0.66593 7360.00 0.67831
7370.00 0.66615 7370.00 0.68199
7380.00 0.66637 7380.00 0.68577
7390.00 0.66660 7390.00 0.68984
7400.00 0.66682 7400.00 0.69362
7410.00 0.66689 7410.00 0.69332
7420.00 0.66696 7420.00 0.69276
7430.00 0.66704 7430.00 0.69385
7440.00 0.66711 7440.00 0.69474
7450.00 0.66718 7450.00 0.69416
7460.00 0.66726 7460.00 0.69332
7470.00 0.66733 7470.00 0.69433
7480.00 0.66740 7480.00 0.69497
7490.00 0.66748 7490.00 0.69420
7500.00 0.66755 7500.00 0.69362
7510.00 0.66755 7510.00 0.69276
7520.00 0.66755 7520.00 0.69222
7530.00 0.66755 7530.00 0.69099
7540.00 0.66755 7540.00 0.69025
7550.00 0.66755 7550.00 0.69202
7560.00 0.66755 7560.00 0.69383
7570.00 0.66755 7570.00 0.69339
7580.00 0.66755 7580.00 0.69343
7590.00 0.66755 7590.00 0.69509
7600.00 0.66755 7600.00 0.69705
7610.00 0.66755 7610.00 0.69930
7620.00 0.66755 7620.00 0.70161
7630.00 0.66755 7630.00 0.70368
7640.00 0.66755 7640.00 0.70584
7650.00 0.66755 7650.00 0.70841
7660.00 0.66755 7660.00 0.71096
7670.00 0.66755 7670.00 0.71507
7680.00 0.66755 7680.00 0.71902
7690.00 0.66755 7690.00 0.71999
7700.00 0.66755 7700.00 0.72073
7710.00 0.66733 7710.00 0.72065
7720.00 0.66711 7720.00 0.72011
7730.00 0.66689 7730.00 0.71996
7740.00 0.66667 7740.00 0.71957
7750.00 0.66645 7750.00 0.71536
7760.00 0.66623 7760.00 0.71111
7770.00 0.66601 7770.00 0.71377
7780.00 0.66579 7780.00 0.71623
7790.00 0.66556 7790.00 0.71655
7800.00 0.66534 7800.00 0.71724
7810.00 0.66490 7810.00 0.71336
7820.00 0.66446 7820.00 0.70964
7830.00 0.66402 7830.00 0.70962
7840.00 0.66358 7840.00 0.70961
7850.00 0.66314 7850.00 0.71095
7860.00 0.66269 7860.00 0.71248
7870.00 0.66225 7870.00 0.71171
7880.00 0.66181 7880.00 0.71055
7890.00 0.66137 7890.00 0.70995
7900.00 0.66093 7900.00 0.70901
7910.00 0.66027 7910.00 0.70812
7920.00 0.65960 7920.00 0.70705
7930.00 0.65894 7930.00 0.70299
7940.00 0.65828 7940.00 0.69865
7950.00 0.65762 7950.00 0.69705
7960.00 0.65695 7960.00 0.69556
7970.00 0.65629 7970.00 0.69552
7980.00 0.65563 7980.00 0.69573
7990.00 0.65497 7990.00 0.69293
8000.00 0.65430 8000.00 0.69054
8010.00 0.65364 8010.00 0.68913
8020.00 0.65298 8020.00 0.68773
8030.00 0.65232 8030.00 0.68869
8040.00 0.65165 8040.00 0.68958
8050.00 0.65099 8050.00 0.68922
8060.00 0.65033 8060.00 0.68897
8070.00 0.64967 8070.00 0.69058
8080.00 0.64900 8080.00 0.69198
8090.00 0.64834 8090.00 0.69425
8100.00 0.64768 8100.00 0.69658
8110.00 0.64665 8110.00 0.69466
8120.00 0.64562 8120.00 0.69258
8130.00 0.64459 8130.00 0.69134
8140.00 0.64356 8140.00 0.69023
8150.00 0.64253 8150.00 0.68944
8160.00 0.64150 8160.00 0.68843
8170.00 0.64047 8170.00 0.68879
8180.00 0.63944 8180.00 0.68882
8190.00 0.63841 8190.00 0.68806
8200.00 0.63738 8200.00 0.68653
8210.00 0.63605 8210.00 0.68482
8220.00 0.63473 8220.00 0.68292
8230.00 0.63340 8230.00 0.67639
8240.00 0.63208 8240.00 0.67012
8250.00 0.63075 8250.00 0.67081
8260.00 0.62943 8260.00 0.67174
8270.00 0.62810 8270.00 0.66608
8280.00 0.62678 8280.00 0.66080
8290.00 0.62545 8290.00 0.66262
8300.00 0.62413 8300.00 0.66391
8310.00 0.62251 8310.00 0.65922
8320.00 0.58640 8320.00 0.65126
8330.00 0.51606 8330.00 0.64064
8340.00 0.44608 8340.00 0.62381
8350.00 0.37646 8350.00 0.59850
8360.00 0.30721 8360.00 0.56510
8370.00 0.23831 8370.00 0.52167
8380.00 0.16977 8380.00 0.46983
8390.00 0.10159 8390.00 0.41697
8400.00 0.03377 8400.00 0.36189
8410.00 0.00000 8410.00 0.30067
8420.00 0.00000 8420.00 0.24099
8430.00 0.00000 8430.00 0.18838
8440.00 0.00000 8440.00 0.13948
8450.00 0.00000 8450.00 0.09907
8460.00 0.00000 8460.00 0.06956
8470.00 0.00000 8470.00 0.04814
8480.00 0.00000 8480.00 0.03312
8490.00 0.00000 8490.00 0.02220
8500.00 0.00000 8500.00 0.01492
8510.00 0.00000 8510.00 0.01022
8520.00 0.00000 8520.00 0.00717
8530.00 0.00000 8530.00 0.00507
8540.00 0.00000 8540.00 0.00360
8550.00 0.00000 8550.00 0.00259
8560.00 0.00000 8560.00 0.00188
8570.00 0.00000 8570.00 0.00137
8580.00 0.00000 8580.00 0.00101
8590.00 0.00000 8590.00 0.00078
8600.00 0.00000 8600.00 0.00058
8610.00 0.00000 8610.00 0.00046
8620.00 0.00000 8620.00 0.00036
8630.00 0.00000 8630.00 0.00028
8640.00 0.00000 8640.00 0.00021
8650.00 0.00000 8650.00 0.00017
8660.00 0.00000 8660.00 0.00012
8670.00 0.00000 8670.00 0.00011
8680.00 0.00000 8680.00 0.00008
8690.00 0.00000 8690.00 0.00006
8700.00 0.00000 8700.00 0.00005
8710.00 0.00000 8710.00 0.00004
8720.00 0.00000 8720.00 0.00002
8730.00 0.00000 8730.00 0.00003
8740.00 0.00000 8740.00 0.00002
8750.00 0.00000 8750.00 0.00002
8760.00 0.00000 8760.00 0.00001
8770.00 0.00000 8770.00 0.00000
8780.00 0.00000 8780.00 0.00001
8790.00 0.00000 8790.00 0.00001
8800.00 0.00000 8800.00 0.00000
8810.00 0.00000 8810.00 0.00000
8820.00 0.00000 8820.00 0.00000
......
ObservationSim/Instrument/data/throughputs/nuv_throughput.txt
View file @ 538b21ee
# NUV_css # NUV_cssc
# lambda_Angst throughput
2000.00 0.00000 2000.00 0.00000
2010.00 0.00000 2010.00 0.00000
2020.00 0.00000 2020.00 0.00000
...@@ -49,79 +50,79 @@ ...@@ -49,79 +50,79 @@
2470.00 0.00000 2470.00 0.00000
2480.00 0.00000 2480.00 0.00000
2490.00 0.00000 2490.00 0.00000
2500.00 0.02686 2500.00 0.00000
2510.00 0.08110 2510.00 0.02890
2520.00 0.13603 2520.00 0.07842
2530.00 0.16427 2530.00 0.13705
2540.00 0.16530 2540.00 0.16934
2550.00 0.16634 2550.00 0.17568
2560.00 0.16730 2560.00 0.18201
2570.00 0.16827 2570.00 0.17908
2580.00 0.16924 2580.00 0.17612
2590.00 0.17021 2590.00 0.17743
2600.00 0.17118 2600.00 0.17874
2610.00 0.17154 2610.00 0.18320
2620.00 0.17190 2620.00 0.18767
2630.00 0.17225 2630.00 0.18694
2640.00 0.17261 2640.00 0.18622
2650.00 0.17297 2650.00 0.18415
2660.00 0.17347 2660.00 0.18222
2670.00 0.17396 2670.00 0.17916
2680.00 0.17446 2680.00 0.17609
2690.00 0.17496 2690.00 0.17934
2700.00 0.17545 2700.00 0.18261
2710.00 0.17685 2710.00 0.17972
2720.00 0.17826 2720.00 0.17677
2730.00 0.17966 2730.00 0.17248
2740.00 0.18107 2740.00 0.16810
2750.00 0.18247 2750.00 0.17060
2760.00 0.18444 2760.00 0.17365
2770.00 0.18641 2770.00 0.17828
2780.00 0.18838 2780.00 0.18296
2790.00 0.19036 2790.00 0.18927
2800.00 0.19234 2800.00 0.19566
2810.00 0.19411 2810.00 0.20374
2820.00 0.19589 2820.00 0.21194
2830.00 0.19767 2830.00 0.21147
2840.00 0.19945 2840.00 0.21098
2850.00 0.20123 2850.00 0.21570
2860.00 0.20239 2860.00 0.21978
2870.00 0.20387 2870.00 0.22200
2880.00 0.20558 2880.00 0.22424
2890.00 0.20729 2890.00 0.22634
2900.00 0.20902 2900.00 0.22844
2910.00 0.20996 2910.00 0.22980
2920.00 0.21091 2920.00 0.23116
2930.00 0.21185 2930.00 0.22575
2940.00 0.21280 2940.00 0.22034
2950.00 0.21375 2950.00 0.21453
2960.00 0.21448 2960.00 0.20850
2970.00 0.21522 2970.00 0.20439
2980.00 0.21595 2980.00 0.20027
2990.00 0.21669 2990.00 0.20086
3000.00 0.21742 3000.00 0.20144
3010.00 0.21808 3010.00 0.20298
3020.00 0.21874 3020.00 0.20452
3030.00 0.21940 3030.00 0.21077
3040.00 0.22006 3040.00 0.21701
3050.00 0.22071 3050.00 0.21982
3060.00 0.22137 3060.00 0.22262
3070.00 0.22203 3070.00 0.22042
3080.00 0.22268 3080.00 0.21822
3090.00 0.22334 3090.00 0.22159
3100.00 0.22400 3100.00 0.22495
3110.00 0.22473 3110.00 0.22649
3120.00 0.22546 3120.00 0.22802
3130.00 0.22619 3130.00 0.22460
3140.00 0.22692 3140.00 0.22117
3150.00 0.22765 3150.00 0.21898
3160.00 0.22823 3160.00 0.21664
3170.00 0.22880 3170.00 0.22178
3180.00 0.22938 3180.00 0.22692
3190.00 0.22995 3190.00 0.22901
3200.00 0.17289 3200.00 0.17332
3210.00 0.11543 3210.00 0.11541
3220.00 0.05780 3220.00 0.05763
3230.00 0.00000 3230.00 0.00000
3240.00 0.00000 3240.00 0.00000
3250.00 0.00000 3250.00 0.00000
......
ObservationSim/Instrument/data/throughputs/r_throughput.txt
View file @ 538b21ee
# r_css # r_cssc
# lambda_Angst throughput
2000.00 0.00000 2000.00 0.00000
2010.00 0.00000 2010.00 0.00000
2020.00 0.00000 2020.00 0.00000
...@@ -311,12 +312,12 @@ ...@@ -311,12 +312,12 @@
5090.00 0.00000 5090.00 0.00000
5100.00 0.00000 5100.00 0.00000
5110.00 0.00000 5110.00 0.00000
5120.00 0.00000 5120.00 0.00001
5130.00 0.00000 5130.00 0.00001
5140.00 0.00000 5140.00 0.00001
5150.00 0.00000 5150.00 0.00001
5160.00 0.00000 5160.00 0.00001
5170.00 0.00000 5170.00 0.00001
5180.00 0.00000 5180.00 0.00000
5190.00 0.00000 5190.00 0.00000
5200.00 0.00000 5200.00 0.00000
...@@ -329,228 +330,228 @@ ...@@ -329,228 +330,228 @@
5270.00 0.00000 5270.00 0.00000
5280.00 0.00000 5280.00 0.00000
5290.00 0.00000 5290.00 0.00000
5300.00 0.00000 5300.00 0.00001
5310.00 0.00000 5310.00 0.00001
5320.00 0.00000 5320.00 0.00001
5330.00 0.00000 5330.00 0.00002
5340.00 0.00000 5340.00 0.00003
5350.00 0.00000 5350.00 0.00005
5360.00 0.00000 5360.00 0.00009
5370.00 0.00000 5370.00 0.00016
5380.00 0.00000 5380.00 0.00031
5390.00 0.00000 5390.00 0.00066
5400.00 0.00000 5400.00 0.00150
5410.00 0.00000 5410.00 0.00395
5420.00 0.00000 5420.00 0.01166
5430.00 0.00000 5430.00 0.03307
5440.00 0.00000 5440.00 0.07854
5450.00 0.00000 5450.00 0.14926
5460.00 0.00000 5460.00 0.23899
5470.00 0.11125 5470.00 0.33256
5480.00 0.22258 5480.00 0.41052
5490.00 0.33397 5490.00 0.46942
5500.00 0.44544 5500.00 0.51316
5510.00 0.55704 5510.00 0.54712
5520.00 0.66874 5520.00 0.57754
5530.00 0.66902 5530.00 0.60334
5540.00 0.66931 5540.00 0.62365
5550.00 0.66960 5550.00 0.63930
5560.00 0.66989 5560.00 0.64902
5570.00 0.67018 5570.00 0.65482
5580.00 0.67046 5580.00 0.65288
5590.00 0.67075 5590.00 0.64276
5600.00 0.67104 5600.00 0.62930
5610.00 0.67104 5610.00 0.61532
5620.00 0.67104 5620.00 0.60637
5630.00 0.67104 5630.00 0.60599
5640.00 0.67104 5640.00 0.61270
5650.00 0.67104 5650.00 0.62476
5660.00 0.67104 5660.00 0.63883
5670.00 0.67104 5670.00 0.65060
5680.00 0.67104 5680.00 0.65817
5690.00 0.67104 5690.00 0.66197
5700.00 0.67104 5700.00 0.66176
5710.00 0.67104 5710.00 0.65954
5720.00 0.67104 5720.00 0.65814
5730.00 0.67104 5730.00 0.66021
5740.00 0.67104 5740.00 0.66449
5750.00 0.67104 5750.00 0.66846
5760.00 0.67104 5760.00 0.67119
5770.00 0.67104 5770.00 0.67199
5780.00 0.67104 5780.00 0.66919
5790.00 0.67104 5790.00 0.66394
5800.00 0.67104 5800.00 0.65767
5810.00 0.67104 5810.00 0.65139
5820.00 0.67104 5820.00 0.64820
5830.00 0.67104 5830.00 0.65106
5840.00 0.67104 5840.00 0.65767
5850.00 0.67104 5850.00 0.66682
5860.00 0.67104 5860.00 0.67617
5870.00 0.67104 5870.00 0.68388
5880.00 0.67104 5880.00 0.68869
5890.00 0.67104 5890.00 0.68975
5900.00 0.67104 5900.00 0.68857
5910.00 0.67082 5910.00 0.68569
5920.00 0.67061 5920.00 0.68383
5930.00 0.67039 5930.00 0.68380
5940.00 0.67018 5940.00 0.68630
5950.00 0.66996 5950.00 0.69038
5960.00 0.66974 5960.00 0.69529
5970.00 0.66953 5970.00 0.70020
5980.00 0.66931 5980.00 0.70338
5990.00 0.66910 5990.00 0.70456
6000.00 0.66888 6000.00 0.70354
6010.00 0.66852 6010.00 0.70066
6020.00 0.66816 6020.00 0.69712
6030.00 0.66780 6030.00 0.69494
6040.00 0.66744 6040.00 0.69399
6050.00 0.66708 6050.00 0.69320
6060.00 0.66672 6060.00 0.69388
6070.00 0.66636 6070.00 0.69624
6080.00 0.66600 6080.00 0.69898
6090.00 0.66564 6090.00 0.70077
6100.00 0.66528 6100.00 0.70221
6110.00 0.66506 6110.00 0.70386
6120.00 0.66485 6120.00 0.70518
6130.00 0.66463 6130.00 0.70747
6140.00 0.66442 6140.00 0.70999
6150.00 0.66420 6150.00 0.71149
6160.00 0.66398 6160.00 0.71301
6170.00 0.66377 6170.00 0.71518
6180.00 0.66355 6180.00 0.71703
6190.00 0.66334 6190.00 0.71840
6200.00 0.66312 6200.00 0.71953
6210.00 0.66290 6210.00 0.72052
6220.00 0.66269 6220.00 0.72152
6230.00 0.66247 6230.00 0.72192
6240.00 0.66226 6240.00 0.72250
6250.00 0.66204 6250.00 0.72269
6260.00 0.66182 6260.00 0.72254
6270.00 0.66161 6270.00 0.72336
6280.00 0.66139 6280.00 0.72378
6290.00 0.66118 6290.00 0.72403
6300.00 0.66096 6300.00 0.72409
6310.00 0.66067 6310.00 0.72262
6320.00 0.66038 6320.00 0.72125
6330.00 0.66010 6330.00 0.72066
6340.00 0.65981 6340.00 0.72042
6350.00 0.65952 6350.00 0.72120
6360.00 0.65923 6360.00 0.72182
6370.00 0.65894 6370.00 0.72298
6380.00 0.65866 6380.00 0.72341
6390.00 0.65837 6390.00 0.71960
6400.00 0.65808 6400.00 0.71461
6410.00 0.65758 6410.00 0.71000
6420.00 0.65707 6420.00 0.70473
6430.00 0.65657 6430.00 0.69886
6440.00 0.65606 6440.00 0.69369
6450.00 0.65556 6450.00 0.68920
6460.00 0.65506 6460.00 0.68565
6470.00 0.65455 6470.00 0.68573
6480.00 0.65405 6480.00 0.68694
6490.00 0.65354 6490.00 0.68660
6500.00 0.65304 6500.00 0.68667
6510.00 0.65225 6510.00 0.68760
6520.00 0.65146 6520.00 0.68845
6530.00 0.65066 6530.00 0.68866
6540.00 0.64987 6540.00 0.68844
6550.00 0.64908 6550.00 0.68662
6560.00 0.64829 6560.00 0.68462
6570.00 0.64750 6570.00 0.68347
6580.00 0.64670 6580.00 0.68216
6590.00 0.64591 6590.00 0.68049
6600.00 0.64512 6600.00 0.67869
6610.00 0.64433 6610.00 0.67935
6620.00 0.64354 6620.00 0.67989
6630.00 0.64274 6630.00 0.67634
6640.00 0.64195 6640.00 0.67264
6650.00 0.64116 6650.00 0.67151
6660.00 0.64037 6660.00 0.67007
6670.00 0.63958 6670.00 0.66786
6680.00 0.63878 6680.00 0.66532
6690.00 0.63799 6690.00 0.66222
6700.00 0.63720 6700.00 0.65913
6710.00 0.63670 6710.00 0.65660
6720.00 0.63619 6720.00 0.65451
6730.00 0.63569 6730.00 0.65243
6740.00 0.63518 6740.00 0.65085
6750.00 0.63468 6750.00 0.65020
6760.00 0.63418 6760.00 0.65004
6770.00 0.63367 6770.00 0.65077
6780.00 0.63317 6780.00 0.65145
6790.00 0.63266 6790.00 0.65186
6800.00 0.63216 6800.00 0.65081
6810.00 0.63115 6810.00 0.64842
6820.00 0.63014 6820.00 0.64393
6830.00 0.62914 6830.00 0.63715
6840.00 0.62813 6840.00 0.62891
6850.00 0.62712 6850.00 0.61936
6860.00 0.62611 6860.00 0.61129
6870.00 0.62510 6870.00 0.60651
6880.00 0.57952 6880.00 0.60553
6890.00 0.48957 6890.00 0.60666
6900.00 0.39991 6900.00 0.60476
6910.00 0.31057 6910.00 0.59163
6920.00 0.22150 6920.00 0.55628
6930.00 0.13270 6930.00 0.49411
6940.00 0.04417 6940.00 0.40862
6950.00 0.00000 6950.00 0.30991
6960.00 0.00000 6960.00 0.21906
6970.00 0.00000 6970.00 0.14420
6980.00 0.00000 6980.00 0.09015
6990.00 0.00000 6990.00 0.05548
7000.00 0.00000 7000.00 0.03389
7010.00 0.00000 7010.00 0.02119
7020.00 0.00000 7020.00 0.01362
7030.00 0.00000 7030.00 0.00897
7040.00 0.00000 7040.00 0.00608
7050.00 0.00000 7050.00 0.00421
7060.00 0.00000 7060.00 0.00296
7070.00 0.00000 7070.00 0.00216
7080.00 0.00000 7080.00 0.00158
7090.00 0.00000 7090.00 0.00118
7100.00 0.00000 7100.00 0.00089
7110.00 0.00000 7110.00 0.00068
7120.00 0.00000 7120.00 0.00053
7130.00 0.00000 7130.00 0.00042
7140.00 0.00000 7140.00 0.00033
7150.00 0.00000 7150.00 0.00026
7160.00 0.00000 7160.00 0.00021
7170.00 0.00000 7170.00 0.00017
7180.00 0.00000 7180.00 0.00014
7190.00 0.00000 7190.00 0.00012
7200.00 0.00000 7200.00 0.00010
7210.00 0.00000 7210.00 0.00008
7220.00 0.00000 7220.00 0.00007
7230.00 0.00000 7230.00 0.00006
7240.00 0.00000 7240.00 0.00005
7250.00 0.00000 7250.00 0.00004
7260.00 0.00000 7260.00 0.00004
7270.00 0.00000 7270.00 0.00003
7280.00 0.00000 7280.00 0.00003
7290.00 0.00000 7290.00 0.00003
7300.00 0.00000 7300.00 0.00002
7310.00 0.00000 7310.00 0.00002
7320.00 0.00000 7320.00 0.00002
7330.00 0.00000 7330.00 0.00002
7340.00 0.00000 7340.00 0.00001
7350.00 0.00000 7350.00 0.00001
7360.00 0.00000 7360.00 0.00001
7370.00 0.00000 7370.00 0.00001
7380.00 0.00000 7380.00 0.00001
7390.00 0.00000 7390.00 0.00001
7400.00 0.00000 7400.00 0.00001
7410.00 0.00000 7410.00 0.00001
7420.00 0.00000 7420.00 0.00001
7430.00 0.00000 7430.00 0.00001
7440.00 0.00000 7440.00 0.00001
7450.00 0.00000 7450.00 0.00001
7460.00 0.00000 7460.00 0.00001
7470.00 0.00000 7470.00 0.00001
7480.00 0.00000 7480.00 0.00001
7490.00 0.00000 7490.00 0.00001
7500.00 0.00000 7500.00 0.00001
7510.00 0.00000 7510.00 0.00001
7520.00 0.00000 7520.00 0.00000
7530.00 0.00000 7530.00 0.00000
7540.00 0.00000 7540.00 0.00000
...@@ -599,65 +600,65 @@ ...@@ -599,65 +600,65 @@
7970.00 0.00000 7970.00 0.00000
7980.00 0.00000 7980.00 0.00000
7990.00 0.00000 7990.00 0.00000
8000.00 0.00000 8000.00 0.00001
8010.00 0.00000 8010.00 0.00001
8020.00 0.00000 8020.00 0.00001
8030.00 0.00000 8030.00 0.00001
8040.00 0.00000 8040.00 0.00001
8050.00 0.00000 8050.00 0.00001
8060.00 0.00000 8060.00 0.00001
8070.00 0.00000 8070.00 0.00000
8080.00 0.00000 8080.00 0.00000
8090.00 0.00000 8090.00 0.00001
8100.00 0.00000 8100.00 0.00001
8110.00 0.00000 8110.00 0.00000
8120.00 0.00000 8120.00 0.00001
8130.00 0.00000 8130.00 0.00001
8140.00 0.00000 8140.00 0.00001
8150.00 0.00000 8150.00 0.00000
8160.00 0.00000 8160.00 0.00000
8170.00 0.00000 8170.00 0.00001
8180.00 0.00000 8180.00 0.00001
8190.00 0.00000 8190.00 0.00001
8200.00 0.00000 8200.00 0.00001
8210.00 0.00000 8210.00 0.00001
8220.00 0.00000 8220.00 0.00001
8230.00 0.00000 8230.00 0.00001
8240.00 0.00000 8240.00 0.00001
8250.00 0.00000 8250.00 0.00001
8260.00 0.00000 8260.00 0.00001
8270.00 0.00000 8270.00 0.00002
8280.00 0.00000 8280.00 0.00001
8290.00 0.00000 8290.00 0.00001
8300.00 0.00000 8300.00 0.00001
8310.00 0.00000 8310.00 0.00001
8320.00 0.00000 8320.00 0.00001
8330.00 0.00000 8330.00 0.00001
8340.00 0.00000 8340.00 0.00001
8350.00 0.00000 8350.00 0.00001
8360.00 0.00000 8360.00 0.00001
8370.00 0.00000 8370.00 0.00001
8380.00 0.00000 8380.00 0.00001
8390.00 0.00000 8390.00 0.00001
8400.00 0.00000 8400.00 0.00000
8410.00 0.00000 8410.00 0.00000
8420.00 0.00000 8420.00 0.00001
8430.00 0.00000 8430.00 0.00001
8440.00 0.00000 8440.00 0.00001
8450.00 0.00000 8450.00 0.00001
8460.00 0.00000 8460.00 0.00000
8470.00 0.00000 8470.00 0.00001
8480.00 0.00000 8480.00 0.00001
8490.00 0.00000 8490.00 0.00001
8500.00 0.00000 8500.00 0.00001
8510.00 0.00000 8510.00 0.00000
8520.00 0.00000 8520.00 0.00001
8530.00 0.00000 8530.00 0.00000
8540.00 0.00000 8540.00 0.00000
8550.00 0.00000 8550.00 0.00000
8560.00 0.00000 8560.00 0.00000
8570.00 0.00000 8570.00 0.00000
8580.00 0.00000 8580.00 0.00001
8590.00 0.00000 8590.00 0.00000
8600.00 0.00000 8600.00 0.00000
8610.00 0.00000 8610.00 0.00000
...@@ -665,17 +666,17 @@ ...@@ -665,17 +666,17 @@
8630.00 0.00000 8630.00 0.00000
8640.00 0.00000 8640.00 0.00000
8650.00 0.00000 8650.00 0.00000
8660.00 0.00000 8660.00 0.00001
8670.00 0.00000 8670.00 0.00001
8680.00 0.00000 8680.00 0.00000
8690.00 0.00000 8690.00 0.00000
8700.00 0.00000 8700.00 0.00001
8710.00 0.00000 8710.00 0.00000
8720.00 0.00000 8720.00 0.00000
8730.00 0.00000 8730.00 0.00001
8740.00 0.00000 8740.00 0.00000
8750.00 0.00000 8750.00 0.00000
8760.00 0.00000 8760.00 0.00001
8770.00 0.00000 8770.00 0.00000
8780.00 0.00000 8780.00 0.00000
8790.00 0.00000 8790.00 0.00000
......
ObservationSim/Instrument/data/throughputs/u_throughput.txt
View file @ 538b21ee
# u_css # u_cssc
# lambda_Angst throughput
2000.00 0.00000 2000.00 0.00000
2010.00 0.00000 2010.00 0.00000
2020.00 0.00000 2020.00 0.00000
...@@ -106,124 +107,124 @@ ...@@ -106,124 +107,124 @@
3040.00 0.00000 3040.00 0.00000
3050.00 0.00000 3050.00 0.00000
3060.00 0.00000 3060.00 0.00000
3070.00 0.00000 3070.00 0.00001
3080.00 0.00000 3080.00 0.00001
3090.00 0.00000 3090.00 0.00003
3100.00 0.00000 3100.00 0.00007
3110.00 0.00000 3110.00 0.00014
3120.00 0.00000 3120.00 0.00028
3130.00 0.00000 3130.00 0.00056
3140.00 0.00000 3140.00 0.00110
3150.00 0.00000 3150.00 0.00223
3160.00 0.00000 3160.00 0.00472
3170.00 0.00000 3170.00 0.01042
3180.00 0.06881 3180.00 0.02190
3190.00 0.13797 3190.00 0.04190
3200.00 0.20747 3200.00 0.08056
3210.00 0.27703 3210.00 0.12185
3220.00 0.27743 3220.00 0.16669
3230.00 0.27782 3230.00 0.20778
3240.00 0.27822 3240.00 0.23999
3250.00 0.27861 3250.00 0.26389
3260.00 0.27909 3260.00 0.27898
3270.00 0.27957 3270.00 0.29519
3280.00 0.28005 3280.00 0.30854
3290.00 0.28052 3290.00 0.32894
3300.00 0.28100 3300.00 0.34872
3310.00 0.28137 3310.00 0.35846
3320.00 0.28174 3320.00 0.36782
3330.00 0.28211 3330.00 0.36385
3340.00 0.28247 3340.00 0.36002
3350.00 0.28283 3350.00 0.35646
3360.00 0.28309 3360.00 0.35286
3370.00 0.28335 3370.00 0.35634
3380.00 0.28360 3380.00 0.36011
3390.00 0.28385 3390.00 0.36259
3400.00 0.28410 3400.00 0.36459
3410.00 0.28424 3410.00 0.36476
3420.00 0.28437 3420.00 0.36386
3430.00 0.28451 3430.00 0.35734
3440.00 0.28464 3440.00 0.35107
3450.00 0.28476 3450.00 0.34668
3460.00 0.28488 3460.00 0.34357
3470.00 0.28500 3470.00 0.34944
3480.00 0.28511 3480.00 0.35524
3490.00 0.28522 3490.00 0.35529
3500.00 0.28532 3500.00 0.35436
3510.00 0.28552 3510.00 0.35182
3520.00 0.28572 3520.00 0.34861
3530.00 0.28592 3530.00 0.34490
3540.00 0.28611 3540.00 0.34165
3550.00 0.28630 3550.00 0.34203
3560.00 0.28659 3560.00 0.34307
3570.00 0.28688 3570.00 0.34341
3580.00 0.28716 3580.00 0.34401
3590.00 0.28744 3590.00 0.34655
3600.00 0.28761 3600.00 0.34841
3610.00 0.28688 3610.00 0.35149
3620.00 0.28615 3620.00 0.35432
3630.00 0.28541 3630.00 0.35415
3640.00 0.28467 3640.00 0.35463
3650.00 0.28393 3650.00 0.35643
3660.00 0.28382 3660.00 0.35858
3670.00 0.28372 3670.00 0.36209
3680.00 0.28361 3680.00 0.36554
3690.00 0.28350 3690.00 0.36682
3700.00 0.28339 3700.00 0.36791
3710.00 0.28468 3710.00 0.36581
3720.00 0.28598 3720.00 0.36333
3730.00 0.28727 3730.00 0.36299
3740.00 0.28857 3740.00 0.36246
3750.00 0.28987 3750.00 0.36867
3760.00 0.29161 3760.00 0.37511
3770.00 0.29335 3770.00 0.38015
3780.00 0.29510 3780.00 0.38586
3790.00 0.29685 3790.00 0.38633
3800.00 0.29860 3800.00 0.38714
3810.00 0.29981 3810.00 0.38734
3820.00 0.30103 3820.00 0.38673
3830.00 0.30224 3830.00 0.38847
3840.00 0.30346 3840.00 0.39011
3850.00 0.30468 3850.00 0.39062
3860.00 0.30590 3860.00 0.39202
3870.00 0.30712 3870.00 0.39367
3880.00 0.30835 3880.00 0.39491
3890.00 0.30958 3890.00 0.39554
3900.00 0.31081 3900.00 0.39594
3910.00 0.31316 3910.00 0.39508
3920.00 0.31551 3920.00 0.39452
3930.00 0.31786 3930.00 0.39304
3940.00 0.32022 3940.00 0.38925
3950.00 0.32259 3950.00 0.38325
3960.00 0.32485 3960.00 0.36781
3970.00 0.32712 3970.00 0.33940
3980.00 0.32939 3980.00 0.29857
3990.00 0.33166 3990.00 0.24542
4000.00 0.33394 4000.00 0.18812
4010.00 0.33601 4010.00 0.13345
4020.00 0.33807 4020.00 0.08722
4030.00 0.34014 4030.00 0.05312
4040.00 0.30799 4040.00 0.03033
4050.00 0.24101 4050.00 0.01673
4060.00 0.17296 4060.00 0.00939
4070.00 0.10427 4070.00 0.00539
4080.00 0.03492 4080.00 0.00315
4090.00 0.00000 4090.00 0.00188
4100.00 0.00000 4100.00 0.00115
4110.00 0.00000 4110.00 0.00074
4120.00 0.00000 4120.00 0.00049
4130.00 0.00000 4130.00 0.00033
4140.00 0.00000 4140.00 0.00023
4150.00 0.00000 4150.00 0.00016
4160.00 0.00000 4160.00 0.00011
4170.00 0.00000 4170.00 0.00008
4180.00 0.00000 4180.00 0.00005
4190.00 0.00000 4190.00 0.00004
4200.00 0.00000 4200.00 0.00002
4210.00 0.00000 4210.00 0.00002
4220.00 0.00000 4220.00 0.00001
4230.00 0.00000 4230.00 0.00001
4240.00 0.00000 4240.00 0.00001
4250.00 0.00000 4250.00 0.00000
4260.00 0.00000 4260.00 0.00000
4270.00 0.00000 4270.00 0.00000
...@@ -543,23 +544,23 @@ ...@@ -543,23 +544,23 @@
7410.00 0.00000 7410.00 0.00000
7420.00 0.00000 7420.00 0.00000
7430.00 0.00000 7430.00 0.00000
7440.00 0.00000 7440.00 0.00001
7450.00 0.00000 7450.00 0.00001
7460.00 0.00000 7460.00 0.00001
7470.00 0.00000 7470.00 0.00001
7480.00 0.00000 7480.00 0.00001
7490.00 0.00000 7490.00 0.00001
7500.00 0.00000 7500.00 0.00001
7510.00 0.00000 7510.00 0.00001
7520.00 0.00000 7520.00 0.00001
7530.00 0.00000 7530.00 0.00001
7540.00 0.00000 7540.00 0.00002
7550.00 0.00000 7550.00 0.00002
7560.00 0.00000 7560.00 0.00001
7570.00 0.00000 7570.00 0.00001
7580.00 0.00000 7580.00 0.00001
7590.00 0.00000 7590.00 0.00001
7600.00 0.00000 7600.00 0.00001
7610.00 0.00000 7610.00 0.00000
7620.00 0.00000 7620.00 0.00000
7630.00 0.00000 7630.00 0.00000
...@@ -575,19 +576,19 @@ ...@@ -575,19 +576,19 @@
7730.00 0.00000 7730.00 0.00000
7740.00 0.00000 7740.00 0.00000
7750.00 0.00000 7750.00 0.00000
7760.00 0.00000 7760.00 0.00001
7770.00 0.00000 7770.00 0.00001
7780.00 0.00000 7780.00 0.00002
7790.00 0.00000 7790.00 0.00004
7800.00 0.00000 7800.00 0.00007
7810.00 0.00000 7810.00 0.00010
7820.00 0.00000 7820.00 0.00010
7830.00 0.00000 7830.00 0.00009
7840.00 0.00000 7840.00 0.00006
7850.00 0.00000 7850.00 0.00003
7860.00 0.00000 7860.00 0.00001
7870.00 0.00000 7870.00 0.00001
7880.00 0.00000 7880.00 0.00001
7890.00 0.00000 7890.00 0.00000
7900.00 0.00000 7900.00 0.00000
7910.00 0.00000 7910.00 0.00000
...@@ -599,140 +600,140 @@ ...@@ -599,140 +600,140 @@
7970.00 0.00000 7970.00 0.00000
7980.00 0.00000 7980.00 0.00000
7990.00 0.00000 7990.00 0.00000
8000.00 0.00000 8000.00 0.00003
8010.00 0.00000 8010.00 0.00003
8020.00 0.00000 8020.00 0.00003
8030.00 0.00000 8030.00 0.00003
8040.00 0.00000 8040.00 0.00002
8050.00 0.00000 8050.00 0.00003
8060.00 0.00000 8060.00 0.00003
8070.00 0.00000 8070.00 0.00003
8080.00 0.00000 8080.00 0.00003
8090.00 0.00000 8090.00 0.00002
8100.00 0.00000 8100.00 0.00003
8110.00 0.00000 8110.00 0.00002
8120.00 0.00000 8120.00 0.00002
8130.00 0.00000 8130.00 0.00002
8140.00 0.00000 8140.00 0.00003
8150.00 0.00000 8150.00 0.00003
8160.00 0.00000 8160.00 0.00002
8170.00 0.00000 8170.00 0.00002
8180.00 0.00000 8180.00 0.00002
8190.00 0.00000 8190.00 0.00002
8200.00 0.00000 8200.00 0.00002
8210.00 0.00000 8210.00 0.00002
8220.00 0.00000 8220.00 0.00002
8230.00 0.00000 8230.00 0.00002
8240.00 0.00000 8240.00 0.00002
8250.00 0.00000 8250.00 0.00002
8260.00 0.00000 8260.00 0.00002
8270.00 0.00000 8270.00 0.00002
8280.00 0.00000 8280.00 0.00002
8290.00 0.00000 8290.00 0.00002
8300.00 0.00000 8300.00 0.00002
8310.00 0.00000 8310.00 0.00002
8320.00 0.00000 8320.00 0.00002
8330.00 0.00000 8330.00 0.00002
8340.00 0.00000 8340.00 0.00002
8350.00 0.00000 8350.00 0.00002
8360.00 0.00000 8360.00 0.00002
8370.00 0.00000 8370.00 0.00002
8380.00 0.00000 8380.00 0.00002
8390.00 0.00000 8390.00 0.00002
8400.00 0.00000 8400.00 0.00002
8410.00 0.00000 8410.00 0.00002
8420.00 0.00000 8420.00 0.00002
8430.00 0.00000 8430.00 0.00002
8440.00 0.00000 8440.00 0.00002
8450.00 0.00000 8450.00 0.00002
8460.00 0.00000 8460.00 0.00002
8470.00 0.00000 8470.00 0.00002
8480.00 0.00000 8480.00 0.00002
8490.00 0.00000 8490.00 0.00003
8500.00 0.00000 8500.00 0.00003
8510.00 0.00000 8510.00 0.00003
8520.00 0.00000 8520.00 0.00003
8530.00 0.00000 8530.00 0.00003
8540.00 0.00000 8540.00 0.00003
8550.00 0.00000 8550.00 0.00003
8560.00 0.00000 8560.00 0.00003
8570.00 0.00000 8570.00 0.00003
8580.00 0.00000 8580.00 0.00003
8590.00 0.00000 8590.00 0.00003
8600.00 0.00000 8600.00 0.00003
8610.00 0.00000 8610.00 0.00003
8620.00 0.00000 8620.00 0.00003
8630.00 0.00000 8630.00 0.00004
8640.00 0.00000 8640.00 0.00003
8650.00 0.00000 8650.00 0.00003
8660.00 0.00000 8660.00 0.00003
8670.00 0.00000 8670.00 0.00003
8680.00 0.00000 8680.00 0.00003
8690.00 0.00000 8690.00 0.00003
8700.00 0.00000 8700.00 0.00003
8710.00 0.00000 8710.00 0.00003
8720.00 0.00000 8720.00 0.00003
8730.00 0.00000 8730.00 0.00002
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8770.00 0.00000 8770.00 0.00002
8780.00 0.00000 8780.00 0.00002
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8800.00 0.00000 8800.00 0.00002
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8820.00 0.00000 8820.00 0.00002
8830.00 0.00000 8830.00 0.00002
8840.00 0.00000 8840.00 0.00002
8850.00 0.00000 8850.00 0.00002
8860.00 0.00000 8860.00 0.00002
8870.00 0.00000 8870.00 0.00002
8880.00 0.00000 8880.00 0.00002
8890.00 0.00000 8890.00 0.00002
8900.00 0.00000 8900.00 0.00002
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8950.00 0.00000 8950.00 0.00002
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8970.00 0.00000 8970.00 0.00003
8980.00 0.00000 8980.00 0.00003
8990.00 0.00000 8990.00 0.00003
9000.00 0.00000 9000.00 0.00003
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9040.00 0.00000 9040.00 0.00003
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......
ObservationSim/Instrument/data/throughputs/y_throughput.txt
View file @ 538b21ee
# y_css # y_cssc
# lambda_Angst throughput
2000.00 0.00000 2000.00 0.00000
2010.00 0.00000 2010.00 0.00000
2020.00 0.00000 2020.00 0.00000
...@@ -271,19 +272,19 @@ ...@@ -271,19 +272,19 @@
4690.00 0.00000 4690.00 0.00000
4700.00 0.00000 4700.00 0.00000
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4730.00 0.00000 4730.00 0.00001
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4760.00 0.00000 4760.00 0.00001
4770.00 0.00000 4770.00 0.00001
4780.00 0.00000 4780.00 0.00002
4790.00 0.00000 4790.00 0.00002
4800.00 0.00000 4800.00 0.00002
4810.00 0.00000 4810.00 0.00002
4820.00 0.00000 4820.00 0.00002
4830.00 0.00000 4830.00 0.00001
4840.00 0.00000 4840.00 0.00001
4850.00 0.00000 4850.00 0.00000
4860.00 0.00000 4860.00 0.00000
4870.00 0.00000 4870.00 0.00000
...@@ -312,12 +313,12 @@ ...@@ -312,12 +313,12 @@
5100.00 0.00000 5100.00 0.00000
5110.00 0.00000 5110.00 0.00000
5120.00 0.00000 5120.00 0.00000
5130.00 0.00000 5130.00 0.00001
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5190.00 0.00000 5190.00 0.00000
5200.00 0.00000 5200.00 0.00000
5210.00 0.00000 5210.00 0.00000
...@@ -345,19 +346,19 @@ ...@@ -345,19 +346,19 @@
5430.00 0.00000 5430.00 0.00000
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5450.00 0.00000 5450.00 0.00000
5460.00 0.00000 5460.00 0.00001
5470.00 0.00000 5470.00 0.00001
5480.00 0.00000 5480.00 0.00001
5490.00 0.00000 5490.00 0.00002
5500.00 0.00000 5500.00 0.00003
5510.00 0.00000 5510.00 0.00003
5520.00 0.00000 5520.00 0.00003
5530.00 0.00000 5530.00 0.00003
5540.00 0.00000 5540.00 0.00003
5550.00 0.00000 5550.00 0.00002
5560.00 0.00000 5560.00 0.00001
5570.00 0.00000 5570.00 0.00001
5580.00 0.00000 5580.00 0.00001
5590.00 0.00000 5590.00 0.00000
5600.00 0.00000 5600.00 0.00000
5610.00 0.00000 5610.00 0.00000
...@@ -368,22 +369,22 @@ ...@@ -368,22 +369,22 @@
5660.00 0.00000 5660.00 0.00000
5670.00 0.00000 5670.00 0.00000
5680.00 0.00000 5680.00 0.00000
5690.00 0.00000 5690.00 0.00001
5700.00 0.00000 5700.00 0.00001
5710.00 0.00000 5710.00 0.00001
5720.00 0.00000 5720.00 0.00001
5730.00 0.00000 5730.00 0.00001
5740.00 0.00000 5740.00 0.00001
5750.00 0.00000 5750.00 0.00001
5760.00 0.00000 5760.00 0.00001
5770.00 0.00000 5770.00 0.00001
5780.00 0.00000 5780.00 0.00001
5790.00 0.00000 5790.00 0.00002
5800.00 0.00000 5800.00 0.00002
5810.00 0.00000 5810.00 0.00002
5820.00 0.00000 5820.00 0.00002
5830.00 0.00000 5830.00 0.00001
5840.00 0.00000 5840.00 0.00001
5850.00 0.00000 5850.00 0.00000
5860.00 0.00000 5860.00 0.00000
5870.00 0.00000 5870.00 0.00000
...@@ -397,8 +398,8 @@ ...@@ -397,8 +398,8 @@
5950.00 0.00000 5950.00 0.00000
5960.00 0.00000 5960.00 0.00000
5970.00 0.00000 5970.00 0.00000
5980.00 0.00000 5980.00 0.00001
5990.00 0.00000 5990.00 0.00001
6000.00 0.00000 6000.00 0.00000
6010.00 0.00000 6010.00 0.00000
6020.00 0.00000 6020.00 0.00000
...@@ -436,13 +437,13 @@ ...@@ -436,13 +437,13 @@
6340.00 0.00000 6340.00 0.00000
6350.00 0.00000 6350.00 0.00000
6360.00 0.00000 6360.00 0.00000
6370.00 0.00000 6370.00 0.00001
6380.00 0.00000 6380.00 0.00001
6390.00 0.00000 6390.00 0.00001
6400.00 0.00000 6400.00 0.00001
6410.00 0.00000 6410.00 0.00001
6420.00 0.00000 6420.00 0.00001
6430.00 0.00000 6430.00 0.00001
6440.00 0.00000 6440.00 0.00000
6450.00 0.00000 6450.00 0.00000
6460.00 0.00000 6460.00 0.00000
...@@ -452,16 +453,16 @@ ...@@ -452,16 +453,16 @@
6500.00 0.00000 6500.00 0.00000
6510.00 0.00000 6510.00 0.00000
6520.00 0.00000 6520.00 0.00000
6530.00 0.00000 6530.00 0.00001
6540.00 0.00000 6540.00 0.00001
6550.00 0.00000 6550.00 0.00001
6560.00 0.00000 6560.00 0.00001
6570.00 0.00000 6570.00 0.00001
6580.00 0.00000 6580.00 0.00001
6590.00 0.00000 6590.00 0.00001
6600.00 0.00000 6600.00 0.00001
6610.00 0.00000 6610.00 0.00001
6620.00 0.00000 6620.00 0.00001
6630.00 0.00000 6630.00 0.00000
6640.00 0.00000 6640.00 0.00000
6650.00 0.00000 6650.00 0.00000
...@@ -582,11 +583,11 @@ ...@@ -582,11 +583,11 @@
7800.00 0.00000 7800.00 0.00000
7810.00 0.00000 7810.00 0.00000
7820.00 0.00000 7820.00 0.00000
7830.00 0.00000 7830.00 0.00001
7840.00 0.00000 7840.00 0.00001
7850.00 0.00000 7850.00 0.00001
7860.00 0.00000 7860.00 0.00001
7870.00 0.00000 7870.00 0.00001
7880.00 0.00000 7880.00 0.00000
7890.00 0.00000 7890.00 0.00000
7900.00 0.00000 7900.00 0.00000
...@@ -599,304 +600,304 @@ ...@@ -599,304 +600,304 @@
7970.00 0.00000 7970.00 0.00000
7980.00 0.00000 7980.00 0.00000
7990.00 0.00000 7990.00 0.00000
8000.00 0.00000 8000.00 0.00002
8010.00 0.00000 8010.00 0.00001
8020.00 0.00000 8020.00 0.00002
8030.00 0.00000 8030.00 0.00002
8040.00 0.00000 8040.00 0.00001
8050.00 0.00000 8050.00 0.00002
8060.00 0.00000 8060.00 0.00001
8070.00 0.00000 8070.00 0.00002
8080.00 0.00000 8080.00 0.00001
8090.00 0.00000 8090.00 0.00001
8100.00 0.00000 8100.00 0.00001
8110.00 0.00000 8110.00 0.00001
8120.00 0.00000 8120.00 0.00000
8130.00 0.00000 8130.00 0.00002
8140.00 0.00000 8140.00 0.00001
8150.00 0.00000 8150.00 0.00000
8160.00 0.00000 8160.00 0.00001
8170.00 0.00000 8170.00 0.00001
8180.00 0.00000 8180.00 0.00002
8190.00 0.00000 8190.00 0.00003
8200.00 0.00000 8200.00 0.00002
8210.00 0.00000 8210.00 0.00002
8220.00 0.00000 8220.00 0.00002
8230.00 0.00000 8230.00 0.00002
8240.00 0.00000 8240.00 0.00001
8250.00 0.00000 8250.00 0.00001
8260.00 0.00000 8260.00 0.00002
8270.00 0.00000 8270.00 0.00001
8280.00 0.00000 8280.00 0.00001
8290.00 0.00000 8290.00 0.00002
8300.00 0.00000 8300.00 0.00001
8310.00 0.00000 8310.00 0.00002
8320.00 0.00000 8320.00 0.00002
8330.00 0.00000 8330.00 0.00002
8340.00 0.00000 8340.00 0.00001
8350.00 0.00000 8350.00 0.00002
8360.00 0.00000 8360.00 0.00001
8370.00 0.00000 8370.00 0.00002
8380.00 0.00000 8380.00 0.00002
8390.00 0.00000 8390.00 0.00001
8400.00 0.00000 8400.00 0.00002
8410.00 0.00000 8410.00 0.00002
8420.00 0.00000 8420.00 0.00001
8430.00 0.00000 8430.00 0.00001
8440.00 0.00000 8440.00 0.00001
8450.00 0.00000 8450.00 0.00001
8460.00 0.00000 8460.00 0.00001
8470.00 0.00000 8470.00 0.00001
8480.00 0.00000 8480.00 0.00001
8490.00 0.00000 8490.00 0.00000
8500.00 0.00000 8500.00 0.00001
8510.00 0.00000 8510.00 0.00001
8520.00 0.00000 8520.00 0.00001
8530.00 0.00000 8530.00 0.00001
8540.00 0.00000 8540.00 0.00001
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8560.00 0.00000 8560.00 0.00001
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8580.00 0.00000 8580.00 0.00001
8590.00 0.00000 8590.00 0.00001
8600.00 0.00000 8600.00 0.00001
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8670.00 0.00000 8670.00 0.00001
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8800.00 0.00000 8800.00 0.00001
8810.00 0.00000 8810.00 0.00001
8820.00 0.00000 8820.00 0.00001
8830.00 0.00000 8830.00 0.00001
8840.00 0.00000 8840.00 0.00001
8850.00 0.00000 8850.00 0.00001
8860.00 0.00000 8860.00 0.00002
8870.00 0.00000 8870.00 0.00002
8880.00 0.00000 8880.00 0.00002
8890.00 0.00000 8890.00 0.00002
8900.00 0.00000 8900.00 0.00002
8910.00 0.00000 8910.00 0.00003
8920.00 0.00000 8920.00 0.00003
8930.00 0.00000 8930.00 0.00004
8940.00 0.00000 8940.00 0.00005
8950.00 0.00000 8950.00 0.00006
8960.00 0.00000 8960.00 0.00007
8970.00 0.00000 8970.00 0.00008
8980.00 0.00000 8980.00 0.00010
8990.00 0.00000 8990.00 0.00012
9000.00 0.00000 9000.00 0.00015
9010.00 0.00000 9010.00 0.00020
9020.00 0.00000 9020.00 0.00029
9030.00 0.00000 9030.00 0.00042
9040.00 0.00000 9040.00 0.00067
9050.00 0.00000 9050.00 0.00113
9060.00 0.00000 9060.00 0.00206
9070.00 0.00000 9070.00 0.00379
9080.00 0.00000 9080.00 0.00654
9090.00 0.00000 9090.00 0.01016
9100.00 0.00000 9100.00 0.01473
9110.00 0.00000 9110.00 0.02009
9120.00 0.00000 9120.00 0.02491
9130.00 0.00000 9130.00 0.02787
9140.00 0.00000 9140.00 0.03080
9150.00 0.00000 9150.00 0.03360
9160.00 0.00000 9160.00 0.03736
9170.00 0.00000 9170.00 0.04152
9180.00 0.00000 9180.00 0.04629
9190.00 0.00000 9190.00 0.05196
9200.00 0.03879 9200.00 0.05965
9210.00 0.07684 9210.00 0.06897
9220.00 0.11415 9220.00 0.08142
9230.00 0.15073 9230.00 0.09667
9240.00 0.18658 9240.00 0.11727
9250.00 0.22168 9250.00 0.14703
9260.00 0.25605 9260.00 0.18512
9270.00 0.28969 9270.00 0.22564
9280.00 0.32259 9280.00 0.25914
9290.00 0.35475 9290.00 0.27504
9300.00 0.35107 9300.00 0.27413
9310.00 0.34724 9310.00 0.26672
9320.00 0.34342 9320.00 0.25628
9330.00 0.33959 9330.00 0.25043
9340.00 0.33576 9340.00 0.25056
9350.00 0.33194 9350.00 0.25780
9360.00 0.32811 9360.00 0.26953
9370.00 0.32428 9370.00 0.28027
9380.00 0.32045 9380.00 0.29300
9390.00 0.31663 9390.00 0.30125
9400.00 0.31280 9400.00 0.30476
9410.00 0.30905 9410.00 0.30774
9420.00 0.30529 9420.00 0.30754
9430.00 0.30154 9430.00 0.30457
9440.00 0.29779 9440.00 0.30033
9450.00 0.29403 9450.00 0.29852
9460.00 0.29028 9460.00 0.29537
9470.00 0.28652 9470.00 0.29414
9480.00 0.28277 9480.00 0.29372
9490.00 0.27902 9490.00 0.29135
9500.00 0.27526 9500.00 0.29245
9510.00 0.27136 9510.00 0.29120
9520.00 0.26746 9520.00 0.29163
9530.00 0.26356 9530.00 0.28776
9540.00 0.25966 9540.00 0.28561
9550.00 0.25576 9550.00 0.28216
9560.00 0.25186 9560.00 0.27887
9570.00 0.24796 9570.00 0.27618
9580.00 0.24406 9580.00 0.27160
9590.00 0.24016 9590.00 0.26462
9600.00 0.23626 9600.00 0.25744
9610.00 0.23294 9610.00 0.25295
9620.00 0.22963 9620.00 0.24872
9630.00 0.22632 9630.00 0.24309
9640.00 0.22301 9640.00 0.24029
9650.00 0.21970 9650.00 0.23722
9660.00 0.21638 9660.00 0.23592
9670.00 0.21307 9670.00 0.23303
9680.00 0.20976 9680.00 0.23185
9690.00 0.20645 9690.00 0.22828
9700.00 0.20314 9700.00 0.22377
9710.00 0.19990 9710.00 0.22119
9720.00 0.19666 9720.00 0.21880
9730.00 0.19342 9730.00 0.21568
9740.00 0.19018 9740.00 0.21221
9750.00 0.18694 9750.00 0.20819
9760.00 0.18371 9760.00 0.20421
9770.00 0.18047 9770.00 0.19998
9780.00 0.17723 9780.00 0.19609
9790.00 0.17399 9790.00 0.19067
9800.00 0.17075 9800.00 0.18498
9810.00 0.16781 9810.00 0.18081
9820.00 0.16486 9820.00 0.17709
9830.00 0.16192 9830.00 0.17290
9840.00 0.15898 9840.00 0.16863
9850.00 0.15603 9850.00 0.16594
9860.00 0.15309 9860.00 0.16317
9870.00 0.15014 9870.00 0.15992
9880.00 0.14720 9880.00 0.15856
9890.00 0.14426 9890.00 0.15453
9900.00 0.14131 9900.00 0.15212
9910.00 0.13829 9910.00 0.14915
9920.00 0.13528 9920.00 0.14682
9930.00 0.13226 9930.00 0.14462
9940.00 0.12924 9940.00 0.14245
9950.00 0.12622 9950.00 0.14032
9960.00 0.12321 9960.00 0.13813
9970.00 0.12019 9970.00 0.13557
9980.00 0.11717 9980.00 0.13274
9990.00 0.11415 9990.00 0.12956
10000.00 0.11114 10000.00 0.12631
10010.00 0.10856 10010.00 0.12358
10020.00 0.10598 10020.00 0.12131
10030.00 0.10341 10030.00 0.11828
10040.00 0.10083 10040.00 0.11527
10050.00 0.09826 10050.00 0.11281
10060.00 0.09568 10060.00 0.10998
10070.00 0.09310 10070.00 0.10693
10080.00 0.09053 10080.00 0.10413
10090.00 0.08795 10090.00 0.10062
10100.00 0.08538 10100.00 0.09759
10110.00 0.08280 10110.00 0.09418
10120.00 0.08022 10120.00 0.09121
10130.00 0.07765 10130.00 0.08794
10140.00 0.07507 10140.00 0.08498
10150.00 0.07250 10150.00 0.08236
10160.00 0.06992 10160.00 0.07916
10170.00 0.06734 10170.00 0.07608
10180.00 0.06477 10180.00 0.07280
10190.00 0.06219 10190.00 0.06992
10200.00 0.05962 10200.00 0.06690
10210.00 0.05770 10210.00 0.06474
10220.00 0.05579 10220.00 0.06270
10230.00 0.05388 10230.00 0.06034
10240.00 0.05196 10240.00 0.05816
10250.00 0.05005 10250.00 0.05627
10260.00 0.04813 10260.00 0.05452
10270.00 0.04622 10270.00 0.05255
10280.00 0.04431 10280.00 0.05035
10290.00 0.04239 10290.00 0.04810
10300.00 0.04048 10300.00 0.04589
10310.00 0.03908 10310.00 0.04451
10320.00 0.03768 10320.00 0.04310
10330.00 0.03628 10330.00 0.04172
10340.00 0.03489 10340.00 0.04014
10350.00 0.03349 10350.00 0.03859
10360.00 0.03209 10360.00 0.03726
10370.00 0.03069 10370.00 0.03553
10380.00 0.02929 10380.00 0.03402
10390.00 0.02789 10390.00 0.03240
10400.00 0.02650 10400.00 0.03080
10410.00 0.02547 10410.00 0.02982
10420.00 0.02444 10420.00 0.02864
10430.00 0.02340 10430.00 0.02743
10440.00 0.02237 10440.00 0.02619
10450.00 0.02134 10450.00 0.02501
10460.00 0.01939 10460.00 0.02386
10470.00 0.01665 10470.00 0.02278
10480.00 0.01410 10480.00 0.02160
10490.00 0.01174 10490.00 0.02026
10500.00 0.00957 10500.00 0.01900
10510.00 0.00793 10510.00 0.01866
10520.00 0.00636 10520.00 0.01823
10530.00 0.00484 10530.00 0.01788
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10760.00 0.00000 10760.00 0.00916
10770.00 0.00000 10770.00 0.00871
10780.00 0.00000 10780.00 0.00837
10790.00 0.00000 10790.00 0.00797
10800.00 0.00000 10800.00 0.00749
10810.00 0.00000 10810.00 0.00714
10820.00 0.00000 10820.00 0.00671
10830.00 0.00000 10830.00 0.00631
10840.00 0.00000 10840.00 0.00590
10850.00 0.00000 10850.00 0.00547
10860.00 0.00000 10860.00 0.00504
10870.00 0.00000 10870.00 0.00463
10880.00 0.00000 10880.00 0.00418
10890.00 0.00000 10890.00 0.00374
10900.00 0.00000 10900.00 0.00327
10910.00 0.00000 10910.00 0.00283
10920.00 0.00000 10920.00 0.00241
10930.00 0.00000 10930.00 0.00199
10940.00 0.00000 10940.00 0.00159
10950.00 0.00000 10950.00 0.00123
10960.00 0.00000 10960.00 0.00090
10970.00 0.00000 10970.00 0.00061
10980.00 0.00000 10980.00 0.00037
10990.00 0.00000 10990.00 0.00017
11000.00 0.00000 11000.00 0.00000
ObservationSim/Instrument/data/throughputs/z_throughput.txt
View file @ 538b21ee
# z_css # z_cssc
# lambda_Angst throughput
2000.00 0.00000 2000.00 0.00000
2010.00 0.00000 2010.00 0.00000
2020.00 0.00000 2020.00 0.00000
...@@ -273,19 +274,19 @@ ...@@ -273,19 +274,19 @@
4710.00 0.00000 4710.00 0.00000
4720.00 0.00000 4720.00 0.00000
4730.00 0.00000 4730.00 0.00000
4740.00 0.00000 4740.00 0.00001
4750.00 0.00000 4750.00 0.00001
4760.00 0.00000 4760.00 0.00001
4770.00 0.00000 4770.00 0.00001
4780.00 0.00000 4780.00 0.00002
4790.00 0.00000 4790.00 0.00003
4800.00 0.00000 4800.00 0.00004
4810.00 0.00000 4810.00 0.00004
4820.00 0.00000 4820.00 0.00005
4830.00 0.00000 4830.00 0.00004
4840.00 0.00000 4840.00 0.00003
4850.00 0.00000 4850.00 0.00002
4860.00 0.00000 4860.00 0.00001
4870.00 0.00000 4870.00 0.00000
4880.00 0.00000 4880.00 0.00000
4890.00 0.00000 4890.00 0.00000
...@@ -349,16 +350,16 @@ ...@@ -349,16 +350,16 @@
5470.00 0.00000 5470.00 0.00000
5480.00 0.00000 5480.00 0.00000
5490.00 0.00000 5490.00 0.00000
5500.00 0.00000 5500.00 0.00001
5510.00 0.00000 5510.00 0.00001
5520.00 0.00000 5520.00 0.00002
5530.00 0.00000 5530.00 0.00002
5540.00 0.00000 5540.00 0.00002
5550.00 0.00000 5550.00 0.00002
5560.00 0.00000 5560.00 0.00002
5570.00 0.00000 5570.00 0.00001
5580.00 0.00000 5580.00 0.00001
5590.00 0.00000 5590.00 0.00001
5600.00 0.00000 5600.00 0.00000
5610.00 0.00000 5610.00 0.00000
5620.00 0.00000 5620.00 0.00000
...@@ -372,20 +373,20 @@ ...@@ -372,20 +373,20 @@
5700.00 0.00000 5700.00 0.00000
5710.00 0.00000 5710.00 0.00000
5720.00 0.00000 5720.00 0.00000
5730.00 0.00000 5730.00 0.00001
5740.00 0.00000 5740.00 0.00001
5750.00 0.00000 5750.00 0.00001
5760.00 0.00000 5760.00 0.00001
5770.00 0.00000 5770.00 0.00002
5780.00 0.00000 5780.00 0.00002
5790.00 0.00000 5790.00 0.00003
5800.00 0.00000 5800.00 0.00004
5810.00 0.00000 5810.00 0.00004
5820.00 0.00000 5820.00 0.00004
5830.00 0.00000 5830.00 0.00003
5840.00 0.00000 5840.00 0.00002
5850.00 0.00000 5850.00 0.00001
5860.00 0.00000 5860.00 0.00001
5870.00 0.00000 5870.00 0.00000
5880.00 0.00000 5880.00 0.00000
5890.00 0.00000 5890.00 0.00000
...@@ -599,304 +600,304 @@ ...@@ -599,304 +600,304 @@
7970.00 0.00000 7970.00 0.00000
7980.00 0.00000 7980.00 0.00000
7990.00 0.00000 7990.00 0.00000
8000.00 0.00000 8000.00 0.00002
8010.00 0.00000 8010.00 0.00003
8020.00 0.00000 8020.00 0.00003
8030.00 0.00000 8030.00 0.00003
8040.00 0.00000 8040.00 0.00003
8050.00 0.00000 8050.00 0.00004
8060.00 0.00000 8060.00 0.00004
8070.00 0.00000 8070.00 0.00005
8080.00 0.00000 8080.00 0.00007
8090.00 0.00000 8090.00 0.00008
8100.00 0.00000 8100.00 0.00009
8110.00 0.00000 8110.00 0.00013
8120.00 0.00000 8120.00 0.00018
8130.00 0.00000 8130.00 0.00026
8140.00 0.00000 8140.00 0.00040
8150.00 0.00000 8150.00 0.00065
8160.00 0.00000 8160.00 0.00112
8170.00 0.00000 8170.00 0.00185
8180.00 0.00000 8180.00 0.00305
8190.00 0.00000 8190.00 0.00475
8200.00 0.00000 8200.00 0.00704
8210.00 0.00000 8210.00 0.00994
8220.00 0.00000 8220.00 0.01366
8230.00 0.00000 8230.00 0.01820
8240.00 0.00000 8240.00 0.02345
8250.00 0.00000 8250.00 0.03058
8260.00 0.00000 8260.00 0.03900
8270.00 0.00000 8270.00 0.04796
8280.00 0.00000 8280.00 0.05876
8290.00 0.00000 8290.00 0.07147
8300.00 0.03467 8300.00 0.08580
8310.00 0.10375 8310.00 0.10118
8320.00 0.17247 8320.00 0.11803
8330.00 0.24083 8330.00 0.13528
8340.00 0.30883 8340.00 0.15451
8350.00 0.37646 8350.00 0.17500
8360.00 0.44374 8360.00 0.19415
8370.00 0.51066 8370.00 0.21555
8380.00 0.57722 8380.00 0.23737
8390.00 0.60956 8390.00 0.26134
8400.00 0.60794 8400.00 0.28959
8410.00 0.60617 8410.00 0.31549
8420.00 0.60440 8420.00 0.34437
8430.00 0.60264 8430.00 0.37460
8440.00 0.60087 8440.00 0.40913
8450.00 0.59910 8450.00 0.43985
8460.00 0.59734 8460.00 0.46810
8470.00 0.59557 8470.00 0.50016
8480.00 0.59380 8480.00 0.52985
8490.00 0.59204 8490.00 0.53965
8500.00 0.59027 8500.00 0.54721
8510.00 0.58814 8510.00 0.55913
8520.00 0.58600 8520.00 0.56785
8530.00 0.58387 8530.00 0.57017
8540.00 0.58173 8540.00 0.57030
8550.00 0.57960 8550.00 0.56308
8560.00 0.57747 8560.00 0.56262
8570.00 0.57533 8570.00 0.55976
8580.00 0.57320 8580.00 0.56087
8590.00 0.57106 8590.00 0.56322
8600.00 0.56893 8600.00 0.56420
8610.00 0.56643 8610.00 0.57465
8620.00 0.56392 8620.00 0.58293
8630.00 0.56142 8630.00 0.58455
8640.00 0.55892 8640.00 0.58646
8650.00 0.55642 8650.00 0.58652
8660.00 0.55391 8660.00 0.59005
8670.00 0.55141 8670.00 0.59086
8680.00 0.54891 8680.00 0.59135
8690.00 0.54641 8690.00 0.59191
8700.00 0.54390 8700.00 0.59066
8710.00 0.54133 8710.00 0.58680
8720.00 0.53875 8720.00 0.58734
8730.00 0.53618 8730.00 0.58443
8740.00 0.53360 8740.00 0.58584
8750.00 0.53102 8750.00 0.58551
8760.00 0.52845 8760.00 0.58631
8770.00 0.52587 8770.00 0.57497
8780.00 0.52330 8780.00 0.56742
8790.00 0.52072 8790.00 0.56521
8800.00 0.51814 8800.00 0.56529
8810.00 0.51535 8810.00 0.56261
8820.00 0.51255 8820.00 0.55838
8830.00 0.50975 8830.00 0.55504
8840.00 0.50696 8840.00 0.55008
8850.00 0.50416 8850.00 0.54926
8860.00 0.50136 8860.00 0.55300
8870.00 0.49857 8870.00 0.55054
8880.00 0.49577 8880.00 0.54841
8890.00 0.49297 8890.00 0.54389
8900.00 0.49018 8900.00 0.54021
8910.00 0.48716 8910.00 0.53897
8920.00 0.48414 8920.00 0.53684
8930.00 0.48112 8930.00 0.53275
8940.00 0.47811 8940.00 0.52614
8950.00 0.47509 8950.00 0.52261
8960.00 0.47207 8960.00 0.51701
8970.00 0.46905 8970.00 0.51777
8980.00 0.46604 8980.00 0.51666
8990.00 0.46302 8990.00 0.50958
9000.00 0.46000 9000.00 0.50227
9010.00 0.45654 9010.00 0.49876
9020.00 0.45308 9020.00 0.49809
9030.00 0.44962 9030.00 0.49215
9040.00 0.44616 9040.00 0.48671
9050.00 0.44270 9050.00 0.48609
9060.00 0.43924 9060.00 0.48684
9070.00 0.43579 9070.00 0.48709
9080.00 0.43233 9080.00 0.48235
9090.00 0.42887 9090.00 0.47727
9100.00 0.42541 9100.00 0.47371
9110.00 0.42165 9110.00 0.47099
9120.00 0.41790 9120.00 0.46685
9130.00 0.41415 9130.00 0.46190
9140.00 0.41039 9140.00 0.45953
9150.00 0.40664 9150.00 0.45711
9160.00 0.40289 9160.00 0.45402
9170.00 0.39913 9170.00 0.44954
9180.00 0.39538 9180.00 0.44596
9190.00 0.39163 9190.00 0.43748
9200.00 0.38787 9200.00 0.43258
9210.00 0.38419 9210.00 0.42686
9220.00 0.38051 9220.00 0.42501
9230.00 0.37683 9230.00 0.41694
9240.00 0.37315 9240.00 0.41017
9250.00 0.36947 9250.00 0.40690
9260.00 0.36579 9260.00 0.40273
9270.00 0.36211 9270.00 0.40115
9280.00 0.35843 9280.00 0.39850
9290.00 0.35475 9290.00 0.39300
9300.00 0.35107 9300.00 0.38771
9310.00 0.34724 9310.00 0.38511
9320.00 0.34342 9320.00 0.38115
9330.00 0.33959 9330.00 0.37657
9340.00 0.33576 9340.00 0.37304
9350.00 0.33194 9350.00 0.37035
9360.00 0.32811 9360.00 0.36799
9370.00 0.32428 9370.00 0.36361
9380.00 0.32045 9380.00 0.36175
9390.00 0.31663 9390.00 0.35653
9400.00 0.31280 9400.00 0.35207
9410.00 0.30905 9410.00 0.34870
9420.00 0.30529 9420.00 0.34540
9430.00 0.30154 9430.00 0.34000
9440.00 0.29779 9440.00 0.33454
9450.00 0.29403 9450.00 0.33118
9460.00 0.29028 9460.00 0.32608
9470.00 0.28652 9470.00 0.32235
9480.00 0.28277 9480.00 0.31854
9490.00 0.27902 9490.00 0.31280
9500.00 0.27526 9500.00 0.30897
9510.00 0.27136 9510.00 0.30432
9520.00 0.26746 9520.00 0.30050
9530.00 0.26356 9530.00 0.29516
9540.00 0.25966 9540.00 0.29060
9550.00 0.25576 9550.00 0.28636
9560.00 0.25186 9560.00 0.28360
9570.00 0.24796 9570.00 0.28103
9580.00 0.24406 9580.00 0.27826
9590.00 0.24016 9590.00 0.27258
9600.00 0.23626 9600.00 0.26635
9610.00 0.23294 9610.00 0.26313
9620.00 0.22963 9620.00 0.26024
9630.00 0.22632 9630.00 0.25426
9640.00 0.22301 9640.00 0.25093
9650.00 0.21970 9650.00 0.24715
9660.00 0.21638 9660.00 0.24534
9670.00 0.21307 9670.00 0.24135
9680.00 0.20976 9680.00 0.23866
9690.00 0.20645 9690.00 0.23333
9700.00 0.20314 9700.00 0.22699
9710.00 0.19990 9710.00 0.22368
9720.00 0.19666 9720.00 0.21986
9730.00 0.19342 9730.00 0.21567
9740.00 0.19018 9740.00 0.21298
9750.00 0.18694 9750.00 0.20891
9760.00 0.18371 9760.00 0.20503
9770.00 0.18047 9770.00 0.20208
9780.00 0.17723 9780.00 0.19933
9790.00 0.17399 9790.00 0.19468
9800.00 0.17075 9800.00 0.19016
9810.00 0.16781 9810.00 0.18628
9820.00 0.16486 9820.00 0.18377
9830.00 0.16192 9830.00 0.18008
9840.00 0.15898 9840.00 0.17676
9850.00 0.15603 9850.00 0.17416
9860.00 0.15309 9860.00 0.17185
9870.00 0.15014 9870.00 0.16854
9880.00 0.14720 9880.00 0.16681
9890.00 0.14426 9890.00 0.16231
9900.00 0.14131 9900.00 0.15922
9910.00 0.13829 9910.00 0.15595
9920.00 0.13528 9920.00 0.15261
9930.00 0.13226 9930.00 0.14979
9940.00 0.12924 9940.00 0.14714
9950.00 0.12622 9950.00 0.14405
9960.00 0.12321 9960.00 0.14113
9970.00 0.12019 9970.00 0.13766
9980.00 0.11717 9980.00 0.13428
9990.00 0.11415 9990.00 0.13036
10000.00 0.11114 10000.00 0.12687
10010.00 0.10856 10010.00 0.12353
10020.00 0.10598 10020.00 0.12086
10030.00 0.10341 10030.00 0.11805
10040.00 0.10083 10040.00 0.11487
10050.00 0.09826 10050.00 0.11219
10060.00 0.09568 10060.00 0.10946
10070.00 0.09310 10070.00 0.10670
10080.00 0.09053 10080.00 0.10390
10090.00 0.08795 10090.00 0.10063
10100.00 0.08538 10100.00 0.09769
10110.00 0.08280 10110.00 0.09469
10120.00 0.08022 10120.00 0.09182
10130.00 0.07765 10130.00 0.08876
10140.00 0.07507 10140.00 0.08596
10150.00 0.07250 10150.00 0.08345
10160.00 0.06992 10160.00 0.08038
10170.00 0.06734 10170.00 0.07757
10180.00 0.06477 10180.00 0.07454
10190.00 0.06219 10190.00 0.07143
10200.00 0.05962 10200.00 0.06847
10210.00 0.05770 10210.00 0.06625
10220.00 0.05579 10220.00 0.06415
10230.00 0.05388 10230.00 0.06172
10240.00 0.05196 10240.00 0.05948
10250.00 0.05005 10250.00 0.05752
10260.00 0.04813 10260.00 0.05559
10270.00 0.04622 10270.00 0.05342
10280.00 0.04431 10280.00 0.05111
10290.00 0.04239 10290.00 0.04861
10300.00 0.04048 10300.00 0.04624
10310.00 0.03908 10310.00 0.04473
10320.00 0.03768 10320.00 0.04323
10330.00 0.03628 10330.00 0.04159
10340.00 0.03489 10340.00 0.03990
10350.00 0.03349 10350.00 0.03836
10360.00 0.03209 10360.00 0.03685
10370.00 0.03069 10370.00 0.03495
10380.00 0.02929 10380.00 0.03347
10390.00 0.02789 10390.00 0.03179
10400.00 0.02650 10400.00 0.03022
10410.00 0.02547 10410.00 0.02922
10420.00 0.02444 10420.00 0.02809
10430.00 0.02340 10430.00 0.02687
10440.00 0.02237 10440.00 0.02562
10450.00 0.02134 10450.00 0.02458
10460.00 0.01939 10460.00 0.02340
10470.00 0.01665 10470.00 0.02243
10480.00 0.01410 10480.00 0.02127
10490.00 0.01174 10490.00 0.01998
10500.00 0.00957 10500.00 0.01877
10510.00 0.00793 10510.00 0.01843
10520.00 0.00636 10520.00 0.01806
10530.00 0.00484 10530.00 0.01774
10540.00 0.00339 10540.00 0.01732
10550.00 0.00199 10550.00 0.01701
10560.00 0.00065 10560.00 0.01671
10570.00 0.00000 10570.00 0.01628
10580.00 0.00000 10580.00 0.01597
10590.00 0.00000 10590.00 0.01558
10600.00 0.00000 10600.00 0.01522
10610.00 0.00000 10610.00 0.01479
10620.00 0.00000 10620.00 0.01442
10630.00 0.00000 10630.00 0.01400
10640.00 0.00000 10640.00 0.01363
10650.00 0.00000 10650.00 0.01319
10660.00 0.00000 10660.00 0.01273
10670.00 0.00000 10670.00 0.01234
10680.00 0.00000 10680.00 0.01193
10690.00 0.00000 10690.00 0.01143
10700.00 0.00000 10700.00 0.01087
10710.00 0.00000 10710.00 0.01034
10720.00 0.00000 10720.00 0.00980
10730.00 0.00000 10730.00 0.00922
10740.00 0.00000 10740.00 0.00860
10750.00 0.00000 10750.00 0.00802
10760.00 0.00000 10760.00 0.00742
10770.00 0.00000 10770.00 0.00671
10780.00 0.00000 10780.00 0.00610
10790.00 0.00000 10790.00 0.00546
10800.00 0.00000 10800.00 0.00478
10810.00 0.00000 10810.00 0.00421
10820.00 0.00000 10820.00 0.00366
10830.00 0.00000 10830.00 0.00314
10840.00 0.00000 10840.00 0.00267
10850.00 0.00000 10850.00 0.00226
10860.00 0.00000 10860.00 0.00189
10870.00 0.00000 10870.00 0.00157
10880.00 0.00000 10880.00 0.00130
10890.00 0.00000 10890.00 0.00106
10900.00 0.00000 10900.00 0.00085
10910.00 0.00000 10910.00 0.00068
10920.00 0.00000 10920.00 0.00054
10930.00 0.00000 10930.00 0.00042
10940.00 0.00000 10940.00 0.00032
10950.00 0.00000 10950.00 0.00024
10960.00 0.00000 10960.00 0.00017
10970.00 0.00000 10970.00 0.00011
10980.00 0.00000 10980.00 0.00007
10990.00 0.00000 10990.00 0.00003
11000.00 0.00000 11000.00 0.00000
ObservationSim/MockObject/CatalogBase.py
View file @ 538b21ee
...@@ -38,8 +38,8 @@ class CatalogBase(metaclass=ABCMeta): ...@@ -38,8 +38,8 @@ class CatalogBase(metaclass=ABCMeta):
"mag_use_normal":100., "mag_use_normal":100.,
"theta":0., "theta":0.,
"kappa":0., "kappa":0.,
"gamma1":0., "g1":0.,
"gamma2":0., "g2":0.,
"bfrac":0., "bfrac":0.,
"av":0., "av":0.,
"redden":0., "redden":0.,
...@@ -48,11 +48,24 @@ class CatalogBase(metaclass=ABCMeta): ...@@ -48,11 +48,24 @@ class CatalogBase(metaclass=ABCMeta):
"ell_bulge":0., "ell_bulge":0.,
"ell_disk":0., "ell_disk":0.,
"ell_tot":0., "ell_tot":0.,
"e1_disk":0.,
"e2_disk":0.,
"e1_bulge":0.,
"e2_bulge":0.,
"teff":0., "teff":0.,
"logg":0., "logg":0.,
"feh":0., "feh":0.,
"g1":0., # C6 galaxies parameters
"g2":0., "e1":0.,
"e2":0.,
"bulgemass":0.,
"diskmass":0.,
"size":0.,
"detA":0.,
"type":0,
"veldisp":0.,
"coeff": np.zeros(20),
# Astrometry related
"pmra":0., "pmra":0.,
"pmdec":0., "pmdec":0.,
"rv":0., "rv":0.,
......
ObservationSim/MockObject/Galaxy.py
View file @ 538b21ee
...@@ -9,31 +9,37 @@ from ObservationSim.MockObject._util import eObs, integrate_sed_bandpass, getNor ...@@ -9,31 +9,37 @@ from ObservationSim.MockObject._util import eObs, integrate_sed_bandpass, getNor
from ObservationSim.MockObject.SpecDisperser import SpecDisperser from ObservationSim.MockObject.SpecDisperser import SpecDisperser
from ObservationSim.MockObject.MockObject import MockObject from ObservationSim.MockObject.MockObject import MockObject
# import tracemalloc
class Galaxy(MockObject): class Galaxy(MockObject):
def __init__(self, param, rotation=None, logger=None): def __init__(self, param, rotation=None, logger=None):
super().__init__(param, logger=logger) super().__init__(param, logger=logger)
self.thetaR = self.param["theta"] # self.thetaR = self.param["theta"]
self.bfrac = self.param["bfrac"] # self.bfrac = self.param["bfrac"]
self.hlr_disk = self.param["hlr_disk"] # self.hlr_disk = self.param["hlr_disk"]
self.hlr_bulge = self.param["hlr_bulge"] # self.hlr_bulge = self.param["hlr_bulge"]
# Extract ellipticity components # Extract ellipticity components
self.e_disk = galsim.Shear(g=self.param["ell_disk"], beta=self.thetaR*galsim.degrees) # 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_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.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_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_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.e1_total, self.e2_total = self.e_total.g1, self.e_total.g2
if rotation is not None: if rotation is not None:
self.rotateEllipticity(rotation) 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): def unload_SED(self):
"""(Test) free up SED memory """(Test) free up SED memory
""" """
del self.sed 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): if len(psf_list) != len(bandpass_list):
raise ValueError("!!!The number of PSF profiles and the number of bandpasses must be equal.") raise ValueError("!!!The number of PSF profiles and the number of bandpasses must be equal.")
objs = [] objs = []
...@@ -63,10 +69,10 @@ class Galaxy(MockObject): ...@@ -63,10 +69,10 @@ class Galaxy(MockObject):
return -1 return -1
psf = psf_list[i] 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_shape = galsim.Shear(g1=self.e1_disk, g2=self.e2_disk)
disk = disk.shear(disk_shape) 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_shape = galsim.Shear(g1=self.e1_bulge, g2=self.e2_bulge)
bulge = bulge.shear(bulge_shape) bulge = bulge.shear(bulge_shape)
...@@ -75,11 +81,14 @@ class Galaxy(MockObject): ...@@ -75,11 +81,14 @@ class Galaxy(MockObject):
gal_shear = galsim.Shear(g1=g1, g2=g2) gal_shear = galsim.Shear(g1=g1, g2=g2)
gal = gal.shear(gal_shear) gal = gal.shear(gal_shear)
gal = galsim.Convolve(psf, gal) gal = galsim.Convolve(psf, gal)
if fd_shear is not None:
gal = gal.shear(fd_shear)
objs.append(gal) objs.append(gal)
final = galsim.Sum(objs) final = galsim.Sum(objs)
return final 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: if nphotons_tot == None:
nphotons_tot = self.getElectronFluxFilt(filt, tel, exptime) nphotons_tot = self.getElectronFluxFilt(filt, tel, exptime)
# print("nphotons_tot = ", nphotons_tot) # print("nphotons_tot = ", nphotons_tot)
...@@ -89,15 +98,18 @@ class Galaxy(MockObject): ...@@ -89,15 +98,18 @@ class Galaxy(MockObject):
except Exception as e: except Exception as e:
print(e) print(e)
self.logger.error(e) self.logger.error(e)
return False return 2, None
nphotons_sum = 0 nphotons_sum = 0
photons_list = [] photons_list = []
xmax, ymax = 0, 0 xmax, ymax = 0, 0
# # [C6 TEST]
# print('hlr_disk = %.4f, hlr_bulge = %.4f'%(self.hlr_disk, self.hlr_bulge)) # print('hlr_disk = %.4f, hlr_bulge = %.4f'%(self.hlr_disk, self.hlr_bulge))
# tracemalloc.start()
big_galaxy = False 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 big_galaxy = True
# (TEST) Galsim Parameters # (TEST) Galsim Parameters
...@@ -134,22 +146,23 @@ class Galaxy(MockObject): ...@@ -134,22 +146,23 @@ class Galaxy(MockObject):
if not (ratio == -1 or (ratio != ratio)): if not (ratio == -1 or (ratio != ratio)):
nphotons = ratio * nphotons_tot nphotons = ratio * nphotons_tot
else: else:
# return False
continue continue
nphotons_sum += nphotons nphotons_sum += nphotons
# # [C6 TEST]
# print("nphotons_sub-band_%d = %.2f"%(i, nphotons)) # 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) 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_shape = galsim.Shear(g1=self.e1_disk, g2=self.e2_disk)
disk = disk.shear(disk_shape) 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_shape = galsim.Shear(g1=self.e1_bulge, g2=self.e2_bulge)
bulge = bulge.shear(bulge_shape) bulge = bulge.shear(bulge_shape)
gal = self.bfrac * bulge + (1.0 - self.bfrac) * disk gal = self.bfrac * bulge + (1.0 - self.bfrac) * disk
# # (TEST) Random knots # (TEST) Random knots
# knots = galsim.RandomKnots(npoints=100, profile=disk) # knots = galsim.RandomKnots(npoints=100, profile=disk)
# kfrac = np.random.random()*(1.0 - self.bfrac) # kfrac = np.random.random()*(1.0 - self.bfrac)
# gal = self.bfrac * bulge + (1.0 - self.bfrac - kfrac) * disk + kfrac * knots # gal = self.bfrac * bulge + (1.0 - self.bfrac - kfrac) * disk + kfrac * knots
...@@ -158,93 +171,82 @@ class Galaxy(MockObject): ...@@ -158,93 +171,82 @@ class Galaxy(MockObject):
gal_shear = galsim.Shear(g1=g1, g2=g2) gal_shear = galsim.Shear(g1=g1, g2=g2)
gal = gal.shear(gal_shear) 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) gal = galsim.Convolve(psf, gal)
if fd_shear is not None:
gal = gal.shear(fd_shear)
# Use (explicit) stamps to draw # 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) 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 = stamp.photons
photons.x += x_nominal photons.x += x_nominal
photons.y += y_nominal photons.y += y_nominal
photons_list.append(photons) photons_list.append(photons)
del gal
# # [C6 TEST]
# print('xmax = %d, ymax = %d '%(xmax, ymax)) # 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 = galsim.ImageF(int(xmax * 1.1), int(ymax * 1.1))
stamp.wcs = real_wcs_local stamp.wcs = real_wcs_local
stamp.setCenter(x_nominal, y_nominal) stamp.setCenter(x_nominal, y_nominal)
bounds = stamp.bounds & galsim.BoundsI(0, chip.npix_x - 1, 0, chip.npix_y - 1) 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 bounds.area() > 0:
chip.img.setOrigin(0, 0)
if not big_galaxy: stamp[bounds] = chip.img[bounds]
for i in range(len(photons_list)):
if i == 0: if not big_galaxy:
chip.sensor.accumulate(photons_list[i], stamp) for i in range(len(photons_list)):
else: if i == 0:
chip.sensor.accumulate(photons_list[i], stamp, resume=True) 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: else:
sensor = galsim.Sensor() # Return code 0: object photons missed this detector
for i in range(len(photons_list)): print("obj %s missed"%(self.id))
if i == 0: self.logger.info("obj %s missed"%(self.id))
sensor.accumulate(photons_list[i], stamp) return 0, pos_shear
else:
sensor.accumulate(photons_list[i], stamp, resume=True) # # [C6 TEST]
# print("nphotons_sum = ", nphotons_sum)
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)
del photons_list del photons_list
del stamp 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, 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): exptime=150., normFilter=None, grating_split_pos=3685, fd_shear=None):
if normFilter is not None:
norm_thr_rang_ids = normFilter['SENSITIVITY'] > 0.001 norm_thr_rang_ids = normFilter['SENSITIVITY'] > 0.001
sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=self.param['mag_use_normal'], spectrum=self.sed, sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=self.param['mag_use_normal'], spectrum=self.sed,
norm_thr=normFilter, norm_thr=normFilter,
sWave=np.floor(normFilter[norm_thr_rang_ids][0][0]), sWave=np.floor(normFilter[norm_thr_rang_ids][0][0]),
eWave=np.ceil(normFilter[norm_thr_rang_ids][-1][0])) eWave=np.ceil(normFilter[norm_thr_rang_ids][-1][0]))
if sedNormFactor == 0: if sedNormFactor == 0:
return False return 2, None
else:
sedNormFactor = 1.
normalSED = Table(np.array([self.sed['WAVELENGTH'], self.sed['FLUX'] * sedNormFactor]).T, normalSED = Table(np.array([self.sed['WAVELENGTH'], self.sed['FLUX'] * sedNormFactor]).T,
names=('WAVELENGTH', 'FLUX')) names=('WAVELENGTH', 'FLUX'))
...@@ -262,7 +264,7 @@ class Galaxy(MockObject): ...@@ -262,7 +264,7 @@ class Galaxy(MockObject):
big_galaxy = False 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 big_galaxy = True
if self.getMagFilter(filt) <= 15 and (not big_galaxy): if self.getMagFilter(filt) <= 15 and (not big_galaxy):
...@@ -280,10 +282,10 @@ class Galaxy(MockObject): ...@@ -280,10 +282,10 @@ class Galaxy(MockObject):
bandpass = bandpass_list[i] bandpass = bandpass_list[i]
psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass, folding_threshold=folding_threshold) 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_shape = galsim.Shear(g1=self.e1_disk, g2=self.e2_disk)
disk = disk.shear(disk_shape) 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_shape = galsim.Shear(g1=self.e1_bulge, g2=self.e2_bulge)
bulge = bulge.shear(bulge_shape) bulge = bulge.shear(bulge_shape)
...@@ -299,11 +301,16 @@ class Galaxy(MockObject): ...@@ -299,11 +301,16 @@ class Galaxy(MockObject):
gal = gal.shear(gal_shear) gal = gal.shear(gal_shear)
gal = galsim.Convolve(psf, gal) 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), origin_star = [y_nominal - (starImg.center.y - starImg.ymin),
x_nominal - (starImg.center.x - starImg.xmin)] x_nominal - (starImg.center.x - starImg.xmin)]
starImg.setOrigin(0, 0)
gal_origin = [origin_star[0], origin_star[1]] 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] 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): ...@@ -313,6 +320,7 @@ class Galaxy(MockObject):
subImg_p1 = starImg.array[:, 0:subSlitPos] subImg_p1 = starImg.array[:, 0:subSlitPos]
star_p1 = galsim.Image(subImg_p1) star_p1 = galsim.Image(subImg_p1)
star_p1.setOrigin(0, 0)
origin_p1 = origin_star origin_p1 = origin_star
xcenter_p1 = min(x_nominal,grating_split_pos_chip-1) - 0 xcenter_p1 = min(x_nominal,grating_split_pos_chip-1) - 0
ycenter_p1 = y_nominal-0 ycenter_p1 = y_nominal-0
...@@ -329,6 +337,7 @@ class Galaxy(MockObject): ...@@ -329,6 +337,7 @@ class Galaxy(MockObject):
subImg_p2 = starImg.array[:, subSlitPos+1:starImg.array.shape[1]] subImg_p2 = starImg.array[:, subSlitPos+1:starImg.array.shape[1]]
star_p2 = galsim.Image(subImg_p2) star_p2 = galsim.Image(subImg_p2)
star_p2.setOrigin(0, 0)
origin_p2 = [origin_star[0], grating_split_pos_chip] origin_p2 = [origin_star[0], grating_split_pos_chip]
xcenter_p2 = max(x_nominal, grating_split_pos_chip - 1) - 0 xcenter_p2 = max(x_nominal, grating_split_pos_chip - 1) - 0
ycenter_p2 = y_nominal - 0 ycenter_p2 = y_nominal - 0
...@@ -368,16 +377,16 @@ class Galaxy(MockObject): ...@@ -368,16 +377,16 @@ class Galaxy(MockObject):
# print(self.y_nominal, starImg.center.y, starImg.ymin) # print(self.y_nominal, starImg.center.y, starImg.ymin)
del psf 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.): def getGSObj(self, psf, g1=0, g2=0, flux=None, filt=None, tel=None, exptime=150.):
if flux == None: if flux == None:
flux = self.getElectronFluxFilt(filt, tel, exptime) 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_shape = galsim.Shear(g1=self.e1_disk, g2=self.e2_disk)
disk = disk.shear(disk_shape) 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_shape = galsim.Shear(g1=self.e1_bulge, g2=self.e2_bulge)
bulge = bulge.shear(bulge_shape) bulge = bulge.shear(bulge_shape)
......
ObservationSim/MockObject/MockObject.py
View file @ 538b21ee
import galsim import galsim
import numpy as np import numpy as np
import astropy.constants as cons import astropy.constants as cons
from astropy import wcs
from astropy.table import Table from astropy.table import Table
from ObservationSim.MockObject._util import magToFlux, VC_A, convolveGaussXorders from ObservationSim.MockObject._util import magToFlux, VC_A, convolveGaussXorders
...@@ -12,53 +13,36 @@ from ObservationSim.MockObject.SpecDisperser import SpecDisperser ...@@ -12,53 +13,36 @@ from ObservationSim.MockObject.SpecDisperser import SpecDisperser
class MockObject(object): class MockObject(object):
def __init__(self, param, logger=None): def __init__(self, param, logger=None):
self.param = param self.param = param
for key in self.param:
setattr(self, key, self.param[key])
if self.param["star"] == 0: if self.param["star"] == 0:
self.type = "galaxy" self.type = "galaxy"
elif self.param["star"] == 1: elif self.param["star"] == 1:
self.type = "star" self.type = "star"
elif self.param["star"] == 2: elif self.param["star"] == 2:
self.type = "quasar" 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 self.sed = None
# Place holder for outputs # 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.additional_output_str = ""
self.fd_shear = None
self.logger = logger self.logger = logger
def getMagFilter(self, filt): def getMagFilter(self, filt):
if filt.filter_type in ["GI", "GV", "GU"]: if filt.filter_type in ["GI", "GV", "GU"]:
return self.param["mag_use_normal"] return self.param["mag_use_normal"]
return self.param["mag_%s" % filt.filter_type] return self.param["mag_%s" % filt.filter_type.lower()]
# (TEST) stamp size
# return 13.0
def getFluxFilter(self, filt): 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.): def getNumPhotons(self, flux, tel, exptime=150.):
pupil_area = tel.pupil_area * (100.) ** 2 # m^2 to cm^2 pupil_area = tel.pupil_area * (100.) ** 2 # m^2 to cm^2
...@@ -85,7 +69,7 @@ class MockObject(object): ...@@ -85,7 +69,7 @@ class MockObject(object):
print("\n") print("\n")
print("Before field distortion:\n") print("Before field distortion:\n")
print("x = %.2f, y = %.2f\n" % (self.posImg.x, self.posImg.y), flush=True) 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: if verbose:
print("After field distortion:\n") print("After field distortion:\n")
print("x = %.2f, y = %.2f\n" % (self.posImg.x, self.posImg.y), flush=True) print("x = %.2f, y = %.2f\n" % (self.posImg.x, self.posImg.y), flush=True)
...@@ -96,14 +80,12 @@ class MockObject(object): ...@@ -96,14 +80,12 @@ class MockObject(object):
dy = y - self.y_nominal dy = y - self.y_nominal
self.offset = galsim.PositionD(dx, dy) self.offset = galsim.PositionD(dx, dy)
from astropy import wcs
if img_header is not None: if img_header is not None:
self.real_wcs = galsim.FitsWCS(header=img_header) self.real_wcs = galsim.FitsWCS(header=img_header)
else: else:
self.real_wcs = None 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): def getRealPos(self, img, global_x=0., global_y=0., img_real_wcs=None):
img_global_pos = galsim.PositionD(global_x, global_y) img_global_pos = galsim.PositionD(global_x, global_y)
...@@ -141,7 +123,7 @@ class MockObject(object): ...@@ -141,7 +123,7 @@ class MockObject(object):
return img, stamp, isUpdated return img, stamp, isUpdated
def drawObj_multiband(self, tel, pos_img, psf_model, bandpass_list, filt, chip, nphotons_tot=None, g1=0, g2=0, 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: if nphotons_tot == None:
nphotons_tot = self.getElectronFluxFilt(filt, tel, exptime) nphotons_tot = self.getElectronFluxFilt(filt, tel, exptime)
# print("nphotons_tot = ", nphotons_tot) # print("nphotons_tot = ", nphotons_tot)
...@@ -151,7 +133,7 @@ class MockObject(object): ...@@ -151,7 +133,7 @@ class MockObject(object):
except Exception as e: except Exception as e:
print(e) print(e)
self.logger.error(e) self.logger.error(e)
return False return 2, None
nphotons_sum = 0 nphotons_sum = 0
photons_list = [] photons_list = []
...@@ -201,14 +183,6 @@ class MockObject(object): ...@@ -201,14 +183,6 @@ class MockObject(object):
star = star.withFlux(nphotons) star = star.withFlux(nphotons)
star = galsim.Convolve(psf, star) 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) stamp = star.drawImage(wcs=real_wcs_local, method='phot', offset=offset, save_photons=True)
xmax = max(xmax, stamp.xmax) xmax = max(xmax, stamp.xmax)
ymax = max(ymax, stamp.ymax) ymax = max(ymax, stamp.ymax)
...@@ -221,37 +195,31 @@ class MockObject(object): ...@@ -221,37 +195,31 @@ class MockObject(object):
stamp.wcs = real_wcs_local stamp.wcs = real_wcs_local
stamp.setCenter(x_nominal, y_nominal) stamp.setCenter(x_nominal, y_nominal)
bounds = stamp.bounds & galsim.BoundsI(0, chip.npix_x - 1, 0, chip.npix_y - 1) 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] # # (DEBUG)
for i in range(len(photons_list)): # print("stamp bounds: ", stamp.bounds)
if i == 0: # print(bounds)
chip.sensor.accumulate(photons_list[i], stamp) if bounds.area() > 0:
else: chip.img.setOrigin(0, 0)
chip.sensor.accumulate(photons_list[i], stamp, resume=True) stamp[bounds] = chip.img[bounds]
for i in range(len(photons_list)):
chip.img[bounds] = stamp[bounds] if i == 0:
chip.sensor.accumulate(photons_list[i], stamp)
chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin) else:
# Test stamp size chip.sensor.accumulate(photons_list[i], stamp, resume=True)
# print(xmax, ymax)
chip.img[bounds] = stamp[bounds]
# stamp = galsim.ImageF(int(xmax*1.1), int(ymax*1.1))
# stamp.wcs = self.localWCS chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin)
# stamp.setCenter(self.x_nominal, self.y_nominal) else:
# bounds = stamp.bounds & chip.img.bounds # Return code 0: object photons missed this detector
# stamp[bounds] = chip.img[bounds] print("obj %s missed"%(self.id))
# for i in range(len(photons_list)): self.logger.info("obj %s missed"%(self.id))
# if i == 0: return 0, pos_shear
# 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)
del photons_list del photons_list
del stamp 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): def addSLStoChipImage(self, sdp=None, chip=None, xOrderSigPlus=None, local_wcs=None):
spec_orders = sdp.compute_spec_orders() spec_orders = sdp.compute_spec_orders()
...@@ -302,17 +270,18 @@ class MockObject(object): ...@@ -302,17 +270,18 @@ class MockObject(object):
del spec_orders del spec_orders
def drawObj_slitless(self, tel, pos_img, psf_model, bandpass_list, filt, chip, nphotons_tot=None, g1=0, g2=0, 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): exptime=150., normFilter=None, grating_split_pos=3685, fd_shear=None):
norm_thr_rang_ids = normFilter['SENSITIVITY'] > 0.001 if normFilter is not None:
sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=self.param['mag_use_normal'], spectrum=self.sed, norm_thr_rang_ids = normFilter['SENSITIVITY'] > 0.001
norm_thr=normFilter, sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=self.param['mag_use_normal'], spectrum=self.sed,
sWave=np.floor(normFilter[norm_thr_rang_ids][0][0]), norm_thr=normFilter,
eWave=np.ceil(normFilter[norm_thr_rang_ids][-1][0])) sWave=np.floor(normFilter[norm_thr_rang_ids][0][0]),
# print(self.x_nominal, self.y_nominal, chip.bound) eWave=np.ceil(normFilter[norm_thr_rang_ids][-1][0]))
if sedNormFactor == 0:
if sedNormFactor == 0: return 2, None
return False else:
sedNormFactor = 1.
if self.getMagFilter(filt) <= 15: if self.getMagFilter(filt) <= 15:
folding_threshold = 5.e-4 folding_threshold = 5.e-4
...@@ -347,11 +316,12 @@ class MockObject(object): ...@@ -347,11 +316,12 @@ class MockObject(object):
star = galsim.DeltaFunction(gsparams=gsp) star = galsim.DeltaFunction(gsparams=gsp)
star = star.withFlux(tel.pupil_area * exptime) star = star.withFlux(tel.pupil_area * exptime)
star = galsim.Convolve(psf, star) 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), origin_star = [y_nominal - (starImg.center.y - starImg.ymin),
x_nominal - (starImg.center.x - starImg.xmin)] x_nominal - (starImg.center.x - starImg.xmin)]
starImg.setOrigin(0,0)
gal_origin = [origin_star[0], origin_star[1]] 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] 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): ...@@ -362,6 +332,7 @@ class MockObject(object):
subImg_p1 = starImg.array[:, 0:subSlitPos] subImg_p1 = starImg.array[:, 0:subSlitPos]
star_p1 = galsim.Image(subImg_p1) star_p1 = galsim.Image(subImg_p1)
origin_p1 = origin_star origin_p1 = origin_star
star_p1.setOrigin(0,0)
xcenter_p1 = min(x_nominal, grating_split_pos_chip - 1) - 0 xcenter_p1 = min(x_nominal, grating_split_pos_chip - 1) - 0
ycenter_p1 = y_nominal - 0 ycenter_p1 = y_nominal - 0
...@@ -377,6 +348,7 @@ class MockObject(object): ...@@ -377,6 +348,7 @@ class MockObject(object):
subImg_p2 = starImg.array[:, subSlitPos + 1:starImg.array.shape[1]] subImg_p2 = starImg.array[:, subSlitPos + 1:starImg.array.shape[1]]
star_p2 = galsim.Image(subImg_p2) star_p2 = galsim.Image(subImg_p2)
star_p2.setOrigin(0, 0)
origin_p2 = [origin_star[0], grating_split_pos_chip] origin_p2 = [origin_star[0], grating_split_pos_chip]
xcenter_p2 = max(x_nominal, grating_split_pos_chip - 1) - 0 xcenter_p2 = max(x_nominal, grating_split_pos_chip - 1) - 0
ycenter_p2 = y_nominal - 0 ycenter_p2 = y_nominal - 0
...@@ -414,7 +386,7 @@ class MockObject(object): ...@@ -414,7 +386,7 @@ class MockObject(object):
self.addSLStoChipImage(sdp=sdp, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=real_wcs_local) self.addSLStoChipImage(sdp=sdp, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=real_wcs_local)
del sdp del sdp
del psf del psf
return True, pos_shear return 1, pos_shear
def SNRestimate(self, img_obj, flux, noise_level=0.0, seed=31415): def SNRestimate(self, img_obj, flux, noise_level=0.0, seed=31415):
img_flux = img_obj.added_flux img_flux = img_obj.added_flux
...@@ -425,6 +397,3 @@ class MockObject(object): ...@@ -425,6 +397,3 @@ class MockObject(object):
sig_obj = np.std(stamp.array) sig_obj = np.std(stamp.array)
snr_obj = img_flux / sig_obj snr_obj = img_flux / sig_obj
return snr_obj return snr_obj
# def getObservedEll(self, g1=0, g2=0):
# return 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
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