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LastEditors: xin zhangxinbjfu@gmail.com
Description: In User Settings Edit
FilePath: /undefined/Users/zhangxin/Work/SlitlessSim/sls_lit_demo/simDemo.py
'''
import galsim
import SpecDisperser
# from numpy import *
import numpy as np
from scipy import interpolate
import astropy.constants as acon
from astropy.table import Table
import math
from astropy.io import fits
import random
from astropy.table import Table
import matplotlib.pyplot as plt
import mpi4py.MPI as MPI
import os,sys
from . import Config
class SpecGenerator(object):
def __init__(self,sedFn = 'a.txt', grating = 'GI', beam = 'A', aper = 2.0, xcenter = 5000,ycenter = 5000, p_size = 0.074, psf = None, skybg = 0.3, dark = 0.02, readout = 5, t = 150, expNum = 1, config = None, saturation = 90000):
self.sedFile = sedFn
self.grating = grating
self.beam = beam
self.aper = aper
self.xcenter = xcenter
self.ycenter = ycenter
self.p_size = p_size
self.psf = psf
self.skybg = skybg
self.dark = dark
self.readout = readout
self.t = t
self.expNum = expNum
self.config = config
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'''
@description:
@param {*} fn: file name, include 2 column, wavelength(A) and flux(erg/s/cm2/A)
@param {*} s: band start , unit A
@param {*} e; end, unit A
@param {*} deltL: sample interval for SED
@return {*} sed, unit photo/s/m2/A
'''
def generateSEDfromFiles(self, fn, s, e, deltL):
"""
s: lambda start, unit A
e: lambda end, unit A
return:
SEDs is array, 2-dim, (gal_num+1)*(wavelength size), last row is wavelength
"""
lamb = np.arange(s, e + deltL, deltL)
spec_orig = np.loadtxt(fn)
speci = interpolate.interp1d(spec_orig[:, 0], spec_orig[:, 1])
y = speci(lamb)
# erg/s/cm2/A --> photo/s/m2/A
flux = y * lamb / (acon.h.value * acon.c.value) * 1e-13
SED = Table(np.array([lamb, flux]).T,names=('WAVELENGTH', 'FLUX'))
return SED
def generateSpec1dforGal(self, s_n = 1.0, re = 1, pa = 90,q_ell = 0.6,limitfluxratio=0.9):
specConfile = self.config.conFiles[self.grating]
throughput_f = self.config.senFisle[self.grating] + '.' + self.config.orderIDs[self.beam] + '.fits'
sed = self.generateSEDfromFiles(self.sedFile,2000,10000,0.5)
# print(skybg)
# print(specConfile)
# print(throughput_f)
# plt.figure()
# plt.plot(sed['WAVELENGTH'], sed['FLUX'])
gal = galsim.Sersic(s_n, half_light_radius=re)
gal_pa = pa * galsim.degrees
gal_ell = gal.shear(q=q_ell, beta=gal_pa)
conv_gal = galsim.Convolve([gal_ell,self.psf])
stamp = conv_gal.drawImage(wcs=galsim.PixelScale(self.p_size))*self.t*self.expNum*math.pi*(self.aper/2)*(self.aper/2)
origin_star = [self.ycenter - (stamp.center.y - stamp.ymin),
self.xcenter - (stamp.center.x - stamp.xmin)]
sdp = SpecDisperser.SpecDisperser(orig_img=stamp, xcenter=self.xcenter,
ycenter=self.ycenter, origin=origin_star,
tar_spec=sed,
conf=specConfile,
isAlongY=0)
spec_orders = sdp.compute_spec_orders()
thp = Table.read(throughput_f)
thp_i = interpolate.interp1d(thp['WAVELENGTH'], thp['SENSITIVITY'])
Aimg_orig = spec_orders[self.beam][0]
Aimg_ = Aimg_ + (self.skybg + self.dark)*self.t*self.expNum
Aimg_ = self.addReadoutNois(img = Aimg_, readout = self.readout)
Aimg = Aimg_ - (self.skybg + self.dark)*self.t*self.expNum
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wave_pix = spec_orders[self.beam][5]
wave_pos = spec_orders[self.beam][3]
wave_pos_y=spec_orders[self.beam][4]
sh = Aimg.shape
spec_pix = np.zeros(sh[1])
err2_pix = np.zeros(sh[1])
# print(spec_orders[beamOrder][4])
# print(sh)
# plt.figure()
# plt.imshow(Aimg)
y_cent_pos = int(np.round(np.mean(wave_pos_y)))
tFlux = np.sum(spec_orders[self.beam][0])
# print(tFlux)
fluxRatio = 0
for i in range(int(sh[0]/2)):
pFlux = np.sum(spec_orders[self.beam][0][y_cent_pos-i:y_cent_pos+i+1])
fluxRatio = pFlux/tFlux
if fluxRatio>limitfluxratio:
break
y_range = i
# print(y_range, fluxRatio)
y_len_pix = 2 * y_range + 1
for i in range(sh[1]):
spec_pix[i] = sum(Aimg[y_cent_pos-y_range:y_cent_pos+y_range+1, i])
err2_pix[i] = sum(Aimg_orig[y_cent_pos-y_range:y_cent_pos+y_range+1, i]) + (self.skybg + self.dark)*self.t * y_len_pix * self.expNum + self.readout*self.readout * y_len_pix * self.expNum
bRange = self.config.bandRanges[self.grating]
wave_flux = np.zeros(wave_pix.shape[0])
err_flux = np.zeros(wave_pix.shape[0])
for i in np.arange(1, wave_pix.shape[0] - 1):
w = wave_pix[i]
if (bRange[0] <= w <= bRange[1]):
thp_w = thp_i(w)
deltW = np.abs(w - wave_pix[i - 1]) / 2 + np.abs(wave_pix[i + 1] - w) / 2
err = err2_pix[wave_pos[0] - 1 + i]
# err = err/ t / deltW
err = np.sqrt(err)/ self.t / deltW/ thp_w /self.expNum
# err = err / thp_w
else:
f = 0
err = 0
wave_flux[i] = f
err_flux[i] = err
Aimg_cal = Aimg_[y_cent_pos-y_range:y_cent_pos+y_range+1, specRangeImg]
ids = Aimg_cal > self.saturation
#1. saturation pixel number, 2. total pixel number, 3 saturation ratio, 4.flux ratio in photo aperture,5.max value,6.min value
saturePix = np.zeros(6)
saturePix[0] = Aimg_cal[ids].shape[0]
saturePix[1] = Aimg_cal.shape[0]*Aimg_cal.shape[1]
saturePix[2] = saturePix[0]/saturePix[1]
saturePix[3] = fluxRatio
saturePix[4] = np.amax(Aimg_cal)
saturePix[5] = np.amin(Aimg_cal)
idx = (wave_pix >= bRange[0]-100)
idx1 = (wave_pix[idx] <= bRange[1]+100)
specTab = Table(np.array([wave_pix[idx][idx1], wave_flux[idx][idx1], err_flux[idx][idx1]]).T,names=('WAVELENGTH', 'FLUX','ERR'))
# spec_orig = np.loadtxt(sedFile)
# plt.figure()
# plt.plot(spec_orig[:,0], spec_orig[:,1])
# plt.figure()
# plt.errorbar(wave_pix[idx][idx1], wave_flux[idx][idx1],err_flux[idx][idx1])
# plt.legend([self.sedFile])
# # plt.plot(wave_pix[idx][idx1], wave_flux[idx][idx1])
# plt.show()
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def generateSpec1dforStar(self,limitfluxratio = 0.8):
specConfile = self.config.conFiles[self.grating]
throughput_f = self.config.senFisle[self.grating] + '.' + self.config.orderIDs[self.beam] + '.fits'
sed = self.generateSEDfromFiles(self.sedFile,2000,10000,0.5)
stamp = self.psf.drawImage(wcs=galsim.PixelScale(self.p_size))*self.t*self.expNum*math.pi*(self.aper/2)*(self.aper/2)
origin_star = [self.ycenter - (stamp.center.y - stamp.ymin),
self.xcenter - (stamp.center.x - stamp.xmin)]
sdp = SpecDisperser.SpecDisperser(orig_img=stamp, xcenter=self.xcenter,
ycenter=self.ycenter, origin=origin_star,
tar_spec=sed,
conf=specConfile,
isAlongY=0)
spec_orders = sdp.compute_spec_orders()
thp = Table.read(throughput_f)
thp_i = interpolate.interp1d(thp['WAVELENGTH'], thp['SENSITIVITY'])
Aimg_orig = spec_orders[self.beam][0]
Aimg_ = Aimg_ + (self.skybg + self.dark)*self.t*self.expNum
Aimg_ = self.addReadoutNois(img = Aimg_, readout = self.readout)
Aimg = Aimg_ - (self.skybg + self.dark)*self.t*self.expNum
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wave_pix = spec_orders[self.beam][5]
wave_pos = spec_orders[self.beam][3]
wave_pos_y=spec_orders[self.beam][4]
sh = Aimg.shape
spec_pix = np.zeros(sh[1])
err2_pix = np.zeros(sh[1])
# print(spec_orders[beamOrder][4])
# print(sh)
# plt.figure()
# plt.imshow(Aimg)
y_cent_pos = int(np.round(np.mean(wave_pos_y)))
tFlux = np.sum(spec_orders[self.beam][0])
# print(tFlux)
fluxRatio = 0
for i in range(int(sh[0]/2)):
pFlux = np.sum(spec_orders[self.beam][0][y_cent_pos-i:y_cent_pos+i+1])
fluxRatio = pFlux/tFlux
if fluxRatio>limitfluxratio:
break
y_range = i
# print(y_range, fluxRatio)
y_len_pix = 2 * y_range + 1
for i in range(sh[1]):
spec_pix[i] = sum(Aimg[y_cent_pos-y_range:y_cent_pos+y_range+1, i])
err2_pix[i] = sum(Aimg_orig[y_cent_pos-y_range:y_cent_pos+y_range+1, i]) + (self.skybg + self.dark)*self.t * y_len_pix * self.expNum + self.readout*self.readout * y_len_pix * self.expNum
bRange = self.config.bandRanges[self.grating]
wave_flux = np.zeros(wave_pix.shape[0])
err_flux = np.zeros(wave_pix.shape[0])
for i in np.arange(1, wave_pix.shape[0] - 1):
w = wave_pix[i]
if (bRange[0] <= w <= bRange[1]):
thp_w = thp_i(w)
deltW = np.abs(w - wave_pix[i - 1]) / 2 + np.abs(wave_pix[i + 1] - w) / 2
f = spec_pix[wave_pos[0] - 1 + i]
f = f / self.t / thp_w / deltW /self.expNum
err = err2_pix[wave_pos[0] - 1 + i]
# err = err/ t / deltW
err = np.sqrt(err)/ self.t / deltW/ thp_w /self.expNum
# err = err / thp_w
else:
f = 0
err = 0
wave_flux[i] = f
err_flux[i] = err
Aimg_cal = Aimg_[y_cent_pos-y_range:y_cent_pos+y_range+1, specRangeImg]
ids = Aimg_cal > self.saturation
#1. saturation pixel number, 2. total pixel number, 3 saturation ratio, 4.flux ratio in photo aperture,5.max value,6.min value
saturePix = np.zeros(6)
saturePix[0] = Aimg_cal[ids].shape[0]
saturePix[1] = Aimg_cal.shape[0]*Aimg_cal.shape[1]
saturePix[2] = saturePix[0]/saturePix[1]
saturePix[3] = fluxRatio
saturePix[4] = np.amax(Aimg_cal)
saturePix[5] = np.amin(Aimg_cal)
idx = (wave_pix >= bRange[0]-100)
idx1 = (wave_pix[idx] <= bRange[1]+100)
specTab = Table(np.array([wave_pix[idx][idx1], wave_flux[idx][idx1], err_flux[idx][idx1]]).T,names=('WAVELENGTH', 'FLUX','ERR'))
# spec_orig = np.loadtxt(sedFile)
# plt.figure()
# plt.plot(spec_orig[:,0], spec_orig[:,1])
# plt.figure()
# plt.errorbar(wave_pix[idx][idx1], wave_flux[idx][idx1],err_flux[idx][idx1])
# plt.legend([self.sedFile])
# # plt.plot(wave_pix[idx][idx1], wave_flux[idx][idx1])
# plt.show()