""" generate image header """ import numpy as np from astropy.io import fits import astropy.wcs as pywcs from collections import OrderedDict # from scipy import math import random import os import sys import astropy.coordinates as coord from astropy.coordinates import SkyCoord from astropy.wcs.utils import fit_wcs_from_points from astropy.time import Time from astropy import wcs from ObservationSim.Config._util import get_obs_id, get_file_type from datetime import datetime, timezone # import socket import platform import toml def chara2digit(char): """ Function to judge and convert characters to digitals Parameters ---------- """ try: float(char) # for int, long and float except ValueError: pass return char else: data = float(char) return data def read_header_parameter(filename='global_header.param'): """ Function to read the header parameters Parameters ---------- """ name = [] value = [] description = [] for line in open(filename): line = line.strip("\n") arr = line.split('|') # csvReader = csv.reader(csvDataFile) # for arr in csvReader: name.append(arr[0]) # print(arr[0],arr[1]) value.append(chara2digit(arr[1])) description.append(arr[2]) # print(value) return name, value, description def rotate_CD_matrix(cd, pa_aper): """Rotate CD matrix Parameters ---------- cd: (2,2) array CD matrix pa_aper: float Position angle, in degrees E from N, of y axis of the detector Returns ------- cd_rot: (2,2) array Rotated CD matrix Comments -------- `astropy.wcs.WCS.rotateCD` doesn't work for non-square pixels in that it doesn't preserve the pixel scale! The bug seems to come from the fact that `rotateCD` assumes a transposed version of its own CD matrix. """ rad = np.deg2rad(-pa_aper) mat = np.zeros((2,2)) mat[0,:] = np.array([np.cos(rad),-np.sin(rad)]) mat[1,:] = np.array([np.sin(rad),np.cos(rad)]) cd_rot = np.dot(mat, cd) return cd_rot def calcaluteSLSRotSkyCoor(pix_xy = None,rot_angle = 1, xlen = 9216, ylen = 9232, w = None): rad = np.deg2rad(rot_angle) mat = np.zeros((2,2)) mat[0,:] = np.array([np.cos(rad),-np.sin(rad)]) mat[1,:] = np.array([np.sin(rad),np.cos(rad)]) center = np.array([xlen/2, ylen/2]) rot_pix = np.dot(mat, pix_xy-center) + center skyCoor = w.wcs_pix2world(np.array([rot_pix]), 1) return skyCoor # def Header_extention(xlen = 9216, ylen = 9232, gain = 1.0, readout = 5.0, dark = 0.02,saturation=90000, row_num = 1, col_num = 1): # # """ Creat an image frame for CCST with multiple extensions # # Parameters # ---------- # # """ # # flag_ltm_x = [0,1,-1,1,-1] # flag_ltm_y = [0,1,1,-1,-1] # flag_ltv_x = [0,0,1,0,1] # flag_ltv_y = [0,0,0,1,1] # # detector_size_x = int(xlen) # detector_size_y = int(ylen) # # data_x = str(int(detector_size_x)) # data_y = str(int(detector_size_y)) # # data_sec = '[1:'+data_x+',1:'+data_y+']' # e_header_fn = os.path.split(os.path.realpath(__file__))[0] + '/extension_header.param' # name, value, description = read_header_parameter(e_header_fn) # f = open(os.path.split(os.path.realpath(__file__))[0] + '/filter.lst') # s = f.readline() # s = s.strip("\n") # filters = s.split(' ') # s = f.readline() # s = s.strip("\n") # filterID = s.split() # # s = f.readline() # s = s.strip("\n") # CCDID = s.split() # # k = (row_num-1)*6+col_num # # h_iter = 0 # for n1,v1,d1 in zip(name, value, description): # if n1=='EXTNAME': # value[h_iter] = 'RAW,'+CCDID[k-1].rjust(2,'0') # if n1=='CCDNAME': # value[h_iter] = 'ccd' + CCDID[k-1].rjust(2,'0') # if n1=='AMPNAME': # value[h_iter] = 'ccd' + CCDID[k-1].rjust(2,'0') + ':A' # if n1=='GAIN': # value[h_iter] = gain # if n1=='RDNOISE': # value[h_iter] = readout # if n1=='SATURATE': # value[h_iter] = saturation # if n1=='CCDCHIP': # value[h_iter] = 'ccd' + CCDID[k-1].rjust(2,'0') # if n1=='CCDLABEL': # value[h_iter] = filters[k-1] + '-' + filterID[k-1] # if n1=='DATASEC': # value[h_iter] = data_sec # # h_iter = h_iter + 1 # # # return name, value, description ##9232 9216 898 534 1309 60 -40 -23.4333 def WCS_def(xlen = 9216, ylen = 9232, gapy = 898.0, gapx1 = 534, gapx2 = 1309, ra_ref = 60, dec_ref = -40, pa = -23.433, pixel_scale = 0.074, pixel_size=1e-2, rotate_chip=0., filter = 'GI', row_num = None, col_num = None, xcen = None, ycen = None): """ Creat a wcs frame for CCST with multiple extensions Parameters ---------- """ r_dat = OrderedDict() r_dat['EQUINOX'] = 2000.0 r_dat['WCSDIM'] = 2.0 r_dat['CTYPE1'] = 'RA---TAN' r_dat['CTYPE2'] = 'DEC--TAN' r_dat['CRVAL1'] = ra_ref r_dat['CRVAL2'] = dec_ref flag_x = [0, 1, -1, 1, -1] flag_y = [0, 1, 1, -1, -1] flag_ext_x = [0,-1,1,-1,1] flag_ext_y = [0,-1,-1,1,1] pa_aper = pa if (row_num is not None) and (col_num is not None): x_num = 6 y_num = 5 detector_num = x_num*y_num detector_size_x = xlen detector_size_y = ylen gap_y = gapy gap_x = [gapx1,gapx2] gap_x1_num = 3 gap_x2_num = 2 y_center = (detector_size_y*y_num+gap_y*(y_num-1))/2 x_center = (detector_size_x*x_num+gap_x[0]*gap_x1_num+gap_x[1]*gap_x2_num)/2 gap_x_map = np.array([[0,0,0,0,0],[gap_x[0],gap_x[1],gap_x[1],gap_x[1],gap_x[1]],[gap_x[1],gap_x[0],gap_x[0],gap_x[0],gap_x[0]],[gap_x[0],gap_x[0],gap_x[0],gap_x[0],gap_x[0]],[gap_x[0],gap_x[0],gap_x[0],gap_x[0],gap_x[1]],[gap_x[1],gap_x[1],gap_x[1],gap_x[1],gap_x[0]]]) j = row_num i = col_num # ccdnum = str((j-1)*5+i) x_ref, y_ref = detector_size_x*i + sum(gap_x_map[0:i,j-1]) - detector_size_x/2. , (detector_size_y+gap_y)*j-gap_y-detector_size_y/2 for k in range(1,2): cd = np.array([[ pixel_scale, 0], [0, pixel_scale]])/3600.*flag_x[k] cd_rot = rotate_CD_matrix(cd, pa_aper) # f = open("CCD"+ccdnum.rjust(2,'0')+"_extension"+str(k)+"_wcs.param","w") r_dat['CRPIX1'] = flag_ext_x[k]*((x_ref+flag_ext_x[k]*detector_size_x/2)-x_center) r_dat['CRPIX2'] = flag_ext_y[k]*((y_ref+flag_ext_y[k]*detector_size_y/2)-y_center) r_dat['CD1_1'] = cd_rot[0,0] r_dat['CD1_2'] = cd_rot[0,1] r_dat['CD2_1'] = cd_rot[1,0] r_dat['CD2_2'] = cd_rot[1,1] if filter in ['GU', 'GV', 'GI']: w = wcs.WCS(naxis=2) w.wcs.crpix = [r_dat['CRPIX1'], r_dat['CRPIX2']] w.wcs.cd = cd_rot w.wcs.crval = [ra_ref, dec_ref] w.wcs.ctype = [r_dat['CTYPE1'], r_dat['CTYPE2']] # test_center_o = w.wcs_pix2world(np.array([[xlen / 2, ylen / 2]]), 1) sls_rot = rotate_chip if i > 2: sls_rot = -sls_rot sn_x = 30 sn_y = 30 x_pixs = np.zeros(sn_y * sn_x) y_pixs = np.zeros(sn_y * sn_x) xpixs_line = np.linspace(1, xlen, sn_x) ypixs_line = np.linspace(1, ylen, sn_y) sky_coors = [] for n1, y in enumerate(ypixs_line): for n2, x in enumerate(xpixs_line): i_pix = n1 * sn_x + n2 x_pixs[i_pix] = x y_pixs[i_pix] = y pix_coor = np.array([x, y]) sc1 = calcaluteSLSRotSkyCoor(pix_xy=pix_coor, rot_angle=sls_rot, xlen=xlen, ylen=ylen, w=w) # print(sc1[0,0],sc1[0,1]) sky_coors.append((sc1[0, 0], sc1[0, 1])) wcs_new = fit_wcs_from_points(xy=np.array([x_pixs, y_pixs]), world_coords=SkyCoord(sky_coors, frame="icrs", unit="deg"), projection='TAN') # print(wcs_new) # test_center = wcs_new.wcs_pix2world(np.array([[xlen / 2, ylen / 2]]), 1) # # print(test_center - test_center_o) r_dat['CD1_1'] = wcs_new.wcs.cd[0, 0] r_dat['CD1_2'] = wcs_new.wcs.cd[0, 1] r_dat['CD2_1'] = wcs_new.wcs.cd[1, 0] r_dat['CD2_2'] = wcs_new.wcs.cd[1, 1] r_dat['CRPIX1'] = wcs_new.wcs.crpix[0] r_dat['CRPIX2'] = wcs_new.wcs.crpix[1] r_dat['CRVAL1'] = wcs_new.wcs.crval[0] r_dat['CRVAL2'] = wcs_new.wcs.crval[1] elif (xcen is not None) and (ycen is not None): xcen, ycen = xcen/pixel_size, ycen/pixel_size x1, y1 = xcen - xlen/2., ycen - ylen/2. r_dat['CRPIX1'] = -x1 r_dat['CRPIX2'] = -y1 # cd = np.array([[ pixel_scale, 0], [0, pixel_scale]])/3600.*flag_x[1] cd = np.array([[ pixel_scale, 0], [0, -pixel_scale]])/3600. cd_rot = rotate_CD_matrix(cd, pa_aper) r_dat['CD1_1'] = cd_rot[0,0] r_dat['CD1_2'] = cd_rot[0,1] r_dat['CD2_1'] = cd_rot[1,0] r_dat['CD2_2'] = cd_rot[1,1] w = wcs.WCS(naxis=2) w.wcs.crpix = [r_dat['CRPIX1'], r_dat['CRPIX2']] w.wcs.cd = cd_rot w.wcs.crval = [ra_ref, dec_ref] w.wcs.ctype = [r_dat['CTYPE1'], r_dat['CTYPE2']] sn_x = 30 sn_y = 30 x_pixs = np.zeros(sn_y * sn_x) y_pixs = np.zeros(sn_y * sn_x) xpixs_line = np.linspace(1, xlen, sn_x) ypixs_line = np.linspace(1, ylen, sn_y) sky_coors = [] for n1, y in enumerate(ypixs_line): for n2, x in enumerate(xpixs_line): i_pix = n1 * sn_x + n2 x_pixs[i_pix] = x y_pixs[i_pix] = y pix_coor = np.array([x, y]) sc1 = calcaluteSLSRotSkyCoor(pix_xy=pix_coor, rot_angle=rotate_chip, xlen=xlen, ylen=ylen, w=w) sky_coors.append((sc1[0, 0], sc1[0, 1])) wcs_new = fit_wcs_from_points(xy=np.array([x_pixs, y_pixs]), world_coords=SkyCoord(sky_coors, frame="icrs", unit="deg"), projection='TAN') r_dat['CD1_1'] = wcs_new.wcs.cd[0, 0] r_dat['CD1_2'] = wcs_new.wcs.cd[0, 1] r_dat['CD2_1'] = wcs_new.wcs.cd[1, 0] r_dat['CD2_2'] = wcs_new.wcs.cd[1, 1] r_dat['CRPIX1'] = wcs_new.wcs.crpix[0] r_dat['CRPIX2'] = wcs_new.wcs.crpix[1] r_dat['CRVAL1'] = wcs_new.wcs.crval[0] r_dat['CRVAL2'] = wcs_new.wcs.crval[1] else: raise ValueError('In function WCS_def(): Either (row_num, col_num) or (xcen, ycen, pixel_size) should be given') return r_dat #TODO project_cycle is temporary， is not in header defined, delete in future def generatePrimaryHeader(xlen = 9216, ylen = 9232, pointing_id = '00000001', pointing_type_code='101', ra = 60, dec = -40, pixel_scale = 0.074, time_pt = None, im_type = 'SCI', exptime=150., sat_pos = [0.,0.,0.], sat_vel = [0., 0., 0.], project_cycle=6, run_counter=0, chip_name="01"): # array_size1, array_size2, flux, sigma = int(argv[1]), int(argv[2]), 1000.0, 5.0 # k = (row_num-1)*6+col_num # ccdnum = str(k) datetime_obs = datetime.utcfromtimestamp(time_pt) datetime_obs = datetime_obs.replace(tzinfo=timezone.utc) # print(datetime_obs.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5]) datetime_obs = datetime.utcfromtimestamp(np.round(datetime_obs.timestamp(), 1)) # print(datetime_obs.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5]) # date_obs = datetime_obs.strftime("%y%m%d") # time_obs = datetime_obs.strftime("%H%M%S%f")[:-5] g_header_fn = os.path.split(os.path.realpath(__file__))[0] + '/csst_msc_l0_ms.fits' f = open(os.path.split(os.path.realpath(__file__))[0] + '/filter.lst') s = f.readline() s = s.strip("\n") filters = s.split(' ') s = f.readline() s = s.strip("\n") filterID = s.split() s = f.readline() s = s.strip("\n") CCDID = s.split() # h_prim = fits.Header() # h_prim = fits.Header.fromfile(g_header_fn) header_fits = fits.open(g_header_fn) h_prim = header_fits[0].header # h_prim = fits.Header() # with open(g_header_fn, 'r') as file: # header_toml = toml.load(file) # h_key='HDU0' # for key, value in header_toml[h_key].items(): # h_card = fits.card.Card(header_toml[h_key][key]['key'],header_toml[h_key][key]['example'],header_toml[h_key][key]['comment']) # h_prim.append(h_card) # h_prim['PIXSIZE1'] = xlen # h_prim['PIXSIZE2'] = ylen h_prim['DATE'] = datetime_obs.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] h_prim['DATE-OBS'] = datetime_obs.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] # h_prim['DATE'] = '20'+date[0:2]+'-' + date[2:4]+'-'+date[4:6] + 'T' + time_obs[0:2]+':'+time_obs[2:4]+':'+time_obs[4:6] # h_prim['TIME'] = time_obs[0:2]+':'+time_obs[2:4]+':'+time_obs[4:6] # h_prim['DATE-OBS'] = '20'+date[0:2]+'-' + date[2:4]+'-'+date[4:6] + 'T' + time_obs[0:2]+':'+time_obs[2:4]+':'+time_obs[4:6] # h_prim['TIME-OBS'] = time_obs[0:2]+':'+time_obs[2:4]+':'+time_obs[4:6] # h_prim['DETECTOR'] = 'CHIP'+CCDID[k-1].rjust(2,'0') h_prim['RA_OBJ'] = ra h_prim['DEC_OBJ'] = dec # obs_type = {'SCI': '01', 'BIAS': '03', 'DARK': '07', 'FLAT': '11', 'CRS': '98', 'CRD': '99'} # # OBS_id = '1'+ obs_type[im_type] + str(int(project_cycle)) + pointNum.rjust(7,'0') # OBS_id = '1'+ obs_type[im_type] + str(int(project_cycle)) + str(int(run_counter)).rjust(2, '0') + pointNum.rjust(5,'0') OBS_id = get_obs_id(img_type=im_type, project_cycle=project_cycle, run_counter=run_counter, pointing_id=pointing_id, pointing_type_code = pointing_type_code) # h_prim['OBJECT'] = str(int(project_cycle)) + pointNum.rjust(7, '0') h_prim['OBJECT'] = pointing_id h_prim['OBSID'] = OBS_id # h_prim['TELFOCUS'] = 'f/14' h_prim['EXPTIME'] = exptime # # Define file types # file_type = {'SCI':'SCIE', 'BIAS':'BIAS', 'DARK':'DARK', 'FLAT':'FLAT', 'CRS':'CRS', 'CRD':'CRD','CALS':'CALS','CALF':'CALF'} # h_prim['FILETYPE'] = file_type[im_type] # h_prim['FILETYPE'] = get_file_type(img_type=im_type) h_prim['FILETYPE'] = im_type co = coord.SkyCoord(ra, dec, unit='deg') ra_hms = format(co.ra.hms.h, '02.0f') + format(co.ra.hms.m, '02.0f') + format(co.ra.hms.s, '02.1f') dec_hms = format(co.dec.dms.d, '02.0f') + format(abs(co.dec.dms.m), '02.0f') + format(abs(co.dec.dms.s), '02.0f') if dec >= 0: h_prim['TARGET'] = ra_hms + '+' + dec_hms else: h_prim['TARGET'] = ra_hms + dec_hms # # h_prim['RA_NOM'] = ra_hms # h_prim['DEC_NOM'] = dec_hms h_prim['RA_PNT0'] = ra h_prim['DEC_PNT0'] = dec h_prim['RA_PNT1'] = ra h_prim['DEC_PNT1'] = dec # h_prim['PIXSCAL1'] = pixel_scale # h_prim['PIXSCAL2'] = pixel_scale ttt = h_prim['DATE'] tstart = Time(ttt) h_prim['EXPSTART'] = round(tstart.mjd, 5) h_prim['CABSTART'] = h_prim['EXPSTART'] # tend = Time(tstart.cxcsec + h_prim['EXPTIME'], format="cxcsec") tend = Time(tstart.mjd + h_prim['EXPTIME']/86400., format="mjd") h_prim['EXPEND'] = round(tend.mjd, 5) h_prim['CABEND'] = h_prim['EXPEND'] # file_start_time = '20' + date[0:6] + time_obs[0:6] file_start_time = datetime_obs.strftime("%Y%m%d%H%M%S") end_time_str = str(tend.datetime) file_end_time = end_time_str[0:4] + end_time_str[5:7]+end_time_str[8:10] + end_time_str[11:13] + end_time_str[14:16] + end_time_str[17:19] # h_prim['FILENAME'] = 'CSST_MSC_MS_' + im_type + '_' + file_start_time + '_' + file_end_time + '_' + OBS_id + '_' + CCDID[ # k - 1].rjust(2, '0') + '_L0_V01' h_prim['FILENAME'] = 'CSST_MSC_MS_' + h_prim['FILETYPE'] + '_' + file_start_time + '_' + file_end_time + '_' + OBS_id + '_' + chip_name + '_L0_V01' h_prim['POSI0_X'] = sat_pos[0] h_prim['POSI0_Y'] = sat_pos[1] h_prim['POSI0_Z'] = sat_pos[2] h_prim['VELO0_X'] = sat_vel[0] h_prim['VELO0_Y'] = sat_vel[1] h_prim['VELO0_Z'] = sat_vel[2] # h_prim['RA_PNT0'] = ra_hms # h_prim['DEC_PNT0'] = dec_hms # Get version of CSSTSim Package from pkg_resources import get_distribution # h_prim['SIM_VER'] = (get_distribution("CSSTSim").version, "Version of CSST MSC simulation software") currentDateAndTime = datetime.now() compute_name = platform.node() h_prim['FITSSWV'] = get_distribution("csst_msc_sim").version +'_' + currentDateAndTime.strftime("%Y%m%d") + '_' +compute_name h_prim['EPOCH'] = round((Time(h_prim['EXPSTART'], format='mjd', scale='tcb')).jyear, 1) return h_prim def generateExtensionHeader(chip, xlen = 9216, ylen = 9232,ra = 60, dec = -40, pa = -23.433, gain = 1.0, readout = 5.0, dark = 0.02, saturation=90000, pixel_scale = 0.074, pixel_size=1e-2, extName='SCIE', row_num = None, col_num = None, xcen=None, ycen=None, timestamp = 1621915200,exptime = 150., readoutTime = 40., t_shutter_open = 1.3, t_shutter_close = 1.3): e_header_fn = os.path.split(os.path.realpath(__file__))[0] + '/csst_msc_l0_ms.fits' f = open(os.path.split(os.path.realpath(__file__))[0] + '/filter.lst') s = f.readline() s = s.strip("\n") filters = s.split(' ') s = f.readline() s = s.strip("\n") filterID = s.split() s = f.readline() s = s.strip("\n") CCDID = s.split() # k = (row_num - 1) * 6 + col_num # h_ext = fits.Header.fromfile(e_header_fn) header_fits = fits.open(e_header_fn) h_ext = header_fits[1].header # h_ext = fits.Header() # with open(e_header_fn, 'r') as file: # header_toml = toml.load(file) # h_key='HDU1' # for key, value in header_toml[h_key].items(): # h_card = fits.card.Card(header_toml[h_key][key]['key'],header_toml[h_key][key]['example'],header_toml[h_key][key]['comment']) # h_ext.append(h_card) # h_ext['CCDCHIP'] = CCDID[k - 1].rjust(2, '0') # h_ext['CCDLABEL'] = filters[k-1] + '-' + filterID[k-1] # h_ext['FILTER'] = filters[k-1] h_ext['CHIPID'] = str(chip.chipID).rjust(2, '0') h_ext['CHIPLABL'] = chip.chip_name h_ext['FILTER'] = chip.filter_type h_ext['NAXIS1'] = xlen h_ext['NAXIS2'] = ylen h_ext['EXTNAME'] = extName h_ext['GAIN01'] = chip.gain_channel[0] h_ext['GAIN02'] = chip.gain_channel[1] h_ext['GAIN03'] = chip.gain_channel[2] h_ext['GAIN04'] = chip.gain_channel[3] h_ext['GAIN05'] = chip.gain_channel[4] h_ext['GAIN06'] = chip.gain_channel[5] h_ext['GAIN07'] = chip.gain_channel[6] h_ext['GAIN08'] = chip.gain_channel[7] h_ext['GAIN09'] = chip.gain_channel[8] h_ext['GAIN10'] = chip.gain_channel[9] h_ext['GAIN11'] = chip.gain_channel[10] h_ext['GAIN12'] = chip.gain_channel[11] h_ext['GAIN13'] = chip.gain_channel[12] h_ext['GAIN14'] = chip.gain_channel[13] h_ext['GAIN15'] = chip.gain_channel[14] h_ext['GAIN16'] = chip.gain_channel[15] h_ext['RON01'] = readout h_ext['RON02'] = readout h_ext['RON03'] = readout h_ext['RON04'] = readout h_ext['RON05'] = readout h_ext['RON06'] = readout h_ext['RON07'] = readout h_ext['RON08'] = readout h_ext['RON09'] = readout h_ext['RON10'] = readout h_ext['RON11'] = readout h_ext['RON12'] = readout h_ext['RON13'] = readout h_ext['RON14'] = readout h_ext['RON15'] = readout h_ext['RON16'] = readout h_ext['PIXSCAL1'] = pixel_scale h_ext['PIXSCAL2'] = pixel_scale h_ext['EXPTIME'] = exptime h_ext['DARKTIME'] = exptime datetime_obs = datetime.utcfromtimestamp(timestamp) datetime_obs = datetime_obs.replace(tzinfo=timezone.utc) tstart = Time(datetime_obs) t_shutter_os = tstart t_shutter_oe = Time(tstart.mjd + t_shutter_open / 86400., format="mjd") t_shutter_co = Time(tstart.mjd + exptime / 86400., format="mjd") t_shutter_ce = Time(tstart.mjd + (exptime + t_shutter_close) / 86400., format="mjd") t_shutter_os1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_shutter_os.unix).replace(tzinfo=timezone.utc).timestamp(), 1)) h_ext['SHTOPEN0'] = t_shutter_os1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] t_shutter_oe1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_shutter_oe.unix).replace(tzinfo=timezone.utc).timestamp(), 1)) h_ext['SHTOPEN1'] = t_shutter_oe1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] t_shutter_co1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_shutter_co.unix).replace(tzinfo=timezone.utc).timestamp(), 1)) h_ext['SHTCLOS0'] = t_shutter_co1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] t_shutter_ce1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_shutter_ce.unix).replace(tzinfo=timezone.utc).timestamp(), 1)) h_ext['SHTCLOS1'] = t_shutter_ce1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] tstart_read = Time(tstart.mjd + exptime / 86400., format="mjd") tend_read = Time(tstart.mjd + (exptime + readoutTime) / 86400., format="mjd") # tstart1=tstart.datetime.replace(microsecond=round(tstart.datetime.microsecond, -5)) tstart1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(tstart_read.unix).replace(tzinfo=timezone.utc).timestamp(), 1)) h_ext['ROTIME0'] = tstart1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] # tend_read1 = tend_read.datetime.replace(microsecond=round(tend_read.datetime.microsecond, -5)) tend_read1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(tend_read.unix).replace(tzinfo=timezone.utc).timestamp(), 1)) h_ext['ROTIME1'] = tend_read1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] # h_ext['POS_ANG'] = pa header_wcs = WCS_def(xlen=xlen, ylen=ylen, gapy=898.0, gapx1=534, gapx2=1309, ra_ref=ra, dec_ref=dec, pa=pa, pixel_scale=pixel_scale, pixel_size=pixel_size, rotate_chip=chip.rotate_angle, filter = h_ext['FILTER'], row_num=row_num, col_num=col_num, xcen = xcen, ycen = ycen) h_ext['CRPIX1'] = header_wcs['CRPIX1'] h_ext['CRPIX2'] = header_wcs['CRPIX2'] h_ext['CRVAL1'] = header_wcs['CRVAL1'] h_ext['CRVAL2'] = header_wcs['CRVAL2'] h_ext['CD1_1'] = header_wcs['CD1_1'] h_ext['CD1_2'] = header_wcs['CD1_2'] h_ext['CD2_1'] = header_wcs['CD2_1'] h_ext['CD2_2'] = header_wcs['CD2_2'] # h_ext['EQUINOX'] = header_wcs['EQUINOX'] # h_ext['WCSDIM'] = header_wcs['WCSDIM'] h_ext['CTYPE1'] = header_wcs['CTYPE1'] h_ext['CTYPE2'] = header_wcs['CTYPE2'] h_ext['EXTNAME'] = 'IMAGE' h_ext.comments["XTENSION"] = "image extension" return h_ext def main(argv): xlen = int(argv[1]) ylen = int(argv[2]) pointingNum = argv[3] ra = float(argv[4]) dec = float(argv[5]) pSize = float(argv[6]) ccd_row_num = int(argv[7]) ccd_col_num = int(argv[8]) pa_aper = float(argv[9]) gain = float(argv[10]) readout = float(argv[11]) dark = float(argv[12]) fw = float(argv[13]) h_prim = generatePrimaryHeader(xlen = xlen, ylen = ylen,ra = ra, dec = dec, psize = pSize, row_num = ccd_row_num, col_num = ccd_col_num, pointNum = pointingNum) h_ext = generateExtensionHeader(xlen = xlen, ylen = ylen,ra = ra, dec = dec, pa = pa_aper, gain = gain, readout = readout, dark = dark, saturation=fw, psize = pSize, row_num = ccd_row_num, col_num = ccd_col_num) hdu1 = fits.PrimaryHDU(header=h_prim) hdu2 = fits.ImageHDU(np.zeros([ylen,xlen]),header = h_ext) hdul = fits.HDUList([hdu1,hdu2]) hdul.writeto(h_prim['FILENAME']+'.fits',output_verify='ignore') # if __name__ == "__main__": # main(sys.argv)