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"""
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.time import Time
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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
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# 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
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##9232 9216 898 534 1309 60 -40 -23.4333
def WCS_def(xlen = 9216, ylen = 9232, gapy = 898.0, gapx1 = 534, gapx2 = 1309, ra = 60, dec = -40, pa = -23.433,psize = 0.074, row_num = 1, col_num = 1):
""" Creat a wcs frame for CCST with multiple extensions
Parameters
----------
"""
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]
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]
ra_ref = ra
dec_ref = dec
pa_aper = pa
pixel_size = psize
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]]])
# frame_array = np.empty((5,6),dtype=np.float64)
# print(x_center,y_center)
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
# print(i,j,x_ref,y_ref,ra_ref,dec_ref)
r_dat = OrderedDict()
# name = []
# value = []
# description = []
for k in range(1,2):
cd = np.array([[ pixel_size, 0], [0, pixel_size]])/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['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
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]
return r_dat
def generatePrimaryHeader(xlen = 9216, ylen = 9232, pointNum = '1', ra = 60, dec = -40, psize = 0.074, row_num = 1, col_num = 1, date='200930', time_obs='120000', im_type = 'MS'):
# 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)
g_header_fn = os.path.split(os.path.realpath(__file__))[0] + '/global_header.header'
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()
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h_prim = fits.Header.fromfile(g_header_fn)
h_prim['PIXSIZE1'] = xlen
h_prim['PIXSIZE2'] = ylen
h_prim['FILENAME'] = 'MSC_' + im_type + '_' + date + time_obs + '_1' + pointNum.rjust(8,'0') + '_' +CCDID[k-1].rjust(2,'0')+'_raw'
h_prim['DATE'] = '20'+date[0:2]+'-' + date[2:4]+'-'+date[4:6]
h_prim['TIME'] = time_obs[0:2]+':'+time_obs[2:4]+':'+time_obs[4:6]
h_prim['DETECTOR'] = 'CCD'+CCDID[k-1].rjust(2,'0')
h_prim['RA_OBJ'] = ra
h_prim['DEC_OBJ'] = dec
h_prim['OBJECT'] = '1'+ pointNum.rjust(8,'0')
h_prim['OBSID'] = '1'+ pointNum.rjust(8,'0')
h_prim['TELFOCUS'] = 'f/14'
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, '05.2f')
dec_hms = format(co.dec.dms.d, '02.0f') + ':' + format(abs(co.dec.dms.m), '02.0f') + ':' + format(abs(co.dec.dms.s),
'05.2f')
h_prim['RA_NOM'] = ra_hms
h_prim['DEC_NOM'] = dec_hms
h_prim['PIXSCAL1'] = str(psize)
h_prim['PIXSCAL2'] = str(psize)
ttt = h_prim['DATE'] + 'T' + h_prim['TIME']
tstart = Time(ttt)
h_prim['EXPSTART'] = round(tstart.mjd, 5)
tend = Time(tstart.cxcsec + h_prim['EXPTIME'], format="cxcsec")
h_prim['EXPEND'] = round(tend.mjd, 5)
def generateExtensionHeader(xlen = 9216, ylen = 9232,ra = 60, dec = -40, pa = -23.433, gain = 1.0, readout = 5.0, dark = 0.02, saturation=90000, psize = 0.074, row_num = 1, col_num = 1, extName='SCI'):
e_header_fn = os.path.split(os.path.realpath(__file__))[0] + '/extension_header.header'
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()
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k = (row_num - 1) * 6 + col_num
h_ext = fits.Header.fromfile(e_header_fn)
h_ext['CCDLABEL'] = filters[k-1] + '-' + filterID[k-1]
h_ext['FILTER'] = filters[k-1]
h_ext['NAXIS1'] = xlen
h_ext['NAXIS2'] = ylen
h_ext['EXTNAME'] = extName
h_ext['GAIN1'] = gain
h_ext['RDNOISE1'] = readout
h_ext['CCDCHIP'] = 'ccd' + CCDID[k-1].rjust(2,'0')
header_wcs = WCS_def(xlen=xlen, ylen=ylen, gapy=898.0, gapx1=534, gapx2=1309, ra=ra, dec=dec, pa=pa, psize=psize,
row_num=row_num, col_num=col_num)
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']
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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)