ImageHeader.py 11.2 KB
Newer Older
Fang Yuedong's avatar
Fang Yuedong committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
"""
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
Xin Zhang's avatar
Xin Zhang committed
15
16
import astropy.coordinates as coord
from astropy.time import Time
Fang Yuedong's avatar
Fang Yuedong committed
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90

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


Xin Zhang's avatar
Xin Zhang committed
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
# 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
Fang Yuedong's avatar
Fang Yuedong committed
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233


##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


Xin Zhang's avatar
Xin Zhang committed
234
235


Fang Yuedong's avatar
Fang Yuedong committed
236
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', exptime=150.):
Fang Yuedong's avatar
Fang Yuedong committed
237
238
239
240
241
242
243

    # 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)

Xin Zhang's avatar
Xin Zhang committed
244
    g_header_fn = os.path.split(os.path.realpath(__file__))[0] + '/global_header.header'
Fang Yuedong's avatar
Fang Yuedong committed
245
246
247
248
249
250
251
252
253
254
255
256
257
    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()
Xin Zhang's avatar
Xin Zhang committed
258
259
260
261
262
263
264
    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]
Fang Yuedong's avatar
Fang Yuedong committed
265
266
    h_prim['DATE-OBS'] = '20'+date[0:2]+'-' + date[2:4]+'-'+date[4:6]
    h_prim['TIME-OBS'] = time_obs[0:2]+':'+time_obs[2:4]+':'+time_obs[4:6]
Xin Zhang's avatar
Xin Zhang committed
267
268
269
270
271
272
    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'
Fang Yuedong's avatar
Fang Yuedong committed
273
274
275
276
277
    h_prim['EXPTIME'] = exptime
    
    # Define file types
    file_type = {'MS':'sci', 'CLB':'zero', 'CLD':'dark', 'CLF':'flat', 'CRS':'cosmic_ray', 'CRD':'cosmic_ray'}
    h_prim['FILETYPE'] = file_type[im_type]
Xin Zhang's avatar
Xin Zhang committed
278
279
280
281
282
283
284
285
286

    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
Fang Yuedong's avatar
Fang Yuedong committed
287
288
    h_prim['PIXSCAL1'] = psize
    h_prim['PIXSCAL2'] = psize
Xin Zhang's avatar
Xin Zhang committed
289
290
291
292

    ttt = h_prim['DATE'] + 'T' + h_prim['TIME']
    tstart = Time(ttt)
    h_prim['EXPSTART'] = round(tstart.mjd, 5)
Fang Yuedong's avatar
Fang Yuedong committed
293
294
    # tend = Time(tstart.cxcsec + h_prim['EXPTIME'], format="cxcsec")
    tend = Time(tstart.mjd + h_prim['EXPTIME']/86400., format="mjd")
Xin Zhang's avatar
Xin Zhang committed
295
    h_prim['EXPEND'] = round(tend.mjd, 5)
Fang Yuedong's avatar
Fang Yuedong committed
296
297
298

    return h_prim

Xin Zhang's avatar
Xin Zhang committed
299
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'):
Fang Yuedong's avatar
Fang Yuedong committed
300

Xin Zhang's avatar
Xin Zhang committed
301
302
303
304
305
306
307
308
    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()
Fang Yuedong's avatar
Fang Yuedong committed
309

Xin Zhang's avatar
Xin Zhang committed
310
311
312
    s = f.readline()
    s = s.strip("\n")
    CCDID = s.split()
Fang Yuedong's avatar
Fang Yuedong committed
313

Xin Zhang's avatar
Xin Zhang committed
314
315
316
317
318
319
320
321
322
323
324
325
    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')
Fang Yuedong's avatar
Fang Yuedong committed
326
    h_ext['POS_ANG'] = pa
Xin Zhang's avatar
Xin Zhang committed
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
    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']
Fang Yuedong's avatar
Fang Yuedong committed
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376

    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)