def convert_to_coordinates(ra, dec, evt, ctype):
"""
convert ra dec to sky, det, or chip coordinates
input: ra --- ra in degree
dec --- dec in degree
evt --- evt1 file
ctype --- sky/det/chip
output: [newx, newy]
"""
cmd = 'dmcoords ' + evt + ' opt=cel ra=' + str(ra) + ' dec=' + str(dec) + ' verbose=1 > ' + zspace
hcf.run_ascds(cmd)
newx= ''
newy= ''
#
#--- extract sky coordindats
#
info = read_data(zspace, remove=1)
info.reverse()
for ent in info:
if ctype == 'sky':
mc = re.search('SKY\(X,Y\)', ent)
elif ctype == 'det':
mc = re.search('DETX,DETY', ent)
elif ctype == 'chip':
mc = re.search('CHIP', ent)
if mc is not None:
atemp = re.split('\s+', ent)
newx = float(atemp[1])
newy = float(atemp[2])
return [newx, newy]
def select_letg_arm(ofits, outfile, include=1):
"""
extract area defined by letg arm area either include or exclude
input: ofits --- fits file name
outfile --- output fits file name
include --- if 1: include the area, 0: exclude the area
output: outfile --- resulted fits file
note: polygons are from:
$CALDB/data/chandra/hrc/tgmask2/letgD1999-07-22regN0002.fits"[ROWID=SOURCE]"
"""
#
#--- letg polygon areas
#
if include == 1:
area1 = '(-0.0057803997770, 0.000531000027 '
area1 = area1 + ',-0.29866999387741, 0.000531000027 '
area1 = area1 + ',-1.1548999548, 0.00211400003172 '
area1 = area1 + ',-1.1548999548, -0.00211400003172 '
area1 = area1 + ',-0.29866999387741,-0.000531000027 '
area1 = area1 + ',-0.0057803997770, -0.000531000027 '
area1 = area1 + ',-0.0057803997770, 0.000531000027) '
area2 = '(0.0057803997770, 0.000531000027'
area2 = area2 + ',0.29866999387741, 0.000531000027 '
area2 = area2 + ', 1.1548999548, 0.00211400003172 '
area2 = area2 + ', 1.1548999548, -0.00211400003172 '
area2 = area2 + ',0.29866999387741, -0.000531000027 '
area2 = area2 + ',0.0057803997770, -0.000531000027 '
area2 = area2 + ',0.0057803997770, 0.000531000027)'
#
#--- letg polygon background area
#
else:
area1 = '(-0.0057803997770, 0.00730999978259 '
area1 = area1 + ',-0.29866999387741, 0.00730999978259 '
area1 = area1 + ',-1.1548999548, 0.02314000017941 '
area1 = area1 + ',-1.1548999548, 0.00200000009499 '
area1 = area1 + ',-0.29866999387741, 0.00200000009499 '
area1 = area1 + ',-0.0057803997770, 0.00200000009499 '
area1 = area1 + ',-0.0057803997770, 0.00730999978259) '
area2 = '(0.0057803997770, -0.00730999978259 '
area2 = area2 + ',0.29866999387741, -0.00730999978259 '
area2 = area2 + ',1.1548999548, -0.02314000017941 '
area2 = area2 + ',1.1548999548, -0.00200000009499 '
area2 = area2 + ',0.29866999387741, -0.00200000009499 '
area2 = area2 + ',0.0057803997770, -0.00200000009499 '
area2 = area2 + ',0.0057803997770, -0.00730999978259) '
#
#--- create dmcopy command
#
cmd = 'dmcopy "' + ofits + '[(tg_r,tg_d)='
cmd = cmd + ' polygon' + area1
cmd = cmd + '+polygon' + area2
cmd = cmd + ']" outfile=' + outfile + ' clobber="yes"'
hcf.run_ascds(cmd)
def filter_by_status(fits):
"""
filter fits file by the status column
input: fits --- fits file
output: fits --- status filtered fits file
"""
filter = '0000xxxx000xxxxx'
cmd = ' dmcopy "' + fits + '[status=0000xxxx000xxxxx]" outfile=zxc.fits clobber=yes'
#run_ciao(cmd)
hcf.run_ascds(cmd)
#run_ascds(cmd)
cmd = 'mv zxc.fits ' + fits
os.system(cmd)
def get_target_data(obsid, evt1, clean, carea, barea, ra_targ, dec_targ, yoffset, zoffset, inst):
"""
extract center part of the data and the background
input: obsid --- obsid
evt1 --- event 1 data fits file name
clean --- cleaned fits file name
carea --- extracted main area output fits file
barea --- txtracted background output fits file
output: carea /barea
"""
#
#--- set the radius around the source and the background area
#
[radius, annul1, annul2, tarea, sarea, cx, cy] = set_radius(yoffset, zoffset, inst)
#
#--- check whether manually determined sky coordinates are available
#
#cmd = ' tgdetect ' + evt1 + ' none zo_pos_x=' + ra_targ + ' zo_pos_y=' + dec_targ + ' outfile=zinfo.fits clobber=yes'
cmd = ' celldetect ' + evt1 + ' outfile=zinfo.fits clobber=yes'
hcf.run_ascds(cmd)
t = pyfits.open('zinfo.fits')
tdata = t[1].data
data = tdata['net_counts']
dmax = 0
pos = 0
for k in range(0, len(data)):
val = float(data[k])
if val > dmax:
dmax = val
pos = k
psave = []
for ent in ('x', 'y', 'net_counts', 'net_counts_err', 'bkg_counts', 'bkg_counts_err', 'net_rate',\
'net_rate_err', 'bkg_rate', 'bkg_rate_err'):
try:
data = tdata.field(ent)
out = data[pos]
psave.append(out)
except:
pass
t.close()
x = psave[0]
y = psave[1]
mcf.rm_file('zinfo.fits')
#
#--- center part
#
cmd = 'dmcopy "' + clean + '[(x,y)=circle(' + str(x) + ',' + str(y)
cmd = cmd + ',' + str(radius) + ')]" outfile=' + carea + ' clobber=yes'
hcf.run_ascds(cmd)
#
#--- background area; annulus around the source position
#
if cx == 0: #--- hrc s case and hrc i offset < 13.6 arcmin
px = x
py = y
else: #--- hrc i with offset > 13.6 arcmin
px = cx
py = cy
cmd = 'dmcopy "' + clean + '[(x,y)=annulus(' + str(px) + ',' + str(py)
cmd = cmd + ',' + str(annul1) + ',' + str(annul2)
cmd = cmd + ')]" outfile=' + barea + ' clobber=yes'
hcf.run_ascds(cmd)
line = str(psave[0])
for k in range(1, len(psave)):
line = line + '\t' + str(psave[k])
line = line + '\n'
ofile = data_dir + 'Fittings/' + str(obsid) + '/center_info'
fo = open(ofile, 'w')
fo.write(line)
fo.close()
return [float(x), float(y), tarea, sarea]
def get_center_data(obsid, evt1, clean, carea, barea):
"""
extract center part of the data and the background
input: obsid --- obsid
evt1 --- event 1 data fits file name
clean --- cleaned fits file name
carea --- extracted main area output fits file
barea --- txtracted background output fits file
output: carea /barea
"""
#
#--- check whether manually determined sky coordinates are available
#
[skyx, skyy] = check_sky_coord_list(obsid)
#
#--- try tgdetect to find the center part first
#
try:
cmd = ' tgdetect ' + evt1 + ' none outfile=zinfo.fits clobber=yes'
hcf.run_ascds(cmd)
t = pyfits.open('zinfo.fits')
tdata = t[1].data
t.close()
pos = 0
test = tdata.field('x')[0]
dchk = 1
#
#--- if tgdetect does not work try celldetect
#
except:
cmd = ' celldetect ' + evt1 + ' outfile=zinfo.fits clobber=yes'
hcf.run_ascds(cmd)
t = pyfits.open('zinfo.fits')
tdata = t[1].data
data = tdata['net_counts']
if len(data) > 0:
dmax = 0
pos = 0
for k in range(0, len(data)):
val = float(data[k])
if val > dmax:
dmax = val
pos = k
dchk = 2
else:
if skyx == '':
return False
else:
dchk = 3
#
#--- get the information about the center source area
#
if dchk == 1 or dchk == 2:
psave = []
for ent in ('x', 'y', 'net_counts', 'net_counts_err', 'bkg_counts', 'bkg_counts_err', 'net_rate',\
'net_rate_err', 'bkg_rate', 'bkg_rate_err'):
try:
data = tdata.field(ent)
out = data[pos]
psave.append(out)
except:
if skyx == '':
return False
mcf.rm_file('zinfo.fits')
#
#--- center part
#
if skyx != '':
cmd = 'dmcopy "' + clean + '[(x,y)=circle(' + str(skyx) + ',' + str(
skyy)
else:
cmd = 'dmcopy "' + clean + '[(x,y)=circle(' + str(
psave[0]) + ',' + str(psave[1])
cmd = cmd + ',200)]" outfile=' + carea + ' clobber=yes'
hcf.run_ascds(cmd)
#
#--- background area; 400 pix above the center area
#
ypos = float(psave[1]) + 400
cmd = 'dmcopy "' + clean + '[(x,y)=circle(' + str(
psave[0]) + ',' + str(ypos)
cmd = cmd + ', 200)]" outfile=' + barea + ' clobber=yes'
hcf.run_ascds(cmd)
line = str(psave[0])
for k in range(1, len(psave)):
line = line + '\t' + str(psave[k])
line = line + '\n'
ofile = data_dir + 'Fittings/' + str(obsid) + '/center_info'
fo = open(ofile, 'w')
fo.write(line)
fo.close()
return True