def setUpClass(cls):
temp = '/STER/mercator/hermes/%s/reduced/%s_HRF_OBJ_ext_CosmicsRemoved_log_merged_c.fits'
objlist = [('20090619', '237033'), ('20090701', '240226'),
('20090712', '241334'), ('20090712', '241335'),
('20100107', '00268012'), ('20100120', '00272619'),
('20100120', '00272620'), ('20100203', '00273577'),
('20100203', '00273578'), ('20100303', '00275671'),
('20100303', '00275672'), ('20100410', '00281505'),
('20100519', '00284636'), ('20110222', '00334558'),
('20110319', '00336547'), ('20110324', '00339848'),
('20110401', '00342273'), ('20110402', '00342363'),
('20110406', '00342699'), ('20110408', '00342896'),
('20120107', '00391289'), ('20120110', '00391633'),
('20120116', '00392217'), ('20120127', '00393151'),
('20120209', '00394175'), ('20120330', '00399697'),
('20120420', '00404769'), ('20120506', '00406531'),
('20130106', '00445346'), ('20130215', '00452556'),
('20130406', '00457718'), ('20130530', '00474128')]
mergeList = [temp % o for o in objlist]
waves, fluxes = [], []
for ifile in mergeList:
w, f = fits.read_spectrum(ifile)
f = f[(w > 5000) & (w < 7000)]
w = w[(w > 5000) & (w < 7000)]
waves.append(w)
fluxes.append(f)
wave, flux, accepted, rejected = tools.merge_cosmic_clipping(
waves,
fluxes,
sigma=5.0,
base='average',
offset='std',
window=51,
runs=2,
full_output=True)
cls.nspek = len(objlist)
cls.wave = wave
cls.flux = flux
cls.accepted = accepted
cls.rejected = rejected
def get_response(instrument='hermes'):
"""
Returns the response curve of the given instrument. Up till now only a HERMES
response cruve is available. This response curve is based on 25 spectra of the
single sdB star Feige 66, and has a wavelenght range of 3800 to 8000 A.
@param instrument: the instrument of which you want the response curve
@type instrument: string
"""
basedir = 'spectables/responses/'
if instrument == 'hermes':
basename = 'response_Feige66.fits'
response = config.get_datafile(basedir, basename)
wave, flux = fits.read_spectrum(response)
return wave, flux
def get_response(instrument='hermes'):
"""
Returns the response curve of the given instrument. Up till now only a HERMES
response cruve is available. This response curve is based on 25 spectra of the
single sdB star Feige 66, and has a wavelenght range of 3800 to 8000 A.
@param instrument: the instrument of which you want the response curve
@type instrument: string
"""
basedir = 'spectables/responses/'
if instrument == 'hermes':
basename = 'response_Feige66.fits'
response = config.get_datafile(basedir,basename)
wave, flux = fits.read_spectrum(response)
return wave, flux
def setUpClass(cls):
temp = '/STER/mercator/hermes/%s/reduced/%s_HRF_OBJ_ext_CosmicsRemoved_log_merged_c.fits'
objlist = [('20090619','237033'), ('20090701','240226'),
('20090712','241334'), ('20090712','241335'),
('20100107','00268012'), ('20100120','00272619'),
('20100120','00272620'), ('20100203','00273577'),
('20100203','00273578'), ('20100303','00275671'),
('20100303','00275672'), ('20100410','00281505'),
('20100519','00284636'), ('20110222','00334558'),
('20110319','00336547'), ('20110324','00339848'),
('20110401','00342273'), ('20110402','00342363'),
('20110406','00342699'), ('20110408','00342896'),
('20120107','00391289'), ('20120110','00391633'),
('20120116','00392217'), ('20120127','00393151'),
('20120209','00394175'), ('20120330','00399697'),
('20120420','00404769'), ('20120506','00406531'),
('20130106','00445346'), ('20130215','00452556'),
('20130406','00457718'), ('20130530','00474128')]
mergeList = [temp%o for o in objlist]
waves, fluxes = [], []
for ifile in mergeList:
w, f = fits.read_spectrum(ifile)
f = f[(w>5000) & (w<7000)]
w = w[(w>5000) & (w<7000)]
waves.append(w)
fluxes.append(f)
wave, flux, accepted, rejected = tools.merge_cosmic_clipping(waves, fluxes, sigma=5.0,
base='average', offset='std', window=51, runs=2, full_output=True)
cls.nspek = len(objlist)
cls.wave = wave
cls.flux = flux
cls.accepted = accepted
cls.rejected = rejected
('20100303', '00275672'), ('20100410', '00281505'),
('20100519', '00284636'), ('20110222', '00334558'),
('20110319', '00336547'), ('20110324', '00339848'),
('20110401', '00342273'), ('20110402', '00342363'),
('20110406', '00342699'), ('20110408', '00342896'),
('20120107', '00391289'), ('20120110', '00391633'),
('20120116', '00392217'), ('20120127', '00393151'),
('20120209', '00394175'), ('20120330', '00399697'),
('20120420', '00404769'), ('20120506', '00406531'),
('20130106', '00445346'), ('20130215', '00452556'),
('20130406', '00457718'), ('20130530', '00474128')]
mergeList = [temp % o for o in objlist]
t1 = time.time()
waves, fluxes = [], []
wtotal, ftotal = fits.read_spectrum(mergeList[0])
wtotal = wtotal[(wtotal > 5000) & (wtotal < 7000)]
ftotal = np.zeros_like(wtotal)
for ifile in mergeList:
w, f = fits.read_spectrum(ifile)
f = f[(w > 5000) & (w < 7000)]
w = w[(w > 5000) & (w < 7000)]
waves.append(w)
fluxes.append(f)
ftotal += np.interp(wtotal, w, f)
t1 = time.time() - t1
t2 = time.time()
wave, flux, accepted, rejected = merge_cosmic_clipping(waves,
fluxes,
sigma=5.0,
('20100303','00275672'), ('20100410','00281505'),
('20100519','00284636'), ('20110222','00334558'),
('20110319','00336547'), ('20110324','00339848'),
('20110401','00342273'), ('20110402','00342363'),
('20110406','00342699'), ('20110408','00342896'),
('20120107','00391289'), ('20120110','00391633'),
('20120116','00392217'), ('20120127','00393151'),
('20120209','00394175'), ('20120330','00399697'),
('20120420','00404769'), ('20120506','00406531'),
('20130106','00445346'), ('20130215','00452556'),
('20130406','00457718'), ('20130530','00474128')]
mergeList = [temp%o for o in objlist]
t1 = time.time()
waves, fluxes = [], []
wtotal, ftotal = fits.read_spectrum(mergeList[0])
wtotal = wtotal[(wtotal>5000) & (wtotal<7000)]
ftotal = np.zeros_like(wtotal)
for ifile in mergeList:
w, f = fits.read_spectrum(ifile)
f = f[(w>5000) & (w<7000)]
w = w[(w>5000) & (w<7000)]
waves.append(w)
fluxes.append(f)
ftotal += np.interp(wtotal,w,f)
t1 = time.time() - t1
t2 = time.time()
wave, flux, accepted, rejected = merge_cosmic_clipping(waves, fluxes, sigma=5.0,
window=21, offset='std', base='average', full_output=True)
t2 = time.time() - t2
