def loadtemplatespectrum(filename, resolution, telluric_linelist, ccf_mask, velocity_step, wavemask):
spc = Spectrum(filename)
if wavemask :
spc.applyMask(wavemask)
barycentricTime = spc.barycentricTime()
barycentric_vel = barycentric_velocity(spc)
spc.continuumOrderByOrder(binsize = 30, overlap = 10)
spc.normalizeByContinuum(constant=10.0)
spc.binningOrderByOrder(rvsampling_kps=2.4, median=False)
spc.sortByWavelength()
ispectrum = ispec.create_spectrum_structure(spc.wl,spc.flux)
smoothed_spectrum = ispec.convolve_spectrum(ispectrum, resolution)
tel_models, tel_ccf = ispec.cross_correlate_with_mask(smoothed_spectrum, telluric_linelist, \
lower_velocity_limit=-10, upper_velocity_limit=10, \
velocity_step=0.1, mask_depth=0.01, \
fourier = False, only_one_peak = True)
tel_rv = tel_models[0].mu()
min_vel = -30.0
max_vel = +30.0
# Only the 25% of the deepest ones:
dfilter = telluric_linelist['depth'] > np.percentile(telluric_linelist['depth'], 75)
tfilter = ispec.create_filter_for_regions_affected_by_tellurics(smoothed_spectrum['waveobs'], \
telluric_linelist[dfilter], min_velocity=-tel_rv+min_vel, \
max_velocity=-tel_rv+max_vel)
clean_spectrum = smoothed_spectrum[~tfilter]
corrected_spectrum = ispec.correct_velocity(clean_spectrum, tel_rv - barycentric_vel)
models, ccf = ispec.cross_correlate_with_mask(clean_spectrum, ccf_mask, \
lower_velocity_limit=-100, upper_velocity_limit=100, \
velocity_step=velocity_step, mask_depth=0.01, \
fourier=False)
rv = models[0].mu()
clean_corrected_spectrum = ispec.correct_velocity(corrected_spectrum, rv)
return clean_corrected_spectrum
try:
options,args = parser.parse_args(sys.argv[1:])
except:
print "Error: check usage with extract.py -h "; sys.exit(1);
if options.verbose:
print 'Input spectrum: ', options.input
print 'Output wavelength range: ', options.wlrange
print 'Spectrum type: ', options.spectype
print 'Polar option: ', options.polar
print 'Telluric correction: ', options.telluric
print 'Heliocentric correction: ', options.helio
wl0, wlf = options.wlrange.split()
spc = Spectrum(options.input, options.spectype, options.polar, options.telluric, options.helio)
#spc.info()
wl,flux,fluxerr = spc.extractChunk(float(wl0), float(wlf))
chunk = SpectrumChunk(wl,flux,fluxerr)
chunk.snrfilter(15.0)
chunk.removeBackground(2.0)
#chunk.binning(0.5, median=True)
#chunk.fft_filter()
init_guess = [656.270,2500, 0.5]
parser.add_option("-r", action="store_true", dest="helio", help="heliocentric correction", default=False)
try:
options,args = parser.parse_args(sys.argv[1:])
except:
print "Error: check usage with App_normalizeFcal.py -h "; sys.exit(1);
if options.verbose:
print 'Input spectrum: ', options.input
print 'Output spectrum file: ', options.output
print 'Output spectrum file: ', options.outputcontinuum
print 'RV sampling for output spectrum in km/s: ', options.rvsampling
print 'Polar option: ', options.polar
print 'Telluric correction: ', options.telluric
print 'Heliocentric correction: ', options.helio
spc = Spectrum(options.input, 'fcal', options.polar, options.telluric, options.helio)
spc.applyMask()
spc.binning(float(options.rvsampling), median=True)
spc.continuum(binsize=200, overlap=100, sigmaclip=3.0, window=3)
spc.normalizeByContinuum()
spc.saveToFile(options.output)
if options.outputcontinuum :
spc.saveContinuumToFile(options.outputcontinuum)
dest="helio",
help="heliocentric correction",
default=False)
try:
options, args = parser.parse_args(sys.argv[1:])
except:
print "Error: check usage with App_lsd.py -h "
sys.exit(1)
if options.verbose:
print 'Input spectrum: ', options.input
print 'Output spectrum file: ', options.output
print 'Lines mask: ', options.linesmask
print 'File with wavelength ranges: ', options.wavemask
print 'Spectrum type: ', options.spectype
print 'RV sampling for output spectrum in km/s: ', options.rvsampling
print 'Plot output spectrum: ', options.plot
print 'Telluric correction: ', options.telluric
print 'Heliocentric correction: ', options.helio
if options.verbose:
print "Loading spectrum"
spc = Spectrum(options.input,
options.spectype,
False,
options.telluric,
options.helio,
Sort=False)
print 'Input directory: ', options.inputdir
print 'Object name: ', options.object
print 'Spectrum type: ', options.spectype
print 'Polar option: ', options.polar
print 'Telluric correction: ', options.telluric
print 'Heliocentric correction: ', options.helio
heliumlines = [447.148, 492.193, 501.568, 587.561, 667.815, 706.518]
delta_wl = 0.5
filelist = espectrolib.generateList(options.inputdir, options.object)
for filepath in filelist :
spc = Spectrum(filepath, options.spectype, options.polar, options.telluric, options.helio)
rvvalues = []
for line in heliumlines :
wl_line = line
wl0, wlf = wl_line-delta_wl, wl_line+delta_wl
wl,flux,fluxerr = spc.extractChunk(float(wl0), float(wlf))
chunk = SpectrumChunk(wl,flux,fluxerr)
chunk.removeBackground(0.1)
init_guess = [wl_line,-0.1, 0.3]
wlcen, amp, sigma = chunk.fitgaussian(init_guess)
rv = (wlcen[0] - wl_line)*constants.c/wl_line
rvvalues.append(rv)
median_rv = np.median(rvvalues)
if options.verbose:
print 'Input sample file: ', options.inputsample
print 'Data directory: ', options.datadir
print 'Output calibration matrix: ', options.outputcalibmatrix
listOfStarSpectra = mcallib.get_spectrafilepaths(options.datadir)
twomassid, id, teff, feh = mcallib.loadSampleOfCalibrators(options.inputsample)
Tcal = []
FeHcal = []
ewcal = []
for file in listOfStarSpectra:
spc = Spectrum(file)
objname = spc.object.replace(" ", "").upper()
if options.verbose:
print "Processing spectrum: ", file, objname
if spc.instrument == 'ESPaDOnS' or spc.instrument == 'NARVAL':
spc.resampling(0.01, 4000, 10400)
for i in range(len(id)):
if objname in id[i].upper() or objname in twomassid[i].upper():
spc.equivalentWidths(override=False, verbose=options.verbose)
ewcal_tmp = spc.eqwidths
if not np.any(np.isnan(ewcal_tmp)):
ewcal.append(ewcal_tmp)
Tcal.append(teff[i])
if options.verbose:
print 'Input spectrum: ', options.input
lines = [
402.619, 412.082, 447.148, 471.315, 492.193, 501.568, 587.562, 667.815,
706.519
]
#lines = [447.148, 471.315, 492.193, 501.568, 587.562, 667.815, 706.519]
delta_rv_kps = 400
gaussian = lambda x, a, c, w: a * np.exp(-((x - c) / w)**2)
gaussfunc = np.vectorize(gaussian)
spc = Spectrum(options.input, Sort=False)
shift = 0.0
dshift = 0.015
for line in lines:
wl_line = line
delta_wl = 1000.0 * delta_rv_kps * wl_line / constants.c
wl0, wlf = wl_line - delta_wl, wl_line + delta_wl
wl, flux, fluxerr = spc.extractChunk(float(wl0), float(wlf))
chunk = SpectrumChunk(wl, flux, fluxerr)
chunk.removeBackground(0.1)
init_guess = [wl_line, -0.1, 0.3]
print 'File with wavelength ranges: ', options.wavemask
print 'Spectrum type: ', options.spectype
print 'Polar option: ', options.polar
print 'Telluric correction: ', options.telluric
print 'Heliocentric correction: ', options.helio
useMedian = True # method to bin data (if False -> use Mean)
outputRVSampling = 10.0 # in km/s
filelist, rvfilelist = espectrolib.generateListWithRVs(options.inputdir,
options.object)
sourceRVs = espectrolib.loadSourceRVs(rvfilelist)
stackspc = Spectrum(filelist[0],
"raw",
options.polar,
options.telluric,
options.helio,
SourceRV=sourceRVs[0] / 1000.0)
stackspc.setAllFluxesToZero()
spc = []
for i in range(len(filelist)):
print filelist[i]
spc.append(
Spectrum(filelist[i],
options.spectype,
options.polar,
options.telluric,
options.helio,
parser.add_option("-i", "--input", dest="input", help="Input spectrum file",type='string',default="")
parser.add_option("-w", "--wlrange", dest="wlrange", help="Output wavelength range (nm)",type='string',default="")
parser.add_option("-p", action="store_true", dest="polar", help="polar",default=False)
parser.add_option("-v", action="store_true", dest="verbose", help="verbose",default=False)
try:
options,args = parser.parse_args(sys.argv[1:])
except:
print "Error: check usage with espectro.py -h "; sys.exit(1);
if options.verbose:
print 'Input spectrum: ', options.input
print 'Output wavelength range: ', options.wlrange
print 'Polar? ', options.polar
wl0, wlf = options.wlrange.split()
spc = Spectrum(options.input, polar=options.polar)
#spc.info()
wl,flux = spc.extractChunk(float(wl0), float(wlf))
dl = 2.0
wlranges = [(float(wl0),float(wl0)+dl),(float(wlf)-dl,float(wlf))]
wl,flux = espectrolib.removeBackground(wl,flux,wlranges)
for i in range(len(wl)) :
print wl[i], flux[i]
#spc.printdata()
#templatefile = "/Users/edermartioli/Desktop/51Peg/testdata/1603681o.m.fits.gz"
templatefile = "/Users/edermartioli/Desktop/51Peg/testdata/1604052o.m.fits.gz"
if options.template :
templatefile = options.template
templatespectrum = loadtemplatespectrum(templatefile, resolution, telluric_linelist, ccf_mask, velocity_step, options.wavemask)
#---------------
output = []
for filepath in filelist :
head, filename = os.path.split(filepath)
if options.verbose: print "Loading spectrum file: ", filename
spc = Spectrum(filepath, options.spectype)
if options.wavemask :
spc.applyMask(options.wavemask)
snrmask = np.where(spc.fluxerr > 1.0)
snr = np.mean(spc.flux[snrmask] / spc.fluxerr[snrmask])
if options.verbose: print "Mean SNR: ",snr
barycentricTime = spc.barycentricTime()
if options.verbose: print "Barycentric Time: ",barycentricTime
barycentric_vel = barycentric_velocity(spc)
if options.verbose: print "Barycentric velocity correction: ",barycentric_vel
if options.spectype != "norm" :
if options.verbose:
print 'Data directory: ', options.datadir
print 'Calibration matrix: ', options.calibmatrix
listOfStarSpectra = mcallib.get_spectrafilepaths(options.datadir)
print "--------------------------------------------------"
print "File","Object","[Fe/H]_corr","[Fe/H]","e[Fe/H]","Teff_corr","Teff","eTeff","H-alpha", "RV(km/s)"
print "--------------------------------------------------"
for file in listOfStarSpectra :
if options.verbose :
print "Processing spectrum: ", file
spc = Spectrum(file, FFT=options.fft)
if spc.instrument == 'ESPaDOnS' :
spc.resampling(0.01,4000,10400)
elif spc.instrument == 'NARVAL' :
spc.resampling(0.01,4000,10400)
spc.equivalentWidths(override=True,verbose=options.verbose)
spc.calculateTeffAndFeH(options.calibmatrix, verbose=options.verbose)
spc.halphaActivity(verbose=options.verbose)
#spc.info()
#spc.printdata()