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January 25, 2018 22:39
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Read MDM Spectrum
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def read_mdm(filename,to_plot=False,return_header=False): | |
with fits.open(filename) as spec: | |
# print(spec.info()) | |
# print(spec[0].data) | |
flux = spec[0].data[0][0] | |
w0 = np.float(spec[0].header["CRVAL1"]) | |
wi = np.int(spec[0].header["CRPIX1"]) | |
wstep = np.float(spec[0].header["CD1_1"]) | |
w00 = (0-wi)*wstep + w0 | |
lf = len(flux) | |
wavelength = np.arange(w00,w00+(lf-1)*wstep,wstep) | |
while len(wavelength)<lf: | |
wavelength = np.append(wavelength, | |
wavelength[-1]+wstep) | |
var = spec[0].data[3][0] | |
# print(len(wavelength), len(flux), len(var)) | |
print("sec(z) =",spec[0].header["AIRMASS"], | |
"HA =",spec[0].header["HA"]) | |
if to_plot is True: | |
plt.figure(figsize=(10,7)) | |
for i in range(4): | |
plt.plot(wavelength,spec[0].data[i][0], | |
label="row {0}".format(i)) | |
plt.yscale("log") | |
plt.ylim(1e-16,1e-12) | |
plt.xlim(6000,8000) | |
plt.legend(loc="best") | |
if return_header is True: | |
header = spec[0].header | |
if return_header is True: | |
return wavelength, flux, var, header | |
else: | |
return wavelength, flux, var |
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