我在Iraf生成的拟合文件中有一个光谱。波长轴在标题中编码为:
WAT0_001= 'system=multispec'
WAT1_001= 'wtype=multispec label=Wavelength units=angstroms'
WAT2_001= 'wtype=multispec spec1 = "1 1 2 1. 2.1919422441886 4200 0. 452.53 471'
WAT3_001= 'wtype=linear'
WAT2_002= '.60 1. 0. 3 3 1. 4200.00000000001 1313.88904209266 1365.65012876239 '
WAT2_003= '1422.67911152069 1479.0560707956 1535.24082980747 1584.94609332243'
有没有一种简单的方法可以将其加载到python中?
答案 0 :(得分:8)
我一直在使用Rick White给我的this代码。但是,specutils包可能是更好的方法:
from specutils.io import read_fits
spectra_list = read_fits.read_fits_spectrum1d('mymultispec.fits')
print spectra_list[0]
Spectrum1D([ 338.06109619, 395.59234619, 326.0012207 , ...,
660.0098877 , 686.54498291, 689.58374023])
print spectra_list[1].dispersion
<Quantity [ 8293.44875263, 8293.40459999, 8293.36044556,...,
8166.53073537, 8166.48250242, 8166.43426803] Angstrom>
答案 1 :(得分:0)
跟进@kgully 的回答 - 以及相关讨论:specutils 支持再次读取多规格文件(已经有好几年了,即使在这些答案之间有一段时间没有工作)。相关代码片段(用于任何 IRAF 格式的文件)现在是:
>>> from specutils import Spectrum1D
>>> spec = Spectrum1D.read('mymultispec.fits')
>>> print(spec)
Spectrum1D (length=762078)
flux: [ 0.4408 adu, ..., -1.0 adu ], mean=0.74146 adu
spectral axis: [ 3726.7 Angstrom, ..., 9300.0 Angstrom ],
mean=6094.4 Angstrom
如果您的 multispec 文件实际上有多个光谱,则将 Spectrum1D
替换为 SpectrumCollection
。