Package: laspec
laspecA toolkit for LAMOST spectra.citationIf you make use of this package in your research, please cite the paper below:Self-consistent Stellar Radial Velocities from LAMOST Medium-Resolution Survey (MRS) DR7Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)bibtex:@ARTICLE{2021ApJS..256...14Z,
       author = {{Zhang}, Bo and {Li}, Jiao and {Yang}, Fan and {Xiong}, Jian-Ping and {Fu}, Jian-Ning and {Liu}, Chao and {Tian}, Hao and {Li}, Yin-Bi and {Wang}, Jia-Xin and {Liang}, Cai-Xia and {Zhou}, Yu-Tao and {Zong}, Weikai and {Yang}, Cheng-Qun and {Liu}, Nian and {Hou}, Yong-Hui},
        title = "{Self-consistent Stellar Radial Velocities from LAMOST Medium-resolution Survey DR7}",
      journal = {\apjs},
     keywords = {Radial velocity, Surveys, Astronomy data analysis, Astronomy data reduction, Spectroscopic binary stars, Radio spectroscopy, Spectroscopy, Catalogs, Sky surveys, Astrostatistics, Robust regression, 1332, 1671, 1858, 1861, 1557, 1359, 1558, 205, 1464, 1882, 1949, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics},
         year = 2021,
        month = sep,
       volume = {256},
       number = {1},
          eid = {14},
        pages = {14},
          doi = {10.3847/1538-4365/ac0834},
archivePrefix = {arXiv},
       eprint = {2105.11624},
 primaryClass = {astro-ph.SR},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2021ApJS..256...14Z},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@ARTICLE{2020ApJS..246....9Z,
       author = {{Zhang}, Bo and {Liu}, Chao and {Deng}, Li-Cai},
        title = "{Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)}",
      journal = {\apjs},
     keywords = {Astronomical methods, Astronomy data analysis, Bayesian statistics, Stellar abundances, Chemical abundances, Fundamental parameters of stars, Catalogs, Surveys, 1043, 1858, 1900, 1577, 224, 555, 205, 1671, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics},
         year = 2020,
        month = jan,
       volume = {246},
       number = {1},
          eid = {9},
        pages = {9},
          doi = {10.3847/1538-4365/ab55ef},
archivePrefix = {arXiv},
       eprint = {1908.08677},
 primaryClass = {astro-ph.SR},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020ApJS..246....9Z},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}authorBo Zhang,bozhang@nao.cas.cnhome pagegithub:https://github.com/hypergravity/laspecPYPI:https://pypi.org/project/laspec/installgitclonehttps://github.com/hypergravity/laspec.gitcdlaspec
shinstall.shdoumentationA documentation on ReadTheDoc will be updated soon ...Link to the doc:https://laspec.readthedocs.io/en/latest/module structurebinningmodule for rebinning spectrarebin(wave, flux, flux_err, mask): rebin spectraccfmodule for cross correlation functionsine_bell: a sine bell functionwxcorr: weigted cross-correlationwxcorr_cost: negative CCF functionwxcorr_spec: weigted cross-correlation of two spectrawxcorr_rvgrid: weighted cross correlation given an RV gridwxcorr_cost_binary: negative CCF functionwxcorr_spec_binary: weigted cross-correlation of two spectrawxcorr_rvgrid_binary: weighted cross correlation given an RV gridRVMRadial Velocity Machinemeasure: measure the RV of single starsmeasure_binary: measure the RV of binary systemsconvolutionmodule for spectral Gaussian convolutionconv_spec: capable to tackle arbitrary R_hi and R_lo but relatively slowinterpolationinterpolation, but slow, please do not use.Interp1q: use numpy.interp insteadlamostmodule for LAMOST spectra and fileslamost_filepath(planid, mjd, spid, fiberid)lamost_filepath_med(planid, mjd, spid, fiberid)sdss_filepath(plate, mjd, fiberid)mrsMRS moduleMrsSpec: MRS spectrum (B / R)MrsEpoch: MRS epoch spectrum (B + R)MrsFits(astropy.io.fits.HDUList): MRS fits readerMrsSource(numpy.ndarray): MRS source constructorline_indicesmodule to measure spectral line index (EW)measure_line_index: measure line index (EW)normalizationmodule to normalize spectranormalize_spectrum_spline: a Python version of Chao's method (recommended)normalize_spectrum_poly: polynomial normalizationnormalize_spectrum_general： a unified wrapper of spline and polyNOTE: bad pixels (e.g., cosmic rays) should be properly removed before normallizationqconvquick convolution, designed for two cases:conv_spec_Gaussian(wave, flux, R_hi=3e5, R_lo=2000): scalar resolution to scalar resolution instrumental broadeningconv_spec_Rotation(wave, flux, vsini=100., epsilon=0.6): stellar rotation broadeningread_spectrummodule to read LAMOST/SDSS spectraread_spectrum(fp): read LAMOST low-res spectraread_lamostms(fp): read LAMOST medium-res spcetraspecmodules for operations on general spectra (deprecated)Spec: spec classwavelengthmodule to convert wavelength between air and vacuumwave_log10: log10 wavelength gridvac2air: convert wavelength from vacuum to airair2vac: convert wavelength from air to vacuumacknowledgements...