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Modules for LAMOST spectra.

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Modules for basic operations on LAMOST spectra, etc.

If you make use of this package in your research, please cite the paper below:


Bo Zhang,

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  • for the latest stable version: pip install -U laspec
  • for the latest github version: pip install -U git+git://

module structure

  • binning
    module for rebinning spectra
    • rebin(wave, flux, flux_err, mask): rebin spectra
  • ccf
    module for cross correlation function
    • sine_bell: a sine bell function
    • wxcorr: weigted cross-correlation
    • wxcorr_cost: negative CCF function
    • wxcorr_spec: weigted cross-correlation of two spectra
    • wxcorr_rvgrid: weighted cross correlation given an RV grid
    • wxcorr_cost_binary: negative CCF function
    • wxcorr_spec_binary: weigted cross-correlation of two spectra
    • wxcorr_rvgrid_binary: weighted cross correlation given an RV grid
    • RVM Radial Velocity Machine
      • measure: measure the RV of single stars
      • measure_binary: measure the RV of binary systems
  • convolution
    module for spectral Gaussian convolution
    • conv_spec: capable to tackle arbitrary R_hi and R_lo but relatively slow
  • interpolation
    interpolation, but slow, please do not use.
    • Interp1q: use numpy.interp instead
  • lamost
    module for LAMOST spectra and files
    • lamost_filepath(planid, mjd, spid, fiberid)
    • lamost_filepath_med(planid, mjd, spid, fiberid)
    • sdss_filepath(plate, mjd, fiberid)
  • mrs
    MRS module
    • MrsSpec: MRS spectrum (B / R)
    • MrsEpoch: MRS epoch spectrum (B + R)
    • MrsFits( MRS fits reader
    • MrsSource(numpy.ndarray): MRS source constructor
  • line_indices
    module to measure spectral line index (EW)
    • measure_line_index: measure line index (EW)
  • normalization
    module to normalize spectra
    • normalize_spectrum_spline: a Python version of Chao's method (recommended)
    • normalize_spectrum_poly: polynomial normalization
    • normalize_spectrum_general: a unified wrapper of spline and poly
    • NOTE: bad pixels (e.g., cosmic rays) should be properly removed before normallization
  • qconv
    quick convolution, designed for two cases:
    • conv_spec_Gaussian(wave, flux, R_hi=3e5, R_lo=2000): scalar resolution to scalar resolution instrumental broadening
    • conv_spec_Rotation(wave, flux, vsini=100., epsilon=0.6): stellar rotation broadening
  • read_spectrum
    module to read LAMOST/SDSS spectra
    • read_spectrum(fp): read LAMOST low-res spectra
    • read_lamostms(fp): read LAMOST medium-res spcetra
  • spec
    modules for operations on general spectra (deprecated)
    • Spec: spec class
  • wavelength
    module to convert wavelength between air and vacuum
    • wave_log10: log10 wavelength grid
    • vac2air: convert wavelength from vacuum to air
    • air2vac: convert wavelength from air to vacuum



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