laspec

Modules for basic operations on LAMOST spectra, etc.

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

• Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)

author

Bo Zhang, [email protected]

home page

• https://github.com/hypergravity/laspec
• https://pypi.org/project/laspec/

install

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

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(astropy.io.fits.HDUList): 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

acknowledgements

...