DAP MAPS File Construction

Analysis class: mangadap.dapfits.construct_map_file

File Root: $MANGA_SPECTRO_ANALYSIS/$MANGADRP_VER/$MANGADAP_VER/[PLATE]/[IFUDESIGN]

File Template: manga-[PLATE]-[IFUDESIGN]-MAPS-[DAPTYPE].fits.gz

Important class dependencies:

  • All of the main DAP classes:

    • mangadap.proc.reductionassessments.ReductionAssessment
    • mangadap.proc.spatiallybinnedspectra.SpatiallyBinnedSpectra
    • mangadap.proc.stellarcontinuummodel.StellarContinuumModel
    • mangadap.proc.emissionlinemoments.EmissionLineMoments
    • mangadap.proc.emissionlinemodel.EmissionLineModel
    • mangadap.proc.spectralindices.SpectralIndices

  • mangadap.util.fitsutil.DAPFitsUtil: Contains many convience methods that, e.g., reconstruct a set of maps or datacubes based on input data sorted by bin ID and a map with the location of each bin ID.

Algorithm:
  • Check the input types
  • Initialize the primary header by copying over the DRP header and adding the DAP version information.
  • Construct the SPX_SKYCOO, SPX_ELLCOO, SPX_MFLUX, SPX_MFLUX_IVAR, and SPX_SNR maps from the mangadap.proc.reductionassessments.ReductionAssessment object using mangadap.dapfits.construct_maps_file.reduction_assessment_maps().
  • Combine the BINID extensions from the mangadap.proc.spatiallybinnedspectra.SpatiallyBinnedSpectra, mangadap.proc.stellarcontinuummodel.StellarContinuumModel, mangadap.proc.emissionlinemoments.EmissionLineMoments, mangadap.proc.emissionlinemodel.EmissionLineModel, and mangadap.proc.spectralindices.SpectralIndices objects using mangadap.dapfits.combine_binid_extensions().
  • Construct the BIN_LWSKYCOO, BIN_LWELLCOO, BIN_AREA, BIN_FAREA, BIN_MFLUX, BIN_MFLUX_IVAR, BIN_MFLUX_MASK, and BIN_SNR extensions from the mangadap.proc.spatiallybinnedspectra.SpatiallyBinnedSpectra object using mangadap.dapfits.construct_maps_file.binned_spectra_maps().
  • Construct the STELLAR_VEL, STELLAR_VEL_IVAR, STELLAR_VEL_MASK, STELLAR_SIGMA, STELLAR_SIGMA_IVAR, STELLAR_SIGMA_MASK, STELLAR_SIGMACORR, and STELLAR_FOM extensions using the mangadap.proc.stellarcontinuummodel.StellarContinuumModel object using mangadap.dapfits.construct_maps_file.stellar_continuum_maps().
  • Construct the EMLINE_SFLUX, EMLINE_SFLUX_IVAR, EMLINE_SFLUX_MASK, EMLINE_SEW, EMLINE_SEW_CNT, EMLINE_SEW_IVAR, and EMLINE_SEW_MASK extensions using the mangadap.proc.emissionlinemoments.EmissionLineMoments object using mangadap.dapfits.construct_maps_file.emission_line_moment_maps().
  • Construct the EMLINE_GFLUX, EMLINE_GFLUX_IVAR, EMLINE_GFLUX_MASK, EMLINE_GEW, EMLINE_GEW_CNT, EMLINE_GEW_IVAR, EMLINE_GEW_MASK, EMLINE_GVEL, EMLINE_GVEL_IVAR, EMLINE_GVEL_MASK, EMLINE_GSIGMA, EMLINE_GSIGMA_IVAR, EMLINE_GSIGMA_MASK, EMLINE_INSTSIGMA, EMLINE_TPLSIGMA, EMLINE_GA, EMLINE_GANR, EMLINE_FOM, and EMLINE_LFOM using the mangadap.proc.emissionlinemodel.EmissionLineModel object using mangadap.dapfits.construct_maps_file.emission_line_model_maps().
  • Construct the SPECINDEX, SPECINDEX_IVAR, SPECINDEX_MASK, SPECINDEX_CORR, SPECINDEX_BCEN, SPECINDEX_BCNT, SPECINDEX_RCEN, SPECINDEX_RCNT, and SPECINDEX_MODEL extensions using the mangadap.proc.spectralindices.SpectralIndices object using mangadap.dapfits.construct_maps_file.spectral_index_maps().
  • Compute the griz S/N metrics to include in the header and which then get propagated to the DAPall file using mangadap.dapfits.add_snr_metrics_to_header().
  • Finalize the DAP primary header, which primarily constructs the MANGA_DAPQUAL bit using mangadap.dapfits.finalize_dap_primary_header().
  • Flag any map data that is not already flagged and does not have a positive inverse variance with both the MATHERROR and DONOTUSE bits.