Value Added Catalogs

In addition to the primary SDSS photometry and spectroscopy, there are a few extra catalogs created by our collaborators that are distributed through the SAS. These Value-Added Catalogs (VACs) are listed below, and include catalogs that were released in earlier data releases.

apMADGICS Spectral Components

Scientific Analysis Catalog
MWM
STAR
CAS
DR19

APOGEE spectral components of star, sky, and diffuse interstellar bands (DIBs) for all DR17 visit spectra

Andrew Saydjari

Catalog Data

DR19
This dataset appears in DR19 SkyServer and CasJobs in the following tables:

Abstract

This value-added catalog provides a reprocessing of all DR17 infrared spectra, starting from the ap1D level products (non-uniform, but wavelength calibrated, fluxed, 1D visit spectra) from the APOGEE data reduction pipeline. We use data-driven priors to separate the spectra into sky, star, and diffuse interstellar band (DIB) components, essentially doing a Bayesian version of sky subtraction and telluric correction, compared to standard pipelines, while also making radial velocity (RV) and DIB catalogs that marginalize over stellar type. The resultant RV catalog delivers 30 m/s precision, and is described in Saydjari et al. (2025). The mean of each component (a full spectrum) for a visit, as well as its uncertainties, are reported here as a spectral “catalog.” We provide many files, which are documented in the VAC's data model. The main files of interest include:

  • allVisit_MADGICS, which contains a table summarizing key parameters from the modeling (such as RV) of each visit spectrum and look-up indexing for obtaining the spectral components from the spectral files (see below),
  • apMADGICS_out_apVisit_v0, the most analogous spectrum to the APOGEE DRP apVisit file, which does the Bayesian MADGICS version of sky “subtraction” and telluric correction,
  • apMADGICS_out, a family of spectral files specifying the component spectra from the spectral decomposition that contribute to a given visit spectrum.
These outputs and the method will be described more fully in Saydjari et al., in prep. This method has been described and applied previously to Gaia RVS (Saydjari et al. 2023) and DESI (Uzsoy et al. 2025) spectra. The code base is available in GitHub here.

Catalog last modified: 2025-07-10 11:47:15

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