This website is home to data products from the application of Marginalized Analytic Dataspace Gaussian Inference for Component Separation (MADGICS) to decompose the public Gaia RVS spectra (most recently from Gaia DR3).
Publications
Please read our papers to learn more about the method and the catalog we produced. An introduction to MADGICS is provided in the catalog paper, though a more detail description is coming soon.
| Title | Reference |
|---|---|
| Measuring the 8621 Å Diffuse Interstellar Band in Gaia DR3 RVS Spectra: Obtaining a Clean Catalog by Marginalizing over Stellar Types | Saydjari et al. (2022) |
| Marginalized Analytic Dataspace Gaussian Inference for Component Separation (MADGICS) | Saydjari and Finkbeiner (in prep) |
MADGICS Outputs
| Name | Type | Unit | Description |
|---|---|---|---|
| ew | float64 | Å | DIB equivalent width |
| ew_err | float64 | Å | DIB equivalent width uncertainty |
| lam | float64 | Å | DIB center wavelength (stellar frame) |
| lam_err | float64 | Å | DIB center wavelength uncertainty |
| sig | float64 | Å | DIB width |
| sig_err | float64 | Å | DIB width uncertainty |
| v_dust_lsr | float64 | km/s | DIB velocity in LSR |
| v_dust_lsr_err | float64 | km/s | DIB velocity in LSR uncertainty1 |
| v_dust_lsr_COframe | float64 | km/s | DIB velocity in LSR (of Dame CO map) |
| log10delchisq | float64 | change in \(\chi^2\) from adding DIB component (log10) | |
| dib_snr | float64 | DIB signal-to-noise ratio (significance of detection)2 | |
| totchisqperdof | float64 | total \(\chi^2\) per degree of freedom for MADGICS component model |
Footnotes:
1. This uncertainty does not include uncertainty in the stellar frame, which should be added in quadrature to obtain the true uncertainty.↩ 2. This is a continuous quality metric that can be used as a cut to obtain cleaner catalogs.↩Supplementary Values
In the main catalog file, we also provide a subset of values in the Gaia DR3 catalog, the Gaia DR3 DIB catalog, the Bailer-Jones distance catalog (CBJ), and the result of dustmap queries along the lines of sight. Any other value desired from external catalogs can be obtain by cross-match or using the Gaia source ID, which we have propagated.
| Name | Type | Unit | Description |
|---|---|---|---|
| gaia_source_id | int64 | Gaia (e)DR3 source ID | |
| linear_indx | int64 | index of public RVS spectra, sorted on Gaia source ID | |
| stellar_snr | float64 | snr of the spectrum | |
| ra | float64 | deg | right ascension |
| dec | float64 | deg | declination |
| glon | float64 | deg | Galactic longitude |
| glat | float64 | deg | Galactic lattitude |
| X | float64 | kpc | Galactic cartesian coordinate X |
| Y | float64 | kpc | Galactic cartesian coordinate Y |
| Z | float64 | kpc | Galactic cartesian coordinate Z |
| U | float64 | Galactic cartesian X-coordinate direction (unit direction vector) | |
| V | float64 | Galactic cartesian Y-coordinate direction (unit direction vector) | |
| W | float64 | Galactic cartesian Z-coordinate direction (unit direction vector) | |
| parallax | float64 | mas | parallax of background star |
| parallax_error | float32 | mas | parallax of background star uncertainty |
| v_star_bary | float32 | km/s | radial velocity of background star (solar barycentric) |
| v_star_bary_error | float32 | km/s | radial velocity uncertainty of background star (solar barycentric) |
| ebpminrp | float32 | mag | E(BP-RP), color excess modeled by Gaia |
| sfd | float64 | mag | reddening E(B-V) along line of sight, according to SFD dustmap |
| bayestar19 | float64 | mag | reddening E(B-V) at location of background star, according to Bayestar19 dustmap |
| dibew_gspspec | float64 | Å | DIB equivalent width (GSP-Spec) |
| dibew_gspspec_uncertainty | float32 | Å | DIB equivalent width uncertainty (GSP-Spec) |
| dib_gspspec_lambda | float32 | Å | DIB center wavelength (stellar frame) (GSP-Spec) |
| dib_gspspec_lambda_uncertainty | float32 | Å | DIB center wavelength uncertainty (GSP-Spec) |
| dibp2_gspspec | float32 | Å | DIB width (GSP-Spec) |
| dibp2_gspspec_uncertainty | float32 | Å | DIB width uncertainty (GSP-Spec) |
| dibp0_gspspec | float32 | DIB Gaussian amplitude (GSP-Spec) | |
| dibqf_gspspec | Int32 | GSP-Spec DIB pipeline quality factor | |
| logchisq_gspspec | float32 | GSP-Spec \(\chi^2\) (log) for stellar fit | |
| r_med_geo | float32 | pc | median geometric distance (CBJ) |
| r_lo_geo | float32 | pc | 16th-percentile geometric distance (CBJ) |
| r_hi_geo | float32 | pc | 84th-percentile geometric distance (CBJ) |
| r_med_photogeo | float32 | pc | median photo-geometric distance (CBJ) |
| r_lo_photogeo | float32 | pc | 16th-percentile photo-geometric distance (CBJ) |
| r_hi_photogeo | float32 | pc | 84th-percentile photo-geometric distance (CBJ) |
| flag_cbj | string | distance inference flags (CBJ) |
Data Access
A small reproducibility repository (2.2 GB) is available from Zenodo. It provides all of the code, output summaries, and Jupyter notebooks which step through how the catalog was made and allow reproduction of every figure in the release paper. Individual files can be downloaded piecemeal from here. In addition, larger files containing all input spectra and output components are made available in the sources and out folders, respectively. Including these larger files, the repository is approx 500 GB, so care should be taken before starting a simple recursive download.
People
Please feel free to contact Andrew with any questions or for help using the catalog.
- Andrew Saydjari
- andrew.saydjari@cfa.harvard.edu
- Ana Sofía Uzsoy
- ana_sofia.uzsoy@cfa.harvard.edu
- Catherine Zucker
- czucker@stsci.edu
- J.E.G. Peek
- jegpeek@stsci.edu
- Doug Finkbeiner
- dfinkbeiner@cfa.harvard.edu