Stellar Reddening VAC¶
Overview¶
Y1 spectra and catalog data for creating the DESI dust reddening map of Zhou et al. (2024).
While the paper uses the first two years of DESI data, only the Y1 portion of the data is released here. Also note that while both the MWS VAC and this VAC use RVSpecfit results and are based on the same DESI data, there are some key differences: 1) the RVSpecfit model spectra in this VAC are the zero-extinction spectra (thus suitable for estimating the “intrinsic” stellar colors), whereas the MWS VAC model spectra include an additional multiplicative term to fit the smooth-varying component of the observed spectra; 2) the DR1 MWS VAC uses a different (newer) version of rvspecfit than the version used here. For general purposes (other than for studying dust), the MWS VAC should be used instead of this VAC.
Code for creating the dust map: https://github.com/rongpu/desidust
Data Access¶
Data URL: https://data.desi.lbl.gov/public/dr1/vac/dr1/stellar-reddening/
NERSC access for DESI collaborators:
/global/cfs/cdirs/desi/public/dr1/vac/dr1/stellar-reddening/
Spectra¶
The directory spectra/ contains the observed spectra (input for RVSpecfit) from DESI Y1 observations and the corresponding RVSpecfit model spectra. It includes standard stars (STD_FAINT and STD_BRIGHT) from the dark and bright programs, MWS stars (MWS_MAIN_BLUE, MWS_MAIN_RED and MWS_BROAD) from the bright program, and standard and MWS stars (GAIA_STD_FAINT, GAIA_STD_BRIGHT, BACKUP_BRIGHT, BACKUP_FAINT) from the backup program. This selection is purely based on targeting, and it includes the spectra of stars that are ultimately dropped by the quality cuts. They follow the same healpix-based directory structure and file naming convention as the DESI spectra. Example file:
/stellar-reddening/v1.0/spectra/main/bright/0/0/rvspecfit-main-bright-0.fits
The first 15 HDUs (FIBERMAP, _WAVELENGTH, _FLUX, _IVAR, _MASK, SCORES, REDSHIFTS) are copied from the DESI pipeline output, specifically the iron reduction of the coadd files and the redrock files.
The RVTAB HDU contains the RVSpecfit parameters The last two HDUs, SPECMOD and WAVELENGTH, containing the RVSpecfit model spectra and its wavelength grid, are used to obtain the zero-extinction model photometry of each star. The model spectrum SPECMOD, in \(f_{\lambda}\) with arbitrary absolute normalization, is obtained by evaluating the interpolation of PHOENIX templates on the best-fit stellar atmospheric parameters.
HDUs¶
| HDU# | EXTNAME | Type | Contents |
|---|---|---|---|
| HDU1 | FIBERMAP | BINTABLE | fibermap table |
| HDU2 | B_WAVELENGTH | IMAGE | Wavelength array of b-channel spectra |
| HDU3 | B_FLUX | IMAGE | Flux of b-channel spectra |
| HDU4 | B_IVAR | IMAGE | Inverse variance of b-channel spectra |
| HDU5 | B_MASK | IMAGE | Mask of b-channel spectra |
| HDU6 | R_WAVELENGTH | IMAGE | Wavelength array of r-channel spectra |
| HDU7 | R_FLUX | IMAGE | Flux of r-channel spectra |
| HDU8 | R_IVAR | IMAGE | Inverse variance of r-channel spectra |
| HDU9 | R_MASK | IMAGE | Mask of r-channel spectra |
| HDU10 | Z_WAVELENGTH | IMAGE | Wavelength array of z-channel spectra |
| HDU11 | Z_FLUX | IMAGE | Flux of z-channel spectra |
| HDU12 | Z_IVAR | IMAGE | Inverse variance of z-channel spectra |
| HDU13 | Z_MASK | IMAGE | Mask of z-channel spectra |
| HDU14 | SCORES | BINTABLE | Scores table |
| HDU15 | REDSHIFTS | BINTABLE | Table with redshifts and spectral classifications |
| HDU16 | RVTAB | BINTABLE | RVSpecfit results |
| HDU17 | WAVELENGTH | IMAGE | Wavelength array of SPECMOD spectra, in angstrom |
| HDU18 | SPECMOD | IMAGE | RVSpecfit model spectra of the stars obtained by evaluating the interpolation of PHOENIX templates on the best-fit stellar atmospheric parameters. The spectra are in \(f_{\lambda}\), with arbitrary absolute normalization |
Catalog¶
The catalog file desi_dust_stellar_catalog_y1.fits contains stars used in the dust map (after the quality cuts are applied). The columns (listed below) include those copied from the DESI output, RVSpecfit output, Gaia DR3, Legacy Surveys DR9, and model spectrophotometry and reddening measurements.
Data model¶
EXTNAME = STELLAR_REDDENING
| Name | Type | Units | Description |
|---|---|---|---|
| Columns PROGRAM to DELTACHI2 are copied from the DESI redrock output | |||
| PROGRAM | str | – | DESI program type - BRIGHT, DARK, BACKUP, OTHER |
| TARGETID_DESI | int64 | – | Unique DESI target ID assigned by DESI |
| COADD_FIBERSTATUS | int32 | – | bitwise-AND of input FIBERSTATUS |
| TARGET_RA | float64 | deg | Barycentric right ascension in ICRS |
| TARGET_DEC | float64 | deg | Barycentric declination in ICRS |
| FA_TARGET | int64 | – | Targeting bit internally used by fiberassign (linked with FA_TYPE) |
| FA_TYPE | uint8 | – | Fiberassign internal target type (science, standard, sky, safe, suppsky) |
| OBJTYPE | str | – | Object type: TGT, SKY, NON, BAD |
| SUBPRIORITY | float64 | – | Random subpriority [0-1) to break assignment ties |
| OBSCONDITIONS | int32 | – | Bitmask of allowed observing conditions |
| PHOTSYS_DESI | str | – | Photometric system for DESI targeting: ‘N’ for the MzLS/BASS photometric system, ‘S’ for DECaLS |
| PRIORITY_INIT | int64 | – | Target initial priority from target selection bitmasks and OBSCONDITIONS |
| NUMOBS_INIT | int64 | – | Initial number of observations for target calculated across target selection bitmasks and OBSCONDITIONS |
| DESI_TARGET | int64 | – | DESI (dark time program) target selection bitmask |
| BGS_TARGET | int64 | – | BGS (Bright Galaxy Survey) target selection bitmask |
| MWS_TARGET | int64 | – | Milky Way Survey targeting bits |
| SCND_TARGET | int64 | – | Target selection bitmask for secondary programs |
| PLATE_RA | float64 | deg | Barycentric Right Ascension in ICRS to be used by PlateMaker |
| PLATE_DEC | float64 | deg | Barycentric Declination in ICRS to be used by PlateMaker |
| COADD_NUMEXP | int16 | – | Number of exposures in coadd |
| COADD_EXPTIME | float32 | s | Summed exposure time for coadd |
| COADD_NUMNIGHT | int16 | – | Number of nights in coadd |
| COADD_NUMTILE | int16 | – | Number of tiles in coadd |
| MEAN_DELTA_X | float32 | mm | Mean (over exposures) fiber difference requested - actual CS5 X location on focal plane |
| RMS_DELTA_X | float32 | mm | RMS (over exposures) of the fiber difference between measured and requested CS5 X location on focal plane |
| MEAN_DELTA_Y | float32 | mm | Mean (over exposures) fiber difference requested - actual CS5 Y location on focal plane |
| RMS_DELTA_Y | float32 | mm | RMS (over exposures) of the fiber difference between measured and requested CS5 Y location on focal plane |
| MEAN_FIBER_RA | float64 | deg | Mean (over exposures) RA of actual fiber position |
| STD_FIBER_RA | float32 | arcsec | Standard deviation (over exposures) of RA of actual fiber position |
| MEAN_FIBER_DEC | float64 | deg | Mean (over exposures) DEC of actual fiber position |
| STD_FIBER_DEC | float32 | arcsec | Standard deviation (over exposures) of DEC of actual fiber position |
| MEAN_PSF_TO_FIBER_SPECFLUX | float32 | – | Mean of input exposures fraction of light from point-like source captured by 1.5 arcsec diameter fiber given atmospheric seeing |
| TSNR2_GPBDARK | float32 | – | template (S/N)^2 for dark targets in guider pass band |
| TSNR2_ELG | float32 | – | ELG template (S/N)^2 summed over B,R,Z |
| TSNR2_GPBBRIGHT | float32 | – | template (S/N)^2 for bright targets in guider pass band |
| TSNR2_LYA | float32 | – | LYA template (S/N)^2 summed over B,R,Z |
| TSNR2_BGS | float32 | – | BGS template (S/N)^2 summed over B,R,Z |
| TSNR2_GPBBACKUP | float32 | – | template (S/N)^2 for backup targets in guider pass band |
| TSNR2_QSO | float32 | – | QSO template (S/N)^2 summed over B,R,Z |
| TSNR2_LRG | float32 | – | LRG template (S/N)^2 summed over B,R,Z |
| Z | float64 | – | Redshift measured by Redrock |
| ZERR | float64 | – | Redshift error from redrock |
| ZWARN | int64 | – | Redshift warning bitmask from Redrock |
| CHI2 | float64 | – | Best fit chi squared |
| NPIXELS | int64 | – | Number of unmasked pixels contributing to the Redrock fit |
| SPECTYPE | str | – | Spectral type of Redrock best fit template (e.g. GALAXY, QSO, STAR) |
| SUBTYPE | str | – | Spectral subtype |
| DELTACHI2 | float64 | – | chi2 difference between first- and second-best redrock template fits |
| Columns VRAD to SUCCESS are copied from the RVSpecfit output | |||
| VRAD | float64 | km s^-1 | Radial velocity |
| VRAD_ERR | float64 | km s^-1 | Radial velocity error |
| VRAD_SKEW | float64 | – | Radial velocity posterior skewness |
| VRAD_KURT | float64 | – | Radial velocity posterior kurtosis |
| LOGG | float64 | – | Log of surface gravity |
| TEFF | float64 | K | Effective temperature |
| ALPHAFE | float64 | – | [alpha/Fe] from template fitting |
| FEH | float64 | – | [Fe/H] from template fitting |
| LOGG_ERR | float64 | – | Log of surface gravity uncertainty |
| TEFF_ERR | float64 | K | Effective temperature uncertainty |
| ALPHAFE_ERR | float64 | – | [alpha/Fe] uncertainty from template fitting |
| FEH_ERR | float64 | – | [Fe/H] uncertainty from template fitting |
| VSINI | float64 | km s^-1 | Stellar rotation velocity |
| CHISQ_TOT | float64 | – | Total chi-square for all arms |
| CHISQ_C_TOT | float64 | – | Total chi-square for all arms for polynomial only fit |
| CHISQ_B | float64 | – | Chi-square in the B arm |
| CHISQ_C_B | float64 | – | Chi-square in the B arm after fitting continuum only |
| CHISQ_R | float64 | – | Chi-square in the R arm |
| CHISQ_C_R | float64 | – | Chi-square in the R arm after fitting continuum only |
| CHISQ_Z | float64 | – | Chi-square in the Z arm |
| CHISQ_C_Z | float64 | – | Chi-square in the Z arm after fitting continuum only |
| RVS_WARN | int64 | – | RVSpecfit warning flag |
| SN_B | float32 | – | Median S/N in the B arm |
| SN_R | float32 | – | Median S/N in the R arm |
| SN_Z | float32 | – | Median S/N in the Z arm |
| SUCCESS | bool | – | Did we succeed or fail |
| Columns GAIA_SOURCE_ID to GAIA_PMDEC_ERROR are copied from Gaia DR3 | |||
| GAIA_SOURCE_ID | int64 | – | Gaia unique source designation |
| GAIA_REF_EPOCH | float32 | yr | Gaia reference epoch (Julian Years) |
| GAIA_RA | float64 | deg | Gaia ICRS right ascension |
| GAIA_RA_ERROR | float64 | mas | Gaia standard error of right ascension |
| GAIA_DEC | float64 | deg | Gaia ICRS declination |
| GAIA_DEC_ERROR | float64 | mas | Gaia standard error of declination |
| GAIA_PHOT_G_MEAN_MAG | float32 | mag | Gaia G band magnitude |
| GAIA_PHOT_G_MEAN_FLUX_OVER_ERROR | float32 | – | Gaia G band signal-to-noise |
| GAIA_PHOT_BP_MEAN_MAG | float32 | mag | Gaia BP band magnitude |
| GAIA_PHOT_BP_MEAN_FLUX_OVER_ERROR | float32 | – | Gaia BP band signal-to-noise |
| GAIA_PHOT_RP_MEAN_MAG | float32 | mag | Gaia RP band magnitude |
| GAIA_PHOT_RP_MEAN_FLUX_OVER_ERROR | float32 | – | Gaia RP band signal-to-noise |
| GAIA_PHOT_BP_RP_EXCESS_FACTOR | float32 | – | Gaia BP/RP excess factor |
| GAIA_PHOT_G_N_OBS | int32 | – | Gaia G band number of observations |
| GAIA_ASTROMETRIC_EXCESS_NOISE | float32 | – | Gaia astrometric excess noise |
| GAIA_ASTROMETRIC_EXCESS_NOISE_SIG | float32 | – | Gaia significance of excess noise |
| GAIA_DUPLICATED_SOURCE | bool | – | Gaia duplicated source flag |
| GAIA_ASTROMETRIC_SIGMA5D_MAX | float32 | mas | Gaia longest semi-major axis of the 5-d error ellipsoid |
| GAIA_ASTROMETRIC_PARAMS_SOLVED | bool | – | which astrometric parameters were estimated for a Gaia source |
| GAIA_RUWE | float32 | – | Gaia renormalised unit weight error |
| GAIA_IPD_GOF_HARMONIC_AMPLITUDE | float32 | – | Gaia amplitude of the IPD GoF versus position angle of scan |
| GAIA_IPD_FRAC_MULTI_PEAK | bool | – | Gaia percent of successful-IPD windows with more than one peak |
| GAIA_PARALLAX | float32 | mas | Gaia parallax |
| GAIA_PARALLAX_ERROR | float32 | mas | Gaia standard error of parallax |
| GAIA_PMRA | float32 | mas yr^-1 | Gaia proper motion in right ascension direction |
| GAIA_PMRA_ERROR | float32 | mas yr^-1 | Gaia standard error of proper motion in right ascension direction |
| GAIA_PMDEC | float32 | mas yr^-1 | Gaia proper motion in declination direction |
| GAIA_PMDEC_ERROR | float32 | mas yr^-1 | Gaia standard error of proper motion in declination direction |
| Columns RELEASE to PHOTSYS_PHOTOM are copied from Legacy Surveys DR9 | |||
| RELEASE | int16 | – | Imaging surveys release ID |
| BRICKID | int32 | – | Brick ID from tractor input |
| BRICKNAME | str | – | Brick name from tractor input |
| OBJID | int32 | – | Imaging Surveys OBJID on that brick (renamed BRICK_OBJID) |
| TYPE | str | – | Morphological Model type from Tractor; renamed MORPHTYPE in most files |
| DCHISQ | float32 | – | Difference in chi-squared between Tractor model fits |
| EBV_SFD | float32 | mag | Galactic extinction E(B-V) reddening from SFD98 |
| FLUX_G | float32 | nanomaggy | Flux in the Legacy Survey g-band (AB) |
| FLUX_R | float32 | nanomaggy | Flux in the Legacy Survey r-band (AB) |
| FLUX_Z | float32 | nanomaggy | Flux in the Legacy Survey z-band (AB) |
| FLUX_W1 | float32 | nanomaggy | WISE flux in W1 (AB) |
| FLUX_W2 | float32 | nanomaggy | WISE flux in W2 (AB) |
| FLUX_W3 | float32 | nanomaggy | WISE flux in W3 (AB) |
| FLUX_W4 | float32 | nanomaggy | WISE flux in W4 (AB) |
| FLUX_IVAR_G | float32 | nanomaggy^-2 | Inverse variance of FLUX_G (AB) |
| FLUX_IVAR_R | float32 | nanomaggy^-2 | Inverse variance of FLUX_R (AB) |
| FLUX_IVAR_Z | float32 | nanomaggy^-2 | Inverse variance of FLUX_Z (AB) |
| FLUX_IVAR_W1 | float32 | nanomaggy^-2 | Inverse variance of FLUX_W1 (AB) |
| FLUX_IVAR_W2 | float32 | nanomaggy^-2 | Inverse variance of FLUX_W2 (AB) |
| FLUX_IVAR_W3 | float32 | nanomaggy^-2 | Inverse variance of FLUX_W3 (AB) |
| FLUX_IVAR_W4 | float32 | nanomaggy^-2 | Inverse variance of FLUX_W4 (AB) |
| MW_TRANSMISSION_G | float32 | – | Milky Way dust transmission in LS g-band assuming SFD98 |
| MW_TRANSMISSION_R | float32 | – | Milky Way dust transmission in LS r-band assuming SFD98 |
| MW_TRANSMISSION_Z | float32 | – | Milky Way dust transmission in LS z-band assuming SFD98 |
| MW_TRANSMISSION_W1 | float32 | – | Milky Way dust transmission in WISE W1 assuming SFD98 |
| MW_TRANSMISSION_W2 | float32 | – | Milky Way dust transmission in WISE W2 assuming SFD98 |
| MW_TRANSMISSION_W3 | float32 | – | Milky Way dust transmission in WISE W3 assuming SFD98 |
| MW_TRANSMISSION_W4 | float32 | – | Milky Way dust transmission in WISE W4 assuming SFD98 |
| NOBS_G | int16 | – | Number of images for central pixel in g-band |
| NOBS_R | int16 | – | Number of images for central pixel in r-band |
| NOBS_Z | int16 | – | Number of images for central pixel in z-band |
| NOBS_W1 | int16 | – | Number of images that contribute to the central pixel in W1: filter for this object (not profile-weighted) |
| NOBS_W2 | int16 | – | Number of images that contribute to the central pixel in W2: filter for this object (not profile-weighted) |
| NOBS_W3 | int16 | – | Number of images that contribute to the central pixel in W3: filter for this object (not profile-weighted) |
| NOBS_W4 | int16 | – | Number of images that contribute to the central pixel in W4: filter for this object (not profile-weighted) |
| RCHISQ_G | float32 | – | Profile-weighted |
| RCHISQ_R | float32 | – | Profile-weighted |
| RCHISQ_Z | float32 | – | Profile-weighted |
| RCHISQ_W1 | float32 | – | Profile-weighted |
| RCHISQ_W2 | float32 | – | Profile-weighted |
| RCHISQ_W3 | float32 | – | Profile-weighted |
| RCHISQ_W4 | float32 | – | Profile-weighted |
| FRACFLUX_G | float32 | – | Profile-weighted fraction of the flux from other sources divided by the total flux in g (typically [0,1]) |
| FRACFLUX_R | float32 | – | Profile-weighted fraction of the flux from other sources divided by the total flux in r (typically [0,1]) |
| FRACFLUX_Z | float32 | – | Profile-weighted fraction of the flux from other sources divided by the total flux in z (typically [0,1]) |
| FRACFLUX_W1 | float32 | – | Profile-weighted fraction of the flux from other sources divided by the total flux in W1 (typically [0,1]) |
| FRACFLUX_W2 | float32 | – | Profile-weighted fraction of the flux from other sources divided by the total flux in W2 (typically [0,1]) |
| FRACFLUX_W3 | float32 | – | Profile-weighted fraction of the flux from other sources divided by the total flux in W3 (typically [0,1]) |
| FRACFLUX_W4 | float32 | – | Profile-weighted fraction of the flux from other sources divided by the total flux in W4 (typically [0,1]) |
| FRACMASKED_G | float32 | – | Profile-weighted fraction of pixels masked from all observations of this object in g, strictly between [0,1] |
| FRACMASKED_R | float32 | – | Profile-weighted fraction of pixels masked from all observations of this object in r, strictly between [0,1] |
| FRACMASKED_Z | float32 | – | Profile-weighted fraction of pixels masked from all observations of this object in z, strictly between [0,1] |
| FRACIN_G | float32 | – | Fraction of a source’s flux within the blob in g, near unity for real sources |
| FRACIN_R | float32 | – | Fraction of a source’s flux within the blob in r, near unity for real sources |
| FRACIN_Z | float32 | – | Fraction of a source’s flux within the blob in z, near unity for real sources |
| ANYMASK_G | int16 | – | Bitwise mask set if the central pixel from any image satisfies each condition in g |
| ANYMASK_R | int16 | – | Bitwise mask set if the central pixel from any image satisfies each condition in r |
| ANYMASK_Z | int16 | – | Bitwise mask set if the central pixel from any image satisfies each condition in z |
| ALLMASK_G | int16 | – | Bitwise mask set if the central pixel from all images satisfy each condition in g |
| ALLMASK_R | int16 | – | Bitwise mask set if the central pixel from all images satisfy each condition in r |
| ALLMASK_Z | int16 | – | Bitwise mask set if the central pixel from all images satisfy each condition in z |
| WISEMASK_W1 | uint8 | – | Bitwise mask for WISE W1 data |
| WISEMASK_W2 | uint8 | – | Bitwise mask for WISE W2 data |
| PSFSIZE_G | float32 | arcsec | Median PSF size evaluated at the BRICK_PRIMARY objects in this brick in g-band |
| PSFSIZE_R | float32 | arcsec | Median PSF size evaluated at the BRICK_PRIMARY objects in this brick in r-band |
| PSFSIZE_Z | float32 | arcsec | Median PSF size evaluated at the BRICK_PRIMARY objects in this brick in z-band |
| PSFDEPTH_G | float32 | nanomaggy^-2 | PSF-based depth in g-band |
| PSFDEPTH_R | float32 | nanomaggy^-2 | PSF-based depth in r-band |
| PSFDEPTH_Z | float32 | nanomaggy^-2 | PSF-based depth in z-band |
| GALDEPTH_G | float32 | nanomaggy^-2 | Galaxy model-based depth in LS g-band |
| GALDEPTH_R | float32 | nanomaggy^-2 | Galaxy model-based depth in LS r-band |
| GALDEPTH_Z | float32 | nanomaggy^-2 | Galaxy model-based depth in LS z-band |
| PSFDEPTH_W1 | float32 | nanomaggy^-2 | PSF-based depth in WISE W1 |
| PSFDEPTH_W2 | float32 | nanomaggy^-2 | PSF-based depth in WISE W2 |
| WISE_COADD_ID | str | – | unWISE coadd file name for the center of each object |
| SHAPE_R | float32 | arcsec | Half-light radius of galaxy model (>0) |
| SHAPE_R_IVAR | float32 | arcsec^-2 | Inverse variance of SHAPE_R |
| SHAPE_E1 | float32 | – | Ellipticity component 1 of galaxy model for galaxy type MORPHTYPE |
| SHAPE_E1_IVAR | float32 | – | Inverse variance of SHAPE_E1 |
| SHAPE_E2 | float32 | – | Ellipticity component 2 of galaxy model for galaxy type MORPHTYPE |
| SHAPE_E2_IVAR | float32 | – | Inverse variance of SHAPE_E2 |
| FIBERFLUX_G | float32 | nanomaggy | Predicted g-band flux within a fiber of diameter 1.5 arcsec from this object in 1 arcsec Gaussian seeing |
| FIBERFLUX_R | float32 | nanomaggy | Predicted r-band flux within a fiber of diameter 1.5 arcsec from this object in 1 arcsec Gaussian seeing |
| FIBERFLUX_Z | float32 | nanomaggy | Predicted z-band flux within a fiber of diameter 1.5 arcsec from this object in 1 arcsec Gaussian seeing |
| FIBERTOTFLUX_G | float32 | nanomaggy | Predicted g-band flux within a fiber of diameter 1.5 arcsec from all sources at this location in 1 arcsec Gaussian seeing |
| FIBERTOTFLUX_R | float32 | nanomaggy | Predicted r-band flux within a fiber of diameter 1.5 arcsec from all sources at this location in 1 arcsec Gaussian seeing |
| FIBERTOTFLUX_Z | float32 | nanomaggy | Predicted z-band flux within a fiber of diameter 1.5 arcsec from all sources at this location in 1 arcsec Gaussian seeing |
| MASKBITS | int16 | – | Bitwise mask from the imaging indicating potential issue or blending |
| FITBITS | int16 | – | Bitwise mask detailing properties of how a source was fit |
| SERSIC | float32 | – | Power-law index for the Sersic profile model (MORPHTYPE=’SER’) |
| SERSIC_IVAR | float32 | – | Inverse variance of SERSIC |
| TARGETID_PHOTOM | int64 | – | Unique ID based on the imaging data |
| PHOTSYS_PHOTOM | str | – | Photometric system of the imaging data: ‘N’ for the MzLS/BASS photometric system, ‘S’ for DECaLS |
| Columns MODEL_GMAG_N_REDDENED to ERZ_ERR are derived from the RVSpecfit model spectra | |||
| MODEL_GMAG_N_REDDENED | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in BASS g-band filter with extinction assuming SFD98 |
| MODEL_GMAG_N | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in BASS g-band filter with no extinction |
| MODEL_GMAG_S_REDDENED | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in DECam g-band filter with extinction assuming SFD98 |
| MODEL_GMAG_S | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in DECam g-band filter with no extinction |
| MODEL_RMAG_N_REDDENED | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in BASS r-band filter with extinction assuming SFD98 |
| MODEL_RMAG_N | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in BASS r-band filter with no extinction |
| MODEL_RMAG_S_REDDENED | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in DECam r-band filter with extinction assuming SFD98 |
| MODEL_RMAG_S | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in DECam r-band filter with no extinction |
| MODEL_IMAG_S_REDDENED | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in DECam i-band filter with extinction assuming SFD98 |
| MODEL_IMAG_S | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in DECam i-band filter with no extinction |
| MODEL_ZMAG_N_REDDENED | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in MzLS z-band filter with extinction assuming SFD98 |
| MODEL_ZMAG_N | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in MzLS z-band filter with no extinction |
| MODEL_ZMAG_S_REDDENED | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in DECam z-band filter with extinction assuming SFD98 |
| MODEL_ZMAG_S | float64 | mag | RVSpecfit model magnitude (with arbitrary absolute zero point) derived from the SPECMOD spectrum in DECam z-band filter with no extinction |
| EGR | float64 | mag | Reddening in DECam g-r color |
| EGR_ERR | float64 | mag | Reddening error in DECam g-r color |
| ERZ | float64 | mag | Reddening in DECam r-z color |
| ERZ_ERR | float64 | mag | Reddening error in DECam r-z color |
Contact¶
Contact Rongpu Zhou for questions about this catalog.