DATA full LSS catalogs with PIP weights

Summary:

LSS catalogs containing information on all targets identified as reachable by DESI fiberassign, with one entry for each. The files are split by target type and whether of not vetos for angular positions and healpix maps have been applied

Naming Convention:

{TARGET}_full{VETO}.dat.fits, where {TARGET} is the target type: QSO, ELG_LOPnotqso, LRG, for dark or BGS_ANY, BGS_BRIGHT for bright. {VETO} is _noveto if vetos have not been applied, blank if vetos have been applied and _HPmapcut if both vetos and healpix map cuts have been applied.

Regex:

[a-zA-Z_]+\_full[a-z_]{0,7,9}.dat.fits

File Type:

FITS, 11 GB

Contents

Number	EXTNAME	Type	Contents
HDU0		IMAGE	Empty
HDU1	LSS	BINTABLE	Catalog data

FITS Header Units

HDU0

This HDU has no non-standard required keywords.

Empty HDU.

HDU1

EXTNAME = LSS

Catalog data for the given target type; one entry per unique TARGETID with PIP weights

Required Header Keywords

Required Header Keywords Table

KEY	Example Value	Type	Comment
NAXIS1	838	int	length of dimension 1
NAXIS2	15327895	int	length of dimension 2
DESIDR	dr1	str	DESI Data Release

Required Data Table Columns

Name	Type	Units	Description
TARGETID	int64		Unique DESI target ID
MWS_TARGET	int64		Milky Way Survey targeting bits
SUBPRIORITY	float64		Random subpriority [0-1) to break assignment ties
PRIORITY_INIT	int64		Target initial priority from target selection bitmasks and OBSCONDITIONS
TARGET_STATE	char[30]		Combination of target class and its current observational state
TIMESTAMP	char[25]	s	UTC/ISO time at which the target state was updated
LOCATION	int64		Location on the focal plane PETAL_LOC*1000 + DEVICE_LOC
TILEID	int64		Unique DESI tile ID
TILELOCID	int64		Is 10000*TILEID+LOCATION
LASTNIGHT	int32		Final night of observation included in a series of coadds
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
COEFF	float64[10]		Redrock template coefficients
NPIXELS	int64		Number of unmasked pixels contributing to the Redrock fit
SPECTYPE	char[6]		Spectral type of Redrock best fit template (e.g. GALAXY, QSO, STAR)
SUBTYPE	char[20]		Spectral subtype
NCOEFF	int64		Number of Redrock template coefficients
DELTACHI2	float64		chi2 difference between first- and second-best redrock template fits
FIBER	int32		Fiber ID on the CCDs [0-4999]
COADD_FIBERSTATUS	int32		bitwise-AND of input FIBERSTATUS
FIBERASSIGN_X	float32	mm	Fiberassign expected CS5 X location on focal plane
FIBERASSIGN_Y	float32	mm	Fiberassign expected CS5 Y location on focal plane
PRIORITY	int32		Target current priority
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
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_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_ELG_B	float32		ELG B template (S/N)^2
TSNR2_LYA_B	float32		LYA B template (S/N)^2
TSNR2_BGS_B	float32		BGS B template (S/N)^2
TSNR2_QSO_B	float32		QSO B template (S/N)^2
TSNR2_LRG_B	float32		LRG B template (S/N)^2
TSNR2_ELG_R	float32		ELG R template (S/N)^2
TSNR2_LYA_R	float32		LYA R template (S/N)^2
TSNR2_BGS_R	float32		BGS R template (S/N)^2
TSNR2_QSO_R	float32		QSO R template (S/N)^2
TSNR2_LRG_R	float32		LRG R template (S/N)^2
TSNR2_ELG_Z	float32		ELG Z template (S/N)^2
TSNR2_LYA_Z	float32		LYA Z template (S/N)^2
TSNR2_BGS_Z	float32		BGS Z template (S/N)^2
TSNR2_QSO_Z	float32		QSO Z template (S/N)^2
TSNR2_LRG_Z	float32		LRG Z template (S/N)^2
TSNR2_ELG	float32		ELG template (S/N)^2 summed over B,R,Z
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_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
ZWARN_MTL	int64		The ZWARN from the zmtl file (contains extra bits)
Z_QN	float64		Redshift measured by QuasarNET using line with highest confidence
Z_QN_CONF	float64		Redshift confidence from QuasarNET
IS_QSO_QN	int16		Spectroscopic classification from QuasarNET (1 for a quasar)
PRIORITY_ASSIGNED	int32		(only for data) PRIORITY of the target that was assigned to the given FIBER and TILEID (redundant with PRIORITY in the random catalogs)
GOODPRI	logical		True/False whether the priority of what was assigned to the location was <= the base priority of the given target class
GOODHARDLOC	logical		True/False whether the fiber had good hardware
LOCATION_ASSIGNED	logical		True/False for assigned/unassigned for the target in question
TILELOCID_ASSIGNED	logical		0/1 for unassigned/assigned for TILELOCID in question (it could have been assigned to a different target)
GOODTSNR	logical		True/False whether the TSNR (class) value used was above the minimum threshold for the given target class
NTILE	int64		Number of tiles target was available on
TILES	char[36]		TILEIDs of those tile, in string form separated by -
TILELOCIDS	char[111]		TILELOCIDs that the target was available for, separated by -
BRICKID	int32		Brick ID from tractor input
BRICKNAME	char[8]		Brick name from tractor input
MORPHTYPE	char[4]		Imaging Surveys morphological type from Tractor
RA	float64	deg	Barycentric Right Ascension in ICRS
DEC	float64	deg	Barycentric declination in ICRS
DCHISQ	float32[5]		Difference in chi-squared between Tractor model fits
EBV	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_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)
MW_TRANSMISSION_G	float32		Milky Way dust transmission in LS g-band
MW_TRANSMISSION_R	float32		Milky Way dust transmission in LS r-band
MW_TRANSMISSION_Z	float32		Milky Way dust transmission in LS z-band
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
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
FLUX_W1	float32	nanomaggy	WISE flux in W1 (AB)
FLUX_W2	float32	nanomaggy	WISE flux in W2 (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)
MW_TRANSMISSION_W1	float32		Milky Way dust transmission in WISE W1
MW_TRANSMISSION_W2	float32		Milky Way dust transmission in WISE W2
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
WISEMASK_W1	binary		Bitwise mask for WISE W1 data
WISEMASK_W2	binary		Bitwise mask for WISE W2 data
MASKBITS	int16		Bitwise mask from the imaging indicating potential issue or blending
SHAPE_R	float32	arcsec	Half-light radius of galaxy model (greater than 0)
PHOTSYS	char[1]		N for the MzLS/BASS photometric system, S for DECaLS
DESI_TARGET	int64		DESI (dark time program) target selection bitmask
BGS_TARGET	int64		BGS (Bright Galaxy Survey) target selection bitmask
OII_FLUX [1]	float32	10**-17 erg/(s cm2)	Fitted flux for the [OII] doublet
OII_FLUX_IVAR [1]	float32	10**+34 (s2 cm4) / erg2	Inverse variance of the fitted flux for the [OII] doublet
o2c [1]	float64	10**+34 (s2 cm4) / erg2	(lower or uppercase) The criteria for assessing strength of OII emission for ELG observations
Z_RR [1]	float64		Redshift collected from redrock file
lrg_mask [1]	binary		(lower or upper case) Imaging mask bits relevant to LRG targets
ABSMAG01_SDSS_G [1]	float32	mag	g-corrected (to z=0.1) absolute magnitude in the SDSS g band from fastspecfit
ABSMAG01_SDSS_R [1]	float32	mag	r-corrected (to z=0.1) absolute magnitude in the SDSS r band from fastspecfit
WEIGHT_IMLIN [1]	float64		Imaging systematics weights derived with the eBOSS linear regression method
WEIGHT_FKP [1]	float64		1/(1+NZ*P0), with P0 different for each tracer
WEIGHT_RF [1]	float64		Imaging systematics weights derived with the regressis random forest regression method
WEIGHT_SN [1]	float64		Imaging systematics weights derived with the sysnet NN regression method
COMP_TILE	float64		Assignment completeness for all targets of this type with the same value for TILES
FRACZ_TILELOCID	float64		The fraction of targets of this type at this TILELOCID that received an observation (after forcing each target to a unique TILELOCID)
WEIGHT_ZFAIL	float64		Should be all 1 at this point for main survey
mod_success_rate	float64		Expected spectroscopic success rate given the target and observation properties
BITWEIGHTS	int64[2]		A size of two 64 bit masks that encodes which of the alternative assignment histories that the target was assigned in
PROB_OBS	float64		The number alternative assignment histories that the target was assigned in divided by 128

[1] (1,2,3,4,5,6,7,8,9,10,11)

Optional columns: OII_FLUX, OII_FLUX_IVAR, o2c only present in ELG samples. Z_RR only present in QSO samples. lrg_mask only present in LRG samples. ABSMAG01_SDSS_G,R only present in BGS samples. WEIGHT_IMLIN, WEIGHT_FKP, WEIGHT_RF, WEIGHT_SN are optionals

Notes and Examples

These catalogs are the same as those find under VERSION, but with PIP weights in the WEIGHT column, obtained through the AltMTL pipeline. They use the same observing conditions and systematic maps as the version wihout PIP weights. Healpix maps found in the other directory.