TILEID-gfa.fits
- Summary:
This file contains the stars for the ETC / GUIDE / FOCUS covered by the tile disk-footprint.
- Naming Convention:
{TILEID}-gfa.fits
, where{TILEID}
is the zero-padded, 6-digit TILED.- Regex:
[0-9]{6}-gfa\.fits
- File Type:
FITS, 6 MB
Contents
Number |
EXTNAME |
Type |
Contents |
---|---|---|---|
IMAGE |
Empty HDU |
||
TARGETS |
BINTABLE |
Stars for the ETC / GUIDE / FOCUS covered by the tile disk-footprint. |
FITS Header Units
HDU0
This HDU has no non-standard required keywords.
Empty HDU.
HDU1
EXTNAME = TARGETS
Stars for the ETC / GUIDE / FOCUS covered by the tile disk-footprint: those are read from the desitarget catalogs and provided as input to fiberassign.
Required Header Keywords
Required Header Keywords Table
KEY |
Example Value |
Type |
Comment |
---|---|---|---|
NAXIS1 |
164 |
int |
width of table in bytes |
NAXIS2 |
43904 |
int |
number of rows in table |
SURVEY |
main |
str |
|
RESOLVE |
T |
bool |
|
MASKBITS |
T |
bool |
|
BACKUP |
F |
bool |
|
NOSEC |
F |
bool |
|
DR |
9 |
int |
Required Data Table Columns
Name |
Type |
Units |
Description |
---|---|---|---|
RELEASE |
int32 |
Imaging surveys release ID |
|
TARGETID |
int64 |
Unique DESI target ID |
|
BRICKID |
int32 |
Brick ID from tractor input |
|
BRICK_OBJID |
int32 |
Imaging Surveys OBJID on that brick |
|
RA |
float64 |
deg |
Barycentric Right Ascension in ICRS |
DEC |
float64 |
deg |
Barycentric declination in ICRS |
RA_IVAR |
float32 |
deg^-2 |
Inverse variance of RA (no cosine term!), excluding astrometric calibration errors |
DEC_IVAR |
float32 |
deg^-2 |
Inverse variance of DEC, excluding astrometric calibration errors |
MORPHTYPE |
char[4] |
Imaging Surveys morphological type from Tractor |
|
MASKBITS |
int16 |
Bitwise mask from the imaging indicating potential issue or blending |
|
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) |
REF_ID |
int64 |
Tyc1*1,000,000+Tyc2*10+Tyc3 for Tycho-2; |
|
REF_CAT |
char[2] |
Reference catalog source for star: ‘T2’ for Tycho-2, ‘G2’ for Gaia DR2, ‘L2’ for the SGA, empty otherwise |
|
REF_EPOCH |
float32 |
yr |
Reference epoch for Gaia/Tycho astrometry. Typically 2015.5 for Gaia |
PARALLAX |
float32 |
mas |
Reference catalog parallax |
PARALLAX_IVAR |
float32 |
mas^-2 |
Inverse variance of PARALLAX |
PMRA |
float32 |
mas / yr |
proper motion in the +RA direction (already including cos(dec)) |
PMDEC |
float32 |
mas / yr |
Proper motion in the +Dec direction |
PMRA_IVAR |
float32 |
yr^2 / mas^2 |
Inverse variance of PMRA |
PMDEC_IVAR |
float32 |
yr^2 / mas^2 |
Inverse variance of PMDEC |
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_ASTROMETRIC_EXCESS_NOISE |
float32 |
Gaia astrometric excess noise |
|
URAT_ID |
int64 |
ID in the URAT catalog for sources where URAT supplemented missing Gaia astrometric information |
|
URAT_SEP |
float32 |
arcsec |
Separation between URAT and Gaia sources where URAT supplemented missing Gaia astrometric information |
GAIA_PHOT_G_N_OBS |
int32 |
Gaia G band number of observations |
|
HPXPIXEL |
int64 |
HEALPixel containing this location at NSIDE=64 in the NESTED scheme |
Notes and Examples
Some units in this file do not conform to the FITS standard:
deg^-2 is incorrectly recorded as 1/deg^2
nanomaggy^-2 is incorrectly recorded as 1/nanomaggy^2
mas^-2 is incorrectly recorded as 1/mas^2
Such issues can typically be fixed by parsing the unit through astropy after reading in a Table, e.g.:
import astropy.units as u
from astropy.table import Table
objs = Table.read(filename, 1)
u.Unit(str(objs["RA_IVAR"].unit))