Output Product: MOC Footprint Mask¶
Data product name¶
VMPZIDMOCFootprintMask
Data product custodian¶
VMPZ-ID
Data model tag¶
(TBF for ML2A)
Name of the Schema file¶
(TBF for ML2A)
Schema documentation tag¶
(TBF for ML2A)
Data product elements¶
(TBF for ML2A)
Processing Element(s) creating/using the data product¶
VMPZ-ID, (CM-)PK-WL
Processing function using the data product¶
LE3
Detailed description of the data product¶
This output product is essentially the footprint of the survey for a given band/instrument. The FootprintMaskMOC metadata includes a container with a FITS file (of type le3.id.vmpz.mocfootprintmask) describing the footprint for the survey in MOC HEALPix format, for a given observed band/instrument (Euclid/EXT), and a raw description with polygons of the envelope of the sky covered is added as well to ease future queries on the product (SpatialCoverage metadata, see spatialFootprint). Finally, the mask parameters FootprintMaskMOCParams can optionally be associated to the product.
Keywords (Primary HDU)¶
The primary HDU is expected to contain the following keywords, characterizing important parameters of the input product:
DATE-OBS: start of observation with format ‘yyyy-mm-ddThh:mm:ss.sss’ [StringKeyword]
DATE-END: end of observation with format ‘yyyy-mm-ddThh:mm:ss.sss’ [StringKeyword]
TELESCOP: name of the telescope [StringKeyword]
INSTRUME: name of the instrument [StringKeyword]
FILTER: name of the filter [StringKeyword]
FILTLST: selection of filter if intersection of multiple footprints [StringKeyword]
TILEID: identifier of the MER Tile processed (-1 if multiple Tiles) [IntegerKeyword]
LISTID: identifier of a MER list of tiles product (-1 if single Tile) [StringKeyword]
NSIDE_WK: Nside parameter used for frame->HEALPix [StringKeyword]
and basic software parameters:
SOFTNAME: name of software used [StringKeyword]
SOFTVERS: version of software used [StringKeyword]
Partial MOC Footprint Table (First Extension, Binary Table)¶
The following keywords are used to describe what MOC conventions are followed:
TTYPE1 (= ‘UNIQ’) [StringKeyword]
TFORM1 (= ‘K’) [StringKeyword]
TTYPE2 (= ‘WEIGHT’) [StringKeyword]
TFORM2 (= ‘E’) [StringKeyword]
PIXTYPE (= ‘HEALPIX’) [StringKeyword]
ORDERING (= ‘NUNIQ’) [StringKeyword]
COORDSYS (= ‘C’=celestial, ‘E’=ecliptic or ‘G’=galactic) [StringKeyword]
MOCORDER (best HEALPix order) [IntegerKeyword]
MOCTYPE [StringKeyword]
DATE [StringKeyword]
EXTNAME (= ‘FOOTPRINT_MASK’) [StringKeyword]
The table is then expected to contain the following columns:
UNIQ: index of pixel [K, int64]
WEIGHT: weight associated to pixel in [0,1] indicating the fraction of the pixel actually covered by the footprint (1: not observed regions) [E, float32]