Output Product: Spherical E/B Convergence Maps

Data Product Name

DpdTwoDMassConvergenceSphere

Data Product Custodian

WLTWODMASS

Name of the Schema File

euc-le3-wl-twodmass-ConvergenceSphere.xsd

Last edited for DPDD version

1.1

Processing Elements Creating / Updating / Using the Product

Creators:

  • LE3_2D_MASS_WL_KS

Consumers:

  • None

Processing function using the data product

Science Working Group

Proposed for inclusion in EAS/SAS

This product is proposed for inclusion in the SAS: Yes

This product is an internal product of SGS.

Data Product Elements

Header:

object of type sys:genericHeader

Data:

object of type wl2dmass:twoDMassCollectConvergenceSphere

QualityFlags:

object of type dqc:sqfPlaceHolder

Parameters:

object of type ppr:genericKeyValueParameters

Detailed Description of the Data Product

This product contains 2D “wide-field” convergence maps (denoised and/or noisy), and/or SNR map, galaxy count and Monte-Carlo realizations computed on the sphere.

This output product contains four optional FITS structures:

  • a noisy convergence map as a FITS data array (one HDU per redshift bin) containing the E/B convergence HEALPix maps. Important input parameters are stored as keywords, in particular, the DENTYPE keyword indicates that the data has not been denoised [NoisyConvergence XML tag]

  • a denoised convergence map as a FITs data array (one HDU per redshift bin) containing the HEALPix denoised E/B convergence maps. Important input parameters are stored as keywords, in particular, the DENTYPE keyword indicates that the data has been denoised [DenoisedConvergence XML tag]

  • several Monte-Carlo maps as multiple FITS data arrays (one FITS per realization) containing the HEALPix E/B convergence maps for a realization (one HDU per redshift bin), of same format as the previous ones [MonteCarloMap XML tag]

  • a galaxy-count map as a FITS data array (one HDU per redshift bin) containing the number of galaxies per pixel [GalCount XML tag]

  • a “NResamples” field to specify the number of samples that were used to compute the SNR maps [int]

  • a SNR map as a FITS data array (one HDU per redshift bin) containing the E/B SNR HEALPix maps [SNRMaps XML tag]

  • an associated spatial footprint (see spatialFootprint here) [cot:spatialFootprint].

All products have same primary array, described as follows, characterizing the important parameters of the product, such as the coordinate system:

  1. RADESYS: Coordinate system (e.g. ‘FK5’) [string]

  2. EQUINOX: equinox of celestial coordinate system (e.g. 2000) [string]

  3. DATE-OBS: start of observation with format ‘yyyy-mm-ddThh:mm:ss.sss’ [string]

  4. DATE-END: end of observation with format ‘yyyy-mm-ddThh:mm:ss.sss’ [string]

    and basic software parameters:

  5. SHE_SOFT: which SHE catalogue used [StringKeyword]

  6. SOFTNAME: software used to create the product [string]

  7. SOFTVERS: version of software [string]

  8. NITREDSH: number of iteration to compute reduced shear [int]

  9. STDREDSH: standard deviation for Gaussian smoothing performed to compute the reduced shear (0 if no Gaussian smoothing) [double]

  10. FDRREDSH: false discovery rate threshold used to compute the reduced shear [double]

  11. NITINP: number of iteration for inpainting (0 if no inpainting) [int]

  12. NSCINP: number of scale for inpainting (0 if no inpainting) [int]

  13. VARPERSC: flag specifying if equal variance in/out masked area per scale [bool]

  14. FBMODE: flag specifying if B-Mode forced to 0 in the gaps [bool]

  15. DENTYPE: denoising type (e.g. Gaussian, None, name of third party software) [string]

  16. GAUSSSTD: standard deviation for Gaussian smoothing (0 if no Gaussian smoothing) [double]

  17. FDRVAL: false discovery rate threshold [double]

  18. NZBINS: number of redshift bins [int]

  19. BAL_BINS: Balanced redshift bins or not [bool]

  20. MCSEED: Noise MC seed (None if no MC realization) [string]

  21. MCREAL: number associated to the MC realization of the convergence map (None if no MC realization) [int]

  22. NRESAMPL: number of resampling of input catalog [int]

They however differ in the information stored in the next HDUs.

Noisy or denoised convergence maps/Monte Carlo realizations

For the array in HDU (HDU= 1..N, one per redshift bin), the following keywords are specified for each hdu, starting with required HEALPix keywords (see https://healpix.sourceforge.io/data/examples/healpix_fits_specs.pdf):

  1. PIXTYPE =’HEALPIX’ [string]

  2. ORDERING: ‘RING’ or ‘NESTED’ [string]

  3. NSIDE: resolution parameter [int]

  4. FIRSTPIX: lowest index in maps [int]

  5. LASTPIX: highest index in Maps [int]

  6. INDEXSCHM: ‘IMPLICIT’ or ‘EXPLICIT’ [string]

  7. OBJECT: ‘FULLSKY’ [string]

and redshift parameters:

  1. ZMIN: minimum of the redshift bin [double]

  2. ZMAX: maximum of the redshift bin [double]

  3. EXTNAME = “KAPPA_SPHERE”

For each redshift bin (1 hdu per redshift bin), the E/B modes are stored in a 2d binary table with two vector columns (KAPPA_E, KAPPA_B)s.

Galaxy-count maps

For the array in a HDU (HDU= 1..N, one per redshift bin), the following keywords are specified, starting with required HEALPix keywords (see https://healpix.sourceforge.io/data/examples/healpix_fits_specs.pdf):

  1. PIXTYPE =’HEALPIX’ [string]

  2. ORDERING: ‘RING’ or ‘NESTED’ [string]

  3. NSIDE: resolution parameter [int]

  4. FIRSTPIX: lowest index in maps [int]

  5. LASTPIX: highest index in Maps [int]

  6. INDEXSCHM: ‘IMPLICIT’ or ‘EXPLICIT’ [string]

  7. OBJECT: ‘FULLSKY’ [string]

and redshift parameters:

  1. ZMIN: minimum of the redshift bin [double]

  2. ZMAX: maximum of the redshift bin [double]

  3. EXTNAME = “GALCOUNT_SPHERE”

According to HEALPix convention, for each redshift bin, a GALCOUNT column will contain the number of Galaxies measured per pixel on the sphere and redshift bin considered, which can also be used to identify the area inpainted (pixel without measured galaxies).

SNR maps

For the array in HDU (HDU= 1..N, one per redshift bin), the following keywords are specified for each hdu, starting with required HEALPix keywords (see https://healpix.sourceforge.io/data/examples/healpix_fits_specs.pdf):

  1. PIXTYPE =’HEALPIX’ [string]

  2. ORDERING: ‘RING’ or ‘NESTED’ [string]

  3. NSIDE: resolution parameter [int]

  4. FIRSTPIX: lowest index in maps [int]

  5. LASTPIX: highest index in Maps [int]

  6. INDEXSCHM: ‘IMPLICIT’ or ‘EXPLICIT’ [string]

  7. OBJECT: ‘FULLSKY’ [string]

and redshift parameters:

  1. ZMIN: minimum of the redshift bin [double]

  2. ZMAX: maximum of the redshift bin [double]

  3. EXTNAME = “SNR_SPHERE”

According to HEALPix convention, for each redshift bin (1 hdu per redshift bin), the maps are stored in a 2d binary table with two vector columns (SNR_E, SNR_B), associated to the E/B SNR maps.