Output Product: Covariance of Tomographic Cosmic Shear COSEBI

Metadata

Data product name

DpdCovarTwoPCFWLCOSEBIShearShear2D

Data product custodian

WLCMTWOPCF

Name of the Schema file

euc-le3-wl-cmtwopcf-COSEBIShearShear2D.xsd

Last Edited for DPDD Version

1.1

Processing Element(s) creating/using the data product

Creators:

  • LE3_CM_2PCF_WL_ShearShear_Pipeline

Consumers:

  • SWG

Processing function using the data product

SGS pipeline output product to be used by LE3 and SWGs

Proposed for inclusion in EAS/SAS

This product is proposed for inclusion in the SAS: Yes

The covariance matrix gives the error estimates of the shear-shear real-space second-order statistics EE, BB.EB functions.

Data Product Elements

Header

object of type sys:genericHeader

Data

object of type wlcm2pcf:covarTwoPCFWLCOSEBIShearShear2D

QualityFlags

object of type dqc:sqfPlaceHolder

Parameters

object of type ppr:genericKeyValueParameters

Detailed Description of the Data Product

This product contains the covariance matrix for cosmic shear COSEBI modes.

This output product is a fits binary table containing important input parameters as keywords in primary HDU, and a binary table in the next HDU with the covariance for cosmic shear COSEBI modes, as described in

  • SpatialCoverage a description of the spatial footprint [optional, cot:spatialFootprint],

  • CatalogSelection: describing the selection in the input catalogues [optional, up to 4 elements]

    • CatalogFileName: the name of the input catalogue [sys:dataFileName]

    • Selection: selection associated to catalogue [string]

    • CatalogUse: for which use case the catalog is employed (=[“ShearShear”]) [string among “PosPos”, “PosShear”, “ShearShear”]

    • CatalogInfo: whether position or shear information is used in this catalogue (=[“Shear”]) [string among “Pos”, “Shear”]

    • CatalogOrder: order associated to catalogue for reporting (e.g. BIN_ID1)[int32]

Keywords

This fits table is expected to contain the following keywords in primary HDU, characterizing the important parameters of the product:

HDU PRIMARY: header

Name

Description

Value

Keywords

SIMPLE

logical

BITPIX

integer

NAXIS

integer

EXTEND

logical

RS_EST

Estimator for resampling

string

RS_STR

Type of resampling

string

THMIN

Min of angular range

double

THMAX

Max of angular range

double

OATH

Open Angle threshold

double

THUNIT

Unit of theta

string

BINSCALE

lin or log bins

string

COORDSYS

cartesian or spherical

string

NMODES

number of COSEBI modes

integer

NBINS

Number of angular bins

integer

NCOMBS

Number of bin combination

integer

INX_COMB

Inner index of the combination {1 or 2}

integer

SHE_SOFT

Where the input catalogue is coming from (if SHE catalogue used)

string

SHE_SEL

ID of selection made (e.g. tomographic redshifts, stellar mass)

string

SOFTNAME

string

SOFTVERS

string

BLINDING

Flag that identifies products that have been blinded for scientific analysis

string

Covariance table

The table (first HDU, EXTNAME=”RS_COVAR_COSEBI_SHEARSHEAR2D”) will contain the following columns:

Catalog: 10 columns table

Name

Description

Unit

Format

MODE1

Full estimate of covariance matrix COSEBI mode first component

NA

FITS I

MODE2

COSEBI mode second component

NA

FITS I

BIN_COMB1

Redshift combination for first correl

NA

FITS J

BIN_COMB2

Redshift combination for second correl

NA

FITS J

EE_EE

covariance EE/EE among resamples

NA

FITS D

BB_BB

covariance BB/BB among resamples

NA

FITS D

EB_EB

covariance EB/EB among resamples

NA

FITS D

EE_BB

covariance EE/BB among resamples

NA

FITS D

EE_EB

covariance EE/EB among resamples

NA

FITS D

BB_EB

covariance BB/EB among resamples

NA

FITS D

Note

Under discussion is the possibility in the future of having as first HDU an estimate for Shot Noise :

  1. MODE1: first COSEBI mode [I, int16]

  2. MODE2: second COSEBI mode [I, int16]

  3. BIN_COMB1: first index for combination of redshift bins [J, int32]

  4. BIN_COMB2: second index for combination of redshift bins [J, int32]

  5. EE_EE_SH: covariance between E COSEBI (shape noise) [D, float64]

  6. BB_BB_SH: covariance between B COSEBI (shape noise) [D, float64]

  7. EB_EB_SH: covariance between EB cross COSEBI (shape noise) [D, float64]

  8. EE_BB_SH: covariance between E and B COSEBI (shape noise) [D, float64]

  9. EE_EB_SH: covariance between E and EB COSEBI (shape noise) [D, float64]

  10. BB_EB_SH: covariance between B and EB COSEBI (shape noise) [D, float64]