Input Product: Parameters for E/B modes for clusters

Metadata

Data product name

DpdTwoDMassParamsConvergenceClusters

Data product custodian

WLTWODMASS

Name of the Schema file

euc-le3-wl-twodmass-ParamsConvergenceClusters.xsd

Last Edited for DPDD Version

1.1

Processing Element(s) creating/using the data product

Creators:

  • None: it is a parameter file to store inputs.

Consumers:

  • LE3_2D_MASS_WL_KS

Processing function using the data product

LE3_2D_MASS_WL_KS

Proposed for inclusion in EAS/SAS

This product is proposed for inclusion in the SAS: No.

Data Product Elements

Header

object of type sys:genericHeader

Data

object of type wl2dmass:twoDMassParamsConvergenceClusters

QualityFlags

object of type dqc:sqfPlaceHolder

Parameters

object of type ppr:genericKeyValueParameters

Detailed Description of the Data Product

This product contains input parameters to compute the 2D convergence maps for clusters studies.

To compute the E/B convergence maps associated to detected (and sufficiently massive clusters), the following set of parameters is needed:

  • general parameters:

    • NResamples: the number of resampling that needs to be performed for STD maps [int]

    • McSeed: the seed of the random number generator [int]

    • BinningStrategy: the strategy to perform redshift binning [equidist|equipop].

    • SgnE1: the sign to apply to the shear first component [1|-1]

    • SgnE2: the sign to apply to the shear second component [1|-1]

  • how to handle reduced shear:

    • ReducedShearCorrection: flag to compute the reduced shear [bool]

    • RSThreshold: threshold to perform hard-thresholding in the reduced shear iteration

    • GaussSTD: the standard deviation for the Gaussian filter [double]

  • denoising parameters for final map: if Gaussian smoothing is performed, the value of the

    • DenoisingAlgo: name of denoising algo [string, “GaussFilter”]

    • GaussSTD: the standard deviation for the Gaussian filter [double]

  • how to select from the cluster catalogue:

    • MassThreshold: the threshold in mass (or mass proxy) [double]

  • how to handle the projection,

    • Project: what type of projection [stc:projection, “TAN”|”None”]

    • PatchWidth: size of the patches [double]

    • PixelSize: physical size of pixel [double]

  • how to handle redshift:

    • ZMargin: redshift margin used to include only background galaxies [double]

    • ZMax: max redshifts for the patches considered [double]

    • ZMaxHalo: max redshift of the halo to be kept in the cluster catalog selection [double]

  • how to handle gaps in data:

    • NInpaint: number of inpainting iterations [int]

    • ApplyConstraints: true, if a constraint is applied to have equal variance in/out of the masked area per wavelet scale [bool]

    • NInpScale: number of wavelet scales for inpainting [int]

    • AddBorder: if an extra border is taken into account [bool]