Input Product: Spherical E/B Convergence Maps Parameters

Data Product Name

DpdTwoDMassParamsConvergenceSphere

Data Product Custodian

WLTWODMASS

Name of the Schema File

euc-le3-wl-twodmass-ParamsConvergenceSphere.xsd

Last edited for DPDD version

1.1

Processing Elements Creating / Updating / Using the 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:twoDMassParamsConvergenceSphere

QualityFlags:

object of type dqc:sqfPlaceHolder

Parameters:

object of type ppr:genericKeyValueParameters

Detailed Description of the Data Product

This product contains inputs to compute the 2D convergence maps on the sphere.

Running Parameters

To compute the spherical E/B convergence maps, the following set of parameters is needed:

• how to handle reduced shear:

  • NItReducedShear: the number of iterations used to compute the reduced shear [int]

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

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

  • ThresholdFDR: the False Discovery Rate (FDR) threshold if applied [optional, double]

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

  • DenoisingAlgo: Name of denoising algo [string]

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

  • ThresholdFDR: the False Discovery Rate (FDR) threshold if applied [optional, double]

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

• how to handle the pixelization:

  • Nside: HEALPix nside of the final map [int]

• how to handle redshift:

  • ZMin: min redshifts for the patches considered [double]

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

  • Nbins: the number of redshift bins [int]

  • BalancedBins: if bins are balanced or not (in terms of number of galaxies) [bool]

• how to handle gaps in data:

  • NInpaint: number of inpainting iterations [int]

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

  • ForceBMode: Flag to force B Modes to 0 in the gaps [bool]

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