Input Product: Patch-Based E/B Convergence Maps Parameters for Clusters¶

Data product name¶

twoDMassParams2DConvergenceClusters

Data product custodian¶

2D-MASS-WL

Data model tag¶

(TBF for ML2A)

Name of the Schema file¶

euc-test-le3-wl-twodmass-ParamsConvergenceClusters.xsd

Schema documentation tag¶

Data product documentation:

Data Product for twoDMassParams2DConvergenceClusters.

Documentation for data product element dpdTwoDMassParamsConvergenceClusters:

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

Documentation for data product element Header:

The generic header of the product

Documentation for data product element Data:

The data of the product

Data product elements¶

Header of type: sys:genericHeader

Data of type: wl2dmass:twoDMassParamsConvergenceClusters

QualityFlags of type: dqc:sqfPlaceHolder

Parameters of type: ppr:genericKeyValueParameters

Processing Element(s) creating/using the data product¶

2D-MASS-WL

Processing function using the data product¶

LE3

Detailed description of the data product¶

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

how to handle reduced shear:
- NItReducedShear: the number of iterations used to compute the reduced shear [int]
- denoising parameters for reduced shear:
  - 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 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]
- 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: Maximal 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]
- 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]
- AddBorder: if an extra border is taken into account [bool]