Input Product: Patch-Based E/B Convergence Maps Parameters¶
Data Product Name¶
DpdTwoDMassParamsConvergencePatch
Data Product Custodian¶
WLTWODMASS
Name of the Schema File¶
euc-le3-wl-twodmass-ParamsConvergencePatch.xsdProcessing 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:twoDMassParamsConvergencePatch
- 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 for one or several patches.
To compute the E/B convergence maps using projection on a single patch/multiple patches, 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 handle the projection:
Project: what type of projection [stc:projection]
NPatches: the number of patches in the list [int]
and a PatchList list containing as elements:
ProjCtr: position of the centres of the patches considered [stc:sphericalCoordinate]
PatchWidth: size of the patches [double]
PixelSize: physical size of the pixel [double]
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]
AddBorder: if an extra border is taken into account [bool]