.. include:: ../../wlsubstitutions.rst
.. _twoDMassParams2DConvergenceClusters:

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

Data product name
=================
.. DataProductNameStart

twoDMassParams2DConvergenceClusters

.. DataProductNameEnd

Data product custodian
======================
.. DataProductCustodianStart

2D-MASS-WL

.. DataProductCustodianEnd

Data model tag
==============
.. DataModelTagStart

|ML2A2BF|

.. DataModelTagEnd

Name of the Schema file
=======================
.. NameSchemaStart

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

.. NameSchemaEnd

Schema documentation tag
========================
.. SchemaDocTagStart

:emphasis:`Data product documentation:`

Data Product for twoDMassParams2DConvergenceClusters.

:emphasis:`Documentation for data product element dpdTwoDMassParamsConvergenceClusters:`

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

:emphasis:`Documentation for data product element Header:`

The generic header of the product

:emphasis:`Documentation for data product element Data:`

The data of the product


.. SchemaDocTagEnd

Data product elements
=====================
.. DataProductElementsStart

Header of type: sys:genericHeader

Data of type: wl2dmass:twoDMassParamsConvergenceClusters

QualityFlags of type: dqc:sqfPlaceHolder

Parameters of type: ppr:genericKeyValueParameters


.. DataProductElementsEnd

Processing Element(s) creating/using the data product
=====================================================
.. PECreatorStart

2D-MASS-WL

.. PECreatorEnd

Processing function using the data product
==========================================
.. PFUsingStart

LE3

.. PFUsingEnd

Detailed description of the data product
========================================
.. DetailedDescStart

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]

.. DetailedDescEnd