.. include:: ../../idsubstitutions.txt
.. _DpdLE3IDVMSPConfiguration:

VMSP Configuration
------------------

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

DpdLE3IDVMSPConfiguration

.. DataProductNameEnd

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

VMSP-ID

.. DataProductCustodianEnd

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

|ML2B|

.. DataModelTagEnd

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

euc-test-le3-id-vmsp-config.xsd

.. NameSchemaEnd

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

|ML2B|

.. SchemaDocTagEnd

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

* **RandomSize** *float* - Determines the size of the output random catalog defined as the ratio of the sum of weights in the random catalog to the galaxy count in the input data catalog.
* **SamplingMethod** *str* - Specifies the sampling algorithm, choice of ``GMM`` or ``SHUFFLE``.
* **N_Components** *int* - Number of Gaussian components to fit the galaxy distribution (for ``GMM`` sampling method)
* **BatchSize** *int* - Batch size used to split a large catalog for fitting the GMM
* **FidelityDOF** *float* - Parameter that tunes the fidelity function mapping signal-to-noise to detection probability
* **MeasurementThreshold** *float* - Threshold in line SNR^2 to run the SNR measurement routine
* **MinimumWeight** *float* - Minimum weight to keep in the random catalog. Randoms with weight less than this value will be discarded


.. DataProductElementsEnd

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

VMSP-ID

.. PECreatorEnd

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

VMSP-ID

.. PFUsingEnd

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

This input product is a collection of input parameters for the processing elements
``VMSP_Train`` and ``VMSP_Sample``.


.. DetailedDescEnd