Shear KSB Training¶
Data product name¶
sheKsbTraining
Data product custodian¶
SHE
Data model tag¶
8.0
Name of the Schema file¶
ST_DM_Schema/dictionary/pro/she/euc-test-she.xsd
Schema documentation tag¶
Documentation for data product element sheKsbTraining:
This product contains the required training data for the KSB shear estimation method.
Documentation for data product element Header:
The generic header of the product.
Data product elements¶
Base class: cat:baseCatalog
ValidityRange (ins:calibrationValidPeriod)
DataStorage (sheKsbTrainingFile)
DataContainer (dss:dataContainer)
Processing Element(s) creating/using the data product¶
SHE
Processing function using the data product¶
SHE
Detailed description of the data product¶
An XML data product containing training data for the KSB shear measurement algorithm. This algorithm requires priors on the unlensed shapes of galaxies in order to properly estimate errors, and so the training data is generated by running the KSB algorithm on a reference set of images with minimal (or no) noise. The resulting shape measurements are stored as the training data in a fits table with the following columns:
Parameter name |
Fits Data type |
Brief description |
|---|---|---|
OBJECT_ID |
K |
ID of the galaxy in the reference |
SHE_KSB_TRAINING_E1 |
E |
Measurement of first component of ellipticity |
SHE_KSB_TRAINING_E2 |
E |
Measurement of second component of ellipticity |
SHE_KSB_TRAINING_E1_ERR |
E |
Error on measurement of first component of ellipticity |
SHE_KSB_TRAINING_E2_ERR |
E |
Error on measurement of second component of ellipticity |
The distinction we use betwee “Training” and “Calibration” data is that Training data is data which can be obtained prior to any observations from Euclid (e.g. from Euclidized HST images), while Calibration data is obtained and updated throughout the Euclid mission.