[to complete] NIR Large Scale Flat (LargeFlat)¶
Metadata¶
Data product name |
DpdNirLargeFlatFrame |
Data product custodian |
NIR |
Name of the Schema file |
|
Processing Element(s) creating/using the data product |
The LargeFlat is created by the NIR_SelfCalib_Pipeline pipeline. This pipeline compare source fluxes extracted in dedicated Self Calibration Field observations to derive large scale pixel flux variations together with detector by detector offset tracked by the [to complete] NIR Relative Photometric Calibration factors among Detectors Data Product. The task responsible for the LargeFlat creation is NIR_Compute (under NIR_SelfCalib project). |
Processing function using the data product |
This is an internal NIR data product, and it is used only by the NIR PF. It is applied by the NIR_Apply task (under NIR_SelfCalib project) inside the NIR_ProcessField_Pipeline. |
Data Product structure description¶
The main elements inside the “Data” section are:
Filter: The filter name (e.g. NIR_Y, NIR_J, NIR_H)
ValidityRange: Calibration file validity period estimated
DataStorage: Element that links to a FITS file containing the LargeFlat FITS file
- QualityParams (optional): List of Detector Data Quality Parameters
Min: Minimum image pixel value
Max: Maximum image pixel value
Mean: Average image level (mean of all image pixel values)
Median: Median image level (median of all image pixel values)
StDev: Sample standard deviation of the image pixel values
MaskedPixelFraction: The fraction of masked pixels
FITS file description¶
The structure of the NIR LargeFlat is the same as the Science Image of the NIR Calibrated Frame with 16 x 3 layers, i.e. containing median large field correction, RMS, and Data Quality flags for each detector.
Primary header¶
The primary header contains keywords to identify FITS data type.