corgidrp: CoronaGraph Instrument Data Reduction Pipeline#
The CoronaGraph Instrument Data Reduction Pipeline corgidrp is a Python-based data processing pipeline designed for the Nancy Grace Roman Space Telescope Coronagraph Instrument. This pipeline handles the reduction and processing of data in 4 levels, implementing various calibration and processing steps essential for coronagraphic observations.
Table of Contents
- Installation Guide
- Tutorials
- Data Formats
- L2a Data Product
- L2b-Analog Data Product
- L2b-PhotonCounting Data Product
- L3 Data Product
- L3 Polarimetry Analog Data Product
- L3 Spectroscopy Analog Data Product
- L4-Coronagraphic Data Product
- L4-Noncoron Data Product
- L4 Data Product
- L4-Spec-Coronagraphic Data Product
- L4-Spec-Noncoron Data Product
- AstrometricCalibration Data Product
- BadPixelMap Data Product
- CoreThroughputCalibration Data Product
- CoreThroughputMap Data Product
- Dark Data Product
- DispersionModel Data Product
- FlatField Data Product
- PolFlatField Data Product
- FluxcalFactor Data Product
- FluxcalFactor Data Product
- Spectroscopy Flux Calibration Data Product
- KGain Data Product
- LineSpread Data Product
- MuellerMatrix Data Product
- NDFilterSweetSpotDataset Data Product
- NDMuellerMatrix Data Product
- DetectorNoiseMaps Data Product
- NonLinearityCalibration Data Product
- TrapCalibration Data Product
- API Reference