mirar.pipelines.gmos package
Central location for all GMOS pipeline code.
Subpackages
Submodules
mirar.pipelines.gmos.blocks module
Script containing the various
BaseProcessor
lists which are used to build configurations for the
GMOSPipeline.
Note: this pipeline works on GMOS data that has already been processed by DRAGONS
mirar.pipelines.gmos.generator module
Module containing functions to generate astrometric/photometric calibration catalogs for GMOS images
- mirar.pipelines.gmos.generator.gmos_astrometric_catalog_generator(image: Image) Gaia2Mass[source]
Returns an astrometric catalog for GMOS, which is just a Gaia/2MASS one
- Parameters:
image – image to generate a catalog for
- Returns:
Gaia/2MASS catalog around image
- mirar.pipelines.gmos.generator.gmos_photometric_catalog_generator(image: Image) BaseCatalog[source]
Generate a photometric calibration catalog for SUMMER images
For u band: SDSS if possible, otherwise Skymapper, otherwise fail For g/r/i/z: use PS1
- Parameters:
image – Image
- Returns:
catalog at image position
- mirar.pipelines.gmos.generator.gmos_reference_image_generator(image: Image) BaseReferenceGenerator[source]
Get a reference image generator for a GMOS image
For u band: SDSS if possible, otherwise fail For g/r/i/z: use PS1
- Parameters:
image – image
- Returns:
Reference image generator
- mirar.pipelines.gmos.generator.gmos_reference_image_resampler(**kwargs) Swarp[source]
Generates a resampler for reference images
- Parameters:
kwargs – kwargs
- Returns:
Swarp processor
- mirar.pipelines.gmos.generator.gmos_reference_psfex(output_sub_dir: str, norm_fits: bool) PSFex[source]
Generates a PSFex processor for reference images
- Parameters:
output_sub_dir – output sui directory
norm_fits – boolean
- Returns:
Sextractor processor
- mirar.pipelines.gmos.generator.gmos_reference_sextractor(output_sub_dir: str, gain: float | None = None) Sextractor[source]
Generates a sextractor processor for reference images
- Parameters:
output_sub_dir – output sui directory
gain – gain of image
- Returns:
Sextractor processor
mirar.pipelines.gmos.gmos_mask module
Functions to create a mask for GMOS data.
mirar.pipelines.gmos.gmos_pipeline module
Module to run the GMOS data reduction pipeline
- class mirar.pipelines.gmos.gmos_pipeline.GMOSPipeline(selected_configurations: str | list[str] = 'default', night: int | str = '')[source]
Bases:
PipelineClass to run GMOS data reduction pipeline
- all_pipeline_configurations = {'default': [<mirar.processors.utils.image_loader.ImageLoader object>, <mirar.processors.utils.image_selector.ImageBatcher object>, <mirar.processors.mask.MaskPixelsFromFunction object>, <mirar.processors.utils.image_saver.ImageSaver object>, <mirar.processors.csvlog.CSVLog object>, <mirar.processors.utils.image_selector.ImageBatcher object>, <mirar.processors.astrometry.autoastrometry.autoastrometry_processor.AutoAstrometry object>, <mirar.processors.astromatic.sextractor.sextractor.Sextractor object>, <mirar.processors.astromatic.scamp.scamp.Scamp object>, <mirar.processors.utils.image_selector.ImageRebatcher object>, <mirar.processors.utils.image_saver.ImageSaver object>, <mirar.processors.astromatic.swarp.swarp.Swarp object>, <mirar.processors.astrometry.anet.anet_processor.AstrometryNet object>, <mirar.processors.astromatic.sextractor.sextractor.Sextractor object>, <mirar.processors.photcal.photcalibrator.PhotCalibrator object>, <mirar.processors.utils.image_saver.ImageSaver object>, <mirar.processors.reference.ProcessReference object>, <mirar.processors.astromatic.sextractor.sextractor.Sextractor object>, <mirar.processors.astromatic.psfex.psfex.PSFex object>, <mirar.processors.zogy.zogy.ZOGYPrepare object>, <mirar.processors.zogy.zogy.ZOGY object>, <mirar.processors.utils.image_saver.ImageSaver object>, <mirar.processors.sources.forced_photometry.ForcedPhotometryDetector object>, <mirar.processors.sources.utils.regions_writer.RegionsWriter object>, <mirar.processors.photometry.aperture_photometry.AperturePhotometry object>, <mirar.processors.photometry.psf_photometry.PSFPhotometry object>, <mirar.processors.sources.parquet_writer.ParquetWriter object>, <mirar.processors.sources.csv_exporter.CSVExporter object>, <mirar.processors.sources.image_updater.ImageUpdater object>], 'log': [<mirar.processors.utils.image_loader.ImageLoader object>, <mirar.processors.utils.image_selector.ImageBatcher object>, <mirar.processors.mask.MaskPixelsFromFunction object>, <mirar.processors.utils.image_saver.ImageSaver object>, <mirar.processors.csvlog.CSVLog object>], 'reduce': [<mirar.processors.utils.image_loader.ImageLoader object>, <mirar.processors.utils.image_selector.ImageBatcher object>, <mirar.processors.mask.MaskPixelsFromFunction object>, <mirar.processors.utils.image_saver.ImageSaver object>, <mirar.processors.csvlog.CSVLog object>, <mirar.processors.utils.image_selector.ImageBatcher object>, <mirar.processors.astrometry.autoastrometry.autoastrometry_processor.AutoAstrometry object>, <mirar.processors.astromatic.sextractor.sextractor.Sextractor object>, <mirar.processors.astromatic.scamp.scamp.Scamp object>, <mirar.processors.utils.image_selector.ImageRebatcher object>, <mirar.processors.utils.image_saver.ImageSaver object>, <mirar.processors.astromatic.swarp.swarp.Swarp object>, <mirar.processors.astrometry.anet.anet_processor.AstrometryNet object>, <mirar.processors.astromatic.sextractor.sextractor.Sextractor object>, <mirar.processors.photcal.photcalibrator.PhotCalibrator object>, <mirar.processors.utils.image_saver.ImageSaver object>]}
- name = 'gmos'
- non_linear_level = 100000
mirar.pipelines.gmos.load_gmos_image module
Module for loading raw WASP images and ensuring they have the correct format