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Please work through the documentation and add your comments on the bottom of this page, or email comments to support@cyverse.org. Thank you.
The Photometry Pipeline (PP) is a Python software package for automated photometric analysis of imaging data from small to medium-sized observatories. It uses Source Extractor and SCAMP to register and photometrically calibrate images based on catalogs that are available online; photometry is measured using Source Extractor aperture photometry. PP has been designed for asteroid observations, but can be used with any kind of imaging data
Pre-Requisites
- A CyVerse account. (Register for an CyVerse account here - user.cyverse.org)
- Mandatory arguments
- Input - One or more image files
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The following test data are provided for testing HISAT2 in here - /iplant/home/shared/iplantcollaborative/example_data/uncompress_files_with_gunzipphotometry_pipeline:
- mscience0217.fits
- mscience0218.fits
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