Photometry-pipeline-v1.0

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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

1. A CyVerse account. (Register for an CyVerse account here - user.cyverse.org)

2. Mandatory arguments 

   1. Input - One or more image files

Test/sample data

The following test data are provided for testing HISAT2 in here - /iplant/home/shared/iplantcollaborative/example_data/photometry_pipeline:

1. mscience0217.fits

2. mscience0218.fits

Results 

Upon successful execution, the Photometry_pipeline-v1.0 derives the calibrated photometry for the target that it finds in the OBJECT header keyword, as well as one rather bright ‘control star’ that is used to check the consistency of the photometric calibration.