kiraro33/photometrypipeline

automated photometry pipeline for small to medium-sized observatories

Photometry Pipeline

The Photometry Pipeline (PP) is a Python 3 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.

PP is fully functional, but development has stalled; tailored support can only be provided in exceptional cases.

See this document for a list of supported instruments and catalogs.

Installation

PP requires git for the installation, a number of non-standard Python modules:

• numpy
• scipy
• astropy
• astroquery (version >= 0.3.9)
• matplotlib
• future
• skimage
• pandas

and some freely available software:

• Source Extractor
• SCAMP

PP is available from github. You can get the source code by typing into your terminal:

git clone https://github.com/mommermi/photometrypipeline

PP is evolving. Once you have downloaded PP, you can update to the latest code by simply running:

git pull

after changing into the directory where the code resides on your machine.

Documentation

See the documentation for more information: documentation

Acknowledgments

If you are using PP for your research, please acknowledge PP by citing

• Mommert 2017, PHOTOMETRYPIPELINE: An Automated Pipeline for Calibrated Photometry, Astronomy & Computing, 18, 47.

PP is supported by NASA grants NNX15AE90G and NNX14AN82G and has been developed in the framework of the Mission Accessible Near-Earth Objects Survey (MANOS).

License and Contact

The Photometry Pipeline is distributed under the GNU GPLv3 license.

Copyright (C) 2016-2022 Michael Mommert