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.
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:
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.
See the documentation for more information: documentation
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).
The Photometry Pipeline is distributed under the GNU GPLv3 license.
Copyright (C) 2016-2022 Michael Mommert