Photometry Pipeline.ipynb : jupyter notebook containing code to run the photometry pipeline on raw BVR images and generate a catalog of magnitudes.

sm_phot.py : custom package written to support the data pipeline with functions for image processing.

BVR Photometry of NGC-7789 : report on the results of this study. Relevant information to the functions of this repository can be found in section 2.

Instructions: Download Photometry Pipeline.ipynb and sm_phot.py to the same folder. Organize science and calibration images and modify filepaths in notebook. Identify sources for centroid alignment and enter coordinates in notebook. Run full notebook. Resulting data product is a catalog of magnitudes for each filter for all sufficiently bright targets in view as well as stacked and aligned science and calibration images.

Author: Seth Martin

Contact: sethdmartin@gmail.com