Python library for Source Extraction and Photometry
Source Extractor (Bertin & Arnouts 1996) is a widely used command-line program for segmentation and analysis of astronomical images. It reads in FITS format files, performs a configurable series of tasks, including background estimation, source detection, deblending and a wide array of source measurements, and finally outputs a FITS format catalog file.
While Source Extractor is highly useful, the fact that it can only be used as an executable can limit its applicability or lead to awkward workflows. There is often a desire to have programmatic access to perform one or more of the above tasks on in-memory images as part of a larger custom analysis.
SEP makes the core algorithms of Source Extractor available as a library of stand-alone functions and classes. These operate directly on in-memory arrays (no FITS files or configuration files). The code is derived from the Source Extractor code base (written in C) and aims to produce results compatible with Source Extractor whenever possible. SEP consists of a C library with no dependencies outside the standard library, and a Python module that wraps the C library in a Pythonic API. The Python wrapper operates on NumPy arrays with NumPy as its only dependency. See below for language-specfic build and usage instructions.
spatially variable background and noise estimation
source extraction, with on-the-fly convolution and source deblending
circular and elliptical aperture photometry
fast: implemented in C with Python bindings via Cython
Additional features not in Source Extractor:
Optimized matched filter for variable noise in source extraction.
Circular annulus and elliptical annulus aperture photometry functions.
Local background subtraction in shape consistent with aperture in aperture photometry functions.
Exact pixel overlap mode in all aperture photometry functions.
Masking of elliptical regions on images.
SEP can be installed with conda from the
conda install -c conda-forge sep
SEP can also be installed with pip. After ensuring that numpy is installed, run
pip install sep
If you get an error about permissions, you are probably using your system Python. In this case, I recommend using pip’s “user install” option to install sep into your user directory
pip install --user sep
Do not install sep or other third-party Python packages using
unless you are fully aware of the risks.
For complete API documentation, see Reference/API.
Report a bug or documentation issue: http://github.com/kbarbary/sep/issues
Development of SEP takes place on GitHub at http://github.com/kbarbary/sep. Contributions of bug fixes, documentation improvements and minor feature additions are welcome via GitHub pull requests. For major features, it is best to open an issue discussing the change first.
License and Citation¶
The license for SEP is the Lesser GNU Public License (LGPL), granted with the permission from the original author of Source Extractor.
The DOI for the sep v1.0.0 code release is 10.5281/zenodo.159035.