AutoProf is a pipeline for basic and advanced non-parametric galaxy image analysis. Its design allows for fast startup and provides flexibility to explore new ideas and support advanced users. It was written by Connor Stone with contributions from Nikhil Arora, Stephane Courteau, Jean-Charles Cuillandre, and now more (see the GitHub contributors).
pip install autoprof
Please use python version 3.9 or greater.
See our documentation for a full description of AutoProf's capabilities
Please see the ADS Bibliographic Record of the AutoProf paper for proper citation.
This is the AutoProf isophotal code, it works great in its domain which is wherever one would use isophotal fitting. Thus it is suitable for mostly isolated, mostly resolved, objects. If you are limited by the PSF, crowding, or want to model multi-band/epoch data you may want to consider "AstroPhot" a full forward modelling code. Just follow this link to check it out!
FAQs
Fast, robust, deep isophotal solutions for galaxy images.
We found that autoprof demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Malicious Go packages are impersonating popular libraries to install hidden loader malware on Linux and macOS, targeting developers with obfuscated payloads.
Security News
Bybit's $1.46B hack by North Korea's Lazarus Group pushes 2025 crypto losses to $1.6B in just two months, already surpassing all of 2024's $1.49B total.
Security News
OpenSSF has published OSPS Baseline, an initiative designed to establish a minimum set of security-related best practices for open source software projects.