Fast, robust, deep isophotal solutions for galaxy images.

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  • License: GNU General Public License v3 (GPLv3) (GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc...)
  • Author: Connor Stone
  • Tags astronomy, astrophysics, autoprof, photometry, scientific computing
  • Requires: Python >=3.9
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Project description

AutoProf

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, and Jean-Charles Cuillandre.

Install

pip install autoprof

Please use python version 3.9 or greater.

Documentation

See our documentation for a full description of AutoProf's capabilities

Citation

Please see the ADS Bibliographic Record of the AutoProf paper for proper citation.

Notice

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!

Project details

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Avatar for ConnorStone from gravatar.com ConnorStone

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  • License: GNU General Public License v3 (GPLv3) (GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc...)
  • Author: Connor Stone
  • Tags astronomy, astrophysics, autoprof, photometry, scientific computing
  • Requires: Python >=3.9
Classifiers

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1.3.1

1.3.0

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