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Bayesian Source Detection and Modeling

Bayesian Source detection and characterization in astronomical images.

This is a library for performing source detection in single band sky images using Bayesian approach. Multimodal nested sampling procedure is employed to detect and characterize wide range of sources present in an image.

Authors

Richard Lee

Matias Carrasco Kind

Krishna Chaitanya Chavati

Edward Kim

Robert J. Brunner

Required packages

Python 2.7

Numpy 1.8.2

Scipy 0.14.0

IPython, IPython Notebook 2.2.0

Matplotlib 1.4.0

Scikit-Learn 0.15.0b1

Pyfits 3.3

How to use

Check out demo.ipynb

Documentation

Notes

The code examples in this notebook are slightly out of date, refer to demo.ipynb for a more up to date example of the code's usage.

##References

[arXiv:0704.3704] (http://arxiv.org/abs/0704.3704)

[arXiv:astro-ph/0701867] (http://arxiv.org/abs/astro-ph/0701867)

Metropolis Hastings

[arXiv:astro-ph/0204457] (http://arxiv.org/abs/astro-ph/0204457)

Nested Sampling

Data Analysis: A Bayesian Tutorial by Sivia et al(2006)

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