ggm,gogrean

ggm's Introduction

This repository contains useful utilities for Gaussian gradient
filtering of astronomical FITS images.

The programs are described in

A very deep Chandra view of metals, sloshing and feedback in the
Centaurus cluster of galaxies, J.S. Sanders, A.C. Fabian, G.B. Taylor,
H.R. Russell, K.M. Blundell, R.E.A. Canning, J. Hlavacek-Larrondo,
S.A. Walker, C.K. Grimes, 2016, MNRAS, 457, 82
http://adsabs.harvard.edu/abs/2016MNRAS.457...82S

and

Detecting edges in the X-ray surface brightness of galaxy clusters,
J.S. Sanders, A.C. Fabian, H.R. Russell, S.A. Walker, K.M. Blundell,
2016, MNRAS, accepted, http://arxiv.org/abs/1605.02911

All software is Copyright Jeremy Sanders and released under the GNU
GPLv2+.

gaussian_gradient_magnitude.py
------------------------------

The main program is gaussian_gradient_magnitude.py. This utility
applies the gaussian gradient magnitude filter to an input fits image,
using a particular scale, sigma, in pixels.

Requirements:
 - Python 2.7, pyfits, numpy, scipy

To run, type

./gaussian_gradient_magnitude.py in.fits out.fits sigma

Where sigma is a floating point value >0

hideregions2
------------

This is a tool to cosmetically hide point sources in fits images. It
fills point sources with random values from the surrounding pixel
region. See hideregions2/README for details.

ggm_combine
-----------

This is an interactive tool to combine fits images filtered on
different scales. See ggm_combine/README for details.

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