BRATS is a software package for Linux and Mac which provides a variety of tools for the spectral analysis of both new broad-bandwidth radio data, along with legacy support for narrowband telescopes. Key features include:
- Adaptive Regions - Automatic selection of regions based on user parameters (e.g. signal to noise).
- Spectral Age Model Fitting - Fit models of spectral ageing on small spatial scales.
- Injection Index Minimisation - Automatic determination of the best-fitting injection index.
- Statistical Testing - Chi-squared testing, error maps, confidence levels and binning of model fits.
- Spectral Index Mapping - Map spectral index as a function of position.
- Image Reconstruction - Reconstruct sources at any frequency for a given model and parameter set.
- Image Subtraction - Subtract any two FITS images and output residual maps.
- Multi-frequency Image Combination - Easily combine and scale FITS images in the image plane.
- Resize radio maps - Quickly and easily crop or expand FITS images.
For a full list of features, usage instructions, and a walkthrough tutorial, please refer to the BRATS cookbook available on the GitHub repository.
If you have made use of this software please cite Harwood et al., 2013, MNRAS, 435, 3353 and Harwood et al., 2015, MNRAS, 454, 3403. If possible, also include a link to this GitHub respository.
The original papers detailing BRATS can be obtained on MNRAS or arXiv, with more recent features detailed here (MNRAS) and here (arXiv). Useful information and testing of some features against simulated data can also be found here (arXiv).
A Python wrapper and tools for automated image alignment can be found at:
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent