Search Results for "cpu-z linux"

Sombrero is a fast wavelet image processing and object detection C library for astronomical images. Sombrero is named after the "Mexican Hat" shape of the wavelet masks used in image convolution and is released under the GNU LGPL library.

WSClean (w-stacking clean) is a fast generic widefield imager. It uses the w-stacking algorithm and can make use of the w-snapshot algorithm. As of Feb 2014, it is 2-12 times faster than CASA's w-projection, depending on the array configuration. It supports full-sky imaging and proper beam correction for homogeneous dipole arrays such as the MWA. WSClean allows Hogbom and Cotton-Schwab cleaning and has wideband, multiscale, compressed sensing and joined-polarization deconvolution modes....

VStar is a multi-platform, easy-to-use variable star observation visualisation and analysis tool. Data can be read from a file or the AAVSO database, light curves and phase plots created, period analysis performed, and filters applied. Plugins can be developed, e.g. to make additional observation sources available. See also: 1. http://www.aavso.org/vstar-overview 2. http://www.aavso.org/forums/about-aavso/vstar 3. http://dbenn.wordpress.com/category/astronomy-science/vstar 4....

The GALPROP program (http://galprop.stanford.edu) computes cosmic-ray propagation in the Galaxy, in 2D or 3D. The ouput cosmic-ray distribution is in the form of FITS files which however are not convenient for viewing or plotting with the standard ftools program fv, since the files have 4 or 5 dimensional arrays (due to the momentum and species axes) while fv handles only 3 dimensional arrays. This program converts to fv-compatible FITS files, either from 2D to (R,z) or from 3D to (x,z) at...

This is a parallelized algorithm performing a decomposition of the time-series data into a number of sinusoidal components, disentangling them from the white Gaussian noise. The algorithm analyses all suspicious frequencies, including the ones that look like an alias at a glance, but may become preferable later. After selection of the initial frequency candidates, the algorithm passes through all their possible combinations and estimates their multi-frequency statistical significance. In the...