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PARAMESH is a package of Fortran 90 subroutines designed to provide an
application developer with an easy route to extend an existing serial
code which uses a logically cartesian structured mesh into a parallel
code with adaptive mesh refinement(AMR).
ACRASH is an open implementation of the CRASH Monte-Carlo continuum radiative transfer scheme presented in Ciardi et al. 2001 and Maselli et al. 2003. This code solves the radiative transfer equation for any geometry in 3D using a Monte-Carlo scheme.
JPARSEC is a Java Package of Astronomical Resources for Standard Ephemerides Calculations, focused on accuracy, documentation, 2D/3D charts, realistic planetary rendering, and Astrophysical modeling. For source code visit http://conga.oan.es/~alonso/
Pysolar is a Python library for calculating the position of the sun relative to the earth as a function of latitude, longitude, and time. There is also code included for other problems related to the development of photovoltaic systems. Still in alpha.
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A code for fast multi-dimensional density estimation . Instead of assuming an a-priori metric definition, it calculates a locally adaptive metric for each data point by using, a Shannon Entropy based, binary space partitioning scheme.
retep is a collection of Java API's covering PDF, XML, J2EE , Swing and now NetBeans modules for displaying astronomical maps, controlling modern "Go-To" telescopes - all in java., and accessing online databases.
JOSAST ( Java Open Source Amateur Satellite Toolkit) is a set of java source code used for amateur satellite, hamradio and also astronomia activities ...
Reusable package and complete software should be available.
Project moved to Google Code since SourceForce is a broken, buggy, non-responsive service. I had to re-log in over 100 times just to change this description. Please visit the project at http://code.google.com/p/starflighttlc/ for the latest version of th
...For install it, download/clone this repository or download suitable binary file from releases.
Not working yet! The first release comming soon...
Requirements
numpy
matplotlib
PyAstronomy
pymc
Installation is possible from source code or using build installation binary file (only for OS
Windows). The following procedure is only for installation from the source code. Extract
files and go to new-created folder. Running script setup.py the installation will be done:
python setup.py install
Improving the speed of the signal analysis code for Seti@home. Leveraging modern processors advanced features such as SIMD and parallel execution units, as well as identifying better methods to code existing functions.