Search Results for "code analysis"
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Showing 7 open source projects for "code analysis"
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Sensitizer
A toolset to automate STOP analysis with Zemax OpticStudio
SENSITIZER is an ESO software toolset written in Matlab and Mathematica aiming at automating some Structural/Thermal/Optical Performance (STOP) sensitivity analyses with Zemax OpticStudio (ZOS). The core code of SENSITIZER runs in MATLAB and drives ZOS in the background through the ZOS-API interface, based on .NET. The output is saved in the MATLAB file format and can be post-processed using MATLAB and/or Mathematica routines. The optical system to analyze is defined in a normal Zemax lens... -
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jnum
Java numerical classes for astronomy and more...
Imagine Numerical Recipes in the 21st century. Fast object-oriented Java code for numerical analysis, with a special focus on astronomical application (coordinate conversions, WCS projections etc.) -
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bagemass
Bayesian age and mass estimates for transiting planet host stars
Source code, makefile and README for installation of software used for the analysis in Maxted, Serenelli & Southworth, "Bayesian mass and age estimates for transiting exoplanet host stars", A&A 575, 36, 2015. -
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QuickFlash is a C++-based analysis library for data files generated by the Flash hydrodynamics code. It provides high-performance access to large datasets in low memory situations and other restrictive environments.
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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.
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OCFit
Python package for fitting of O-C diagrams.
...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 -
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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.
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