R Python FORTRAN
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by James Long updated October 14, 2012 The purpose of this software suite is to apply noisification and denoisification methods on astronomical light curves. Run interp_test.py in src/ to get a feel for how the program works. Folder descriptions (in order of importance): :src: python source code for getting light curves into data bases, noisifying light curves, outputting results in data_processed :data_analysis: mostly R code used for analyzing data in the data_processed folders. functions for running classifiers, EDA, ect. :data: contains raw data (light curves) from several surveys :data_processed: code in src outputs files that can be read into R. usually files with features and files with time,flux,error measurements for light curves :db: light curves are moved from data folder and put into databases where they can be manipulated. db holds these databases. most are created by code in src folder