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iprafols/cross_correlations
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Cross-correlations =================== ** DESCRIPTION AND USAGE ** This code comuputes the cross-correlation of a continuous dataset, such as the Lyman-alpha forest, and a discrete dataset, such as DLAs. Among options computes the covariance matrix of the measurement and/or the distortion matrix. For further details of the behaviour of the code, refer to Pérez-Ràfols et al. In Prep. To use the code check one of the provided shell scripts in programs/ and use it as an example. Please cite the original paper (Pérez-Ràfols et al. In Prep.) whenever the usage of this code results in a publication of any type. ** PRE-REQUISITES ** The following standard packages are required: - cfitsio - CCFits ** COMPILATION ** Follow these instructions to compile the 1. Open the makefile 2. Change the variables INCLUDE and LIBRARY to specify the path to your CCfits and cfitsio installations. Maintain the options -I./lib in INCLUDE and -L./lib in LIBRARY. 3. Run make Inclusion of a configure script to manage compilation or install is left for future version of the code. ** INTALLATION ** This option is currently unabalable, check future versions ** DOCUMENTATION ** There is currently no documentation page per se, it will be included in future versions of the code. For a description of the code options and their default values, refer to config/explanatory.ini ** UPDATES & CONTRIBUTORS ** This code is available at github.com/iprafols/cross_correlations. Official updates will be uploaded to this public repository. Contributors are welcome and encouraged to perform "pull requests" to include their modifications to the official version of the code.
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