Skip to content

antoinetran/ldasoft

 
 

Repository files navigation

\mainpage

Prototype data analysis software for LISA analysis

Doxygen code documentation

https://tlittenberg.github.io/ldasoft/html/index.html

Acknowledgment

@misc{ldasoft,
	author = "Tyson B. Littenberg, Neil J. Cornish, Kristen Lackeos, Travis Robson",
	title = "LDASoft",
	howpublished = "free software (GPL)"
	doi = "10.5281/zenodo.2026177"
	year = "2020"
}

DOI

C Dependencies

gsl
gslcblas
openmp
mpi
hdf5

The GlobalFit pipeline additionally requires the global-fit branch of LISA-Massive-Black-Hole to be installed.

Installation

Example build script:

#!/bin/bash

# set prefix for install directories
export LDASOFT_PREFIX=<EDIT: path to desired install directories>

# build codes
./install.sh ${LDASOFT_PREFIX}

# add location of binaries to PATH 
export PATH=${LDASOFT_PREFIX}/bin:${PATH}

Directory tree for the ldasoft installation:

├── bin
│   ├── Bright_Remove
│   ├── Confusion_Fit
│   ├── Fisher_Galaxy
│   ├── Full_Residual
│   ├── Galaxy
│   ├── OrbitFile
│   ├── Setup
│   ├── gaussian_mixture_model
│   ├── gb_catalog
│   ├── gb_match
│   ├── gb_mcmc
│   ├── gb_mcmc_brans_dicke
│   ├── gb_mcmc_chirpmass
│   ├── gb_residual
│   └── global_fit
├── include
│   ├── Constants.h
│   ├── GalacticBinary.h
│   ├── GalacticBinaryCatalog.h
│   ├── GalacticBinaryData.h
│   ├── GalacticBinaryFStatistic.h
│   ├── GalacticBinaryIO.h
│   ├── GalacticBinaryMCMC.h
│   ├── GalacticBinaryMath.h
│   ├── GalacticBinaryModel.h
│   ├── GalacticBinaryPrior.h
│   ├── GalacticBinaryProposal.h
│   ├── GalacticBinaryWaveform.h
│   ├── LISA.h
│   └── gitversion.h
└── lib
    ├── libgbmcmc.a
    ├── liblisa.a
    └── libtools.a

Issue tracker

https://github.com/tlittenberg/ldasoft/issues

Other resources

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 61.9%
  • C 29.9%
  • Python 5.5%
  • Makefile 2.4%
  • Other 0.3%