GitHub - deapplegate/ccogs: Cosmological Calculations on GPUS. A collection of code used to perform calculations use in Cosmology studies and written for GPUs.

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Cosmological Calculations on GPUS. A collection of code used to perform calculations use in Cosmology studies and written for GPUs.

MIT license

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Name		Name	Last commit message	Last commit date
Latest commit History 76 Commits
angular_correlation		angular_correlation
aperture_mass		aperture_mass
three_point_correlation_function		three_point_correlation_function
ACKNOWLEDGEMENTS		ACKNOWLEDGEMENTS
CITING_THIS_CODE		CITING_THIS_CODE
KNOWN_ISSUES		KNOWN_ISSUES
LICENSE.MIT		LICENSE.MIT
README		README

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################################################################################
# README
################################################################################

This suite of tools contains packages for computing cosmological quantities on
the GPU. Details of the calculations themselves and the implementation can
be found in the "CITING_THIS_CODE" file in this directory. 

Further questions about this package can be addressed to the developers:

Debbie Bard
Kavli Institute for Particle Astrophysics and Cosmology, Stanford, CA 94309
[email protected]

Matt Bellis
Siena College, Department of Physics and Astronomy, Loudonville, NY  12210
[email protected]

Each package has its own descriptive "README" which can be found in its
subdirectory. In there, you can find the details of each package. 

The packages in the ccogs suite are:

----------------------------------------------
# aperture_mass
----------------------------------------------

This code calculates the aperture mass map for a given dataset. In this code, 
we use the filter proposed by Schirmer et al (2007), which is an NFW profile 
with exponential cut-offs at zero and large radii.


----------------------------------------------
# angular_correlation
----------------------------------------------

This code calculates the 2-pt angular correlation function using data and
a flat distribution of randomly generated galaxies. A particular estimator 
is chosen, but the user has the flexibility to explore other estimators.