PDL PROJECTS

DISC-DISTANCES CODE DISTRIBUTION: Analyzing the Distribution of Distances Between Galaxies

Contact: Eugene Fink, Julio López, Garth Gibson

Sequential and distributed implementations of exact and approximate computation of two-point correlation functions.

The DISC-Distances system computes two-point correlation functions for a given set of astronomical objects, such as galaxies. That is, it builds a histogram of pairwise distances between objects. This histogram allows determining the correlation between the distance and the probability that two randomly selected objects are within this distance from each other.


ZIP ARCHIVE:
Sequential Version

ZIP ARCHIVE:
Distributed Version (Hadoop)

ZIP ARCHIVE:
Parallel Version (OpenMP)


MAIN FEATURES

The exact computation scales to datasets with hundreds of thousands of astronomical objects. The approximate computation scales to sets with billions of objects and provides high accuracy with error under 0.1%.

LIMITATIONS

Please review our software license.

 

 

 

 

 

© 2018. Last updated 11 September, 2012