SparsePZ: Sparse Representation of Photometric Redshift PDFs

Discussion topics for individual codes
Post Reply
Ada Coda
ASCL Robot
Posts: 1839
Joined: Thu May 08, 2014 5:37 am

SparsePZ: Sparse Representation of Photometric Redshift PDFs

Post by Ada Coda » Sun Nov 29, 2015 8:52 am

SparsePZ: Sparse Representation of Photometric Redshift PDFs

Abstract: SparsePZ uses sparse basis representation to fully represent individual photometric redshift probability density functions (PDFs). This approach requires approximately half the parameters for the same multi-Gaussian fitting accuracy, and has the additional advantage that an entire PDF can be stored by using a 4-byte integer per basis function. Only 10-20 points per galaxy are needed to reconstruct both the individual PDFs and the ensemble redshift distribution, N(z), to an accuracy of 99.9 per cent when compared to the one built using the original PDFs computed with a resolution of δz = 0.01, reducing the required storage of 200 original values by a factor of 10-20. This basis representation can be directly extended to a cosmological analysis, thereby increasing computational performance without losing resolution or accuracy.

Credit: Carrasco Kind, Matias; Brunner, R. J.

Site: https://github.com/mgckind/SparsePz
http://adsabs.harvard.edu/abs/2014MNRAS.441.3550C

Bibcode: 2015ascl.soft11011C

ID: ascl:1511.011
Last edited by Ada Coda on Thu Aug 09, 2018 10:08 pm, edited 1 time in total.
Reason: Updated code entry.

Post Reply