SPIDERz: SuPport vector classification for IDEntifying Redshifts

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Ada Coda
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SPIDERz: SuPport vector classification for IDEntifying Redshifts

Post by Ada Coda » Thu Sep 01, 2016 3:52 am

SPIDERz: SuPport vector classification for IDEntifying Redshifts

Abstract: SPIDERz (SuPport vector classification for IDEntifying Redshifts) applies powerful support vector machine (SVM) optimization and statistical learning techniques to custom data sets to obtain accurate photometric redshift (photo-z) estimations. It is written for the IDL environment and can be applied to traditional data sets consisting of photometric band magnitudes, or alternatively to data sets with additional galaxy parameters (such as shape information) to investigate potential correlations between the extra galaxy parameters and redshift.

Credit: Jones, Evan; Singal, J.

Site: https://sourceforge.net/projects/spiderz/
http://adsabs.harvard.edu/abs/2017A%26A...600A.113J

Bibcode: 2016ascl.soft08020J

ID: ascl:1608.020
Last edited by Ada Coda on Sat Jun 30, 2018 7:40 pm, edited 1 time in total.
Reason: Updated code entry.

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