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[ascl:1704.009] Photo-z-SQL: Photometric redshift estimation framework

Photo-z-SQL is a flexible template-based photometric redshift estimation framework that can be seamlessly integrated into a SQL database (or DB) server and executed on demand in SQL. The DB integration eliminates the need to move large photometric datasets outside a database for redshift estimation, and uses the computational capabilities of DB hardware. Photo-z-SQL performs both maximum likelihood and Bayesian estimation and handles inputs of variable photometric filter sets and corresponding broad-band magnitudes.

Code site:
https://github.com/beckrob/Photo-z-SQL
Used in:
https://ui.adsabs.harvard.edu/abs/2017MNRAS.468.4323B
Described in:
https://ui.adsabs.harvard.edu/abs/2017A%26C....19...34Bs
Bibcode:
2017ascl.soft04009B

Views: 4344

ascl:1704.009
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