Neural networks and photometric redshifts

• Grant number: 13/13842-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: August 01, 2013
• End date: July 31, 2015
• Field of knowledge: Physical Sciences and Mathematics - Physics - General Physics
• Principal Investigator: Marcos Vinicius Borges Teixeira Lima
• Grantee: Henrique Rubira
• Host Institution: Instituto de Física (IF). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

In this project it will be studied the computation of photometric redshifts of galaxies by the neural network techniques. A solid and accurate redshift evaluation is fundamental for the large galaxy mapping projects in the present and in the those that might happen in the near future. The focus will be in 3 aspects: 1) the theoretic and statistical study of the technique, 2) the numerical implementation and its application in catalogs, 3) the relation between the respective results and the cosmological features in which photometric redshifts are important. (AU)