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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

The first analytical expression to estimate photometric redshifts suggested by a machine

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Autor(es):
Krone-Martins, A. [1] ; Ishida, E. E. O. [2, 3] ; de Souza, R. S. [4, 5]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] Univ Lisbon, Fac Ciencias, SIM, P-1749016 Lisbon - Portugal
[2] Univ Sao Paulo, IAG, BR-05508900 Sao Paulo, SP - Brazil
[3] Max Planck Inst Astrophys, D-85748 Garching - Germany
[4] Korea Astron & Space Sci Inst, Taejon 305348 - South Korea
[5] MTA Eotvos Univ, EIRSA Lendulet Astrophys Res Grp, H-1117 Budapest - Hungary
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: Monthly Notices of the Royal Astronomical Society; v. 443, n. 1, p. L34-L38, SEP 1 2014.
Citações Web of Science: 10
Resumo

We report the first analytical expression purely constructed by a machine to determine photometric redshifts (z(phot)) of galaxies. A simple and reliable functional form is derived using 41 214 galaxies from the Sloan Digital Sky Survey Data Release 10 (SDSS-DR10) spectroscopic sample. The method automatically dropped the u and z bands, relying only on g, r and i for the final solution. Applying this expression to other 1417 181 SDSS-DR10 galaxies, with measured spectroscopic redshifts (z(spec)), we achieved a mean <(z(phot) - z(spec))/(1 + z(spec))> less than or similar to 0.0086 and a scatter sigma(z(phot-zspec))/(1+ (zspec)) less than or similar to 0.045 when averaged up to z less than or similar to 1.0. The method was also applied to the PHAT0 data set, confirming the competitiveness of our results when faced with other methods from the literature. This is the first use of symbolic regression in cosmology, representing a leap forward in astronomy-data-mining connection. (AU)

Processo FAPESP: 11/09525-3 - Estudos de supernovas IA em grandes levantamentos de galáxias
Beneficiário:Emille Eugenia de Oliveira Ishida
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado