Busca avançada
Ano de início
Entree
(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.)

Probing the stellar initial mass function with high-z supernovae

Texto completo
Autor(es):
de Souza, R. S. [1, 2] ; Ishida, E. E. O. [3, 4] ; Whalen, D. J. [5, 6] ; Johnson, J. L. [5] ; Ferrara, A. [7]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Korea Astron & Space Sci Inst, Taejon 305348 - South Korea
[2] MTA Eotvos Univ, EIRSA Lendulet Astrophys Res Grp, H-1117 Budapest - Hungary
[3] Univ Sao Paulo, IAG, BR-05508900 Sao Paulo - Brazil
[4] Max Planck Inst Astrophys, D-85748 Garching - Germany
[5] Los Alamos Natl Lab, Los Alamos, NM 87545 - USA
[6] Heidelberg Univ, Zentrum Astron, Inst Theoret Astrophys, D-69120 Heidelberg - Germany
[7] Scuola Normale Super Pisa, I-56126 Pisa - Italy
Número total de Afiliações: 7
Tipo de documento: Artigo Científico
Fonte: Monthly Notices of the Royal Astronomical Society; v. 442, n. 2, p. 1640-1655, AUG 1 2014.
Citações Web of Science: 20
Resumo

The first supernovae (SNe) will soon be visible at the edge of the observable universe, revealing the birthplaces of Population III stars. With upcoming near-infrared missions, a broad analysis of the detectability of high-z SNe is paramount. We combine cosmological and radiation transport simulations, instrument specifications and survey strategies to create synthetic observations of primeval core-collapse (CC), Type IIn and pair-instability (PI) SNe with the James Webb Space Telescope (JWST). We show that a dedicated observational campaign with the JWST can detect up to similar to 15 PI explosions, similar to 300 CC SNe, but less than one Type IIn explosion per year, depending on the Population III star formation history. Our synthetic survey also shows that a parts per thousand 1-2 x 10(2) SNe detections, depending on the accuracy of the classification, are sufficient to discriminate between a Salpeter and flat mass distribution for high-redshift stars with a confidence level greater than 99.5 per cent. We discuss how the purity of the sample affects our results and how supervised learning methods may help to discriminate between CC and PI SNe. (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