A type II supernova Hubble Diagram from the CSP-I, SDSS-II, and SNLS surveys

 

Autores
Jaeger, T. De; González Gaitán, S.; Hamuy, M.; Galbany, L.; Anderson, J. P.; Phillips, M. M.; Stritzinger, M. D.; Carlberg, R. G.; Sullivan, M.; Gutiérrez, C. P.; Hook, I. M.; Howell, D. Andrew; Hsiao, E. Y.; Kuncarayakti, H.; Ruhlmann Kleider, V.; Folatelli, Gaston; Pritchet, C.; Basa, S.
Tipo de recurso
artículo
Estado
Versión publicada
Año de publicación
2017
País
Argentina
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio
CONICET Digital (CONICET)
Descripción
The coming era of large photometric wide-field surveys will increase the detection rate of supernovae by orders of magnitude. Such numbers will restrict spectroscopic follow-up in the vast majority of cases, and hence new methods based solely on photometric data must be developed. Here, we construct a complete Hubble diagram of Type II supernovae (SNe II) combining data from three different samples: the Carnegie Supernova Project-I, the Sloan Digital Sky Survey II SN, and the Supernova Legacy Survey. Applying the Photometric Color Method (PCM) to 73 SNe II with a redshift range of 0.01-0.5 and with no spectral information, we derive an intrinsic dispersion of 0.35 mag. A comparison with the Standard Candle Method (SCM) using 61 SNe II is also performed and an intrinsic dispersion in the Hubble diagram of 0.27 mag, i.e., 13% in distance uncertainties, is derived. Due to the lack of good statistics at higher redshifts for both methods, only weak constraints on the cosmological parameters are obtained. However, assuming a flat universe and using the PCM, we derive the universes matter density: m= 0.32 m+0.30 - 0.21 providing a new independent evidence for dark energy at the level of two sigma.
Idioma
inglés
OAI Identifier
oai:ri.conicet.gov.ar:11336/41103
Enlace del recurso
http://hdl.handle.net/11336/41103
Nivel de acceso
Acceso abierto
Materia
Distances (galaxias)
Supernovae
Distance scale
Galaxies
Redshifts
Astronomía
Ciencias Físicas
CIENCIAS NATURALES Y EXACTAS