The rates of Type Ia Supernovae. II. Diversity of events at low and high redshift

This paper investigates on the possible systematic difference of Supernovae Ia (SN Ia) properties related to the age and masses of the progenitors that could introduce a systematic bias between low and high redshift SN Ia's. The relation between the main features of the distribution of the delay times (DTD) and the masses of the progenitors is illustrated for the single (SD) and double degenerate (DD) models. Mixed models, which assume contributions from both the SD and DD channels, are also presented and tested versus the observed correlations between the SN Ia rates and the parent galaxy properties. It is shown that these correlations can be accounted for with both single channel and mixed models, and that the rate in S0 and E galaxies may effectively provide clues on the contribution of SD progenitors to late epoch explosions. A wide range of masses for the CO WD at the start of accretion is expected in almost all galaxy types; only in galaxies of the earliest types the properties of the progenitors are expected to be more uniform. For mixed models, late type galaxies should host SD and DD explosions in comparable fractions, while in early type galaxies DD explosions should largely prevail. Events hosted by star forming galaxies span a wide range of delay times; \textit{prompt} events could dominate only in the presence of a strong star-burst. It is concluded that nearby SN Ia samples should well include the young, massive and hot progenitors that necessarily dominate at high redshift.Comment: 22 pages, 15 figures, MNRAS accepte

Virtualization and grid utilization within the CANFAR project

The Canadian Advanced Network For Astronomical Research (CANFAR) is an operational system for the delivery, processing, storage, analysis, and distribution of very large astronomical datasets. CANFAR combines the Canadian national research network (CANARIE), grid processing and storage resources (Compute Canada) and a data center (CADC) into a unified Platform-as-a-service (PaaS) cyberinfrastructure supporting Canadian astronomy projects. The CANFAR processing service is based on virtualization and combines features of the grid and cloud processing models to provide a self-configuring virtual cluster deployed on multiple cloud clusters. The service makes use of many technologies from the grid, cloud and Virtual Observatory communities.Peer reviewed: YesNRC publication: Ye