Chemical evolution models: the role of type Ia supernovae in the α-elements over iron relative abundances and their variations in time and space

Author:

Cavichia O1ORCID,Mollá M2ORCID,Bazán J J2ORCID,Castrillo A3ORCID,Galbany L45ORCID,Millán-Irigoyen I2ORCID,Ascasibar Y36ORCID,Díaz A I37ORCID,Monteiro H1ORCID

Affiliation:

1. Instituto de Física e Química, Universidade Federal de Itajubá , Av. BPS, 1303, 37500-903, Itajubá-MG , Brazil

2. Departamento de Investigación Básica , CIEMAT, Avda. Complutense 40, E-28040 Madrid , Spain

3. Departamento de Física Teórica, Universidad Autónoma de Madrid , E-28049, Cantoblanco (Madrid) , Spain

4. Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Can Magrans , s/n, E-08193 Barcelona , Spain

5. Institut d’Estudis Espacials de Catalunya (IEEC) , E-08034 Barcelona , Spain

6. Centro de Investigación Avanzada en Física Fundamental, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049 Madrid, Spain

7. Centro de Investigación Avanzada en Física Fundamental, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049 Madrid , Spain

Abstract

ABSTRACT The role of type Ia supernovae (SN Ia), mainly the delay time distributions (DTDs) determined by the binary systems, and the yields of elements created by different explosion mechanisms, are studied by using the MulChem chemical evolution model applied to our Galaxy. We explored 15 DTDs and 12 tables of elemental yields produced by different SN Ia explosion mechanisms, doing a total of 180 models. Chemical abundances for $\alpha$-elements (O, Mg, Si, and Ca) and Fe derived from these models are compared with recent solar region observational data of $\alpha$-elements over Fe relative abundances, [X/Fe], as a function of [Fe/H] and age. A multidimensional maximum-likelihood analysis shows that 52 models are able to fit all these data sets simultaneously, considering the 1$\sigma$ confidence level. The combination of STROLG1 DTD from Strolger et al. (2020) and LN20181 SN Ia yields from Leung & Nomoto (2018) provides the best fit. The exponential model with very prompt events is a possible DTD, but a combination of several channels is more probable. The SN Ia yields that include MCh or Near MCh correspond to 39 (75 per cent) of the 52 best models. Regarding the DTD, 31 (60 per cent) of the 52 most probable models correspond to the SD scenario, while the remaining 21 (40 per cent) are based on the DD scenario. Our results also show that the relatively large dispersion of the observational data may be explained by the stellar migration from other radial regions, and/or perhaps a combination of DTDs and explosion channels.

Funder

AGAUR

CSIC

MCIN

AEI

CAPES

CNPq

FAPEMIG

ESA

Publisher

Oxford University Press (OUP)

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