4.7 Article

On asymmetric dark matter constraints from the asteroseismology of a subgiant star

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stab2372

关键词

asteroseismology; stars: evolution; stars: oscillations; dark matter

资金

  1. Fundacao para a Ciencia e Tecnologia (FCT) [PD/BD/128235/2016]
  2. Fundacao para a Ciencia e Tecnologia (FCT), Portugal [UIDB/00099/2020, PTDC/FIS-AST/28920/2017]
  3. Fundação para a Ciência e a Tecnologia [PD/BD/128235/2016] Funding Source: FCT

向作者/读者索取更多资源

The study investigates the influence of asymmetric dark matter (ADM) on the evolution of a subgiant star by directly comparing with observational data, finding that the presence of ADM in such stars does not contradict observations. A new methodology is proposed to study dark matter properties using seismic observables, with Delta Pi(l) identified as the most reliable parameter for future dark matter exclusion diagrams. This approach can be a powerful tool for analyzing data from the next generation of asteroseismic missions.
The asteroseismic modelling of solar-like stars has proved to be valuable in constraining dark matter. In this work, we study for the first time the influence of asymmetric dark matter (ADM) in the evolution of a subgiant star (KIC 8228742) by direct comparison with observational data. Both spectroscopic and seismic data are analysed with a new approach to the stellar calibration method, in which DM properties can also be considered as free inputs. In another phase of this study, a calibrated standard stellar model (without DM) is used as the benchmark for DM models. We find that the latter models consistently outperform the former for 10(-40) <= sigma(SD) < 10(-38) cm(2), hinting that the presence of ADM in stars of this type does not go against observations. Moreover, we show that stellar seismology allows us to suggest exclusion limits that complement the constraints set by direct detection experiments. Different seismic observables are proposed to study DM properties and Delta Pi(l) is found to be the most reliable, having the potential to build future DM exclusion diagrams. This new methodology can be a powerful tool in the analysis of the data coming from the next generation of asteroseismic missions.

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