JOURNAL ARTICLE
White dwarf cooling in f(R,T) gravity.
Published In: International Journal of Modern Physics A: Particles & Fields; Gravitation; Cosmology; Nuclear Physics, 2024, v. 39, n. 5/6. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Bhattacharjee, Snehasish 3 of 3
Abstract
In recent times, astounding observations of both over- and under-luminous type Ia supernovae have emerged. These peculiar observations hint not only at surpassing the Chandrasekhar limit but may also suggest potential modifications in the physical attributes of their progenitors such as their cooling rate. This, in turn, can influence their temporal assessments and provide a compelling explanation for these intriguing observations. In this spirit, we investigate here the cooling process of white dwarfs in f (R , T) gravity with the simplest model f (R , T) = R + λ T , where λ is the model parameter. Our modeling suggests that the cooling timescale of white dwarfs exhibits an inverse relationship with the model parameter λ. This unveils that in the realm of f (R , T) gravity, the energy release rate for white dwarfs increases as λ increases. Furthermore, we also report that the luminosity of the white dwarfs also depends on λ and an upswing in λ leads to an amplification in the luminosity. As a result, utilizing white dwarf luminosity could possibly define bounds on f (R , T) gravity models. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Modern Physics A: Particles & Fields; Gravitation; Cosmology; Nuclear Physics. 2024/02, Vol. 39, Issue 5/6, p1
- Document Type:Article
- Subject Area:History
- Publication Date:2024
- ISSN:0217-751X
- DOI:10.1142/S0217751X2450026X
- Accession Number:177204653
- Copyright Statement:Copyright of International Journal of Modern Physics A: Particles & Fields; Gravitation; Cosmology; Nuclear Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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