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Unveiling a universal relationship between the f(R) parameter and neutron star properties

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arxiv 2306.01054 v2 pith:RD4GEDBW submitted 2023-06-01 gr-qc

classification gr-qc
keywords neutrongravitystarsalphamodifiedparametermassrelationship
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

In recent years, modified gravity theories have gained significant attention as potential replacements for the general theory of relativity. Neutron stars, which are dense compact objects, provide ideal astrophysical laboratories for testing these theories. However, understanding the properties of neutron stars within the framework of modified gravity theories requires careful consideration of the presently known uncertainty of equations of state (EoS) that describe the behavior of matter at extreme densities. In this study, we investigate three realistic EoS generated using a relativistic mean field framework, which covers the currently known uncertainties in the stiffness of neutron star matter. We then employ a Bayesian approach to statistically analyze the posterior distribution of the free parameter $\alpha$ of the $f(R)$ gravity model, specifically $f(R) = R + \alpha R^2$. By using this approach, we are able to account for our limited understanding of the interiors of neutron stars as well as the uncertainties associated with the modified gravity theory. We impose observational constraints on our analysis, including the maximum mass, and the radius of a neutron star with a mass of $1.4 M_{\odot}$ and $2.08 M_{\odot}$, which are obtained from X-ray NICER observations. By considering these constraints, we are able to robustly investigate the relationship between the $f(R)$ gravity model parameter $\alpha$ and the maximum mass of neutron stars. Our results reveal a universality relationship between the $f(R)$ gravity model parameter $\alpha$ and the maximum mass of neutron stars. This relationship provides insights into the behavior of neutron stars in modified gravity theories and helps us understand the degeneracies arising from our current limited knowledge of the interiors of neutron stars and the free parameter $\alpha$ of the modified gravity theory.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Bayesian Inference of Neutron Star Properties in $f(Q)$ Gravity Using NICER Observations

    gr-qc 2026-01 reject novelty 5.0 of 10

    Bayesian fits of f(Q) gravity to NICER data prefer an exponential model and predict neutron-star maximum masses near 2.5–3 solar masses, entering the lower mass gap.

  2. Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models

    cs.CR 2025-06 conditional novelty 5.0 of 10

    A framework for DP fine-tuning of MLLMs that prunes visual tokens before training and selectively applies noisy gradient updates to blocks with the largest norms, reporting modest utility and memory gains over DP-SGD.

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