Easing the Hubble Tension in <i>f</i>(<i>R</i>,<i>L</i><sub>m</sub>) Gravity: A Bayesian MCMC Analysis with CC and Pantheon Plus & SH0ES Datasets

Archana Dixit, Saurabh Verma, Anirudh Pradhan, M. S. Barak

Open source

DOI
10.3390/universe12030066
Published
02
Container
Universe
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/universe12030066,
  title = {Easing the Hubble Tension in <i>f</i>(<i>R</i>,<i>L</i><sub>m</sub>) Gravity: A Bayesian MCMC Analysis with CC and Pantheon Plus \& SH0ES Datasets},
  author = {Archana Dixit and Saurabh Verma and Anirudh Pradhan and M. S. Barak},
  year = {2026},
  journal = {Universe},
  doi = {10.3390/universe12030066},
  url = {https://doi.org/10.3390/universe12030066}
}

RIS

TY  - JOUR
TI  - Easing the Hubble Tension in <i>f</i>(<i>R</i>,<i>L</i><sub>m</sub>) Gravity: A Bayesian MCMC Analysis with CC and Pantheon Plus & SH0ES Datasets
AU  - Archana Dixit
AU  - Saurabh Verma
AU  - Anirudh Pradhan
AU  - M. S. Barak
PY  - 2026
JO  - Universe
DO  - 10.3390/universe12030066
UR  - https://doi.org/10.3390/universe12030066
ER  - 

APA

Dixit, A., Verma, S., Pradhan, A., & Barak, M. S. (2026). Easing the Hubble Tension in <i>f</i>(<i>R</i>,<i>L</i><sub>m</sub>) Gravity: A Bayesian MCMC Analysis with CC and Pantheon Plus & SH0ES Datasets. Universe. https://doi.org/10.3390/universe12030066

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