2021
DOI: 10.48550/arxiv.2109.14512
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A search for the variation of speed of light using galaxy cluster gas mass fraction measurements

I. E. C. R. Mendonça,
Kamal Bora,
R. F. L. Holanda
et al.

Abstract: In this paper, we implement a new model-independent method to test the invariance of the speed of light c as a function of redshift, by combining the measurements of galaxy cluster gas mass fraction, H(z) from cosmic chronometers, and type-Ia supernovae (SNe Ia). In our analyses, we consider both a constant depletion factor (which corresponds to the ratio by which fgas is depleted with respect to the universal baryonic mean) and one varying with redshift. We also consider the influence of different H0 estimate… Show more

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Cited by 2 publications
(4 citation statements)
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“…On the other hand, in Ref. [53] a new method to test the invariance of c as a function of redshift combining the measurements of galaxy cluster gas mass fraction, H(z)-data from cosmic chronometers, and SNe Ia, is implemented. The analyses indicated a negligible variation of c (see more in [54] and the references therein).…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, in Ref. [53] a new method to test the invariance of c as a function of redshift combining the measurements of galaxy cluster gas mass fraction, H(z)-data from cosmic chronometers, and SNe Ia, is implemented. The analyses indicated a negligible variation of c (see more in [54] and the references therein).…”
Section: Introductionmentioning
confidence: 99%
“…Refs. [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28] in the recent literature. This is a rather controversial topic [29,30,31].…”
Section: Introductionmentioning
confidence: 99%
“…Further open problems of relativistic cosmology are the Hubble tension [47], the S8 tension [42], and discrepancies related to the distribution of cold dark matter [48]. This context opens up the possibility of analyzing the consequences of admitting varying physical constants both from theoretical side-e.g., [2,28,49,50]-and in the data-fitting or observational approach-e.g., [16,21,26,27,51,52,53].…”
Section: Introductionmentioning
confidence: 99%
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