2023
DOI: 10.1016/j.astropartphys.2022.102761
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Do pulsar and Fast Radio Burst dispersion measures obey Benford’s law?

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Cited by 2 publications
(2 citation statements)
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“…The investigation of mantissa distribution of the pulsars revealed that digit distributions of the pulsar quantities, except for the barycentric period, conform to BL [Shao and Ma (2010)]. On the other hand, the dispersion measure of pulsars and of the fast radio bursts are found to be inconsistent with the predictions of the law [Mamidipaka and Desai (2023)]. Furthermore, a BL based analysis of the masses of 401 extra-solar planets has found about 3% exaggeration in the frequency of digit 6 than BL expected value which is attributed to the erroneous assignment of masses of 11 extra-solar planets [Sambridge et.…”
Section: Relevant Literaturementioning
confidence: 95%
“…The investigation of mantissa distribution of the pulsars revealed that digit distributions of the pulsar quantities, except for the barycentric period, conform to BL [Shao and Ma (2010)]. On the other hand, the dispersion measure of pulsars and of the fast radio bursts are found to be inconsistent with the predictions of the law [Mamidipaka and Desai (2023)]. Furthermore, a BL based analysis of the masses of 401 extra-solar planets has found about 3% exaggeration in the frequency of digit 6 than BL expected value which is attributed to the erroneous assignment of masses of 11 extra-solar planets [Sambridge et.…”
Section: Relevant Literaturementioning
confidence: 95%
“…In astronomy, Benford's law also has extensive application in all sorts of astrophysical data sets, such as light curves of variable stars and other X-ray sources (Moret et al 2006), pulsar properties (Shao & Ma 2010a), distances of galaxies and stars (Alexopoulos & Leontsinis 2014), exoplanetary and asteroid data (Shukla et al 2017;Melita & Miraglia 2021), Gaia Data Release 2 (DR2) parallaxes (de Jong et al 2020), and so on. Nevertheless, there are also some types of data, e.g., pulsar and fast radio burst dispersion measures, that do not obey Benford's law (Mamidipaka & Desai 2023).…”
Section: Introductionmentioning
confidence: 99%