On the statistical assumption on the distance moduli of Supernovae Ia and its impact on the determination of cosmological parameters

Dainotti, M.G.; Bargiacchi, G.; Bogdan, M.; Capozziello, S.; Nagataki, S.

doi:10.1016/j.jheap.2024.01.001

Cited by 7 publications

(2 citation statements)

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“…Indeed, Refs. [24,68,79] has proven that, as the Gaussian assumption is not satisfied, the commonly used Gaussian likelihood is not the appropriate likelihood to be applied for cosmological applications of SNe Ia of Pantheon and Pantheon + samples, the whole QSO sample of [40], and BAO, and that adopting the correct likelihood is crucial to reduce the uncertainties on cosmological parameters. Thus, following these works, we have checked the normality assumption for our final QSO samples uncovering that it is verified by the sample of 1065 QSOs, while it is not fulfilled by the sample of 1132 sources.…”

Section: Cosmological Fitmentioning

confidence: 99%

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The Scavenger Hunt for Quasar Samples to Be Used as Cosmological Tools

Dainotti,

Bargiacchi,

Lenart

et al. 2024

Galaxies

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Although the Λ Cold Dark Matter model is the most accredited cosmological model, information at high redshifts (z) between type Ia supernovae (z=2.26) and the Cosmic Microwave Background (z=1100) is crucial to validate this model further. To this end, we have discovered a sample of 1132 quasars up to z=7.54 exhibiting a reduced intrinsic dispersion of the relation between ultraviolet and X-ray fluxes, δF=0.22 vs. δF=0.29 (24% less), than the original sample. This gold sample, once we correct the luminosities for selection biases and redshift evolution, enables us to determine the matter density parameter ΩM with a precision of 0.09. Unprecedentedly, this quasar sample is the only one that, as a standalone cosmological probe, yields such tight constraints on ΩM while being drawn from the same parent population of the initial sample.

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Section: Cosmological Fitmentioning

confidence: 99%

“…An important property of this test is that it can identify any small deviation from normality. We refer to [68] for a detailed description of the features of this test and its application to cosmological likelihoods. The Anderson-Darling two-sample test instead allows us to verify if the selected sample is still drawn from the original one.…”

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confidence: 99%