Determination of Cosmological Parameters with a Sample of Quasars
- Авторлар: Beltramonte T.1, Benedetto E.1, Feoli A.1, Greco L.2, Zollo M.L.1
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Мекемелер:
- Dipartimento di Ingegneria
- Dipartimento di Diritto, Economia, Management e Metodi Quantitativi
- Шығарылым: Том 62, № 3 (2018)
- Беттер: 155-161
- Бөлім: Article
- URL: https://journals.rcsi.science/1063-7729/article/view/191487
- DOI: https://doi.org/10.1134/S1063772918030022
- ID: 191487
Дәйексөз келтіру
Аннотация
We use a sample of 808 quasars selected by Risaliti and Lusso to estimate two important cosmological parameters: the percentage of matter in the Universe Ωm and the Hubble constant. The method is based on an auxiliary experimental correlation between the luminosity of quasars in the Xray band and UV band in the form log LX = β + γ log LUV. For the flat ΛCDM model our fit gives Ωm = 0.21 ± 0.12. Our main results are the following: firstly, the fraction of matter (baryonic + dark) contained in the Universe is 21% according to our estimate and is smaller than the one found by other authors using Type Ia Supernovae (though, considering the large error, our result is consistent with the supernova data). Secondly, the Einstein–de Sitter model is outside the 95% confidence interval of our best fit curve. In order to determine also the Hubble constant, we were compelled to fix one of the free parameters (β, γ,H0,Ωm) and to determine the others with the non-linear least square method. We have proceeded in two different ways. Increasing h0 = H0/100 with a step of 0.01 in the range from 0.65 to 0.95, we obtain a Hubble constant H0 = 74.6± 2.4 (km/s)/Mpc in agreement with the values found using CMB, supernovae and cepheids. On the other hand, increasing the parameter m = β/γ with a step of 0.03 in the range from 13.4 to 14.4, we obtain the same result (but with a greater statistical error), and hence a self-consistentmodel, only assuming β ≥ 8.21.
Авторлар туралы
T. Beltramonte
Dipartimento di Ingegneria
Хат алмасуға жауапты Автор.
Email: tbeltram@unisannio.it
Италия, Benevento
E. Benedetto
Dipartimento di Ingegneria
Email: tbeltram@unisannio.it
Италия, Benevento
A. Feoli
Dipartimento di Ingegneria
Email: tbeltram@unisannio.it
Италия, Benevento
L. Greco
Dipartimento di Diritto, Economia, Management e Metodi Quantitativi
Email: tbeltram@unisannio.it
Италия, Benevento
M. Zollo
Dipartimento di Ingegneria
Email: tbeltram@unisannio.it
Италия, Benevento
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