Method of determining cosmological parameter ranges with samples of candles with an intrinsic distribution

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dc.creatorQin, Yi-Ping
dc.creatorZhang, Bin-Bin
dc.creatorDong, Yun-Ming
dc.creatorZhang, Fu-Wen
dc.creatorLi, Huai-Zhen
dc.creatorJia, Lan-Wei
dc.creatorMao, Li-Sheng
dc.creatorLu, Rui-Jing
dc.creatorYi, Ting-Feng
dc.creatorCui, Xiao-Hong
dc.creatorZhang, Zhi-Bin
dc.date2005-02-18
dc.date2005-11-27
dc.date.accessioned2026-07-07T10:43:13Z
dc.date.available2026-07-07T10:43:13Z
dc.descriptionIn this paper, the effect of the intrinsic distribution of cosmological candles is investigated. We find that, in the case of a narrow distribution, the deviation of the observed modulus of sources from the expected central value could be estimated within a ceratin range. We thus introduce a lower and upper limits of $χ^{2}$, $χ_{\min}^{2}$ and $ χ_{\max}^{2}$, to estimate cosmological parameters by applying the conventional minimizing $χ^{2}$ method. We apply this method to a gamma-ray burst (GRB) sample as well as to a combined sample including this GRB sample and an SN Ia sample. Our analysis shows that: a) in the case of assuming an intrinsic distribution of candles of the GRB sample, the effect of the distribution is obvious and should not be neglected; b) taking into account this effect would lead to a poorer constraint of the cosmological parameter ranges. The analysis suggests that in the attempt of constraining the cosmological model with current GRB samples, the results tend to be worse than what previously thought if the mentioned intrinsic distribution does exist.
dc.description6 pages,4 figures,1 tables.Data updated. Main conclusion unchanged
dc.identifierhttps://arxiv.org/abs/astro-ph/0502373
dc.identifierhttp://arxiv.org/abs/astro-ph/0502373
dc.identifierChin.Phys.15:1645-1652,2006
dc.identifierdoi:10.1088/1009-1963/15/7/044
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/182163
dc.subjectAstrophysics
dc.titleMethod of determining cosmological parameter ranges with samples of candles with an intrinsic distribution
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