{"title":"Variable Chaplygin gas: Constraining parameters using FRBs","authors":"Geetanjali Sethi, Udish Sharma, Nadia Makhijani","doi":"10.1007/s10509-024-04306-6","DOIUrl":null,"url":null,"abstract":"<div><p>We investigate cosmological constraints on the Variable Chaplygin gas model parameters with latest observational data of the Fast Radio Bursts and compare the results with previous constraints obtained using SNe Ia (Pantheon+SHOES), Gamma Ray Bursts, Baryon Acoustic Oscillations and Hubble parameter observational data. The Variable Chaplygin gas model is shown to be compatible with these datasets. We have obtained tighter constraints on model parameters <span>\\(B_{s}\\)</span> and <span>\\(n\\)</span>, using the FRB data set. By using the Markov chain Monte Carlo (MCMC) method we obtain, <span>\\(B_{s}\\)</span>=<span>\\(0.18\\pm 0.10\\)</span>, <span>\\(n=1.10\\pm 1.15\\)</span> and <span>\\(H_{0}\\)</span>= <span>\\(70.46\\pm 0.66\\)</span> with the SNe Ia data set, <span>\\(B_{s}\\)</span>= <span>\\(0.09\\pm 0.06\\)</span>, <span>\\(n= 0.44\\pm 0.89 \\)</span> and <span>\\(H_{0}=70.57\\pm 0.64 \\)</span> with the FRB data set, <span>\\(B_{s}\\)</span>=<span>\\(0.16\\pm 0.11\\)</span>, <span>\\(n=1.06\\pm 1.25\\)</span> and <span>\\(H_{0}\\)</span>= <span>\\(70.37\\pm 0.65\\)</span> with the BAO data set, <span>\\(B_{s}\\)</span>=<span>\\(0.05\\pm 0.000\\)</span>, <span>\\(n=1.46\\pm 0.23\\)</span> and <span>\\(H_{0}\\)</span>= <span>\\(70.21\\pm 0.57\\)</span> with the H(z) data set and <span>\\(B_{s}\\)</span>=<span>\\(0.20\\pm 0.11\\)</span>, <span>\\(n=1.25\\pm 1.17\\)</span> and <span>\\(H_{0}\\)</span>= <span>\\(70.37\\pm 0.64\\)</span> with the GRB data set. A good agreement for <span>\\(H_{0}\\)</span> is observed from these data sets.</p></div>","PeriodicalId":8644,"journal":{"name":"Astrophysics and Space Science","volume":"369 4","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Astrophysics and Space Science","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s10509-024-04306-6","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
We investigate cosmological constraints on the Variable Chaplygin gas model parameters with latest observational data of the Fast Radio Bursts and compare the results with previous constraints obtained using SNe Ia (Pantheon+SHOES), Gamma Ray Bursts, Baryon Acoustic Oscillations and Hubble parameter observational data. The Variable Chaplygin gas model is shown to be compatible with these datasets. We have obtained tighter constraints on model parameters \(B_{s}\) and \(n\), using the FRB data set. By using the Markov chain Monte Carlo (MCMC) method we obtain, \(B_{s}\)=\(0.18\pm 0.10\), \(n=1.10\pm 1.15\) and \(H_{0}\)= \(70.46\pm 0.66\) with the SNe Ia data set, \(B_{s}\)= \(0.09\pm 0.06\), \(n= 0.44\pm 0.89 \) and \(H_{0}=70.57\pm 0.64 \) with the FRB data set, \(B_{s}\)=\(0.16\pm 0.11\), \(n=1.06\pm 1.25\) and \(H_{0}\)= \(70.37\pm 0.65\) with the BAO data set, \(B_{s}\)=\(0.05\pm 0.000\), \(n=1.46\pm 0.23\) and \(H_{0}\)= \(70.21\pm 0.57\) with the H(z) data set and \(B_{s}\)=\(0.20\pm 0.11\), \(n=1.25\pm 1.17\) and \(H_{0}\)= \(70.37\pm 0.64\) with the GRB data set. A good agreement for \(H_{0}\) is observed from these data sets.
我们利用最新的快速射电暴观测数据研究了可变查普里金气体模型参数的宇宙学约束,并将结果与以前利用SNe Ia(Pantheon+SHOES)、伽马射线暴、重子声学振荡和哈勃参数观测数据获得的约束进行了比较。变查普里金气体模型与这些数据集是兼容的。我们利用 FRB 数据集获得了对模型参数 \(B_{s}\) 和 \(n\) 的更严格约束。通过使用马尔科夫链蒙特卡洛(MCMC)方法,我们得到:\(B_{s}\)=\(0.18\pm 0.10\), \(n=1.10\pm 1.15\) and \(H_{0}\)=\(70.46\pm 0.66) with the SNe Ia data set, \(B_{s}\)=\(0.09\pm 0.06\), \(n= 0.44\pm 0.89\) and\(H_{0}=70.57\pm 0.64\) with the FRB data set, \(B_{s}\)=\(0.16\pm 0.用 BAO 数据集,\(B_{s}\)=\(0.05\pm 0.000\), \(n=1.46\pm 0.23\) and\(H_{0}\)= \(70.和 GRB 数据集的(B_{s}\)=\(0.20\pm 0.11\), (n=1.25\pm 1.17\) 和 (H_{0}\)=\(70.37\pm 0.64\).从这些数据集中观察到了\(H_{0}\)的良好一致性。
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