{"title":"Investigating the Evolution of Amati Parameters with Redshift","authors":"Meghendra Singh, Darshan Singh, Kanhaiya Lal Pandey, Dinkar Verma, Shashikant Gupta","doi":"10.1088/1674-4527/ad0fd5","DOIUrl":null,"url":null,"abstract":"Gamma-ray bursts (GRBs) are among the brightest objects in the Universe and, hence, can be observed up to a very high redshift. Properly calibrated empirical correlations between intensity and spectral correlations of GRBs can be used to estimate the cosmological parameters. However, the possibility of the evolution of GRBs with redshift is a long-standing puzzle. In this work, we used 162 long-duration GRBs to determine whether GRBs below and above a certain redshift have different properties. The GRBs are split into two groups, and we fit the Amati relation for each group separately. Our findings demonstrate that estimations of the Amati parameters for the two groups are substantially dissimilar. We perform simulations to investigate whether the selection effects could cause the difference. Our analysis shows that the differences may be either intrinsic or due to systematic errors in the data, and the selection effects are not their true origin. However, in-depth analysis with a new data set comprised of 119 long GRBs shows that intrinsic scatter may partly be responsible for such effects.","PeriodicalId":54494,"journal":{"name":"Research in Astronomy and Astrophysics","volume":"30 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Astronomy and Astrophysics","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1088/1674-4527/ad0fd5","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
Gamma-ray bursts (GRBs) are among the brightest objects in the Universe and, hence, can be observed up to a very high redshift. Properly calibrated empirical correlations between intensity and spectral correlations of GRBs can be used to estimate the cosmological parameters. However, the possibility of the evolution of GRBs with redshift is a long-standing puzzle. In this work, we used 162 long-duration GRBs to determine whether GRBs below and above a certain redshift have different properties. The GRBs are split into two groups, and we fit the Amati relation for each group separately. Our findings demonstrate that estimations of the Amati parameters for the two groups are substantially dissimilar. We perform simulations to investigate whether the selection effects could cause the difference. Our analysis shows that the differences may be either intrinsic or due to systematic errors in the data, and the selection effects are not their true origin. However, in-depth analysis with a new data set comprised of 119 long GRBs shows that intrinsic scatter may partly be responsible for such effects.
伽马射线暴(GRB)是宇宙中最亮的天体之一,因此可以观测到很高的红移。经适当校准的伽马射线暴强度和光谱相关性之间的经验相关性可用来估算宇宙学参数。然而,GRB随红移演化的可能性是一个长期存在的谜题。在这项工作中,我们利用 162 个长持续时间 GRB 来确定低于和高于某一红移的 GRB 是否具有不同的性质。GRB被分成两组,我们分别拟合了每组的阿马蒂关系。我们的研究结果表明,两组的阿马蒂参数估计结果大相径庭。我们进行了模拟,研究选择效应是否会导致这种差异。我们的分析表明,差异可能是内在的,也可能是由于数据的系统误差造成的,选择效应并不是其真正的根源。然而,利用由 119 个长 GRB 组成的新数据集进行的深入分析表明,内在散射可能是造成这种效应的部分原因。
期刊介绍:
Research in Astronomy and Astrophysics (RAA) is an international journal publishing original research papers and reviews across all branches of astronomy and astrophysics, with a particular interest in the following topics:
-large-scale structure of universe formation and evolution of galaxies-
high-energy and cataclysmic processes in astrophysics-
formation and evolution of stars-
astrogeodynamics-
solar magnetic activity and heliogeospace environments-
dynamics of celestial bodies in the solar system and artificial bodies-
space observation and exploration-
new astronomical techniques and methods