{"title":"Geometric analysis of variability of radiocarbon abundances and solar activity","authors":"Isao Shoji , Tadafumi Takata , Yoshihiko Mizumoto","doi":"10.1016/j.ascom.2025.100971","DOIUrl":null,"url":null,"abstract":"<div><div>This paper discusses a geometric time series analysis of variability of radiocarbon abundances and solar activity. Cosmic rays sometimes have a severe impact on the Earth’s environment. They interact with atoms in the atmosphere, producing radionuclides such as radiocarbon. Consequently, the ratio of radiocarbon to stable carbon in the atmosphere fluctuates on the basis of the influx of cosmic rays. Consequently, historical records of radiocarbon abundances show the intensity of cosmic rays in the past. The International Calibration (IntCal) curve widely used for radiocarbon dating is also used as a reference for such records. From a statistical point of view, detecting rapid changes in radiocarbon abundances, which are considered indicators of intense cosmic rays, from the IntCal data is challenging because such variations are generally smoothed out during the calibration process. However, in this study, we used a geometric time series analysis method to identify several rapid changes directly from the IntCal data. These variations in radiocarbon abundances also serve as indicators of solar activity. We also detected signals corresponding to solar grand minima and grand maxima by correlating them with temporal changes in the vector field derived from the dynamical system characterized by a second-order random oscillation.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"53 ","pages":"Article 100971"},"PeriodicalIF":1.9000,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Astronomy and Computing","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213133725000447","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper discusses a geometric time series analysis of variability of radiocarbon abundances and solar activity. Cosmic rays sometimes have a severe impact on the Earth’s environment. They interact with atoms in the atmosphere, producing radionuclides such as radiocarbon. Consequently, the ratio of radiocarbon to stable carbon in the atmosphere fluctuates on the basis of the influx of cosmic rays. Consequently, historical records of radiocarbon abundances show the intensity of cosmic rays in the past. The International Calibration (IntCal) curve widely used for radiocarbon dating is also used as a reference for such records. From a statistical point of view, detecting rapid changes in radiocarbon abundances, which are considered indicators of intense cosmic rays, from the IntCal data is challenging because such variations are generally smoothed out during the calibration process. However, in this study, we used a geometric time series analysis method to identify several rapid changes directly from the IntCal data. These variations in radiocarbon abundances also serve as indicators of solar activity. We also detected signals corresponding to solar grand minima and grand maxima by correlating them with temporal changes in the vector field derived from the dynamical system characterized by a second-order random oscillation.
Astronomy and ComputingASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.10
自引率
8.00%
发文量
67
期刊介绍:
Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.