{"title":"CSIDRS - CAMECA LG SIMS 的稳定同位素数据还原软件","authors":"","doi":"10.1016/j.cageo.2024.105683","DOIUrl":null,"url":null,"abstract":"<div><p>Reduction of stable isotope data from the CAMECA LG SIMS is a vital stage in stable isotope analysis. Currently, both visual basic programs and excel spreadsheets, and other in-house programs are used for this data reduction from raw data to final δ values; uncertainty propagations have previously been carried out using the Taylor expansion method. In this paper an open-source program, CSIDRS, which uses Monte Carlo uncertainty propagation, is presented for community use and development. Two example datasets are provided and compared to previous data reduction strategies. Additionally, CSIDRS can be used for quality checking of stable isotope SIMS data.</p></div>","PeriodicalId":55221,"journal":{"name":"Computers & Geosciences","volume":null,"pages":null},"PeriodicalIF":4.2000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0098300424001663/pdfft?md5=4399948c25056847e4a24f879eb7d1c9&pid=1-s2.0-S0098300424001663-main.pdf","citationCount":"0","resultStr":"{\"title\":\"CSIDRS – stable isotope data reduction software for the CAMECA LG SIMS\",\"authors\":\"\",\"doi\":\"10.1016/j.cageo.2024.105683\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Reduction of stable isotope data from the CAMECA LG SIMS is a vital stage in stable isotope analysis. Currently, both visual basic programs and excel spreadsheets, and other in-house programs are used for this data reduction from raw data to final δ values; uncertainty propagations have previously been carried out using the Taylor expansion method. In this paper an open-source program, CSIDRS, which uses Monte Carlo uncertainty propagation, is presented for community use and development. Two example datasets are provided and compared to previous data reduction strategies. Additionally, CSIDRS can be used for quality checking of stable isotope SIMS data.</p></div>\",\"PeriodicalId\":55221,\"journal\":{\"name\":\"Computers & Geosciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0098300424001663/pdfft?md5=4399948c25056847e4a24f879eb7d1c9&pid=1-s2.0-S0098300424001663-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Geosciences\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0098300424001663\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Geosciences","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0098300424001663","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
摘要
对来自 CAMECA LG SIMS 的稳定同位素数据进行还原是稳定同位素分析的一个重要阶段。目前,从原始数据到最终δ值的数据还原使用了可视化基本程序和excel电子表格以及其他内部程序;不确定性传播以前使用泰勒扩展法进行。本文介绍了一个使用蒙特卡洛不确定性传播的开源程序 CSIDRS,供社区使用和开发。本文提供了两个示例数据集,并与之前的数据缩减策略进行了比较。此外,CSIDRS 还可用于稳定同位素 SIMS 数据的质量检查。
CSIDRS – stable isotope data reduction software for the CAMECA LG SIMS
Reduction of stable isotope data from the CAMECA LG SIMS is a vital stage in stable isotope analysis. Currently, both visual basic programs and excel spreadsheets, and other in-house programs are used for this data reduction from raw data to final δ values; uncertainty propagations have previously been carried out using the Taylor expansion method. In this paper an open-source program, CSIDRS, which uses Monte Carlo uncertainty propagation, is presented for community use and development. Two example datasets are provided and compared to previous data reduction strategies. Additionally, CSIDRS can be used for quality checking of stable isotope SIMS data.
期刊介绍:
Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.