A maximum-likelihood analysis framework for terahertz time-domain spectroscopy

J. Steven Dodge, Laleh Mohtashemi, Paul Westlund, P. Mousavi, D. Sahota
{"title":"A maximum-likelihood analysis framework for terahertz time-domain spectroscopy","authors":"J. Steven Dodge, Laleh Mohtashemi, Paul Westlund, P. Mousavi, D. Sahota","doi":"10.1109/IRMMW-THz46771.2020.9370628","DOIUrl":null,"url":null,"abstract":"We present a maximum-likelihood framework for analyzing terahertz time-domain spectroscopy measurements. This approach has several advantages other commonly-used methods, especially for evaluating goodness of fit. We also demonstrate a simple time-domain noise model that accurately describes the noise amplitude in a set of repeated measurements. These techniques are broadly applicable to material parameter estimation.","PeriodicalId":6746,"journal":{"name":"2020 45th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)","volume":"5 1","pages":"1-1"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 45th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRMMW-THz46771.2020.9370628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

We present a maximum-likelihood framework for analyzing terahertz time-domain spectroscopy measurements. This approach has several advantages other commonly-used methods, especially for evaluating goodness of fit. We also demonstrate a simple time-domain noise model that accurately describes the noise amplitude in a set of repeated measurements. These techniques are broadly applicable to material parameter estimation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
太赫兹时域光谱学的最大似然分析框架
我们提出了一个分析太赫兹时域光谱测量的最大似然框架。该方法具有其他常用方法的优点,特别是在拟合优度评价方面。我们还演示了一个简单的时域噪声模型,该模型准确地描述了一组重复测量中的噪声幅度。这些技术广泛适用于材料参数的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Biomolecular Flexibility Characterization Using Solution Phase THz Protein Dynamical Transition 3D Aperture in THz Bull's Eye Structure for Sub-Wavelength Resolution Sensing Quality control of conductive ink distribution using terahertz spectroscopy Frequency Measurements of a Complex-Cavity Gyrotron for 400 GHz Second-Harmonic Oscillation Towards Neural Network Classification of Terahertz Measurements for Determining the Number of Coating Layers
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1