{"title":"利用双树复小波变换对超快电子粉末衍射数据进行基线去除的一般方法","authors":"L. P. René de Cotret, B. Siwick","doi":"10.1063/1.4972518","DOIUrl":null,"url":null,"abstract":"The general problem of background subtraction in ultrafast electron powder diffraction (UEPD) is presented with a focus on the diffraction patterns obtained from materials of moderately complex structure which contain many overlapping peaks and effectively no scattering vector regions that can be considered exclusively background. We compare the performance of background subtraction algorithms based on discrete and dual-tree complex (DTCWT) wavelet transforms when applied to simulated UEPD data on the M1–R phase transition in VO2 with a time-varying background. We find that the DTCWT approach is capable of extracting intensities that are accurate to better than 2% across the whole range of scattering vector simulated, effectively independent of delay time. A Python package is available.","PeriodicalId":48683,"journal":{"name":"Structural Dynamics-Us","volume":"4 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2016-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1063/1.4972518","citationCount":"13","resultStr":"{\"title\":\"A general method for baseline-removal in ultrafast electron powder diffraction data using the dual-tree complex wavelet transform\",\"authors\":\"L. P. René de Cotret, B. Siwick\",\"doi\":\"10.1063/1.4972518\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The general problem of background subtraction in ultrafast electron powder diffraction (UEPD) is presented with a focus on the diffraction patterns obtained from materials of moderately complex structure which contain many overlapping peaks and effectively no scattering vector regions that can be considered exclusively background. We compare the performance of background subtraction algorithms based on discrete and dual-tree complex (DTCWT) wavelet transforms when applied to simulated UEPD data on the M1–R phase transition in VO2 with a time-varying background. We find that the DTCWT approach is capable of extracting intensities that are accurate to better than 2% across the whole range of scattering vector simulated, effectively independent of delay time. A Python package is available.\",\"PeriodicalId\":48683,\"journal\":{\"name\":\"Structural Dynamics-Us\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2016-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1063/1.4972518\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Structural Dynamics-Us\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.1063/1.4972518\",\"RegionNum\":2,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Structural Dynamics-Us","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1063/1.4972518","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
A general method for baseline-removal in ultrafast electron powder diffraction data using the dual-tree complex wavelet transform
The general problem of background subtraction in ultrafast electron powder diffraction (UEPD) is presented with a focus on the diffraction patterns obtained from materials of moderately complex structure which contain many overlapping peaks and effectively no scattering vector regions that can be considered exclusively background. We compare the performance of background subtraction algorithms based on discrete and dual-tree complex (DTCWT) wavelet transforms when applied to simulated UEPD data on the M1–R phase transition in VO2 with a time-varying background. We find that the DTCWT approach is capable of extracting intensities that are accurate to better than 2% across the whole range of scattering vector simulated, effectively independent of delay time. A Python package is available.
Structural Dynamics-UsCHEMISTRY, PHYSICALPHYSICS, ATOMIC, MOLECU-PHYSICS, ATOMIC, MOLECULAR & CHEMICAL
CiteScore
5.50
自引率
3.60%
发文量
24
审稿时长
16 weeks
期刊介绍:
Structural Dynamics focuses on the recent developments in experimental and theoretical methods and techniques that allow a visualization of the electronic and geometric structural changes in real time of chemical, biological, and condensed-matter systems. The community of scientists and engineers working on structural dynamics in such diverse systems often use similar instrumentation and methods.
The journal welcomes articles dealing with fundamental problems of electronic and structural dynamics that are tackled by new methods, such as:
Time-resolved X-ray and electron diffraction and scattering,
Coherent diffractive imaging,
Time-resolved X-ray spectroscopies (absorption, emission, resonant inelastic scattering, etc.),
Time-resolved electron energy loss spectroscopy (EELS) and electron microscopy,
Time-resolved photoelectron spectroscopies (UPS, XPS, ARPES, etc.),
Multidimensional spectroscopies in the infrared, the visible and the ultraviolet,
Nonlinear spectroscopies in the VUV, the soft and the hard X-ray domains,
Theory and computational methods and algorithms for the analysis and description of structuraldynamics and their associated experimental signals.
These new methods are enabled by new instrumentation, such as:
X-ray free electron lasers, which provide flux, coherence, and time resolution,
New sources of ultrashort electron pulses,
New sources of ultrashort vacuum ultraviolet (VUV) to hard X-ray pulses, such as high-harmonic generation (HHG) sources or plasma-based sources,
New sources of ultrashort infrared and terahertz (THz) radiation,
New detectors for X-rays and electrons,
New sample handling and delivery schemes,
New computational capabilities.