scholarly journals Inclusive and exclusive electron scattering data analysis from Jefferson Lab experiment E12-14-012

2021 ◽  
Author(s):  
Matthew Murphy
Keyword(s):  
Data Analysis ◽  
Electron Scattering ◽  
Scattering Data ◽  
Lab Experiment ◽  
Jefferson Lab

scholarly journals Global Small-Angle X-ray Scattering Data Analysis of Triacylglycerols in the Molten State (Part I)

2018 ◽  
Vol 122 (45) ◽  
pp. 10320-10329 ◽  
Author(s):  
Amin Sadeghpour ◽  
Marjorie Ladd Parada ◽  
Josélio Vieira ◽  
Megan Povey ◽  
Michael Rappolt
Keyword(s):  
Data Analysis ◽  
Small Angle ◽  
Scattering Data ◽  
Molten State ◽  
X Ray ◽  
X Ray Scattering ◽  
Ray Scattering

scholarly journals Small Angle Scattering Data Analysis Assisted by Machine Learning Methods

MRS Advances ◽  
2020 ◽  
Vol 5 (29-30) ◽  
pp. 1577-1584
Author(s):  
Changwoo Do ◽  
Wei-Ren Chen ◽  
Sangkeun Lee
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Small Angle ◽  
Confusion Matrix ◽  
Small Angle Scattering ◽  
Scattering Data ◽  
Search Spaces ◽  
Angle Scattering ◽  
Analysis Workflow ◽  
The Right

ABSTRACTSmall angle scattering (SAS) is a widely used technique for characterizing structures of wide ranges of materials. For such wide ranges of applications of SAS, there exist a large number of ways to model the scattering data. While such analysis models are often available from various suites of SAS data analysis software packages, selecting the right model to start with poses a big challenge for beginners to SAS data analysis. Here, we present machine learning (ML) methods that can assist users by suggesting scattering models for data analysis. A series of one-dimensional scattering curves have been generated by using different models to train the algorithms. The performance of the ML method is studied for various types of ML algorithms, resolution of the dataset, and the number of the dataset. The degree of similarities among selected scattering models is presented in terms of the confusion matrix. The scattering model suggestions with prediction scores provide a list of scattering models that are likely to succeed. Therefore, if implemented with extensive libraries of scattering models, this method can speed up the data analysis workflow by reducing search spaces for appropriate scattering models.

Solution to the proton radius puzzle

2014 ◽  
Vol 23 (12) ◽  
pp. 1450090 ◽  
Author(s):  
D. Robson
Keyword(s):  
Form Factor ◽  
Electron Scattering ◽  
Charge Radius ◽  
Rest Frame ◽  
Muonic Hydrogen ◽  
Electric Form Factor ◽  
Scattering Data ◽  
Proton Radius ◽  
Proton Charge Radius ◽  
Proton Radius Puzzle

The relationship between the static electric form factor for the proton in the rest frame and the Sachs electric form factor in the Breit momentum frame is used to provide a value for the difference in the mean squared charge radius of the proton evaluated in the two frames. Associating the muonic–hydrogen data analysis for the proton charge radius of 0.84087 fm with the rest frame and associating the electron scattering data with the Breit frame yields a prediction of 0.87944 fm for the proton radius in the relativistic frame. The most recent value deduced via electron scattering from the proton is 0.877(6) fm so that the frame dependence used here yields a plausible solution to the proton radius puzzle.

Optical Constants and Inelastic Electron-Scattering Data for 17 Elemental Metals

2009 ◽  
Vol 38 (4) ◽  
pp. 1013-1092 ◽  
Author(s):  
Wolfgang S. M. Werner ◽  
Kathrin Glantschnig ◽  
Claudia Ambrosch-Draxl
Keyword(s):  
Electron Scattering ◽  
Optical Constants ◽  
Scattering Data ◽  
Inelastic Electron ◽  
Inelastic Electron Scattering

Small-angle scattering data analysis for dense polydisperse systems: the FLAC program

2000 ◽  
Vol 133 (1) ◽  
pp. 66-75 ◽  
Author(s):  
Flavio Carsughi ◽  
Achille Giacometti ◽  
Domenico Gazzillo
Keyword(s):  
Data Analysis ◽  
Small Angle ◽  
Small Angle Scattering ◽  
Scattering Data ◽  
Angle Scattering

scholarly journals Precise determination of the proton magnetic radius from electron scattering data

2020 ◽  
Vol 102 (3) ◽  
Author(s):  
J. M. Alarcón ◽  
D. W. Higinbotham ◽  
C. Weiss
Keyword(s):  
Electron Scattering ◽  
Precise Determination ◽  
Scattering Data

scholarly journals The Small-Angle Neutron Scattering Data Analysis of the Phospholipid Transport Nanosystem Structure

2018 ◽  
Vol 1023 ◽  
pp. 012017 ◽  
Author(s):  
E.V. Zemlyanaya ◽  
M.A. Kiselev ◽  
E.I. Zhabitskaya ◽  
V.L. Aksenov ◽  
O.M. Ipatova ◽  
...  
Keyword(s):  
Data Analysis ◽  
Neutron Scattering ◽  
Small Angle ◽  
Small Angle Neutron Scattering ◽  
Scattering Data ◽  
Phospholipid Transport
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