scholarly journals Efficient data extraction from neutron time-of-flight spin-echo raw data

2019 ◽  
Vol 52 (5) ◽  
pp. 1022-1034 ◽  
Author(s):  
P. A. Zolnierczuk ◽  
O. Holderer ◽  
S. Pasini ◽  
T. Kozielewski ◽  
L. R. Stingaciu ◽  
...  

Neutron spin-echo spectrometers with a position-sensitive detector and operating with extended time-of-flight-tagged wavelength frames are able to collect a comprehensive set of data covering a large range of wavevector and Fourier time space with only a few instrumental settings in a quasi-continuous way. Extracting all the information contained in the raw data and mapping them to a suitable physical space in the most efficient way is a challenge. This article reports algorithms employed in dedicated software, DrSpine (data reduction for spin echo), that achieves this goal and yields reliable representations of the intermediate scattering function S(Q, t) independent of the selected `binning'.

Author(s):  
Vitalii Kuznetsov ◽  
Wiebke Lohstroh ◽  
Detlef Rogalla ◽  
Hans-Werner Becker ◽  
Thomas Strunskus ◽  
...  

Neutron time-of-flight and spin-echo spectroscopy reveal a fast diffusion of hydrogen molecules parallel to the MoS2 basal planes.


Author(s):  
C. Pappas ◽  
A. Triolo ◽  
F. Mezei ◽  
R. Kischnik ◽  
G. Kali

2018 ◽  
Vol 1021 ◽  
pp. 012040 ◽  
Author(s):  
S.R. Parnell ◽  
R.M. Dalgliesh ◽  
N.J. Steinke ◽  
J. Plomp ◽  
A.A. Van Well

1991 ◽  
Vol 174 (1-4) ◽  
pp. 528-531 ◽  
Author(s):  
A. Kollmar ◽  
A. Seeger ◽  
W. Schalt ◽  
H. Thyssen

2005 ◽  
Vol 105 ◽  
pp. 67-70 ◽  
Author(s):  
Kurt Walther ◽  
Alexander Frischbutter ◽  
Christian Scheffzük ◽  
M. Korobshenko ◽  
F. Levshanovski ◽  
...  

This paper describes the modernized diffractometer EPSILON-MDS for strain measurements of geological samples by means of neutron diffraction with the time-of-flight method. The diffractometer is characterized by a long flight path in order to get a good spectral resolution and by a multi-detector system for efficient data acquisition.


2021 ◽  
Vol 8 ◽  
Author(s):  
Ingo Hoffmann

With the constantly improving performance of neutron spin echo (NSE) spectrometers it becomes possible to perform measurements on increasingly complex samples and to study more and more delicate effects. To properly study such effects, proper background correction becomes increasingly important. In this paper, we will review different methods to subtract the buffer from NSE measurements and study the effect of small errors in the subtraction of the background. In the large dynamic range of modern neutron spin-echo spectrometers multiple effects become visible in a single measurement. Specifically, for vesicles both membrane undulations and translational diffusion have an effect on the intermediate scattering function in the NSE time window and here, we will investigate how taking this into account differently affects the results obtained from data analysis.


2021 ◽  
Vol 13 (6) ◽  
pp. 151
Author(s):  
Josué Padilla-Cuevas ◽  
José A. Reyes-Ortiz ◽  
Maricela Bravo

An Ambient Intelligence responds to user requests based on several contexts. A relevant context is related to what has happened in the ambient; therefore, it focuses a primordial interest on events. These involve information about time, space, or people, which is significant for modeling the context. In this paper, we propose an event-driven approach for context representation based on an ontological model. This approach is extendable and adaptable for academic domains. Moreover, the ontological model to be proposed is used in reasoning and enrichment processes with the context event information. Our event-driven approach considers five contexts as a modular perspective in the model: Person, temporal (time), physical space (location), network (resources to acquire data from the ambient), and academic events. We carried out an evaluation process for the approach based on an ontological model focused on (a) the extensibility and adaptability of use case scenarios for events in an academic environment, (b) the level of reasoning by using competence questions related to events, (c) and the consistency and coherence in the proposed model. The evaluation process shows promising results for our event-driven approach for context representation based on the ontological model.


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