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001     1005513
005     20240529111717.0
037 _ _ |a FZJ-2023-01513
100 1 _ |a Robledo, Jose Ignacio
|0 P:(DE-Juel1)195622
|b 0
|u fzj
111 2 _ |a Eighth European Conference on Neutron Scattering
|g ECNS 2023
|c TUM Department of Mechanical Engineering and the new Science Congress Center Munich
|d 2023-03-19 - 2023-03-23
|w Germany
245 _ _ |a Automated grouping of spatially distributed detectors in neutron time-of-flight experiments based on multivariate similarity
260 _ _ |c 2023
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a CONFERENCE_POSTER
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336 7 _ |a Output Types/Conference Poster
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336 7 _ |a Poster
|b poster
|m poster
|0 PUB:(DE-HGF)24
|s 1679317233_12909
|2 PUB:(DE-HGF)
|x Invited
520 _ _ |a Nowadays, in neutron time of flight measurements, there are experimental setups in which many detectors record data during a single experiment. It is usually desirable to be able to sum several spectra in order to increase counting statistics, and therefore decrease uncertainties, for further analysis. A problem arises in time-of-flight experiments when the available spectra are acquired with a set of spatially distributed detectors, each forming a different source-sample-detector angle and at different sample-detector distances. Since these spectra record the neutron’s time of flight after scattering, and the neutron scattering depends on the Q vector, then these spectra are not arbitrarily summable. In this work, we propose an automated methodology for wisely adding spectra based on their multivariate similarity by means of machine learning techniques, such as k nearest neighbors combined with T-distributed Stochastic Neighbor Embedding (t-SNE). We exemplify it in the effective temperature determination of hydrogen in ethane and triphenylmethane samples by means of Deep Inelastic Neutron Scattering, measured at the VESUVIO spectrometer (ISIS facility, UK). The proposed methodology can be applied in other time-of-flight experiments, in which detectors located at different angles record complete spectra, and with this method their degree of compatibility can be determined.
536 _ _ |a 632 - Materials – Quantum, Complex and Functional Materials (POF4-632)
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|c POF4-632
|f POF IV
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536 _ _ |a 6G4 - Jülich Centre for Neutron Research (JCNS) (FZJ) (POF4-6G4)
|0 G:(DE-HGF)POF4-6G4
|c POF4-6G4
|f POF IV
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700 1 _ |a Cantargi, Florencia
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Dawidowski, Javier
|0 P:(DE-HGF)0
|b 2
909 C O |o oai:juser.fz-juelich.de:1005513
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
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|6 P:(DE-Juel1)195622
913 1 _ |a DE-HGF
|b Forschungsbereich Materie
|l Von Materie zu Materialien und Leben
|1 G:(DE-HGF)POF4-630
|0 G:(DE-HGF)POF4-632
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|2 G:(DE-HGF)POF4-600
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|v Materials – Quantum, Complex and Functional Materials
|x 0
913 1 _ |a DE-HGF
|b Forschungsbereich Materie
|l Großgeräte: Materie
|1 G:(DE-HGF)POF4-6G0
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|v Jülich Centre for Neutron Research (JCNS) (FZJ)
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914 1 _ |y 2023
920 1 _ |0 I:(DE-Juel1)JCNS-2-20110106
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920 1 _ |0 I:(DE-Juel1)PGI-4-20110106
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920 1 _ |0 I:(DE-82)080009_20140620
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980 _ _ |a poster
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JCNS-2-20110106
980 _ _ |a I:(DE-Juel1)PGI-4-20110106
980 _ _ |a I:(DE-82)080009_20140620
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)JCNS-2-20110106

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