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@INPROCEEDINGS{Robledo:910115,
author = {Robledo, Jose Ignacio and Lieutenant, Klaus},
title = {{V}irtual {E}xperiments combined with {M}achine {L}earning
to improve {D}ata {E}valuation of {SANS} measurements},
reportid = {FZJ-2022-03623},
year = {2022},
abstract = {In this work we present our research line that has begun as
part of the “Global Neutron Scientist” (GneuS) call N.º
1 this year. We present our strategy to combine virtual
experiments with Machine Learning (ML) techniques to improve
the data evaluation procedure in Small Angle Neutron
Scattering (SANS) experiments. In particular, we describe
the virtual experiments we are planning to do at a SANS
instrument at MLZ with the VITESS software [1] to create a
training database for ML algorithms, and we discuss
aproposed first step exploratory analysis to the generated
data using Multivariate Statistical methodologies. This
analysis will give insight to the adequate ML algorithms
that we will explore. [1] C. Zendler, K. Lieutenant, D.
Nekrassov, M. Fromme, Vitess 3 – Virtual Instrumentation
Tool for the European Spallation, J. Phys. Conf. Ser. 528
(2014) 012036.},
month = {Oct},
date = {2022-10-11},
organization = {JCNS WORKSHOP 2022 TRENDS AND
PERSPECTIVES IN NEUTRON SCATTERING:
EXPERIMENTS AND DATA ANALYSIS IN THE
DIGITAL AGE, Evangelische Akademie
Tutzing (Germany), 11 Oct 2022 - 14 Oct
2022},
subtyp = {Invited},
cin = {JCNS-2 / PGI-4 / JARA-FIT},
cid = {I:(DE-Juel1)JCNS-2-20110106 / I:(DE-Juel1)PGI-4-20110106 /
$I:(DE-82)080009_20140620$},
pnm = {632 - Materials – Quantum, Complex and Functional
Materials (POF4-632) / 6G4 - Jülich Centre for Neutron
Research (JCNS) (FZJ) (POF4-6G4)},
pid = {G:(DE-HGF)POF4-632 / G:(DE-HGF)POF4-6G4},
typ = {PUB:(DE-HGF)24},
url = {https://juser.fz-juelich.de/record/910115},
}