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14–17 Mar 2022
Europe/Berlin timezone

LTP II: POWTEX: Data Reduction, Event Correlation and Machine Learning

15 Mar 2022, 14:33
13m
Talk Young crystallographers Lightning Talks Young Crystallographers Lightning Talks

Speaker

Noah Nachtigall (Solid-State and Quantum Chemistry, Institute of Inorganic Chemistry, RWTH Aachen University, Germany)

Description

While anticipating the commissioning of the high-intensity time-of-flight neutron powder-diffractometer POWTEX, great efforts were made to optimally exploit the instrument characteristics for future multidimensional Rietveld refinements. The first test data were acquired at the POWGEN instrument of the SNS (Oak Ridge National Laboratory) but using a small segment of the tailor-made POWTEX detector. The raw-data reduction was challenging, and the instrument description required careful attention, as it was a one-of-a-kind experimental set-up.
This work focuses on three selected subtopics: the optimization of raw data reduction, thereby proving the transition to an asymmetric profile description to be necessary and successful, and two additional approaches, to be addressed below.

Primary author

Noah Nachtigall (Solid-State and Quantum Chemistry, Institute of Inorganic Chemistry, RWTH Aachen University, Germany)

Co-authors

Andreas Houben (RWTH Aachen, Institut für Anorganische Chemie) Richard Dronskowski (Solid-State and Quantum Chemistry, Institute of Inorganic Chemistry, RWTH Aachen University, Germany)

Presentation materials