Speaker
Lennart Reb
(TUM E13)
Description
Efficient reduction of 2D grazing-incidence X-ray Scattering (GIXS) data becomes more computational demanding with the increase of detector time-resolution and pixel number.
We present the In-Situ GIXS Heuristic Tool that allows for computationally efficient reduction of GIXS data, giving full access to the raw data while a first reduction can be done directly at the beamline.
Thus this tool enables a quick analysis of big in-situ and operando data sets in order to accelerate data processing.
Primary authors
Lennart Reb
(TUM E13)
Manuel Reus
(TUM E13)
Matthias Schwartzkopf
(DESY)
Dr
Christoph Rosemann
(Deutsches Elektronen-Synchrotron (DESY))
Stephan Roth
(DESY / KTH)
Peter Müller-Buschbaum
(TU München, Physik-Department, LS Funktionelle Materialien)
