Bulletin of the American Physical Society
53rd Annual Meeting of the APS Division of Atomic, Molecular and Optical Physics
Volume 67, Number 7
Monday–Friday, May 30–June 3 2022; Orlando, Florida
Session X03: Focus Session: Machine Learning Approaches to Ultrafast Science
8:00 AM–9:48 AM,
Friday, June 3, 2022
Room: Grand Ballroom B
Chair: Taran Driver, SLAC
Abstract: X03.00006 : Ultrafast Molecular Imaging Using 4-Fold Covariance: Coincidence Insight with Covariance Speed
9:36 AM–9:48 AM
Presenter:
Chuan Cheng
(Stony Brook University)
Authors:
Chuan Cheng
(Stony Brook University)
Leszek J Frasinski
(Imperial College London)
Gönenç Moğol
(Stony Brook University)
Felix Allum
(Stanford Univ)
Andrew J Howard
(Stanford Univ)
Philip H Bucksbaum
(Stanford Univ)
Mark Brouard
(University of Oxford)
Ruaridh Forbes
(SLAC - Natl Accelerator Lab)
Thomas Weinacht
(Stony Brook University)
[1] Allum, F., Cheng, C., Howard, A.J., Bucksbaum, P.H., Brouard, M., Weinacht, T. and Forbes, R., 2021. Multi-Particle Three-Dimensional Covariance Imaging:“Coincidence” Insights into the Many-Body Fragmentation of Strong-Field Ionized D2O. The Journal of Physical Chemistry Letters, 12(34), pp.8302-8308.
[2] Zhaunerchyk, V., Frasinski, L.J., Eland, J.H. and Feifel, R., 2014. Theory and simulations of covariance mapping in multiple dimensions for data analysis in high-event-rate experiments. Physical Review A, 89(5), p.053418.
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