activity
20162023
most citedMachine learning applied to single-shot x-ray diagnostics in an XFEL

106 citations · 120 across the 4 of their papers we have counts for

collaborators

5 papers

physics.acc-ph2023

Efficient prediction of attosecond two-colour pulses from an X-ray free-electron laser with machine learning

Karim K. Alaa El-Din, Oliver G. Alexander, Leszek J. Frasinski +12

X-ray free-electron lasers are sources of coherent, high-intensity X-rays with numerous applications in ultra-fast measurements and dynamic structural imaging. Due to the stochasti…

physics.data-an2022★ 13 cited

Cumulant mapping as the basis of multi-dimensional spectrometry

Leszek J. Frasinski

Cumulant mapping employs a statistical reconstruction of the whole by sampling its parts. The theory developed in this work formalises and extends ad hoc methods of `multi-fold' or…

physics.chem-ph2020

Two-dimensional partial covariance mass spectrometry for the top-down analysis of intact proteins

Taran Driver, Vitali Averbukh, Leszek J. Frasinski +2

Two-dimensional partial covariance mass spectrometry (2D-PC-MS) exploits the inherent fluctuations of fragment ion abundances across a series of tandem mass spectra, to identify co…

physics.chem-ph2019★ 1 cited

Partial covariance two-dimensional mass spectrometry for determination of biomolecular primary structure

Taran Driver, Ruth Ayers, Rüdiger Pipkorn +8

Mass spectrometry (MS) is used widely in biomolecular structural analysis and is particularly dominant in the study of proteins. Despite its considerable power, state-of-the-art pr…

physics.data-an2016★ 106 cited

Machine learning applied to single-shot x-ray diagnostics in an XFEL

A. Sanchez-Gonzalez, P. Micaelli, C. Olivier +39

X-ray free-electron lasers (XFELs) are the only sources currently able to produce bright few-fs pulses with tunable photon energies from 100 eV to more than 10 keV. Due to the stoc…