Evidence map›Paper›PMID 37782462›Full record

ArticleIUCrJ2023

A phenomenological model of the X-ray pulse statistics of a high-repetition-rate X-ray free-electron laser.

Trey W Guest, Richard Bean, Raimund Kammering, Grant van Riessen, Adrian P Mancuso, Brian Abbey

Abstract read
In one paragraph

Article in IUCrJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Trey W GuestLa Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC 3086, Australia.
Richard BeanEuropean XFEL, Holzkoppel 4, 22869 Schenefeld, Germany.
Raimund KammeringDeutsches Elektronen-Synchrotron, Notkestraße 85, 22607 Hamburg, Germany.
Grant van RiessenLa Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC 3086, Australia.ORCID 0000-0002-6240-7143
Adrian P MancusoLa Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC 3086, Australia.
Brian AbbeyLa Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC 3086, Australia.ORCID 0000-0001-6504-0503

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many coherent imaging applications that utilize ultrafast X-ray free-electron laser (XFEL) radiation pulses are highly sensitive to fluctuations in the shot-to-shot statistical properties of the source. Understanding and modelling these fluctuations are key to successful experiment planning and necessary to maximize the potential of XFEL facilities. Current models of XFEL radiation and their shot-to-shot statistics are based on theoretical descriptions of the source and are limited in their ability to capture the shot-to-shot intensity fluctuations observed experimentally. The lack of accurate temporal statistics in simulations that utilize these models is a significant barrier to optimizing and interpreting data from XFEL coherent diffraction experiments. Presented here is a phenomenological model of XFEL radiation that is capable of capturing the shot-to-shot statistics observed experimentally using a simple time-dependent approximation of the pulse wavefront. The model is applied to reproduce non-stationary shot-to-shot intensity fluctuations observed at the European XFEL, whilst accurately representing the single-shot properties predicted by FEL theory. Compared with previous models, this approach provides a simple, robust and computationally inexpensive method of generating statistical representations of XFEL radiation.

Indexed as

computational modellingcorrelated fluctuationsdynamic simulationsMHz XFELstemporal coherencetime-resolved studieswavefront propagationXFELsX-ray free-electron lasers

Identifiers

PMID37782462
PMCPMC10619450

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.