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Roy Stegeman

25 papers hereh-index 12905 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author11
  • last author11

Across the 23 of 25 papers where every author was matched, so the position is known.

fields
  • hep-ph24
  • physics.comp-ph1
same name
  • Roy Stegeman — 2 papers, h 2
  • Roy Stegeman — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedThe Path to Proton Structure at One-Percent Accuracy

429 citations · 637 across the 23 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

hep-ph2022

The negligible impact of experimental inconsistencies in the NNPDF4.0 global dataset

Roy Stegeman

As both predictions and measurements of high-energy physics observables become more precise, controlling all sources of uncertainties in determinations of parton distribution funct…

hep-ph2022★ 1 cited

Response to "Parton distributions need representative sampling"

The NNPDF Collaboration, Richard D. Ball, Juan Cruz-Martinez +7

We respond to the criticism raised by Courtoy et al., in which the faithfulness of the NNPDF4.0 sampling is questioned and an under-estimate of the NNPDF4.0 PDF uncertainties is im…

hep-ph2022

Approximating missing higher-orders in transverse momentum distributions using resummations

Niccolò Laurenti, Tanjona R. Rabemananjara, Roy Stegeman

We present a more reliable approach to approximate the unknown next-to-next-to-next-to-leading order (N3LO) transverse momentum distribution of colourless final states, namely the…

hep-ph2022★ 113 cited

Machine Learning and LHC Event Generation

Anja Butter, Tilman Plehn, Steffen Schumann +48

First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predicti…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.