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researcher

A. Paul

34 papers hereh-index 223k citations63 works total

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

author position
  • sole author1
  • first author7
  • middle author21
  • last author4

Across the 33 of 34 papers where every author was matched, so the position is known.

fields
  • hep-ph32
  • hep-ex1
  • physics.comp-ph1
same name
  • A. Paul — 104 papers
  • A. Paul — 44 papers, h 15
  • A. Paul — 19 papers, h 14
  • A. Paul — 16 papers, h 33
  • A. Paul — 16 papers, h 6
  • A. Paul — 11 papers, h 12

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
20102026
most citedThe Belle II Physics Book

570 citations · 2.2k across the 29 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

hep-ph2022★ 117 cited

Constraints on Lepton Universality Violation from Rare B Decays

Marco Ciuchini, Marco Fedele, Enrico Franco +3

The LHCb collaboration has very recently released a new study of B+→K+ℓ+ℓ− and B→K∗0ℓ+ℓ− (ℓ=e,μ) decays, testing lepton universality w…

hep-ph2022★ 16 cited

Machine learning the trilinear and light-quark Yukawa couplings from Higgs pair kinematic shapes

Lina Alasfar, Ramona Gröber, Christophe Grojean +2

Revealing the Higgs pair production process is the next big challenge in high energy physics. In this work, we explore the use of interpretable machine learning and cooperative gam…

hep-ph2022★ 33 cited

Interpretable machine learning in Physics

Christophe Grojean, Ayan Paul, Zhuoni Qian +1

Adding interpretability to multivariate methods creates a powerful synergy for exploring complex physical systems with higher order correlations while bringing about a degree of cl…

hep-ph2022★ 36 cited

Violation of custodial symmetry from W-boson mass measurements

Ayan Paul, Mauro Valli

The new measurement of the W-boson mass from the CDF collaboration shows a significant tension with the Standard Model prediction. We quantify this discrepancy within a state-of-…

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