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researcher

M. Saito

26 papers hereh-index 395.6k citations232 works total

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

author position
  • first author2
  • middle author6
  • last author1

Across the 9 of 26 papers where every author was matched, so the position is known.

fields
  • hep-ex12
  • nucl-ex5
  • hep-ph3
  • quant-ph2
  • cs.CV1
  • cs.LG1
same name
  • M. Saito — 104 papers, h 34
  • M. Saito — 100 papers, h 34
  • M. Saito — 63 papers, h 27
  • M. Saito — 9 papers, h 9
  • M. Saito — 8 papers, h 25
  • M. Saito — 4 papers, h 3

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
20182022
most citedCombined measurements of Higgs boson production and decay using up to 80 fb−1 of proton-proton collision data at s​= 13 TeV collected with the ATLAS experiment

489 citations · 1.8k across the 26 of their papers we have counts for

collaborators
Showing hep-phShow all

3 papers · 1 filter

hep-ph2019★ 5 cited

Determining Wino Lifetime in Supersymmetric Model at Future 100 TeV pp Colliders

So Chigusa, Yusuke Hosomi, Takeo Moroi +1

We discuss a possibility to measure the lifetime of charged Wino in supersymmetric model at future 100 TeV pp colliders, assuming that (neutral) Wino is the lightest superparticle…

hep-ph2019★ 1 cited

Studying gaugino masses in supersymmetric model at future 100 TeV pp collider

Shoji Asai, So Chigusa, Toshiaki Kaji +6

We discuss prospects of studying supersymmetric model at future pp circular collider (FCC) with its centre-of-mass energy of ∼100 TeV. We pay particular attention to…

hep-ph2019★ 38 cited

Discovery reach for wino and higgsino dark matter with a disappearing track signature at a 100 TeV pp collider

Masahiko Saito, Ryu Sawada, Koji Terashi +1

Within the theory of supersymmetry, the lightest neutralino is a dark matter candidate and is often assumed to be the lightest supersymmetric particle (LSP) as well. If the neutral…

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