activity
20082025
most citedEvidence for a Narrow Near-Threshold Structure in the Mass Spectrum in Decays

322 citations · 3.9k across the 105 of their papers we have counts for

collaborators

106 papers

hep-ex2025

Status of the International Linear Collider

Y. Abe, S. Arai, S. Araki +149

This paper is not a proposal for a CERN future project but provides information on the International Linear Collider (ILC) considered for Japan in order to facilitate the European…

hep-ex2025

A Linear Collider Vision for the Future of Particle Physics

H. Abramowicz, E. Adli, F. Alharthi +446

In this paper we review the physics opportunities at linear colliders with a special focus on high centre-of-mass energies and beam polarisation, take a fresh look at the…

physics.acc-ph2022★ 4 cited

The International Linear Collider: Report to Snowmass 2021

Alexander Aryshev, Ties Behnke, Mikael Berggren +508

The International Linear Collider (ILC) is on the table now as a new global energy-frontier accelerator laboratory taking data in the 2030s. The ILC addresses key questions for our…

hep-ex2021

A novel measurement of initial-state gluon radiation in hadron collisions using Drell-Yan events

CDF Collaboration, T. Aaltonen, S. Amerio +397

A study of initial-state gluon radiation (ISR) in hadron collisions is presented using Drell-Yan (DY) events produced in proton-antiproton collisions by the Tevatron collider at a…

hep-ex2021

Measurement of the charge asymmetry of electrons from the decays of bosons produced in collisions at TeV

CDF Collaboration, T. Aaltonen, S. Amerio +398

At the Fermilab Tevatron proton-antiproton () collider, high-mass electron-neutrino () pairs are produced predominantly in the process $p \bar{p} \rightarrow W(\right…

physics.data-an2021★ 7 cited

Development of a Vertex Finding Algorithm using Recurrent Neural Network

Kiichi Goto, Taikan Suehara, Tamaki Yoshioka +5

Deep learning is a rapidly-evolving technology with possibility to significantly improve physics reach of collider experiments. In this study we developed a novel algorithm of vert…