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researcher

B. Salvachua

4 papers hereh-index 221.8k citations164 works total

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

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • physics.acc-ph3
  • hep-ex1

identity via Semantic Scholar / OpenAlex

activity
20152021
most citedTesting Beam-Induced Quench Levels of LHC Superconducting Magnets

30 citations · 30 across the 2 of their papers we have counts for

collaborators

4 papers

physics.acc-ph2021

Beam Measurements and Machine Learning at the CERN Large Hadron Collider

P. Arpaia, G. Azzopardi, F. Blanc +16

This paper presents a review of the recent Machine Learning activities carried out on beam measurements performed at the CERN Large Hadron Collider. This paper has been accepted fo…

physics.acc-ph2020

Machine learning for beam dynamics studies at the CERN Large Hadron Collider

P. Arpaia, G. Azzopardi, F. Blanc +17

Machine learning entails a broad range of techniques that have been widely used in Science and Engineering since decades. High-energy physics has also profited from the power of th…

hep-ex2018

First determination of the ρ parameter at s​=13 TeV -- probing the existence of a colourless three-gluon bound state

TOTEM Collaboration, G. Antchev, P. Aspell +93

The TOTEM experiment at the LHC has performed the first measurement at s​=13 TeV of the ρ parameter, the real to imaginary ratio of the nuclear elastic scattering ampli…

physics.acc-ph2015★ 30 cited

Testing Beam-Induced Quench Levels of LHC Superconducting Magnets

B. Auchmann, T. Baer, M. Bednarek +25

In the years 2009-2013 the Large Hadron Collider (LHC) has been operated with the top beam energies of 3.5 TeV and 4 TeV per proton (from 2012) instead of the nominal 7 TeV. The cu…

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