240 citations · 2k across the 78 of their papers we have counts for
81 papers
Measurement of the muon neutrino charged-current cross section with SND@LHC
LHC Collaboration, D. Abbaneo, S. Ahmad +163
We report a measurement of the muon neutrino charged-current (CC) interaction cross section on tungsten using the electronic detectors of the SND@LHC experiment at the CERN Large H…
Study of the Run-3 muon flux at the SND@LHC experiment
LHC Collaboration
Long-range muons produced in proton-proton collisions at the ATLAS interaction point constitute the primary background for neutrino interaction searches at the SND@LHC experiment.…
Measurement of the Muon Flux at SND@LHC: Results from the 2023-2025 Proton and Heavy-Ion Periods
LHC Collaboration
The SND@LHC experiment investigates neutrinos in the forward pseudorapidity range. The detector consists of a veto system, a scintillating fiber tracker interleaved…
SND@LHC Upgrade for the High-Luminosity LHC: Physics Reach and Installation Scenarios
LHC Collaboration
The SND@LHC experiment is currently taking data at the Large Hadron Collider (LHC), exploring the unique forward region at pseudorapidities from 7.2 to 8.4. Its physics programme c…
Pushing spectral siren cosmology into the third-generation era: a blinded mock data challenge
Matteo Tagliazucchi, Michele Moresco, Alessandro Agapito +6
Gravitational wave (GW) spectral sirens offer a promising method for measuring cosmological parameters using GW data only - without relying on external redshift information such as…
The SND@LHC neutron shielding
LHC Collaboration
The design and construction of a neutron shielding for the SND@LHC detector, which utilizes a combination of plexiglass and borated polyethylene, is presented. FLUKA simulations we…
Studies of Hadronic Showers in SND@LHC
LHC Collaboration
The SND@LHC experiment was built for observing neutrinos arising from LHC pp collisions. The detector consists of two sections: a target instrumented with SciFi modules and a hadro…
Input from the SND@LHC collaboration to the 2026 Update to the European Strategy for Particle Physics
LHC collaboration
By observing collider neutrino interactions of different flavours, the SND@LHC and Faser experiments have shown that the LHC can make interesting contributions to neutrino physics.…
Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF
Sascha Caron, Andreas Ipp, Gert Aarts +16
Artificial intelligence (AI) is transforming scientific research, with deep learning methods playing a central role in data analysis, simulations, and signal detection across parti…
Observation of collider neutrinos without final state muons with the SND@LHC experiment
LHC Collaboration
We report the observation of neutrino interactions without final state muons at the LHC, with a significance of 6.4. A data set of proton-proton collisions at …
Measurement of the muon flux at the SND@LHC experiment
LHC Collaboration
The Scattering and Neutrino Detector at the LHC (\SND) started taking data at the beginning of Run 3 of the LHC. The experiment is designed to perform measurements with neutrinos p…
Observation of collider muon neutrinos with the SND@LHC experiment
LHC Collaboration
We report the direct observation of muon neutrino interactions with the SND@LHC detector at the Large Hadron Collider. A data set of proton-proton collisions at …
SND@LHC: The Scattering and Neutrino Detector at the LHC
LHC Collaboration
SND@LHC is a compact and stand-alone experiment designed to perform measurements with neutrinos produced at the LHC in the pseudo-rapidity region of . The experimen…
Improving Parametric Neural Networks for High-Energy Physics (and Beyond)
Luca Anzalone, Tommaso Diotalevi, Daniele Bonacorsi
Signal-background classification is a central problem in High-Energy Physics (HEP), that plays a major role for the discovery of new fundamental particles. A recent method -- the P…
Collection and harmonization of system logs and prototypal Analytics services with the Elastic (ELK) suite at the INFN-CNAF computing centre
Tommaso Diotalevi, Antonio Falabella, Barbara Martelli +5
The distributed Grid infrastructure for High Energy Physics experiments at the Large Hadron Collider (LHC) in Geneva comprises a set of computing centres, spread all over the world…
MLaaS4HEP: Machine Learning as a Service for HEP
Valentin Kuznetsov, Luca Giommi, Daniele Bonacorsi
Machine Learning (ML) will play a significant role in the success of the upcoming High-Luminosity LHC (HL-LHC) program at CERN. An unprecedented amount of data at the exascale will…
Extension of the INFN Tier-1 on a HPC system
Tommaso Boccali, Stefano Dal Pra, Daniele Spiga +10
The INFN Tier-1 located at CNAF in Bologna (Italy) is a center of the WLCG e-Infrastructure, supporting the 4 major LHC collaborations and more than 30 other INFN-related experimen…
Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach
Leticia Decker, Daniel Leite, Luca Giommi +1
Detection of anomalous behaviors in data centers is crucial to predictive maintenance and data safety. With data centers, we mean any computer network that allows users to transmit…
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers
Leticia Decker, Daniel Leite, Fabio Viola +1
Log-based predictive maintenance of computing centers is a main concern regarding the worldwide computing grid that supports the CERN (European Organization for Nuclear Research) p…
Machine Learning in High Energy Physics Community White Paper
Kim Albertsson, Piero Altoe, Dustin Anderson +125
Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by a…
A Roadmap for HEP Software and Computing R&D for the 2020s
Johannes Albrecht, Antonio Augusto Alves, Guilherme Amadio +307
Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facil…
Exploiting Apache Spark platform for CMS computing analytics
Marco Meoni, Valentin Kuznetsov, Luca Menichetti +3
The CERN IT provides a set of Hadoop clusters featuring more than 5 PBytes of raw storage with different open-source, user-level tools available for analytical purposes. The CMS ex…
Predicting dataset popularity for the CMS experiment
Valentin Kuznetsov, Ting Li, Luca Giommi +2
The CMS experiment at the LHC accelerator at CERN relies on its computing infrastructure to stay at the frontier of High Energy Physics, searching for new phenomena and making disc…
SuperB Technical Design Report
SuperB Collaboration, M. Baszczyk, P. Dorosz +406
In this Technical Design Report (TDR) we describe the SuperB detector that was to be installed on the SuperB e+e- high luminosity collider. The SuperB asymmetric collider, which wa…