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Related papers: Advancing the CMS Level-1 Trigger: Jet Tagging wit…

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A novel deep neural network classifier, a ``Particle transformer'' (PaRT), is introduced for the identification of highly Lorentz-boosted resonances reconstructed as single, multipronged jets in measurements and searches performed by the…

High Energy Physics - Experiment · Physics 2026-04-14 CMS Collaboration

The trigger selection capabilities of the ATLAS detector have been significantly enhanced for the LHC Run- 2 in order to cope with the higher event rates and with the large number of simultaneous interactions (pile-up) per protonproton…

High Energy Physics - Experiment · Physics 2020-09-18 Pierre-Hugues Beauchemin

Identification of hadronic jets originating from heavy-flavor quarks is extremely important to several physics analyses in High Energy Physics, such as studies of the properties of the top quark and the Higgs boson, and searches for new…

High Energy Physics - Experiment · Physics 2024-12-10 Uttiya Sarkar

The CERN LHC provided proton and heavy ion collisions during its Run 2 operation period from 2015 to 2018. Proton-proton collisions reached a peak instantaneous luminosity of 2.1 $\times$ 10$^{34}$ cm$^{-2}$s$^{-1}$, twice the initial…

Instrumentation and Detectors · Physics 2024-11-26 CMS Collaboration

With the planned addition of tracking information to the Compact Muon Solenoid (CMS) Level-1 trigger for the High-Luminosity Large Hadron Collider (HL-LHC), the trigger algorithms can be completely reconceptualized. We explore the…

Instrumentation and Detectors · Physics 2018-08-08 Benjamin Kreis

Recent jet and jet substructure measurements at the LHC, and of machine-learning-based tagging techniques are presented using proton-proton collision data collected by the ATLAS and CMS experiments at CERN's Large Hadron Collider. These…

High Energy Physics - Experiment · Physics 2022-02-10 Meena Meena

The ATLAS trigger has been used very successfully for the online event selection during the first part of the second LHC run (Run-2) in 2015/16 at a center-of-mass energy of 13 TeV. The trigger system is composed of a hardware Level-1…

High Energy Physics - Experiment · Physics 2019-08-13 Catrin Bernius

At the High Luminosity LHC (HL-LHC), the CMS experiment will face a harsh environment with a high instantaneous luminosity up to 7x10$^{34}$/cm$^2$/s corresponding to an average of 140-200 multiple proton-proton collisions per bunch…

Instrumentation and Detectors · Physics 2018-12-04 Chang-Seong Moon

The ATLAS Trigger system is a key component of the ATLAS experiment at the CERN Large Hadron Collider (LHC), designed to reduce the event rate from the 40 MHz proton-proton bunch crossing frequency to an output suitable for offline storage…

Instrumentation and Detectors · Physics 2026-03-17 Leonardo Toffolin

The trigger systems of the CERN LHC detectors play a crucial role in determining the physics capabilities of the experiments. A reduction of several orders of magnitude of the event rate is needed to reach values compatible with the…

Instrumentation and Detectors · Physics 2014-09-18 Juliette Alimena

The CMS experiment has been designed with a two-level trigger system: the Level 1 (L1) Trigger, implemented on custom-designed electronics, and the High Level Trigger (HLT), a streamlined version of the CMS reconstruction and analysis…

Instrumentation and Detectors · Physics 2014-09-16 Zeynep Demiragli

The feasibility studies of the central exclusive jet production at the LHC using the proton tagging technique are presented. Three classes of data taking scenarios are considered: double tag at high pile-up, single tag at low pile-up and…

High Energy Physics - Phenomenology · Physics 2016-08-24 M. Trzebinski

Recent literature on deep neural networks for tagging of highly energetic jets resulting from top quark decays has focused on image based techniques or multivariate approaches using high-level jet substructure variables. Here, a sequential…

High Energy Physics - Experiment · Physics 2017-08-10 Jannicke Pearkes , Wojciech Fedorko , Alison Lister , Colin Gay

Using deep neural networks for identifying physics objects at the Large Hadron Collider (LHC) has become a powerful alternative approach in recent years. After successful training of deep neural networks, examining the trained networks not…

High Energy Physics - Phenomenology · Physics 2023-01-23 Taoli Cheng

Interest in deep learning in collider physics has been growing in recent years, specifically in applying these methods in jet classification, anomaly detection, particle identification etc. Among those, jet classification using neural…

High Energy Physics - Phenomenology · Physics 2024-08-05 Camellia Bose , Amit Chakraborty , Shreecheta Chowdhury , Saunak Dutta

Jet flavour tagging is crucial in experimental high-energy physics. A tagging algorithm, DeepJetTransformer, is presented, which exploits a transformer-based neural network that is substantially faster to train than state-of-the-art graph…

High Energy Physics - Experiment · Physics 2025-02-11 Freya Blekman , Florencia Canelli , Alexandre De Moor , Kunal Gautam , Armin Ilg , Anna Macchiolo , Eduardo Ploerer

The rejection of forward jets originating from additional proton--proton interactions (pile-up) is crucial for a variety of physics analyses at the LHC, including Standard Model measurements and searches for physics beyond the Standard…

High Energy Physics - Experiment · Physics 2017-09-20 ATLAS Collaboration

Measurements in the highly Lorentz-boosted regime provoke increased interest in probing the Higgs boson properties and in searching for particles beyond the standard model at the LHC. In the CMS Collaboration, various boosted-object tagging…

Instrumentation and Detectors · Physics 2025-11-14 CMS Collaboration

The CMS Level-1 calorimeter trigger is being upgraded in two stages to maintain performance as the LHC increases pile-up and instantaneous luminosity in its second run. In the first stage, improved algorithms including event-by-event…