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This article presents novel applications of unsupervised machine learning methods to the problem of event separation in an active target detector, the Active-Target Time Projection Chamber (AT-TPC). The overarching goal is to group similar…

Computer Vision and Pattern Recognition · Computer Science 2021-07-07 Robert Solli , Daniel Bazin , Michelle P. Kuchera , Ryan R. Strauss , Morten Hjorth-Jensen

Self-triggered control is an improvement on event-triggered control methods. Unlike the latter, self-triggered control does not require monitoring the behavior of the system constantly. Instead, self-triggered algorithms predict the events…

Systems and Control · Electrical Eng. & Systems 2019-07-04 Fairouz Zobiri , Nacim Meslem , Brigitte Bidegaray-Fesquet

This paper deals with event-triggered parameterized control (ETPC) of nonlinear systems with external disturbances. In this control method, between two successive events, each control input to the plant is a linear combination of a set of…

Optimization and Control · Mathematics 2024-07-03 Anusree Rajan , Pavankumar Tallapragada

Large-scale neutrino observatories operate under unavoidable detector deadtime arising from photomultiplier saturation, digitizer limits, and front-end readout constraints. Conventional coincidence-based trigger logic implicitly assumes…

Instrumentation and Detectors · Physics 2026-01-27 Thammarat Yawisit , Pittaya Pannil

Due to the huge interaction rates and the tough experimental environment of pp collisions at a centre-of-mass energy sqrt(s)=14TeV and luminosities of up to 10^34 cm^-2 s^-1, one of the experimental challenges at the LHC is the triggering…

Instrumentation and Detectors · Physics 2019-08-14 Johannes Haller

To cope with the enhanced luminosity at the Large Hadron Collider (LHC) in 2021, the ATLAS collaboration is planning a major detector upgrade. As a part of this, the Level 1 trigger based on calorimeter data will be upgraded to exploit the…

Instrumentation and Detectors · Physics 2018-06-26 B. Bauss , A. Brogna , V. Bücher , J. Damp , R. Degele , H. Herr , C. Kahra , S. Rave , E. Rocco , U. Schäfer , J. Souza , D. B. Ta , S. Tapprogge , M. Weirich

Feedback systems are essential for stable operation of a linear collider, providing a cost-effective method for relaxing tight tolerances. In the Stanford Linear Collider (SLC), feedback controls beam parameters such as trajectory, energy,…

Accelerator Physics · Physics 2016-11-17 L. Hendrickson , P. Grossberg , T. Himel , M. Minty , N. Phinney , P. Raimondi , T. Raubenheimer , H. Shoaee , P. Tenenbaum

The STEREO experiment will search for a sterile neutrino by measuring the anti-neutrino energy spectrum as a function of the distance from the source, the ILL nuclear reactor. A dedicated electronic system, hosted in a single microTCA…

This paper considers nonlinear systems with full state feedback, a central controller and distributed sensors not co-located with the central controller. We present a methodology for designing decentralized asynchronous event-triggers,…

Systems and Control · Computer Science 2015-10-16 Pavankumar Tallapragada , Nikhil Chopra

A Time Projection Chamber (TPC) is a powerful detector for 3-dimensional tracking and particle identification for ultra-high multiplicity events. It is the central tracking device of many experiments, e.g. the ALICE experiment at CERN. The…

Instrumentation and Detectors · Physics 2019-08-14 Bernhard Ketzer

The DZERO experiment, located at the Fermi National Accelerator Laboratory, has recently started the Run 2 physics program. The detector upgrade included a new Data Acquisition/Level 3 Trigger system. Part of the design for the DAQ/Trigger…

A study on the use of a machine learning algorithm for the level 1 trigger decision in the JUNO experiment ispresented. JUNO is a medium baseline neutrino experiment in construction in China, with the main goal of determining the neutrino…

Instrumentation and Detectors · Physics 2021-09-01 Barbara Clerbaux , Pierre-Alexandre Petitjean , Yu Xu , Yifan Yang

As a novel approach to tuning pre-trained models, prompt tuning involves freezing the parameters in downstream tasks while inserting trainable embeddings into inputs in the first layer. However, previous methods have mainly focused on the…

Computation and Language · Computer Science 2023-05-16 Chi Liu , Haochun Wang , Nuwa Xi , Sendong Zhao , Bing Qin

The Fast Tracker (FTK) is a proposed upgrade to the ATLAS trigger system that will operate at full Level-1 output rates and provide high quality tracks reconstructed over the entire detector by the start of processing in Level-2. FTK solves…

We use statistical tools to characterize the response of an excitable system to periodic perturbations. The system is an optically injected semiconductor laser under pulsed perturbations of the phase of the injected field. We characterize…

Adaptation and Self-Organizing Systems · Physics 2020-08-26 Jordi Tiana-Alsina , Bruno Garbin , Stephane Barland , Cristina Masoller

The hadron-hadron based Future Circular Collider (FCC-hh) is a project with the goal to collide proton-proton beams at a center of mass energy of sqrt(s)=100 TeV with a bunch crossing rate of 25 ns. Some of the major challenges that the…

Instrumentation and Detectors · Physics 2019-10-16 Tamasi Kar , Danilo E. F. de Lima , Andrè Schöning , Jike Wang

Low-level sensory data processing in many Internet-of-Things (IoT) devices pursue energy efficiency by utilizing sleep modes or slowing the clocking to the minimum. To curb the share of stand-by power dissipation in those designs,…

Signal Processing · Electrical Eng. & Systems 2019-06-12 Mehdi Safarpour , Ilkka Hautala , Miguel Bordallo Lopez , Olli Silven

In this paper, a self-triggered adaptive model predictive control (MPC) algorithm is proposed for constrained discrete-time nonlinear systems subject to parametric uncertainties and additive disturbances. To bound the parametric…

Optimization and Control · Mathematics 2019-12-17 Kunwu Zhang , Changxin Liu , Yang Shi

Jailbreak attacks can circumvent model safety guardrails and reveal critical blind spots. Prior attacks on text-to-video (T2V) models typically add adversarial perturbations to obviously unsafe prompts, which are often easy to detect and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-09 Zonghao Ying , Moyang Chen , Nizhang Li , Zhiqiang Wang , Wenxin Zhang , Quanchen Zou , Zonglei Jing , Aishan Liu , Xianglong Liu

The Level-1 trigger of the CMS experiment at CERN has been designed to select proton-proton interactions whose final state includes signatures of new physics in the form of high transverse energy electrons, photons, jets, or high missing…

Instrumentation and Detectors · Physics 2008-10-23 C. Foudas
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