A. Tapper
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View article: First demonstration of a combined light and charge pixel readout on the anode plane of a LArTPC
First demonstration of a combined light and charge pixel readout on the anode plane of a LArTPC Open
The novel SoLAr concept aims to extend sensitivities of liquid-argon neutrino detectors down to the MeV scale for next-generation detectors. SoLAr plans to accomplish this with a liquid-argon time projection chamber that employs an anode p…
View article: Ultrafast jet classification at the HL-LHC
Ultrafast jet classification at the HL-LHC Open
Three machine learning models are used to perform jet origin classification. These models are optimized for deployment on a field-programmable gate array device. In this context, we demonstrate how latency and resource consumption scale wi…
View article: Ultrafast jet classification at the HL-LHC
Ultrafast jet classification at the HL-LHC Open
Three machine learning models are used to perform jet origin classification. These models are optimized for deployment on a field-programmable gate array device. In this context, we demonstrate how latency and resource consumption scale wi…
View article: First Demonstration of a Combined Light and Charge Pixel Readout on the Anode Plane of a LArTPC
First Demonstration of a Combined Light and Charge Pixel Readout on the Anode Plane of a LArTPC Open
The novel SoLAr concept aims to extend sensitivities of liquid-argon neutrino detectors down to the MeV scale for next-generation detectors. SoLAr plans to accomplish this with a liquid-argon time projection chamber that employs an anode p…
View article: Quantum pathways for charged track finding in high-energy collisions
Quantum pathways for charged track finding in high-energy collisions Open
In high-energy particle collisions, charged track finding is a complex yet crucial endeavor. We propose a quantum algorithm, specifically quantum template matching, to enhance the accuracy and efficiency of track finding. Abstracting the Q…
View article: LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics Open
This work presents a novel reconfigurable architecture for Low Latency Graph Neural Network (LL-GNN) designs for particle detectors, delivering unprecedented low latency performance. Incorporating FPGA-based GNNs into particle detectors pr…
View article: Fast, high-quality pseudo random number generators for heterogeneous computing
Fast, high-quality pseudo random number generators for heterogeneous computing Open
Random number generation is key to many applications in a wide variety of disciplines. Depending on the application, the quality of the random numbers from a particular generator can directly impact both computational performance and criti…
View article: Acceleration of a Deep Neural Network for the Compact Muon Solenoid
Acceleration of a Deep Neural Network for the Compact Muon Solenoid Open
There are ongoing efforts to investigate theories that aim to explain the current shortcomings of the Standard Model of particle physics. One such effort is the Long-Lived Particle Jet Tagging Algorithm, based on a DNN (Deep Neural Network…
View article: Deployment of ML in Changing Environments
Deployment of ML in Changing Environments Open
The High-Luminosity LHC upgrade of the CMS experiment will utilise a large number of Machine Learning (ML) based algorithms in its hardware-based trigger. These ML algorithms will facilitate the selection of potentially interesting events …
View article: Embedded Continual Learning for High-Energy Physics
Embedded Continual Learning for High-Energy Physics Open
Neural Networks (NN) are often trained offline on large datasets and deployed on specialised hardware for inference, with a strict separation between training and inference. However, in many realistic applications the training environment …
View article: Kubernetes for the Deep Underground Neutrino Experiment Data Acquisition
Kubernetes for the Deep Underground Neutrino Experiment Data Acquisition Open
The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino experiment based in the USA which is expected to start taking data in 2029. DUNE aims to precisely measure neutrino oscillation parameters by detec…
View article: Quantum Pathways for Charged Track Finding in High-Energy Collisions
Quantum Pathways for Charged Track Finding in High-Energy Collisions Open
In high-energy particle collisions, charged track finding is a complex yet crucial endeavour. We propose a quantum algorithm, specifically quantum template matching, to enhance the accuracy and efficiency of track finding. Abstracting the …
View article: CTD2022: Accelerated graph building for particle tracking graph neural nets
CTD2022: Accelerated graph building for particle tracking graph neural nets Open
The CMS experiment is undergoing upgrades that will increase the average pileup from 50 to 140, and eventually 200. The high level trigger at CMS will experience an increase in data size by a factor of five. With current algorithms, this m…
View article: Demonstration of FPGA Acceleration of Monte Carlo Simulation
Demonstration of FPGA Acceleration of Monte Carlo Simulation Open
We present results from a stand-alone simulation of electron single Coulomb scattering as implemented completely on an Field Programmable Gate Array (FPGA) architecture and compared with an identical simulation on a standard CPU. FPGA arch…
View article: Neural Network-Based Primary Vertex Reconstruction with FPGAs for the Upgrade of the CMS Level-1 Trigger System
Neural Network-Based Primary Vertex Reconstruction with FPGAs for the Upgrade of the CMS Level-1 Trigger System Open
The CMS experiment will be upgraded to maintain physics sensitivity and exploit the improved performance of the High Luminosity LHC. Part of this upgrade will see the first level (Level-1) trigger use charged particle tracks reconstructed …
View article: LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics Open
This work presents a novel reconfigurable architecture for Low Latency Graph Neural Network (LL-GNN) designs for particle detectors, delivering unprecedented low latency performance. Incorporating FPGA-based GNNs into particle detectors pr…
View article: Ureteral Stent Fracture After Irreversible Electroporation for Treatment of Metastatic Rectal Adenocarcinoma
Ureteral Stent Fracture After Irreversible Electroporation for Treatment of Metastatic Rectal Adenocarcinoma Open
Background: Irreversible electroporation (IRE) is a soft tissue ablation technique using electrical pulses without thermal energy to create pores in the cell membrane, resulting in death from apoptosis rather than necrosis. A…
View article: The Phase-2 Upgrade of the CMS Level-1 Trigger
The Phase-2 Upgrade of the CMS Level-1 Trigger Open
This Technical Design Report describes the ongoing developments and plans towards the upgrade of the CMS Level-1 trigger for the High-Luminosity Large Hadron Collider.
View article: V12-04 TELECYSTOSCOPY: USE OF REMOTE VIDEO TECHNOLOGY FOR BEDSIDE FLEXIBLE CYSTOSCOPY
V12-04 TELECYSTOSCOPY: USE OF REMOTE VIDEO TECHNOLOGY FOR BEDSIDE FLEXIBLE CYSTOSCOPY Open
You have accessJournal of UrologyImaging Based Techniques & Uroradiology1 Apr 2018V12-04 TELECYSTOSCOPY: USE OF REMOTE VIDEO TECHNOLOGY FOR BEDSIDE FLEXIBLE CYSTOSCOPY Alexander D. Tapper, Laura N. Nguyen, Jay B. Hollander, and Frank N. Bu…
View article: MP80-15 ROBOTIC INSTRUMENT FAILURE-A CRITICAL ANALYSIS OF CAUSE AND QUALITY IMPROVEMENT STRATEGIES
MP80-15 ROBOTIC INSTRUMENT FAILURE-A CRITICAL ANALYSIS OF CAUSE AND QUALITY IMPROVEMENT STRATEGIES Open
You have accessJournal of UrologyGeneral & Epidemiological Trends & Socioeconomics: Quality Improvement & Patient Safety III1 Apr 2018MP80-15 ROBOTIC INSTRUMENT FAILURE-A CRITICAL ANALYSIS OF CAUSE AND QUALITY IMPROVEMENT STRATEGIES Alexan…
View article: An FPGA-based Track Finder for the L1 Trigger of the CMS Experiment at the HL-LHC
An FPGA-based Track Finder for the L1 Trigger of the CMS Experiment at the HL-LHC Open
A new tracking detector is under development for use by the CMS experiment at the High-Luminosity LHC (HL-LHC). A crucial component of this upgrade will be the ability to reconstruct within a few microseconds all charged particle tracks wi…
View article: The CMS Level-1 trigger for LHC Run II
The CMS Level-1 trigger for LHC Run II Open
During LHC Run II the centre-of-mass energy of pp collisions has increased up to 13 TeV and the instantaneous luminosity has progressed towards $2 \\times 10^{34} \\rm{cm}^{-2}\\rm{s}^{-1}$. In order to guarantee a successful and ambitious…
View article: An FPGA based track finder for the L1 trigger of the CMS experiment at the High Luminosity LHC
An FPGA based track finder for the L1 trigger of the CMS experiment at the High Luminosity LHC Open
A new tracking detector is under development for use by the CMS experiment at the
\nHigh-Luminosity LHC (HL-LHC). A crucial requirement of this upgrade is to provide the ability
\nto reconstruct all charged particle tracks with transverse …
View article: A novel FPGA-based track reconstruction approach for the level-1 trigger of the CMS experiment at CERN
A novel FPGA-based track reconstruction approach for the level-1 trigger of the CMS experiment at CERN Open
The Compact Muon Solenoid (CMS) experiment at CERN is scheduled for a major upgrade in the next decade in order to meet the demands of the new High Luminosity Large Hadron Collider. Amongst others, a new tracking system is under developmen…
View article: The CMS Level-1 Trigger for LHC Run II
The CMS Level-1 Trigger for LHC Run II Open
During LHC Run II the centre-of-mass energy of pp collisions has increased up to 13 TeV and the instantaneous luminosity has progressed towards 2×1034cm−2 s −1 . In order to guarantee a successful and ambitious physics programme under thes…
View article: The CMS Level-1 electron and photon trigger: for Run II of LHC
The CMS Level-1 electron and photon trigger: for Run II of LHC Open
The Compact Muon Solenoid (CMS) employs a sophisticated two-level online triggering system that has a rejection factor of up to 105. Since the beginning of Run II of LHC, the conditions that CMS operates in have become increasingly challen…
View article: The CMS Level-1 Calorimeter Trigger for the LHC Run II
The CMS Level-1 Calorimeter Trigger for the LHC Run II Open
Results from the completed Phase 1 Upgrade of the Compact Muon Solenoid (CMS) Level-1 Calorimeter Trigger are presented. The upgrade was completed in two stages, with the first running in 2015 for proton and Heavy Ion collisions and the fi…
View article: An FPGA-based track finder for the L1 trigger of the CMS experiment at the high luminosity LHC
An FPGA-based track finder for the L1 trigger of the CMS experiment at the high luminosity LHC Open
A new tracking system is under development for operation in the CMS experiment at the High Luminosity LHC. It includes an outer tracker which will construct stubs, built by correlating clusters in two closely spaced sensor layers for the r…
View article: Emulation of a prototype FPGA track finder for the CMS Phase-2 upgrade with the CIDAF emulation framework
Emulation of a prototype FPGA track finder for the CMS Phase-2 upgrade with the CIDAF emulation framework Open
The CMS collaboration is preparing a major upgrade of its detector, so it can operate during the high luminosity run of the LHC from 2026. The upgraded tracker electronics will reconstruct the trajectories of charged particles within a lat…
View article: Triggering on electrons, jets and tau leptons with the CMS upgraded calorimeter trigger for the LHC RUN II
Triggering on electrons, jets and tau leptons with the CMS upgraded calorimeter trigger for the LHC RUN II Open
The Compact Muon Solenoid (CMS) experiment has implemented a sophisticated two-level online selection system that achieves a rejection factor of nearly 10e5. During Run II, the LHC will increase its centre-of-mass energy up to 13 TeV and p…