S.‐C. Hsu
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View article: CaloChallenge 2022: a community challenge for fast calorimeter simulation
CaloChallenge 2022: a community challenge for fast calorimeter simulation Open
We present the results of the ‘Fast Calorimeter Simulation Challenge 2022’—the CaloChallenge. We study state-of-the-art generative models on four calorimeter shower datasets of increasing dimensionality, ranging from a few hundred voxels t…
View article: Latest neutrino results from the FASER experiment and their implications for forward hadron production
Latest neutrino results from the FASER experiment and their implications for forward hadron production Open
The muon puzzle -- an excess of muons relative to simulation predictions in ultra-high-energy cosmic-ray air showers -- has been reported by many experiments. This suggests that forward particle production in hadronic interactions is not f…
View article: SuperSONIC: Cloud-Native Infrastructure for ML Inferencing
SuperSONIC: Cloud-Native Infrastructure for ML Inferencing Open
The increasing computational demand from growing data rates and complex machine learning (ML) algorithms in large-scale scientific experiments has driven the adoption of the Services for Optimized Network Inference on Coprocessors (SONIC) …
View article: First Measurement of the Muon Neutrino Interaction Cross Section and Flux as a Function of Energy at the LHC with FASER
First Measurement of the Muon Neutrino Interaction Cross Section and Flux as a Function of Energy at the LHC with FASER Open
This Letter presents the measurement of the energy-dependent neutrino-nucleon cross section in tungsten and the differential flux of muon neutrinos and antineutrinos. The analysis is performed using proton-proton collision data at a center…
View article: Identifying the quantum properties of hadronic resonances using machine learning
Identifying the quantum properties of hadronic resonances using machine learning Open
With the great promise of deep learning, discoveries of new particles at the Large Hadron Collider (LHC) may be imminent. Following the discovery of a new Beyond the Standard model particle in an all-hadronic channel, deep learning can als…
View article: Entanglement and Bell Nonlocality in $τ^+ τ^-$ at the LHC using Machine Learning for Neutrino Reconstruction
Entanglement and Bell Nonlocality in $τ^+ τ^-$ at the LHC using Machine Learning for Neutrino Reconstruction Open
Experiments at the CERN Large Hadron Collider (LHC) have accumulated an unprecedented amount of data corresponding to a large variety of quantum states. Although searching for new particles beyond the Standard Model of particle physics rem…
View article: Low latency transformer inference on FPGAs for physics applications with hls4ml
Low latency transformer inference on FPGAs for physics applications with hls4ml Open
This study presents an efficient implementation of transformer architectures in Field-Programmable Gate Arrays (FPGAs) using hls4ml . We demonstrate the strategy for implementing the multi head attention, softmax, and normalization layer a…
View article: Building Machine Learning Challenges for Anomaly Detection in Science
Building Machine Learning Challenges for Anomaly Detection in Science Open
Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not conform to the norms are an indication that the rules of s…
View article: Shining light on the dark sector: search for axion-like particles and other new physics in photonic final states with FASER
Shining light on the dark sector: search for axion-like particles and other new physics in photonic final states with FASER Open
A bstract The first FASER search for a light, long-lived particle decaying into a pair of photons is reported. The search uses LHC proton-proton collision data at $$ \sqrt{s} $$ = 13 . 6 TeV collected in 2022 and 2023, corresponding to …
View article: First Measurement of the Muon Neutrino Interaction Cross Section and Flux as a Function of Energy at the LHC with FASER
First Measurement of the Muon Neutrino Interaction Cross Section and Flux as a Function of Energy at the LHC with FASER Open
This Letter presents the measurement of the energy-dependent neutrino-nucleon cross section in tungsten and the differential flux of muon neutrinos and antineutrinos. The analysis is performed using proton-proton collision data at a center…
View article: AthenaTriton: A tool for running machine learning inference as a service in Athena
AthenaTriton: A tool for running machine learning inference as a service in Athena Open
Machine learning (ML)-based algorithms play increasingly important roles in almost all aspects of the data analyses in ATLAS, including detector simulations, event reconstructions, and data analyses. These diverse ML models are being deplo…
View article: CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation Open
We present the results of the "Fast Calorimeter Simulation Challenge 2022" - the CaloChallenge. We study state-of-the-art generative models on four calorimeter shower datasets of increasing dimensionality, ranging from a few hundred voxels…
View article: Shining Light on the Dark Sector: Search for Axion-like Particles and Other New Physics in Photonic Final States with FASER
Shining Light on the Dark Sector: Search for Axion-like Particles and Other New Physics in Photonic Final States with FASER Open
The first FASER search for a light, long-lived particle decaying into a pair of photons is reported. The search uses LHC proton-proton collision data at $\sqrt{s}=13.6~\text{TeV}$ collected in 2022 and 2023, corresponding to an integrated …
View article: Deep learning to improve the sensitivity of Di-Higgs searches in the 4b channel
Deep learning to improve the sensitivity of Di-Higgs searches in the 4b channel Open
A bstract The study of di-Higgs events, both resonant and non-resonant, plays a crucial role in understanding the fundamental interactions of the Higgs boson. In this work we consider di-Higgs events decaying into four b -quarks and propos…
View article: Low Latency Transformer Inference on FPGAs for Physics Applications with hls4ml
Low Latency Transformer Inference on FPGAs for Physics Applications with hls4ml Open
This study presents an efficient implementation of transformer architectures in Field-Programmable Gate Arrays(FPGAs) using hls4ml. We demonstrate the strategy for implementing the multi-head attention, softmax, and normalization layer and…
View article: Highly Nanoporous Nickel Foam as Current Collectors in 3D All-Solid-State Microsupercapacitors
Highly Nanoporous Nickel Foam as Current Collectors in 3D All-Solid-State Microsupercapacitors Open
This study reports a streamlined method for producing a highly nanoporous current collector with a substantial specific surface area, serving as an electrode for microsupercapacitors (MSCs). Initially, commercial Ni foams are patterned int…
View article: Neutrino rate predictions for FASER
Neutrino rate predictions for FASER Open
The Forward Search Experiment (FASER) at CERN’s Large Hadron Collider (LHC) has recently directly detected the first collider neutrinos. Neutrinos play an important role in all FASER analyses, either as signal or background, and it is ther…
View article: Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation
Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation Open
We introduce a novel machine learning method developed for the fast simulation of calorimeter detector response, adapting vector-quantized variational autoencoder (VQ-VAE). Our model adopts a two-stage generation strategy: initially compre…
View article: Machine learning evaluation in the Global Event Processor FPGA for the ATLAS trigger upgrade
Machine learning evaluation in the Global Event Processor FPGA for the ATLAS trigger upgrade Open
The Global Event Processor (GEP) FPGA is an area-constrained, performance-critical element of the Large Hadron Collider's (LHC) ATLAS experiment. It needs to very quickly determine which small fraction of detected events should be retained…
View article: Machine learning evaluation in the Global Event Processor FPGA for the ATLAS trigger upgrade
Machine learning evaluation in the Global Event Processor FPGA for the ATLAS trigger upgrade Open
The Global Event Processor (GEP) FPGA is an area-constrained, performance-critical element of the Large Hadron Collider's (LHC) ATLAS experiment. It needs to very quickly determine which small fraction of detected events should be retained…
View article: The FASER detector
The FASER detector Open
FASER, the ForwArd Search ExpeRiment, is an experiment dedicated to searching for light, extremely weakly-interacting particles at CERN's Large Hadron Collider (LHC). Such particles may be produced in the very forward direction of the LHC'…
View article: Reconstruction of unstable heavy particles using deep symmetry-preserving attention networks
Reconstruction of unstable heavy particles using deep symmetry-preserving attention networks Open
Reconstructing unstable heavy particles requires sophisticated techniques to sift through the large number of possible permutations for assignment of detector objects to the underlying partons. An approach based on a generalized attention …
View article: Graph Neural Network-based Tracking as a Service
Graph Neural Network-based Tracking as a Service Open
Recent studies have shown promising results for track finding in dense environments using Graph Neural Network (GNN)-based algorithms. However, GNN-based track finding is computationally slow on CPUs, necessitating the use of coprocessors …
View article: FPGA Deployment of LFADS for Real-time Neuroscience Experiments
FPGA Deployment of LFADS for Real-time Neuroscience Experiments Open
Large-scale recordings of neural activity are providing new opportunities to study neural population dynamics. A powerful method for analyzing such high-dimensional measurements is to deploy an algorithm to learn the low-dimensional latent…
View article: Ultra Fast Transformers on FPGAs for Particle Physics Experiments
Ultra Fast Transformers on FPGAs for Particle Physics Experiments Open
This work introduces a highly efficient implementation of the transformer architecture on a Field-Programmable Gate Array (FPGA) by using the \texttt{hls4ml} tool. Given the demonstrated effectiveness of transformer models in addressing a …
View article: Detecting highly collimated photon-jets from Higgs boson exotic decays with deep learning
Detecting highly collimated photon-jets from Higgs boson exotic decays with deep learning Open
Recently, there has been a growing focus on the search for anomalous objects beyond standard model (BSM) signatures at the Large Hadron Collider (LHC). This study investigates novel signatures involving highly collimated photons, referred …
View article: Search for dark photons with the FASER detector at the LHC
Search for dark photons with the FASER detector at the LHC Open
The FASER experiment at the LHC is designed to search for light, weakly-interacting particles produced in proton-proton collisions at the ATLAS interaction point that travel in the far-forward direction. The first results from a search for…
View article: Search for Dark Matter using mono-Higgs and the ATLAS Pixel Detector (Final Report)
Search for Dark Matter using mono-Higgs and the ATLAS Pixel Detector (Final Report) Open
A large component of the mass-energy of the universe is composed of dark matter (DM), whose properties and interactions with known particles are not yet understood. Searches for DM at the Large Hadron Collider (LHC) provide important infor…
View article: Anomalous production of massive gauge boson pairs at muon colliders
Anomalous production of massive gauge boson pairs at muon colliders Open
The prospects of searches for anomalous production of hadronically decaying weak boson pairs at proposed high-energy muon colliders are reported. Muon-muon collision events are simulated at $\\sqrt{s}$ = 6, 10, and 30 TeV, corresponding to…