A5107388490- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Computational Physics and Python Applications
- Neutrino Physics Research
- Quantum Information and Cryptography
- Radiation Detection and Scintillator Technologies
- Black Holes and Theoretical Physics
- Medical Imaging Techniques and Applications
- Astrophysics and Cosmic Phenomena
- Distributed and Parallel Computing Systems
- Atomic and Subatomic Physics Research
- Quantum Computing Algorithms and Architecture
- Quantum optics and atomic interactions
- Particle Accelerators and Free-Electron Lasers
- Quantum Mechanics and Applications
- Photonic and Optical Devices
- Mechanical and Optical Resonators
- Advanced Data Storage Technologies
- Scientific Computing and Data Management
- Advanced Optical Sensing Technologies
- Optical Network Technologies
California Institute of Technology
2016-2025
Institute of High Energy Physics
2015-2024
Fermi National Accelerator Laboratory
1996-2024
University of Antwerp
2024
A. Alikhanyan National Laboratory
2022-2024
Carnegie Mellon University
2014-2023
Kellogg's (Canada)
2023
ETH Zurich
2012-2021
University of Kansas
2018
Northeastern University
2018
A bstract Using variational autoencoders trained on known physics processes, we develop a one-sided threshold test to isolate previously unseen processes as outlier events. Since the autoencoder training does not depend any specific new signature, proposed procedure doesn’t make assumptions nature of physics. An event selection based this algorithm would be complementary classic LHC searches, typically model-dependent hypothesis testing. Such an deliver list anomalous events, that...
Using detailed simulations of calorimeter showers as training data, we investigate the use deep learning algorithms for simulation and reconstruction particles produced in high-energy physics collisions. We train neural networks on shower data at calorimeter-cell level, show significant improvements when using these compared to methods which rely currently-used state-of-the-art algorithms. define two models: an end-to-end network performs simultaneous particle identification energy...
The discovery of a Higgs particle is possible in variety search channels at the LHC. However, true identity any putative boson will, first, remain ambiguous until one has experimentally excluded other assignments quantum numbers and couplings. We quantify degree to which can discriminate standard model from ``look-alikes'' at, or close to, moment focus on fully-reconstructible golden decay mode pair $Z$ bosons four-lepton final state. Considering both on-shell off-shell $Z$'s, we show how...
We investigate the performance of a jet identification algorithm based on interaction networks (JEDI-net) to identify all-hadronic decays high-momentum heavy particles produced at LHC and distinguish them from ordinary jets originating hadronization quarks gluons. The dynamics are described as set one-to-one interactions between constituents. Based representation learned these interactions, is associated one considered categories. Unlike other architectures, JEDI-net models achieve their...
Quantum transduction, the process of converting quantum signals from one form energy to another, is an important area science and technology. The present perspective article reviews transduction between microwave optical photons, that has recently seen a lot activity progress because its relevance for connecting superconducting processors over long distances, among other applications. Our review covers leading approaches achieving such with emphasis on those based atomic ensembles,...
Just as classical information technology rests on a foundation built of interconnected information-processing systems, quantum (QIT) must do the same. A critical component such systems is interconnect, device or process that allows transfer between disparate physical media, for example, semiconductor electronics, individual atoms, light pulses in optical fiber, microwave fields. While interconnects have been well engineered decades realm technology, (QuICs) present special challenges, they...
Pattern recognition problems in high energy physics are notably different from traditional machine learning applications computer vision. Reconstruction algorithms identify and measure the kinematic properties of particles produced collisions recorded with complex detector systems. Two critical reconstruction charged particle trajectories tracking detectors showers calorimeters. These two have unique challenges characteristics, but both dimensionality, degree sparsity, geometric layouts....
We interpret within the phenomenological MSSM (pMSSM) results of SUSY searches published by CMS collaboration based on first ~1 fb^-1 data taken during 2011 LHC run at 7 TeV. The pMSSM is a 19-dimensional parametrization that captures most its features. It encompasses, and goes beyond, broad range more constrained models. Performing global Bayesian analysis, we obtain posterior probability densities parameters, masses derived observables. In contrast to constraints for particular breaking...
We develop an algorithm based on interaction network to identify high-transverse-momentum Higgs bosons decaying bottom quark-antiquark pairs and distinguish them from ordinary jets that reflect the configurations of quarks gluons at short distances. The algorithm's inputs are features reconstructed charged particles in a jet secondary vertices associated with them. Describing shower as combination particle-to-particle particle-to-vertex interactions, model is trained learn representation...
The Exa.TrkX project has applied geometric learning concepts such as metric and graph neural networks to HEP particle tracking. Exa.TrkX's tracking pipeline groups detector measurements form track candidates filters them. pipeline, originally developed using the TrackML dataset (a simulation of an LHC-inspired detector), been demonstrated on other detectors, including DUNE Liquid Argon TPC CMS High-Granularity Calorimeter. This paper documents new developments needed study physics computing...
Superconducting nanowire single-photon detectors are a key technology for quantum information and science due to their high efficiency, low timing jitter, dark counts. In this work, we present detector single 1550 nm photons with up 78% detection jitter below 50 ps FWHM, 158 counts/s count rate, as well maximum rate of 1.5 giga-counts/s at 3 dB compression. The PEACOQ (Performance-Enhanced Array Counting Optical Quanta) comprises linear array 32 straight superconducting niobium nitride...
The Illinois Express Quantum Network (IEQNET) is a program to realize metropolitan scale quantum networking over deployed optical fiber using currently available technology. IEQNET consists of multiple sites that are geographically dispersed in the Chicago area. Each site has one or more nodes (Q-Nodes) representing communication parties network. Q-Nodes generate measure signals such as entangled photons and communicate measurement results via standard, classical conventional processes....
Superconducting nanowire single-photon detectors (SNSPDs) are the highest-performance photon-counting technology in near infrared, but traditional designs typically trade off between timing resolution and detection efficiency. The authors utilize transmission-line engineering differential readout to achieve a design with high efficiency low jitter simultaneously. This also enables imaging capabilities photon-number resolution, is compatible commercial time taggers. device versatile solution...
The possibility that spacetime is extended beyond the familiar 3+1-dimensions has intrigued physicists for a century. Indeed, consequences of dimensionally richer would be profound. Recently, new theories with higher dimensional spacetimes have been developed to resolve hierarchy problem in particle physics. These scenarios make distinct predictions which allow experiment probe existence extra dimensions ways. We review conceptual framework these scenarios, their implications collider and...
We investigate how a Generative Adversarial Network could be used to generate list of particle four-momenta from LHC proton collisions, allowing one define generative model that abstract the irregularities typical detector geometries. As an example application, we show such architecture as generator parasitic collisions (pileup). present two approaches events: unconditional and conditioned on missing transverse energy. assess generation performances in realistic data-analysis environment,...
Deterministic generation of single photons is essential for many quantum information technologies. A bulk optical nonlinearity emitting a photon pair, where the measurement one heralds presence other, commonly used with caveat that single-photon emission rate constrained due to trade-off between multiphoton events and pair rate. Using an efficient low noise photon-number-resolving superconducting nanowire detector we herald, in real time, at telecommunication wavelength. We perform...
Superconducting nanowire single photon detectors (SNSPDs) are the highest-performing technology for time-resolved single-photon counting from UV to near-infrared. The recent discovery of sensitivity in micrometer-scale superconducting wires is a promising pathway explore large active area devices with application dark matter searches and fundamental physics experiments. We present 8-pixel 1 mm2 microwire (SMSPDs) μm-wide fabricated WSi MoSi films various stoichiometries using electron-beam...
Entanglement distribution based on time-bin qubits is an attractive option for emerging quantum networks. We demonstrate a 4.09-GHz repetition rate source of photon pairs entangled across early and late time bins separated by 80 ps. Simultaneous high rates visibilities are achieved through frequency multiplexing the spontaneous parametric down conversion output into eight channel pairs. entanglement as 99.4%, total up to 3.55×10 6 coincidences/s, predict straightforward path towards...
Abstract We present the first detailed study of an 8-channel 2×2 mm 2 WSi superconducting microwire single photon detector (SMSPD) array exposed to 120 GeV proton beam and 8 electron pion at Fermilab Test Beam Facility. The SMSPD detection efficiency was measured for time protons, electrons, pions, enabled by use a silicon tracking telescope that provided precise spatial resolution 30 μm protons 130 electrons pions. result demonstrated consistent across pixels different bias currents. Time...
We present an analysis of the discovery reach for supersymmetric particles at upgraded Tevatron collider, assuming that SUSY breaking results in universal soft parameters grand unification scale, and lightest particle is stable neutral. first a review literature, including issues unification, renormalization group evolution supersymmetry effect radiative corrections on effective low energy couplings masses theory. consider experimental bounds coming from direct searches those arising...