Publications (233)
Automating the Construction of Jet Observables with Machine Learning
Kaustuv Datta, Andrew Larkoski, Benjamin Nachman
When, Where, and How to Open Data: A Personal Perspective
Benjamin Nachman
Nonlocal Thresholds for Improving the Spatial Resolution of Pixel Detectors
Benjamin Nachman, Alex Spies
Searching for Anomalies with Foundation Models
Vinicius Mikuni, Benjamin Nachman
Overcoming exponential scaling with system size in Trotter-Suzuki implementations of constrained Hamiltonians: 2+1 U(1) lattice gauge theories
Dorota M. Grabowska, Christopher Kane, Benjamin Nachman +1
Improving Generative Model-based Unfolding with Schrödinger Bridges
Sascha Diefenbacher, Guan-Horng Liu, Vinicius Mikuni +2
Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data
Rikab Gambhir, Radha Mastandrea, Benjamin Nachman +1
FlexCAST: Enabling Flexible Scientific Data Analyses
Benjamin Nachman, Dennis Noll
Report of the 2021 U.S. Community Study on the Future of Particle Physics (Snowmass 2021) Summary Chapter
Joel N. Butler, R. Sekhar Chivukula, André de Gouvêa +40
Unfolding Quantum Computer Readout Noise
Benjamin Nachman, Miroslav Urbanek, Wibe A. de Jong +1
The Road Ahead for CODEX-b
Giulio Aielli, Juliette Alimena, James Beacham +36
Neural Posterior Unfolding
Fernando Torales Acosta, Jay Chan, Krish Desai +4
Machine Learning in the Search for New Fundamental Physics
Georgia Karagiorgi, Gregor Kasieczka, Scott Kravitz +2
Unbinned measurement of thrust in $e^+e^-$ collisions at $\sqrt{s}$ = 91.2 GeV with ALEPH archived data
The Electron-Positron Alliance, :, Anthony Badea +17
Anomaly detection with flow-based fast calorimeter simulators
Claudius Krause, Benjamin Nachman, Ian Pang +2
Ephemeral Learning -- Augmenting Triggers with Online-Trained Normalizing Flows
Anja Butter, Sascha Diefenbacher, Gregor Kasieczka +4
Unbinned Profiled Unfolding
Jay Chan, Benjamin Nachman
Geometry Optimization for Long-lived Particle Detectors
Thomas Gorordo, Simon Knapen, Benjamin Nachman +2
Online-compatible Unsupervised Non-resonant Anomaly Detection
Vinicius Mikuni, Benjamin Nachman, David Shih
A Neural Resampler for Monte Carlo Reweighting with Preserved Uncertainties
Benjamin Nachman, Jesse Thaler
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457
Superposition Coding is Almost Always Optimal for the Poisson Broadcast Channel
Hyeji Kim, Benjamin Nachman, Abbas El Gamal
Computationally Efficient Zero Noise Extrapolation for Quantum Gate Error Mitigation
Vincent R. Pascuzzi, Andre He, Christian W. Bauer +2
Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation
Fernando Torales Acosta, Vinicius Mikuni, Benjamin Nachman +5
A Scientific Human-Agent Reproduction Pipeline
Joschka Birk, Gregor Kasieczka, Siddharth Mishra-Sharma +3
Tools for Unbinned Unfolding
Ryan Milton, Vinicius Mikuni, Trevin Lee +3
Observables for possible QGP signatures in central pp collisions
Michelangelo L. Mangano, Benjamin Nachman
The Interplay of Machine Learning--based Resonant Anomaly Detection Methods
Tobias Golling, Gregor Kasieczka, Claudius Krause +6
Fitting a Deep Generative Hadronization Model
Jay Chan, Xiangyang Ju, Adam Kania +3
Machine Learning Templates for QCD Factorization in the Search for Physics Beyond the Standard Model
Joshua Lin, Wahid Bhimji, Benjamin Nachman
Machine Learning-based Unfolding for Cross Section Measurements in the Presence of Nuisance Parameters
Huanbiao Zhu, Krish Desai, Mikael Kuusela +3
Preserving New Physics while Simultaneously Unfolding All Observables
Patrick Komiske, W. Patrick McCormack, Benjamin Nachman
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation
Andreas Adelmann, Walter Hopkins, Evangelos Kourlitis +8
Extracting the Top-Quark Width from Non-Resonant Production
Christian Herwig, Tomáš Ježo, Benjamin Nachman
Anomaly Detection with Density Estimation
Benjamin Nachman, David Shih
The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics
Gregor Kasieczka, Benjamin Nachman, David Shih +44
Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning
Andrew J. Larkoski, Ian Moult, Benjamin Nachman
Multidimensional Deconvolution with Profiling
Huanbiao Zhu, Krish Desai, Mikael Kuusela +3
Technical design report for the CODEX-$β$ demonstrator
b collaboration, Giulio Aielli, Juliette Alimena +56
AI Safety for High Energy Physics
Benjamin Nachman, Chase Shimmin
A Bottom Line for the LHC Data by Leveraging Pileup as a Zero Bias Trigger
Benjamin Nachman, Francesco Rubbo
Unbinned Inference with Correlated Events
Krish Desai, Owen Long, Benjamin Nachman
Snowmass2021 Cosmic Frontier: Modeling, statistics, simulations, and computing needs for direct dark matter detection
Yonatan Kahn, Maria Elena Monzani, Kimberly J. Palladino +34
GANplifying Event Samples
Anja Butter, Sascha Diefenbacher, Gregor Kasieczka +2
Ultra Fast Calorimeter Simulation with Generative Machine Learning on FPGAs
P. Alex May, Qibin Liu, Julia Gonski +1
Stabilizing Neural Likelihood Ratio Estimation
Fernando Torales Acosta, Tanvi Wamorkar, Vinicius Mikuni +1
EveNet: A Foundation Model for Particle Collision Data Analysis
Ting-Hsiang Hsu, Bai-Hong Zhou, Qibin Liu +8
Efficient quantum implementation of 2+1 U(1) lattice gauge theories with Gauss law constraints
Christopher Kane, Dorota M. Grabowska, Benjamin Nachman +1
An AI-ready, Polarized Electron-Positron Collision Dataset
Chi Lung Cheng, Simon Corrodi, T. J. Hobbs +2
Neural Networks for Full Phase-space Reweighting and Parameter Tuning
Anders Andreassen, Benjamin Nachman
Jet and photon measurements with ATLAS
Benjamin Nachman
Full Phase Space Resonant Anomaly Detection
Erik Buhmann, Cedric Ewen, Gregor Kasieczka +3
Leveraging the ALICE/L3 cavern for long-lived exotics
Vladimir V. Gligorov, Simon Knapen, Benjamin Nachman +2
Generalizable Foundation Models for Calorimetry via Mixtures-of-Experts and Parameter Efficient Fine Tuning
Carlos Cardona-Giraldo, Cristiano Fanelli, James Giroux +3
The Landscape of Unfolding with Machine Learning
Nathan Huetsch, Javier Mariño Villadamigo, Alexander Shmakov +9
Sneaky light stop
Till Eifert, Benjamin Nachman
Pre-Training for Simulation-Based Science: A Study on Jet Foundation Model Training Objectives
Ibrahim Elsharkawy, Joschka Birk, Vinicius Mikuni +3
New Methods and Datasets for Group Anomaly Detection From Fundamental Physics
Gregor Kasieczka, Benjamin Nachman, David Shih
ELSA -- Enhanced latent spaces for improved collider simulations
Benjamin Nachman, Ramon Winterhalder
E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once
Benjamin Nachman, Jesse Thaler
Solving Key Challenges in Collider Physics with Foundation Models
Vinicius Mikuni, Benjamin Nachman
Readout Rebalancing for Near Term Quantum Computers
Rebecca Hicks, Christian W. Bauer, Benjamin Nachman
Overcoming exponential volume scaling in quantum simulations of lattice gauge theories
Christopher F. Kane, Dorota M. Grabowska, Benjamin Nachman +1
Modeling Radiation Damage to Pixel Sensors in the ATLAS Detector
Benjamin Nachman
Anomaly Detection for Resonant New Physics with Machine Learning
Jack H. Collins, Kiel Howe, Benjamin Nachman
Investigating the Quantum Properties of Jets and the Search for a Supersymmetric Top Quark Partner with the ATLAS Detector
Benjamin Nachman
Error detection on quantum computers improves accuracy of chemical calculations
Miroslav Urbanek, Benjamin Nachman, Wibe A. de Jong
Learning to Classify from Impure Samples with High-Dimensional Data
Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman +1
High-dimensional and Permutation Invariant Anomaly Detection
Vinicius Mikuni, Benjamin Nachman
FAIR Universe HiggsML Uncertainty Dataset and Competition
Lisa Benato, Wahid Bhimji, Paolo Calafiura +26
Self-supervised Anomaly Detection for New Physics
Barry M. Dillon, Radha Mastandrea, Benjamin Nachman
Boosting $H\to b\bar b$ with Machine Learning
Joshua Lin, Marat Freytsis, Ian Moult +1
OmniCosmos: Transferring Particle Physics Knowledge Across the Cosmos
Vinicius Mikuni, Ibrahim Elsharkawy, Benjamin Nachman
The Impact of Incorporating Shell-corrections to Energy Loss in Silicon
Fuyue Wang, Su Dong, Benjamin Nachman +2
A guide for deploying Deep Learning in LHC searches: How to achieve optimality and account for uncertainty
Benjamin Nachman
Pileup Mitigation with Machine Learning (PUMML)
Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman +1
A Practical Guide to Unbinned Unfolding
Florencia Canelli, Kyle Cormier, Andrew Cudd +12
Quantum Gate Pattern Recognition and Circuit Optimization for Scientific Applications
Wonho Jang, Koji Terashi, Masahiko Saito +7
A Meta-analysis of the 8 TeV ATLAS and CMS SUSY Searches
Benjamin Nachman, Tom Rudelius
Jets from Jets: Re-clustering as a tool for large radius jet reconstruction and grooming at the LHC
Benjamin Nachman, Pascal Nef, Ariel Schwartzman +2
Neural Conditional Reweighting
Benjamin Nachman, Jesse Thaler
Safe but Incalculable: Energy-weighting is not all you need
Samuel Bright-Thonney, Benjamin Nachman, Jesse Thaler
Fast Point Cloud Generation with Diffusion Models in High Energy Physics
Vinicius Mikuni, Benjamin Nachman, Mariel Pettee
Incorporating Physical Priors into Weakly-Supervised Anomaly Detection
Chi Lung Cheng, Gup Singh, Benjamin Nachman
FETA: Flow-Enhanced Transportation for Anomaly Detection
Tobias Golling, Samuel Klein, Radha Mastandrea +1
Reweighting Adversarial Networks for Unbinned Unfolding
Umar Sohail Qureshi, Krish Desai, Jesse Thaler +1
Efficiently Moving Instead of Reweighting Collider Events with Machine Learning
Radha Mastandrea, Benjamin Nachman
Resource Efficient Zero Noise Extrapolation with Identity Insertions
Andre He, Benjamin Nachman, Wibe A. de Jong +1
Learning Likelihood Ratios with Neural Network Classifiers
Shahzar Rizvi, Mariel Pettee, Benjamin Nachman
Generative Unfolding with Distribution Mapping
Anja Butter, Sascha Diefenbacher, Nathan Huetsch +4
Unfolding with a Wasserstein Loss
Katy Craig, Benjamin Faktor, Benjamin Nachman
Learning to Isolate Muons in Data
Edmund Witkowski, Benjamin Nachman, Daniel Whiteson
Optimal use of Charge Information for the HL-LHC Pixel Detector Readout
Yitian Chen, Evan Frangipane, Maurice Garcia-Sciveres +4
Signal-Aware Contrastive Latent Spaces for Anomaly Detection
Runze Li, Benjamin Nachman, Dennis Noll
Rejection Sampling with Autodifferentiation - Case study: Fitting a Hadronization Model
Nick Heller, Phil Ilten, Tony Menzo +5
Improving Quantum Simulation Efficiency of Final State Radiation with Dynamic Quantum Circuits
Plato Deliyannis, James Sud, Diana Chamaki +3
Parametrizing the Detector Response with Neural Networks
Sanha Cheong, Aviv Cukierman, Benjamin Nachman +2
Seeing Double: Calibrating Two Jets at Once
Rikab Gambhir, Benjamin Nachman
Generation of Imaging Air Cherenkov Telescope images using Diffusion Models
Christian Elflein, Stefan Funk, Jonas Glombitza +3
Parnassus: A GPU-enabled, Python-based Package for Fast Particle Detector Simulation and Reconstruction
Abdelrahman Elabd, Eilam Gross, Dmitrii Kobylianskii +1