Log Gaussian Cox Process Background Modeling in High Energy Physics
Fuente:
arXiv
Saved in:
| Main Authors: | Frid, Yuval, Barak, Liron, Jairam, Pavani, Kagan, Michael, Hyneman, Rachel Jordan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models
by: Golling, Tobias, et al.
Published: (2024)
by: Golling, Tobias, et al.
Published: (2024)
Non-resonant Anomaly Detection with Background Extrapolation
by: Bai, Kehang, et al.
Published: (2023)
by: Bai, Kehang, et al.
Published: (2023)
Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models
by: Pazos, Camila, et al.
Published: (2024)
by: Pazos, Camila, et al.
Published: (2024)
A Quantum Algorithm for Model-Independent Searches for New Physics
by: Matchev, Konstantin T., et al.
Published: (2020)
by: Matchev, Konstantin T., et al.
Published: (2020)
Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning
by: Gandrakota, Abhijith, et al.
Published: (2024)
by: Gandrakota, Abhijith, et al.
Published: (2024)
Neural Scaling Laws for Boosted Jet Tagging
by: Vigl, Matthias, et al.
Published: (2026)
by: Vigl, Matthias, et al.
Published: (2026)
Observable Optimization for Precision Theory: Machine Learning Energy Correlators
by: Bhattacharya, Arindam, et al.
Published: (2025)
by: Bhattacharya, Arindam, et al.
Published: (2025)
Anomaly Detection in Collider Physics via Factorized Observables
by: Metodiev, Eric M., et al.
Published: (2023)
by: Metodiev, Eric M., et al.
Published: (2023)
Physics and Computing Performance of the EggNet Tracking Pipeline
by: Chan, Jay, et al.
Published: (2025)
by: Chan, Jay, et al.
Published: (2025)
Sensitivity to New Physics Phenomena in Anomaly Detection: A Study of Untunable Hyperparameters
by: de Souza, Fernando Abreu, et al.
Published: (2025)
by: de Souza, Fernando Abreu, et al.
Published: (2025)
Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport
by: Manole, Tudor, et al.
Published: (2022)
by: Manole, Tudor, et al.
Published: (2022)
Enhancing Photon Identification with Neural Network Methods
by: Frid, Yuval, et al.
Published: (2025)
by: Frid, Yuval, et al.
Published: (2025)
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
by: Spinner, Jonas, et al.
Published: (2024)
by: Spinner, Jonas, et al.
Published: (2024)
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics
by: Kofler, Annalena, et al.
Published: (2024)
by: Kofler, Annalena, et al.
Published: (2024)
Graph theory inspired anomaly detection at the LHC
by: Araz, Jack Y., et al.
Published: (2025)
by: Araz, Jack Y., et al.
Published: (2025)
FlexCAST: Enabling Flexible Scientific Data Analyses
by: Nachman, Benjamin, et al.
Published: (2025)
by: Nachman, Benjamin, et al.
Published: (2025)
Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data
by: Gambhir, Rikab, et al.
Published: (2025)
by: Gambhir, Rikab, et al.
Published: (2025)
Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties
by: Benato, Lisa, et al.
Published: (2025)
by: Benato, Lisa, et al.
Published: (2025)
Double Metric Learning for Building Directed Graphs with Chain Connections for the ATLAS ITk Detector
by: Chan, Jay
Published: (2026)
by: Chan, Jay
Published: (2026)
Seeing Double: Calibrating Two Jets at Once
by: Gambhir, Rikab, et al.
Published: (2024)
by: Gambhir, Rikab, et al.
Published: (2024)
Accelerating Resonance Searches via Signature-Oriented Pre-training
by: Li, Congqiao, et al.
Published: (2024)
by: Li, Congqiao, et al.
Published: (2024)
Why Is Attention Sparse In Particle Transformer?
by: Legge, Timothy, et al.
Published: (2025)
by: Legge, Timothy, et al.
Published: (2025)
Look everywhere effects in anomaly detection
by: Hein, Marie, et al.
Published: (2025)
by: Hein, Marie, et al.
Published: (2025)
Resummed Distribution Functions: Making Perturbation Theory Positive and Normalized
by: Gambhir, Rikab, et al.
Published: (2025)
by: Gambhir, Rikab, et al.
Published: (2025)
Accurate and robust methods for direct background estimation in resonant anomaly detection
by: Das, Ranit, et al.
Published: (2024)
by: Das, Ranit, et al.
Published: (2024)
stanhf: HistFactory models in the probabilistic programming language Stan
by: Fowlie, Andrew
Published: (2025)
by: Fowlie, Andrew
Published: (2025)
Tools for Unbinned Unfolding
by: Milton, Ryan, et al.
Published: (2025)
by: Milton, Ryan, et al.
Published: (2025)
Automatizing the search for mass resonances using BumpNet
by: Arguin, Jean-Francois, et al.
Published: (2025)
by: Arguin, Jean-Francois, et al.
Published: (2025)
On the Statistical Interpretation of Discoveries in LHC Data
by: Chekanov, S. V., et al.
Published: (2026)
by: Chekanov, S. V., et al.
Published: (2026)
Searching for Anomalies with Foundation Models
by: Mikuni, Vinicius, et al.
Published: (2026)
by: Mikuni, Vinicius, et al.
Published: (2026)
Effective Lagrangian Morphing
by: Balasubramanian, Rahul, et al.
Published: (2022)
by: Balasubramanian, Rahul, et al.
Published: (2022)
Kitchen Sink Anomaly Detection
by: Das, Ranit, et al.
Published: (2026)
by: Das, Ranit, et al.
Published: (2026)
Classifier Surrogates: Sharing AI-based Searches with the World
by: Bieringer, Sebastian, et al.
Published: (2024)
by: Bieringer, Sebastian, et al.
Published: (2024)
Event-by-event Comparison between Machine-Learning- and Transfer-Matrix-based Unfolding Methods
by: Backes, Mathias, et al.
Published: (2023)
by: Backes, Mathias, et al.
Published: (2023)
Cluster Scanning: a novel approach to resonance searches
by: Oleksiyuk, Ivan, et al.
Published: (2024)
by: Oleksiyuk, Ivan, et al.
Published: (2024)
Jet Tagging with More-Interaction Particle Transformer
by: Wu, Yifan, et al.
Published: (2024)
by: Wu, Yifan, et al.
Published: (2024)
Precise interpretations of traditional fine-tuning measures
by: Fowlie, Andrew, et al.
Published: (2024)
by: Fowlie, Andrew, et al.
Published: (2024)
The Interplay of Machine Learning--based Resonant Anomaly Detection Methods
by: Golling, Tobias, et al.
Published: (2023)
by: Golling, Tobias, et al.
Published: (2023)
Full Phase Space Resonant Anomaly Detection
by: Buhmann, Erik, et al.
Published: (2023)
by: Buhmann, Erik, et al.
Published: (2023)
Parton Labeling without Matching: Unveiling Emergent Labelling Capabilities in Regression Models
by: Qiu, Shikai, et al.
Published: (2023)
by: Qiu, Shikai, et al.
Published: (2023)
Similar Items
-
Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models
by: Golling, Tobias, et al.
Published: (2024) -
Non-resonant Anomaly Detection with Background Extrapolation
by: Bai, Kehang, et al.
Published: (2023) -
Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models
by: Pazos, Camila, et al.
Published: (2024) -
A Quantum Algorithm for Model-Independent Searches for New Physics
by: Matchev, Konstantin T., et al.
Published: (2020) -
Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning
by: Gandrakota, Abhijith, et al.
Published: (2024)