Cover Image

Sensitivity to New Physics Phenomena in Anomaly Detection: A Study of Untunable Hyperparameters

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	de Souza, Fernando Abreu, Barros, Maura, Castro, Nuno Filipe, Romão, Miguel Crispim, Neiva, Céu, Pedro, Rute
Format:	Preprint
Published:	2025
Subjects:	High Energy Physics - Phenomenology High Energy Physics - Experiment Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring Scotogenic Parameter Spaces and Mapping Uncharted Dark Matter Phenomenology with Multi-Objective Search Algorithms
by: de Souza, Fernando Abreu, et al.
Published: (2025)

Combining Evolutionary Strategies and Novelty Detection to go Beyond the Alignment Limit of the $Z_3$ 3HDM
by: Romão, Jorge Crispim, et al.
Published: (2024)

Machine Learning insights on the Z3 3HDM with Dark Matter
by: de Souza, Fernando Abreu, et al.
Published: (2026)

Unearthing large pseudoscalar Yukawa couplings with Machine Learning
by: de Souza, Fernando Abreu, et al.
Published: (2025)

Modular Family Symmetry in Fluxed GUTs
by: Basiouris, Vasileios, et al.
Published: (2024)

Symbolic Regression for Beyond the Standard Model Physics
by: AbdusSalam, Shehu, et al.
Published: (2024)

Searching for Anomalies with Foundation Models
by: Mikuni, Vinicius, et al.
Published: (2026)

Kitchen Sink Anomaly Detection
by: Das, Ranit, et al.
Published: (2026)

Non-resonant Anomaly Detection with Background Extrapolation
by: Bai, Kehang, et al.
Published: (2023)

Full Phase Space Resonant Anomaly Detection
by: Buhmann, Erik, et al.
Published: (2023)

Complete Optimal Non-Resonant Anomaly Detection
by: Kasieczka, Gregor, et al.
Published: (2024)

Anomaly Detection in Collider Physics via Factorized Observables
by: Metodiev, Eric M., et al.
Published: (2023)

Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data
by: Gambhir, Rikab, et al.
Published: (2025)

The Interplay of Machine Learning--based Resonant Anomaly Detection Methods
by: Golling, Tobias, et al.
Published: (2023)

Quantifying vacuum-like jets in heavy-ion collisions: a Machine Learning study
by: Romão, Miguel Crispim, et al.
Published: (2025)

Microlensing signatures of extended dark objects using machine learning
by: Romão, Miguel Crispim, et al.
Published: (2024)

Jet evolution in a quantum computer: quark and gluon dynamics
by: Castro, Nuno Filipe, et al.
Published: (2025)

Anomaly Detection to identify Transients in LSST Time Series Data
by: Romao, Miguel Crispim, et al.
Published: (2025)

SIGMA: Single Interpolated Generative Model for Anomalies
by: Das, Ranit, et al.
Published: (2024)

Rediscovering the Standard Model with AI
by: Abdelhaq, Aya, et al.
Published: (2025)

Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning
by: Gandrakota, Abhijith, et al.
Published: (2024)

Stabilizing Neural Likelihood Ratio Estimation
by: Acosta, Fernando Torales, et al.
Published: (2025)

Tools for Unbinned Unfolding
by: Milton, Ryan, et al.
Published: (2025)

A Quantum Algorithm for Model-Independent Searches for New Physics
by: Matchev, Konstantin T., et al.
Published: (2020)

Machine Learning
by: Duarte, Javier M., et al.
Published: (2025)

QCD Theory meets Information Theory
by: Assi, Benoît, et al.
Published: (2025)

A Practical Guide to Unbinned Unfolding
by: Canelli, Florencia, et al.
Published: (2025)

Accelerating HEP simulations with Neural Importance Sampling
by: Deutschmann, Nicolas, et al.
Published: (2024)

Fast multilabel classification of HEP constraints with deep learning
by: Binjonaid, Maien
Published: (2024)

Universal New Physics Latent Space
by: Hallin, Anna, et al.
Published: (2024)

Natural Anomaly Matching
by: Bolognesi, Stefano, et al.
Published: (2024)

Anomalies in Particle Physics
by: Crivellin, Andreas, et al.
Published: (2023)

Universality of Neural Network Field Theory
by: Ferko, Christian, et al.
Published: (2026)

Graph theory inspired anomaly detection at the LHC
by: Araz, Jack Y., et al.
Published: (2025)

FlexCAST: Enabling Flexible Scientific Data Analyses
by: Nachman, Benjamin, et al.
Published: (2025)

Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties
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)

Seeing Double: Calibrating Two Jets at Once
by: Gambhir, Rikab, et al.
Published: (2024)

Accelerating Resonance Searches via Signature-Oriented Pre-training
by: Li, Congqiao, et al.
Published: (2024)

Why Is Attention Sparse In Particle Transformer?
by: Legge, Timothy, et al.
Published: (2025)