Machine learning in the search for new fundamental physics
Compelling experimental evidence suggests the existence of new physics beyond the well-
established and tested standard model of particle physics. Various current and upcoming …
established and tested standard model of particle physics. Various current and upcoming …
[HTML][HTML] Machine learning for anomaly detection in particle physics
V Belis, P Odagiu, TK Aarrestad - Reviews in Physics, 2024 - Elsevier
The detection of out-of-distribution data points is a common task in particle physics. It is used
for monitoring complex particle detectors or for identifying rare and unexpected events that …
for monitoring complex particle detectors or for identifying rare and unexpected events that …
Classifying anomalies through outer density estimation
A Hallin, J Isaacson, G Kasieczka, C Krause… - Physical Review D, 2022 - APS
We propose a new model-agnostic search strategy for physics beyond the standard model
(BSM) at the LHC, based on a novel application of neural density estimation to anomaly …
(BSM) at the LHC, based on a novel application of neural density estimation to anomaly …
PC-JeDi: Diffusion for particle cloud generation in high energy physics
In this paper, we present a new method to efficiently generate jets in High Energy Physics
called PC-JeDi. This method utilises score-based diffusion models in conjunction with …
called PC-JeDi. This method utilises score-based diffusion models in conjunction with …
Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider
E Govorkova, E Puljak, T Aarrestad, T James… - Nature Machine …, 2022 - nature.com
To study the physics of fundamental particles and their interactions, the Large Hadron
Collider was constructed at CERN, where protons collide to create new particles measured …
Collider was constructed at CERN, where protons collide to create new particles measured …
Anomaly detection in high-energy physics using a quantum autoencoder
The lack of evidence for new interactions and particles at the Large Hadron Collider (LHC)
has motivated the high-energy physics community to explore model-agnostic data-analysis …
has motivated the high-energy physics community to explore model-agnostic data-analysis …
[HTML][HTML] Anomaly detection search for new resonances decaying into a Higgs boson and a generic new particle X in hadronic final states using s= 13 TeV pp collisions …
G Aad, B Abbott, DC Abbott, K Abeling, SH Abidi… - Physical Review …, 2023 - repo.scoap3.org
A search is presented for a heavy resonance Y decaying into a Standard Model Higgs
boson H and a new particle X in a fully hadronic final state. The full Large Hadron Collider …
boson H and a new particle X in a fully hadronic final state. The full Large Hadron Collider …
Resonant anomaly detection without background sculpting
A Hallin, G Kasieczka, T Quadfasel, D Shih… - Physical Review D, 2023 - APS
We introduce a new technique named latent CATHODE (LaCATHODE) for performing
“enhanced bump hunts,” a type of resonant anomaly search that combines conventional one …
“enhanced bump hunts,” a type of resonant anomaly search that combines conventional one …
CURTAINs flows for flows: Constructing unobserved regions with maximum likelihood estimation
Abstract Model independent techniques for constructing background data templates using
generative models have shown great promise for use in searches for new physics processes …
generative models have shown great promise for use in searches for new physics processes …
Full phase space resonant anomaly detection
Physics beyond the Standard Model that is resonant in one or more dimensions has been a
longstanding focus of countless searches at colliders and beyond. Recently, many new …
longstanding focus of countless searches at colliders and beyond. Recently, many new …