:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Gardiner, Steven
Format:	Preprint
Published:	2024
Subjects:	High Energy Physics - Experiment Data Analysis, Statistics and Probability
Online Access:	https://arxiv.org/abs/2401.04065
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Post-hoc regularisation of unfolded cross-section measurements
by: Koch, Lukas
Published: (2022)

Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties
by: Benato, Lisa, et al.
Published: (2025)

Impact of recent updates to neutrino oscillation parameters on the effective Majorana neutrino mass in 0$νββ$ Decay
by: Mei, Dongming, et al.
Published: (2024)

An importance sampling method for Feldman-Cousins confidence intervals
by: Berns, Lukas
Published: (2023)

SwdFold:A Reweighting and Unfolding method based on Optimal Transport Theory
by: Pan, Chu-Cheng, et al.
Published: (2024)

Monte Carlo method for constructing confidence intervals with unconstrained and constrained nuisance parameters in the NOvA experiment
by: Acero, M. A., et al.
Published: (2022)

Machine Learning-Assisted Unfolding for Neutrino Cross-section Measurements with the OmniFold Technique
by: Huang, Roger G., et al.
Published: (2025)

Accurate and robust methods for direct background estimation in resonant anomaly detection
by: Das, Ranit, et al.
Published: (2024)

Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb
by: Boggia, Laura, et al.
Published: (2025)

OmniJet-$α$: The first cross-task foundation model for particle physics
by: Birk, Joschka, et al.
Published: (2024)

Exotic and physics-informed support vector machines for high energy physics
by: Ramirez-Morales, A., et al.
Published: (2024)

Under-coverage in high-statistics counting experiments with finite MC samples
by: Alexe, Cristina-Andreea, et al.
Published: (2024)

Normalizing Flows for Domain Adaptation when Identifying $Λ$ Hyperon Events
by: Kelleher, Rowan, et al.
Published: (2024)

Run 3 performance and advances in heavy-flavor jet tagging in CMS
by: Sarkar, Uttiya
Published: (2024)

A Statistical Method for Improving Momentum Measurement of Photon Conversions Reconstructed from Single Electrons
by: Bingül, Ahmet, et al.
Published: (2024)

RootInteractive tool for multidimensional statistical analysis, machine learning and analytical model validation
by: Ivanov, Marian, et al.
Published: (2024)

Deep Probabilistic Direction Prediction in 3D with Applications to Directional Dark Matter Detectors
by: Ghrear, Majd, et al.
Published: (2024)

A simple tool for weighted averaging of inconsistent data sets
by: Trassinelli, Martino, et al.
Published: (2024)

Study of the decay and production properties of $D_{s1}(2536)$ and $D_{s2}^*(2573)$
by: Ablikim, M., et al.
Published: (2024)

A unified machine learning approach for reconstructing hadronically decaying tau leptons
by: Tani, Laurits, et al.
Published: (2024)

Large-Scale Pretraining and Finetuning for Efficient Jet Classification in Particle Physics
by: Zhao, Zihan, et al.
Published: (2024)

Anomaly-aware summary statistic from data batches
by: Grosso, Gaia
Published: (2024)

Visualization for physics analysis improvement and applications in BESIII
by: Li, Zhi-Jun, et al.
Published: (2024)

An implementation of neural simulation-based inference for parameter estimation in ATLAS
by: ATLAS Collaboration
Published: (2024)

Sparks in the Dark
by: Gudnadottir, Olga Sunneborn, et al.
Published: (2024)

XENONnT Analysis: Signal Reconstruction, Calibration and Event Selection
by: XENON Collaboration, et al.
Published: (2024)

High Level Reconstruction with Deep Learning using ILD Full Simulation
by: Suehara, Taikan, et al.
Published: (2024)

The CMS statistical analysis and combination tool: COMBINE
by: CMS Collaboration
Published: (2024)

Photon Classification with Gradient Boosted Trees at CLAS12
by: Matousek, Gregory, et al.
Published: (2024)

Machine Learning in High Energy Physics: A review of heavy-flavor jet tagging at the LHC
by: Mondal, Spandan, et al.
Published: (2024)

Gradient-descent-based reconstruction for muon tomography based on automatic differentiation in PyTorch
by: Alameddine, Jean-Marco, et al.
Published: (2025)

Improved Asymptotic Formulae for Statistical Interpretation Based on Likelihood Ratio Tests
by: Xia, Li-Gang, et al.
Published: (2021)

Uncertainty Quantification and Propagation for ACORN, a geometric deep learning tracking pipeline for HEP experiments
by: Péron, Lukas, et al.
Published: (2025)

Systematic Uncertainties in Unfolding Considering the Likelihood Formalism
by: Brenner, Lydia, et al.
Published: (2025)

Cosmic-ray tomography of shipping containers: A combination of complementary secondary particle and muon information using simulations
by: Prada, Maximilian Pérez, et al.
Published: (2025)

Learning the Standard Model Manifold: Bayesian Latent Diffusion for Collider Anomaly Detection
by: Patel, Jigar, et al.
Published: (2026)

Wasserstein normalized autoencoder for anomaly detection
by: CMS Collaboration
Published: (2025)

Fast Posterior Probability Sampling with Normalizing Flows and Its Applicability in Bayesian analysis in Particle Physics
by: Baz, Mathias El, et al.
Published: (2023)

A lightweight analysis farm for fundamental physics experiments
by: Brommer, Sebastian, et al.
Published: (2025)

Uncertainty components in profile likelihood fits
by: Pinto, Andrés, et al.
Published: (2023)