:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autor principal:	ATLAS Collaboration
Formato:	Preprint
Publicado:	2024
Materias:	Data Analysis, Statistics and Probability High Energy Physics - Experiment
Acceso en línea:	https://arxiv.org/abs/2412.01600
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Development of systematic uncertainty-aware neural network trainings for binned-likelihood analyses at the LHC
por: CMS Collaboration
Publicado: (2025)

Bring the noise: exact inference from noisy simulations in collider physics
por: Chang, Christopher, et al.
Publicado: (2025)

Classifying hadronic objects in ATLAS with ML/AI algorithms
por: Toffolin, Leonardo
Publicado: (2026)

The CMS statistical analysis and combination tool: COMBINE
por: CMS Collaboration
Publicado: (2024)

Wasserstein normalized autoencoder for anomaly detection
por: CMS Collaboration
Publicado: (2025)

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

Neural simulation-based inference of the Higgs trilinear self-coupling via off-shell Higgs production
por: Ghosh, Aishik, et al.
Publicado: (2025)

Graph-based Full Event Interpretation: a graph neural network for event reconstruction in Belle II
por: Abumusabh, Merna, et al.
Publicado: (2025)

Double Metric Learning for Building Directed Graphs with Chain Connections for the ATLAS ITk Detector
por: Chan, Jay
Publicado: (2026)

Spey: smooth inference for reinterpretation studies
por: Araz, Jack Y.
Publicado: (2023)

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

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

GollumFit: An IceCube Open-Source Framework for Binned-Likelihood Neutrino Telescope Analyses
por: IceCube Collaboration
Publicado: (2025)

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

Statistical divergences in high-dimensional hypothesis testing and a modern technique for estimating them
por: Wilkinson, Jeremy J. H., et al.
Publicado: (2024)

Exploring the BSM parameter space with Neural Network aided Simulation-Based Inference
por: Chatterjee, Atrideb, et al.
Publicado: (2025)

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

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

Autoencoder-based Anomaly Detection System for Online Data Quality Monitoring of the CMS Electromagnetic Calorimeter
por: The CMS ECAL Collaboration
Publicado: (2023)

Lepton energy scale and resolution corrections based on the minimization of an analytical likelihood: IJazZ2.0
por: Couderc, F., et al.
Publicado: (2026)

Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments
por: Go, Yeonju, et al.
Publicado: (2024)

GNN For Muon Particle Momentum estimation
por: Bhat, Vishak K, et al.
Publicado: (2026)

Classifier Surrogates: Sharing AI-based Searches with the World
por: Bieringer, Sebastian, et al.
Publicado: (2024)

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

Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter
por: Aamir, M., et al.
Publicado: (2024)

Event-by-event Comparison between Machine-Learning- and Transfer-Matrix-based Unfolding Methods
por: Backes, Mathias, et al.
Publicado: (2023)

Simulation-based inference for Precision Neutrino Physics through Neural Monte Carlo tuning
por: Gavrikov, A., et al.
Publicado: (2025)

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

Optimization-based Unfolding in High-Energy Physics
por: Gasperini, Simone, et al.
Publicado: (2026)

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

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

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

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

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

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

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

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

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

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

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