Saved in:
| Main Authors: | Zhou, Yubo, Chen, Xun |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2311.12412 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Upgrade of the PandaX-4T online data quality monitoring system and perspectives for future multi-tons PandaX upgrades
by: Zhou, Yubo, et al.
Published: (2024)
by: Zhou, Yubo, et al.
Published: (2024)
A lightweight analysis farm for fundamental physics experiments
by: Brommer, Sebastian, et al.
Published: (2025)
by: Brommer, Sebastian, et al.
Published: (2025)
Under-coverage in high-statistics counting experiments with finite MC samples
by: Alexe, Cristina-Andreea, et al.
Published: (2024)
by: Alexe, Cristina-Andreea, et al.
Published: (2024)
FunTuple: A new N-tuple component for offline data processing at the LHCb experiment
by: Mathad, Abhijit, et al.
Published: (2023)
by: Mathad, Abhijit, et al.
Published: (2023)
Uncertainty Quantification and Propagation for ACORN, a geometric deep learning tracking pipeline for HEP experiments
by: Péron, Lukas, et al.
Published: (2025)
by: Péron, Lukas, et al.
Published: (2025)
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)
by: Acero, M. A., et al.
Published: (2022)
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)
by: Boggia, Laura, et al.
Published: (2025)
Construction of the Global $χ^2$ Function for the Simultaneous Fitting of Correlated Energy-Dependent Cross Sections
by: Shao, Linquan, et al.
Published: (2026)
by: Shao, Linquan, et al.
Published: (2026)
New Deep Learning Data Analysis Method for PROSPECT using GAPE: Genetic Algorithm Powered Evolution
by: Adriamirado, M., et al.
Published: (2026)
by: Adriamirado, M., et al.
Published: (2026)
The asymptotic distribution of the likelihood ratio test statistic in two-peak discovery experiments
by: Salucci, Clara Bertinelli, et al.
Published: (2025)
by: Salucci, Clara Bertinelli, 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)
Transforming Simulation to Data Without Pairing
by: Gendreau-Distler, Eli, et al.
Published: (2025)
by: Gendreau-Distler, Eli, et al.
Published: (2025)
Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments
by: Go, Yeonju, et al.
Published: (2024)
by: Go, Yeonju, et al.
Published: (2024)
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)
Scaling Particle Collision Data Analysis
by: Wu, Hengkui, et al.
Published: (2024)
by: Wu, Hengkui, 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)
by: Ablikim, M., et al.
Published: (2024)
Training on Data Analysis Reproducibility via Containerization with Apptainer
by: Candelaria, Roy Cruz, et al.
Published: (2026)
by: Candelaria, Roy Cruz, et al.
Published: (2026)
Fast Posterior Probability Sampling with Normalizing Flows and Its Applicability in Bayesian analysis in Particle Physics
by: Baz, Mathias El, et al.
Published: (2023)
by: Baz, Mathias El, et al.
Published: (2023)
Uncertainty components in profile likelihood fits
by: Pinto, Andrés, et al.
Published: (2023)
by: Pinto, Andrés, et al.
Published: (2023)
Projections of Discovery Potentials from Expected Background
by: Singh, M. K., et al.
Published: (2023)
by: Singh, M. K., et al.
Published: (2023)
An importance sampling method for Feldman-Cousins confidence intervals
by: Berns, Lukas
Published: (2023)
by: Berns, Lukas
Published: (2023)
Gradient-descent-based reconstruction for muon tomography based on automatic differentiation in PyTorch
by: Alameddine, Jean-Marco, et al.
Published: (2025)
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)
by: Xia, Li-Gang, et al.
Published: (2021)
Exotic and physics-informed support vector machines for high energy physics
by: Ramirez-Morales, A., et al.
Published: (2024)
by: Ramirez-Morales, A., et al.
Published: (2024)
Systematic Uncertainties in Unfolding Considering the Likelihood Formalism
by: Brenner, Lydia, et al.
Published: (2025)
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)
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)
by: Patel, Jigar, et al.
Published: (2026)
Normalizing Flows for Domain Adaptation when Identifying $Λ$ Hyperon Events
by: Kelleher, Rowan, et al.
Published: (2024)
by: Kelleher, Rowan, et al.
Published: (2024)
Run 3 performance and advances in heavy-flavor jet tagging in CMS
by: Sarkar, Uttiya
Published: (2024)
by: Sarkar, Uttiya
Published: (2024)
Wasserstein normalized autoencoder for anomaly detection
by: CMS Collaboration
Published: (2025)
by: CMS Collaboration
Published: (2025)
A Statistical Method for Improving Momentum Measurement of Photon Conversions Reconstructed from Single Electrons
by: Bingül, Ahmet, et al.
Published: (2024)
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)
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)
by: Ghrear, Majd, et al.
Published: (2024)
A simple tool for weighted averaging of inconsistent data sets
by: Trassinelli, Martino, et al.
Published: (2024)
by: Trassinelli, Martino, et al.
Published: (2024)
SwdFold:A Reweighting and Unfolding method based on Optimal Transport Theory
by: Pan, Chu-Cheng, et al.
Published: (2024)
by: Pan, Chu-Cheng, et al.
Published: (2024)
A unified machine learning approach for reconstructing hadronically decaying tau leptons
by: Tani, Laurits, et al.
Published: (2024)
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)
by: Zhao, Zihan, et al.
Published: (2024)
Anomaly-aware summary statistic from data batches
by: Grosso, Gaia
Published: (2024)
by: Grosso, Gaia
Published: (2024)
Visualization for physics analysis improvement and applications in BESIII
by: Li, Zhi-Jun, et al.
Published: (2024)
by: Li, Zhi-Jun, et al.
Published: (2024)
Similar Items
-
Upgrade of the PandaX-4T online data quality monitoring system and perspectives for future multi-tons PandaX upgrades
by: Zhou, Yubo, et al.
Published: (2024) -
A lightweight analysis farm for fundamental physics experiments
by: Brommer, Sebastian, et al.
Published: (2025) -
Under-coverage in high-statistics counting experiments with finite MC samples
by: Alexe, Cristina-Andreea, et al.
Published: (2024) -
FunTuple: A new N-tuple component for offline data processing at the LHCb experiment
by: Mathad, Abhijit, et al.
Published: (2023) -
Uncertainty Quantification and Propagation for ACORN, a geometric deep learning tracking pipeline for HEP experiments
by: Péron, Lukas, et al.
Published: (2025)