Saved in:
| Main Authors: | Ahmad, Farzana Yasmin, Venkataswamy, Vanamala, Fox, Geoffrey |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.12898 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Inductive Simulation of Calorimeter Showers with Normalizing Flows
by: Buckley, Matthew R., et al.
Published: (2023)
by: Buckley, Matthew R., et al.
Published: (2023)
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
by: Buss, Thorsten, et al.
Published: (2024)
by: Buss, Thorsten, et al.
Published: (2024)
Enhancing Electromagnetic Calorimeter Signal Reconstruction with Machine Learning-Based Noise Discrimination
by: Gupta, Suman Das, et al.
Published: (2025)
by: Gupta, Suman Das, et al.
Published: (2025)
Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter
by: Aamir, M., et al.
Published: (2024)
by: Aamir, M., et al.
Published: (2024)
Anomaly Detection Based on Machine Learning for the CMS Electromagnetic Calorimeter Online Data Quality Monitoring
by: Harilal, Abhirami, et al.
Published: (2024)
by: Harilal, Abhirami, et al.
Published: (2024)
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation
by: Buhmann, Erik, et al.
Published: (2023)
by: Buhmann, Erik, et al.
Published: (2023)
Calorimeter shower superresolution
by: Pang, Ian, et al.
Published: (2023)
by: Pang, Ian, et al.
Published: (2023)
Autoencoder-based Anomaly Detection System for Online Data Quality Monitoring of the CMS Electromagnetic Calorimeter
by: The CMS ECAL Collaboration
Published: (2023)
by: The CMS ECAL Collaboration
Published: (2023)
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation
by: Buhmann, Erik, et al.
Published: (2023)
by: Buhmann, Erik, et al.
Published: (2023)
NuBench: An Open Benchmark for Deep Learning-Based Event Reconstruction in Neutrino Telescopes
by: Orsoe, Rasmus F., et al.
Published: (2025)
by: Orsoe, Rasmus F., et al.
Published: (2025)
Comprehensive Machine Learning Model Comparison for Cherenkov and Scintillation Light Separation due to Particle Interactions
by: Tiras, Emrah, et al.
Published: (2024)
by: Tiras, Emrah, et al.
Published: (2024)
Recent advances and trends in pattern recognition and data analysis for RICH detectors
by: Santelj, Luka
Published: (2026)
by: Santelj, Luka
Published: (2026)
The Fast Stochastic Matching Pursuit for Neutrino and Dark Matter Experiments
by: Wang, Yuyi, et al.
Published: (2024)
by: Wang, Yuyi, et al.
Published: (2024)
Physics-informed machine learning approaches to reactor antineutrino detection
by: Farrell, Sophia, et al.
Published: (2024)
by: Farrell, Sophia, et al.
Published: (2024)
Photon Calibration Techniques for High Resolution Cryogenic Detectors
by: Matava, William J., et al.
Published: (2026)
by: Matava, William J., et al.
Published: (2026)
Nanosecond anomaly detection with decision trees and real-time application to exotic Higgs decays
by: Roche, Stephen, et al.
Published: (2023)
by: Roche, Stephen, et al.
Published: (2023)
Graph Neural Network-Based Track Finding in the LHCb Vertex Detector
by: Correia, Anthony, et al.
Published: (2024)
by: Correia, Anthony, et al.
Published: (2024)
Enhancing Neutrinoless Double-Beta Decay Sensitivity of Liquid-Xenon Time Projection Chamber with Augmented Convolutional Neural Network
by: Aprile, E., et al.
Published: (2026)
by: Aprile, E., et al.
Published: (2026)
Anomaly Detection for Automated Data Quality Monitoring in the CMS Detector
by: Brinkerhoff, Andrew, et al.
Published: (2025)
by: Brinkerhoff, Andrew, et al.
Published: (2025)
Position-Sensitive Silicon Photomultiplier Array with Enhanced Position Reconstruction by means of a Deep Neural Network
by: Alispach, Cyril, et al.
Published: (2025)
by: Alispach, Cyril, et al.
Published: (2025)
Estimation of waveform deformation with the matched filter
by: Cappelli, Matteo, et al.
Published: (2024)
by: Cappelli, Matteo, et al.
Published: (2024)
Nanosecond hardware regression trees in FPGA at the LHC
by: Serhiayenka, Pavel, et al.
Published: (2024)
by: Serhiayenka, Pavel, et al.
Published: (2024)
Variational Autoencoders for At-Source Data Reduction and Anomaly Detection in High Energy Particle Detectors
by: Yue, Alexander, et al.
Published: (2024)
by: Yue, Alexander, et al.
Published: (2024)
End-to-End Multi-Track Reconstruction using Graph Neural Networks at Belle II
by: Reuter, Lea, et al.
Published: (2024)
by: Reuter, Lea, et al.
Published: (2024)
Memristive tabular variational autoencoder for compression of analog data in high energy physics
by: Gupta, Rajat, et al.
Published: (2026)
by: Gupta, Rajat, et al.
Published: (2026)
DUNE Software and Computing Research and Development
by: DUNE Collaboration, et al.
Published: (2025)
by: DUNE Collaboration, et al.
Published: (2025)
Graph Neural Network-Based Pipeline for Track Finding in the Velo at LHCb
by: Correia, Anthony, et al.
Published: (2024)
by: Correia, Anthony, et al.
Published: (2024)
Transformer-Based Approach to Enhance Positron Tracking Performance in MEG II
by: Dispoto, Lapo, et al.
Published: (2025)
by: Dispoto, Lapo, et al.
Published: (2025)
Bayesian Approach to Particles Identification in the MPD Experimen
by: Babkin, V. A., et al.
Published: (2024)
by: Babkin, V. A., et al.
Published: (2024)
LArTPC hit-based topology classification with quantum machine learning and symmetry
by: Duffy, Callum, et al.
Published: (2025)
by: Duffy, Callum, et al.
Published: (2025)
A General Track Fit based on Triplets
by: Schöning, Andre
Published: (2024)
by: Schöning, Andre
Published: (2024)
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review
by: Hashemi, Baran, et al.
Published: (2023)
by: Hashemi, Baran, et al.
Published: (2023)
XENONnT WIMP Search: Signal & Background Modeling and Statistical Inference
by: XENON Collaboration, et al.
Published: (2024)
by: XENON Collaboration, et al.
Published: (2024)
Particle identification in the GlueX detector with machine learning
by: Habjan, Eric, et al.
Published: (2025)
by: Habjan, Eric, et al.
Published: (2025)
Machine Learning for Single-Ended Event Reconstruction in PROSPECT Experiment
by: Andriamirado, M., et al.
Published: (2025)
by: Andriamirado, M., et al.
Published: (2025)
Bayesian network 3D event reconstruction in the Cygno optical TPC for dark matter direct detection
by: Amaro, Fernando Domingues, et al.
Published: (2025)
by: Amaro, Fernando Domingues, et al.
Published: (2025)
JetPrism: diagnosing convergence for generative simulation and inverse problems in nuclear physics
by: Xia, Zeyu, et al.
Published: (2026)
by: Xia, Zeyu, et al.
Published: (2026)
Unifying Simulation and Inference with Normalizing Flows
by: Du, Haoxing, et al.
Published: (2024)
by: Du, Haoxing, et al.
Published: (2024)
Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector
by: Gavrikov, A., et al.
Published: (2024)
by: Gavrikov, A., et al.
Published: (2024)
Analysis of Mixed Radiation Fields at the MoEDAL Experiment Based on Real-Time Data from a Timepix Detector Network
by: Bergmann, Benedikt, et al.
Published: (2026)
by: Bergmann, Benedikt, et al.
Published: (2026)
Similar Items
-
Inductive Simulation of Calorimeter Showers with Normalizing Flows
by: Buckley, Matthew R., et al.
Published: (2023) -
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
by: Buss, Thorsten, et al.
Published: (2024) -
Enhancing Electromagnetic Calorimeter Signal Reconstruction with Machine Learning-Based Noise Discrimination
by: Gupta, Suman Das, et al.
Published: (2025) -
Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter
by: Aamir, M., et al.
Published: (2024) -
Anomaly Detection Based on Machine Learning for the CMS Electromagnetic Calorimeter Online Data Quality Monitoring
by: Harilal, Abhirami, et al.
Published: (2024)