Cover Image

Using Machine Learning to Separate Cherenkov and Scintillation Light in Hybrid Neutrino Detector

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Bat, Ayse
Format:	Preprint
Published:	2024
Subjects:	Instrumentation and Detectors Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Comprehensive Machine Learning Model Comparison for Cherenkov and Scintillation Light Separation due to Particle Interactions
by: Tiras, Emrah, et al.
Published: (2024)

Reconstructing Time-of-Flight Detector Values of Angular Streaking Using Machine Learning
by: Meier, David, et al.
Published: (2025)

Robust Lifetime Estimation from HPGe Radiation-Sensor Time Series Using Pairwise Ratios and MFV Statistics
by: Golovko, Victor V.
Published: (2025)

Scintillation pulse characterization with spectrum-inspired temporal neural networks: case studies on particle detector signals
by: Ai, Pengcheng, et al.
Published: (2024)

Trigger Optimization and Event Classification for Dark Matter Searches in the CYGNO Experiment Using Machine Learning
by: Amaro, F. D., et al.
Published: (2026)

Neural Network Methods for Radiation Detectors and Imaging
by: Lin, S., et al.
Published: (2023)

Structured generalized sliced Wasserstein distance for keV X-ray polarization analysis with Gas Pixel Detector
by: Ai, Pengcheng, et al.
Published: (2026)

Wavelength calibration and spectral sensitivity correction of luminescence measurements for dosimetry applications: method comparison tested on the IR-RF of K-feldspar
by: Sontag-González, Mariana, et al.
Published: (2024)

Towards a Unified Formalism of Multivariate Coefficients of Variation -- Application to the Analysis of Polarimetric Speckle Time Series
by: Colin, Elise, et al.
Published: (2024)

An Accessible Instrument for Measuring Soft Material Mechanical Properties
by: Unikewicz, B. M., et al.
Published: (2024)

Electric Field Reconstruction with Information Field Theory
by: Strähnz, Simon, et al.
Published: (2024)

Correction of STEM Distortions
by: Potapov, Pavel, et al.
Published: (2026)

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach
by: Ai, Pengcheng, et al.
Published: (2025)

Physics-informed continuous normalizing flows to learn the electric field within a time-projection chamber
by: Li, Ivy, et al.
Published: (2025)

SINAPSE: A lightweight deep learning framework for accurate and explainable neutron-$γ$ discrimination
by: Carreau, Thomas, et al.
Published: (2026)

Probabilistic Analysis of Event-Mode Experimental Data
by: Bentley, Phillip M., et al.
Published: (2025)

Photon Counting Accuracy in Digital Image Sensors
by: Hendrickson, Aaron J.
Published: (2023)

Data-driven performance optimization of gamma spectrometers with many channels
by: Vavrek, Jayson R., et al.
Published: (2025)

Detecting and Correcting Gain Jumps in TES Microcalorimeters
by: Baker, Thomas A., et al.
Published: (2025)

AMBER: Algorithm for Multiplexing spectrometer Background Estimation with Rotation-independence
by: Lass, Jakob, et al.
Published: (2025)

Mapping the Minimum Detectable Activities of Gamma-Ray Sources in a 3-D Scene
by: Bandstra, Mark S., et al.
Published: (2022)

Observation of a low energy nuclear recoil peak in the neutron calibration data of an Al$_{2}$O$_{3}$ crystal in CRESST-III
by: CRESST Collaboration, et al.
Published: (2025)

DMCpy: A powder and single crystal neutron diffraction software for DMC
by: Lass, Jakob, et al.
Published: (2025)

Mitigating Deadtime in Distributed Optical Arrays: A Liveness-Aware Trigger Approach for High-Energy Neutrino Detection
by: Yawisit, Thammarat, et al.
Published: (2026)

TraX Engine: Advanced Processing of Radiation Data Acquired by Timepix Detectors in Space, Medical, Educational and Imaging Applications
by: Oancea, C., et al.
Published: (2024)

Machine learning-powered data cleaning for LEGEND: a semi-supervised approach using affinity propagation and support vector machines
by: León, E., et al.
Published: (2024)

Development of a new phase-retrieval algorithm from a single-shot image for X-ray schlieren microscopy
by: Nishimura, Ryutaro, et al.
Published: (2025)

Mueller Matrix Polarimetry of Fiber Bragg Grating Strain and Torsion
by: Kbashi, Hani J., et al.
Published: (2025)

Live Iterative Ptychography
by: Weber, Dieter, et al.
Published: (2023)

Neural-network-powered pulse reconstruction from one-dimensional interferometric cross-correlation traces
by: Kolesnichenko, Pavel V., et al.
Published: (2021)

Data Reduction for Low Energy Nuclear Physics Experiments Using Data Frames
by: Marshall, Caleb
Published: (2024)

Optimal Binning for Small-Angle Neutron Scattering Data Using the Freedman-Diaconis Rule
by: An, Jessie E., et al.
Published: (2025)

Using krypton-83m to determine the neutrino-mass bias caused by a non-constant electric potential of the KATRIN source
by: Machatschek, Moritz
Published: (2025)

The Fast Stochastic Matching Pursuit for Neutrino and Dark Matter Experiments
by: Wang, Yuyi, et al.
Published: (2024)

Deep(er) Reconstruction of Imaging Cherenkov Detectors with Swin Transformers and Normalizing Flow Models
by: Fanelli, Cristiano, et al.
Published: (2024)

Photon Calibration Techniques for High Resolution Cryogenic Detectors
by: Matava, William J., et al.
Published: (2026)

Object Detection with Deep Learning for Rare Event Search in the GADGET II TPC
by: Wheeler, Tyler, et al.
Published: (2025)

Anomaly Detection for Automated Data Quality Monitoring in the CMS Detector
by: Brinkerhoff, Andrew, et al.
Published: (2025)

Monitoring of the offset between UTC and its prediction broadcast by the GNSS
by: Defraigne, Pascale, et al.
Published: (2025)

In-situ environmental radiation background measurement in the second phase of CJPL
by: Zhang, P., et al.
Published: (2025)