Unfolding using deep learning and its application on pulse height analysis and pile-up management
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Unfolding using deep learning and its application on pulse height analysis and pile-up management
Authors
Keywords
Digital pulse processing, Instrumentation, Unfolding, Pile-up, Deep learning, Neural networks
Journal
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
Volume 1005, Issue -, Pages 165403
Publisher
Elsevier BV
Online
2021-05-04
DOI
10.1016/j.nima.2021.165403
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- SciPy 1.0: fundamental algorithms for scientific computing in Python
- (2020) Pauli Virtanen et al. NATURE METHODS
- Pile-Up Correction in Spectroscopic Signals Using Regularized Sparse Reconstruction
- (2020) Mahdi Kafaee et al. IEEE TRANSACTIONS ON NUCLEAR SCIENCE
- Review of Particle Physics
- (2020) P A Zyla et al. Progress of Theoretical and Experimental Physics
- Artificial neural networks for neutron/γ discrimination in the neutron detectors of NEDA
- (2020) X. Fabian et al. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
- Filtering of pulses from particle detectors using neural networks by dimensionality reduction
- (2019) Alberto Regadío et al. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
- Optimization of an FPGA Trigger Based on an Artificial Neural Network for the Detection of Neutrino-Induced Air Showers
- (2017) Zbigniew Szadkowski et al. IEEE TRANSACTIONS ON NUCLEAR SCIENCE
- Alpha–Gamma Discrimination in BaF2 Using FPGA-Based Feedforward Neural Network
- (2017) Chenfei Yang et al. IEEE TRANSACTIONS ON NUCLEAR SCIENCE
- Unfolding-synthesis technique for digital pulse processing. Part 1: Unfolding
- (2016) Valentin T. Jordanov NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
- Impact of colored noise in pulse amplitude measurements: A time-domain approach using differintegrals
- (2016) Alberto Regadío et al. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
- Application of neural networks to digital pulse shape analysis for an array of silicon strip detectors
- (2016) J.L. Flores et al. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
- Real-time evolvable pulse shaper for radiation measurements
- (2013) Juan Lanchares et al. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
- Implementation of a neural network for digital pulse shape analysis on a FPGA for on-line identification of heavy ions
- (2012) R. Jiménez et al. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
- An investigation of the digital discrimination of neutrons and γ rays with organic scintillation detectors using an artificial neural network
- (2009) G. Liu et al. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started