Applications of neural networks for free unfolding of experimental data from fusion neutron spectrometers

被引：0

作者：

Ronchi, E. ^{[1
]}

Conroy, S. ^{[1
]}

Sunden, E. Andersson ^{[1
]}

Ericsson, G. ^{[1
]}

Johnson, M. Gatu ^{[1
]}

Hellesen, C. ^{[1
]}

Sjostrand, H. ^{[1
]}

Weiszflog, M. ^{[1
]}

机构：

[1] JET EFDA, Culham Sci Ctr, Abingdon OX14 3DB, Oxon, England

来源：

COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL | 2008年 / 1卷

关键词：

D O I：

10.1142/9789812799470_0005

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Free unfolding in neutron spectroscopy means reconstructing energy spectra from experimental data without a priori assumptions regarding their shape. Due to the ill-conditioned nature of the problem, this cannot be done analytically. Neural networks (NN) are here applied to this task and synthetic data is used for training and testing. Results showed very consistent performance especially in the region of low and medium counts, where they fall near the Poisson statistical boundary. Comparison with other unfolding methods validated these results. Application time on the order of mu s makes NN suitable for real-time analysis. This approach can be applied to any instrument of which the response function is known.

引用

下载

页码：29 / 35

页数：7

共 50 条

[1] Data Augmentation for Neutron Spectrum Unfolding with Neural Networks
McGreivy, James
Manfredi, Juan J.
Siefman, Daniel
JOURNAL OF NUCLEAR ENGINEERING, 2023, 4 (01): : 77 - 95
[2] A neural networks framework for real-time unfolding of neutron spectroscopic data at JET
Ronchi, E.
Conroy, S.
Sunden, E. A.
Ericsson, G.
Hjalmarsson, A.
Hellesen, C.
Johnson, M. G.
Weiszflog, M.
REVIEW OF SCIENTIFIC INSTRUMENTS, 2008, 79 (10):
[3] Design automation of cellular neural networks for data fusion applications
Chatziagorakis, Prodromos
Sirakoulis, Georgics Ch
Lygouras, John N.
MICROPROCESSORS AND MICROSYSTEMS, 2012, 36 (01) : 33 - 44
[4] Neutron spectra unfolding in Bonner spheres spectrometry using neural networks
Kardan, MR
Setayeshi, S
Koohi-Fayegh, R
Ghiassi-Nejad, M
RADIATION PROTECTION DOSIMETRY, 2003, 104 (01) : 27 - 30
[5] Neutron spectrum unfolding using radial basis function neural networks
Alvar, Amin Asgharzadeh
Deevband, Mohammad Reza
Ashtiyani, Meghdad
APPLIED RADIATION AND ISOTOPES, 2017, 129 : 35 - 41
[6] A neutron spectrum unfolding computer code based on artificial neural networks
Ortiz-Rodriguez, J. M.
Reyes Alfaro, A.
Reyes Haro, A.
Cervantes Viramontes, J. M.
Vega-Carrillo, H. R.
RADIATION PHYSICS AND CHEMISTRY, 2014, 95 : 428 - 431
[7] Neutron spectrum unfolding using two architectures of convolutional neural networks
Bouhadida, Maha
Mazzi, Asmae
Brovchenko, Mariya
Vinchon, Thibaut
Alaya, Mokhtar Z.
Monange, Wilfried
Trompier, Francois
NUCLEAR ENGINEERING AND TECHNOLOGY, 2023, 55 (06) : 2276 - 2282
[8] The Study of Self-organizing Clustering Neural Networks and Applications in Data Fusion
Qiu, Dong
Wang, Longshan
Bai, Wenfeng
Wang, Joafu
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 7099 - +
[9] PARAMETERS OF A FUSION NEUTRON SOURCE BASED ON THE RECENT GDT EXPERIMENTAL DATA AND POSSIBLE APPLICATIONS
Anikeev, A. V.
Prikhodko, V. V.
Yurov, D. V.
FUSION SCIENCE AND TECHNOLOGY, 2015, 68 (01) : 70 - 75
[10] ON THE UNFOLDING OF THE NEUTRON STRUCTURE FUNCTIONS FROM THE DEUTERON DATA
UMNIKOV, AY
KHANNA, FC
KAPTARI, LP
ZEITSCHRIFT FUR PHYSIK A-HADRONS AND NUCLEI, 1994, 348 (03): : 211 - 215

← 1 2 3 4 5 →