Study of photoneutron reaction based on physics-informed Bayesian neural network

Qiankun SUN; Yue ZHANG; Zirui HAO; Hongwei WANG; Gongtao FAN; Hanghua XU; Longxiang LIU; Kaijie CHEN; Sheng JIN; Zhenwei WANG; Mengke XU; Xiangfei WANG

doi:10.11889/j.0253-3219.2025.hjs.48.240501

NUCLEAR TECHNIQUES, Volume. 48, Issue 5, 050001(2025)

Study of photoneutron reaction based on physics-informed Bayesian neural network

Qiankun SUN^1,2, Yue ZHANG³, Zirui HAO³, Hongwei WANG^1,2,3、*, Gongtao FAN^1,2,3, Hanghua XU³, Longxiang LIU³, Kaijie CHEN^1,4, Sheng JIN^1,2, Zhenwei WANG^1,2, Mengke XU^1,2, and Xiangfei WANG^1,2

Author Affiliations

¹Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China

²University of Chinese Academy of Sciences, Beijing 100049, China

³Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China

⁴ShanghaiTech University, Shanghai 201210, China

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References(34)

[1] QIAN Yongzhong. A brief introduction to nuclear astrophysics[J]. Physics, 42, 468-483(2013).

[2] Arnould M, Goriely S. The p-process of stellar nucleosynthesis: astrophysics and nuclear physics status[J]. Physics Reports, 384, 1-84(2003).

[3] Brink D M. Some aspects of the interaction of light with matter[D](1955).

[4] Axel P. Electric dipole ground-state transition width strength function and 7-MeV photon interactions[J]. Physical Review, 126, 671-683(1962).

[5] Kawano T, Cho Y S, Dimitriou P et al. IAEA photonuclear data library 2019[J]. Nuclear Data Sheets, 163, 109-162(2020).

[6] Hatcher C R, Bramblett R L, Hansen N E et al. Width of photon line produced by positron annihilation at 15 MeV[J]. Nuclear Instruments and Methods, 14, 337-342(1962).

[7] Miller J, Schuhl C, Tamas G et al. Résultats préliminaires sur une source de photons monochromatiques par annihilation en vol de positons[J]. Journal de Physique et Le Radium, 21, 296-298(1960).

[8] Nakano T, Ejiri H, Fujiwara M et al. New projects at SPring-8 with multi-GeV polarized photons[J]. Nuclear Physics A, 629, 559-566(1998).

[9] Ohgaki H, Toyokawa H, Kudo K et al. Generation and application of laser-Compton gamma-ray at ETL[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 455, 54-59(2000).

[10] Weller H R, Ahmed M W. The HIγS facility: a free-electron laser generated gamma-ray beam for research in nuclear physics[J]. Modern Physics Letters A, 18, 1569-1590(2003).

[11] HAO Zirui, FAN Gongtao, LIU Longxiang et al. Design and simulation of 4π flat-efficiency 3He neutron detector array[J]. Nuclear Techniques, 43, 110501(2020).

[12] Wang H W, Fan G T, Liu L X et al. Commissioning of laser electron gamma beamline SLEGS at SSRF[J]. Nuclear Science and Techniques, 33, 87(2022).

[13] Hao Z R, Fan G T, Wang H W et al. Collimator system of SLEGS beamline at Shanghai light source[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1013, 165638(2021).

[14] Xu H H, Fan G T, Wang H W et al. Interaction chamber for laser Compton slant-scattering in SLEGS beamline at Shanghai Light Source[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1033, 166742(2022).

[15] Chen K J, Liu L X, Hao Z R et al. Simulation and test of the SLEGS TOF spectrometer at SSRF[J]. Nuclear Science and Techniques, 34, 47(2023).

[16] Liu L X, Utsunomiya H, Fan G T et al. Energy profile of laser Compton slant-scattering γ-ray beams determined by direct unfolding of total-energy responses of a BGO detector[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1063, 169314(2024).

[17] Hao Z R, Fan G T, Xu H H et al. Quasi-monochromatic gamma beam modulation at SLEGS[J]. Radiation Measurements, 174, 107127(2024).

[18] WANG Zhenwei, XU Hanghua, HAO Zirui et al. The method of measuring electron beam parameters based on laser Compton scattering[J]. Nuclear Techniques, 47, 110203(2024).

[20] DU Yingchao, CHEN Han, ZHANG Hongze et al. A very compact inverse Compton scattering gamma-ray source[J]. High Power Laser and Particle Beams, 34, 220132(2022).

[22] Goriely S, Dimitriou P, Wiedeking M et al. Reference database for photon strength functions[J]. The European Physical Journal A, 55, 172(2019).

[23] Tian Y, Ma Z Y, Ring P. Separable pairing force for relativistic quasiparticle random-phase approximation[J]. Physical Review C, 79, 064301(2009).

[24] Brown B A, Rae W D M. The shell-model code NuShellX@MSU[J]. Nuclear Data Sheets, 120, 115-118(2014).

[25] Rauscher T, Thielemann F K. Astrophysical reaction rates from statistical model calculations[J]. Atomic Data and Nuclear Data Tables, 75, 1-351(2000).

[26] Koning A J, Rochman D. Modern nuclear data evaluation with the TALYS code system[J]. Nuclear Data Sheets, 113, 2841-2934(2012).

[27] Alhassan E, Rochman D, Schnabel G et al. Bayesian model averaging (BMA) for nuclear data evaluation[J]. Nuclear Science and Techniques, 35, 205(2024).

[28] He W B, Li Q F, Ma Y G et al. Machine learning in nuclear physics at low and intermediate energies[J]. Science China Physics, Mechanics & Astronomy, 66, 282001(2023).

[29] Boehnlein A, Diefenthaler M, Sato N et al. Colloquium: Machine learning in nuclear physics[J]. Reviews of Modern Physics, 94, 031003(2022).

[30] Bai J H, Niu Z M, Sun B Y et al. The description of giant dipole resonance key parameters with multitask neural networks[J]. Physics Letters B, 815, 136147(2021).

[31] Li Y Y, Zhang F, Su J. Improvement of the Bayesian neural network to study the photoneutron yield cross sections[J]. Nuclear Science and Techniques, 33, 135(2022).

[32] Sun Q K, Zhang Y, Hao Z R et al. Enhancing reliability in photonuclear cross-section fitting with Bayesian neural networks[J]. Nuclear Science and Techniques, 36, 52(2025).

[33] Bramblett R L, Caldwell J T, Berman B L et al. Photoneutron cross sections of Pr141 and I127 from Threshold to 33 MeV[J]. Physical Review Journals Archive, 148, 1198(1966).

[34] Berman B L, Pywell R E, Dietrich S S et al. Absolute photoneutron cross sections for Zr, I, Pr, Au, and Pb[J]. Physical Review C, 36, 1286-1292(1987).

[35] Bergère R, Beil H, Corlos P et al. Sections efficaces photoneutroniques de I, Ce, Sm, Er et Lu[J]. Nuclear Physics A, 133, 417-437(1969).

[36] WANG Jimin, TAO Xi, JIN Yongli et al. The experimental nuclear reaction data (EXFOR)[J]. Nuclear Physics Review, 38, 107-115(2021).

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Qiankun SUN, Yue ZHANG, Zirui HAO, Hongwei WANG, Gongtao FAN, Hanghua XU, Longxiang LIU, Kaijie CHEN, Sheng JIN, Zhenwei WANG, Mengke XU, Xiangfei WANG. Study of photoneutron reaction based on physics-informed Bayesian neural network[J]. NUCLEAR TECHNIQUES, 2025, 48(5): 050001

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Paper Information

Category: Special Topics on Applications of Machine Learning in Nuclear Physics and Nuclear Data

Received: Dec. 6, 2024

Accepted: --

Published Online: Jun. 26, 2025

The Author Email: Hongwei WANG (王宏伟)

DOI:10.11889/j.0253-3219.2025.hjs.48.240501

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology