Zobrazeno 1 - 10
of 2 797
pro vyhledávání: '"Spallation neutron source"'
Autor:
YANG Hao, LU Shuxiang, LI Huaishen, CHEN Shaojia, TANG Bin, WANG Xiuku, ZENG Lixin, YU Li, WAN Zhiyong, LIU Huiyin, SUN Zhijia
Publikováno v:
He jishu, Vol 47, Iss 7, Pp 070401-070401 (2024)
BackgroundThe neutron scintillator detector is one of the main detectors for China Spallation Neutron Source (CSNS). High detection efficiency is the design goal of the second-generation neutron scintillator detector, which is in process of developme
Externí odkaz:
https://doaj.org/article/6845042efaac42baaab5772d2385a0e7
Publikováno v:
Yuanzineng kexue jishu, Vol 57, Iss 8, Pp 1650-1657 (2023)
The 6LiF/ZnS(Ag) scintillation screen is key component of the scintillation neutron detector, and its performance will directly affect the application of the detector. In order to improve the performance of scintillator neutron detector and screen ou
Externí odkaz:
https://doaj.org/article/bb0dae6637ad42168d43e0114f4886f3
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109658- (2023)
This paper presents real operational data collected from the power systems of the Spallation Neutron Source facility, which provides the most intense neutron beam in the world. The authors have used a radio-frequency test facility (RFTF) and simulate
Externí odkaz:
https://doaj.org/article/d7af4aad23d341ddb0d7d7392cb59766
Autor:
Yasir Alanazi, Malachi Schram, Kishansingh Rajput, Steven Goldenberg, Lasitha Vidyaratne, Chris Pappas, Majdi I. Radaideh, Dan Lu, Pradeep Ramuhalli, Sarah Cousineau
Publikováno v:
Machine Learning with Applications, Vol 13, Iss , Pp 100484- (2023)
We present a multi-module framework based on Conditional Variational Autoencoder (CVAE) to detect anomalies in the power signals coming from multiple High Voltage Converter Modulators (HVCMs). We condition the model with the specific modulator type t
Externí odkaz:
https://doaj.org/article/249bc77939d846c5abae8ea3e340255d
Autor:
Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I Radaideh, Sarah Cousineau, Sudarshan Harave
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 4, p 045009 (2024)
Accurate uncertainty estimations are essential for producing reliable machine learning models, especially in safety-critical applications such as accelerator systems. Gaussian process models are generally regarded as the gold standard for this task;
Externí odkaz:
https://doaj.org/article/1612fda88dd3469a9ae4adcf8f62f9f5
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Results in Physics, Vol 49, Iss , Pp 106511- (2023)
The Spallation Neutron Source (SNS) creates neutrons by striking a liquid mercury target with short pulses of high-energy protons. SNS targets have been operated with helium microbubble gas injection into portions of the flowing mercury since 2017. T
Externí odkaz:
https://doaj.org/article/d743559d48ff4ec1b65e831f5c660c0f
Publikováno v:
Nuclear Materials and Energy, Vol 34, Iss , Pp 101338- (2023)
In this study, a post-irradiation examination of pure tungsten (W) and tantalum (Ta) specimens irradiated at the Swiss Spallation-Neutron Source is conducted. W is used as a potential candidate for a solid spallation-target material owing to its favo
Externí odkaz:
https://doaj.org/article/551e2d347029481a8a8483991fd25733
Autor:
Hideaki Hotchi
Publikováno v:
AAPPS Bulletin, Vol 31, Iss 1, Pp 1-19 (2021)
Abstract With the spread of accelerator-driven pulsed spallation neutron sources and increasing need for higher neutron fluxes, the high-power performance of proton accelerators has greatly advanced from a few kilowatts to more than 1 MW in the last
Externí odkaz:
https://doaj.org/article/a87030eb2b8b414bbfc1aa47f6aab139
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.