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New Constraint on the Local Relic Neutrino Background Overdensity with the First KATRIN data Runs

Physical Review Letters 2022年第1期129卷 011806-011806页

作者： M. Aker D. Batzler A. Beglarian J. Behrens A. Berlev U. Besserer B. Bieringer F. Block S. Bobien B. Bornschein L. Bornschein M. Böttcher T. Brunst T. S. Caldwell R. M. D. Carney S. Chilingaryan W. Choi K. Debowski M. Descher D. Díaz Barrero P. J. Doe O. Dragoun G. Drexlin F. Edzards K. Eitel E. Ellinger R. Engel S. Enomoto A. Felden J. A. Formaggio F. M. Fränkle G. B. Franklin F. Friedel A. Fulst K. Gauda A. S. Gavin W. Gil F. Glück R. Grössle R. Gumbsheimer V. Hannen N. Haußmann K. Helbing S. Hickford R. Hiller D. Hillesheimer D. Hinz T. Höhn T. Houdy A. Huber A. Jansen C. Karl F. Kellerer J. Kellerer M. Kleifges M. Klein C. Köhler L. Köllenberger A. Kopmann M. Korzeczek A. Kovalík B. Krasch H. Krause L. La Cascio T. Lasserre T. L. Le O. Lebeda B. Lehnert A. Lokhov M. Machatschek E. Malcherek M. Mark A. Marsteller E. L. Martin C. Melzer S. Mertens J. Mostafa K. Müller H. Neumann S. Niemes P. Oelpmann D. S. Parno A. W. P. Poon J. M. L. Poyato F. Priester J. Ráliš S. Ramachandran R. G. H. Robertson W. Rodejohann C. Rodenbeck M. Röllig C. Röttele M. Ryšavý R. Sack A. Saenz R. Salomon P. Schäfer L. Schimpf M. Schlösser K. Schlösser L. Schlüter S. Schneidewind M. Schrank A. Schwemmer M. Šefčík V. Sibille D. Siegmann M. Slezák F. Spanier M. Steidl M. Sturm H. H. Telle L. A. Thorne T. Thümmler N. Titov I. Tkachev K. Urban K. Valerius D. Vénos A. P. Vizcaya Hernández C. Weinheimer S. Welte J. Wendel C. Wiesinger J. F. Wilkerson J. Wolf S. Wüstling J. Wydra W. Xu S. Zadoroghny G. Zeller Tritium Laboratory Karlsruhe (TLK) Karlsruhe Institute of Technology (KIT) Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Germany Institute for Data Processing and Electronics (IPE) Karlsruhe Institute of Technology (KIT) Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Germany Institute for Astroparticle Physics (IAP) Karlsruhe Institute of Technology (KIT) Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Germany Institute for Nuclear Research of Russian Academy of Sciences 60th October Anniversary Prospect 7a 117312 Moscow Russia Institute for Nuclear Physics University of Münster Wilhelm-Klemm-Strasse 9 48149 Münster Germany Institute of Experimental Particle Physics (ETP) Karlsruhe Institute of Technology (KIT) Wolfgang-Gaede-Strasse 1 76131 Karlsruhe Germany Institute for Technical Physics (ITEP) Karlsruhe Institute of Technology (KIT) Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Germany Technische Universität München James-Franck-Strasse 1 85748 Garching Germany Max-Planck-Institut für Physik Föhringer Ring 6 80805 München Germany Department of Physics and Astronomy University of North Carolina Chapel Hill North Carolina 27599 USA Triangle Universities Nuclear Laboratory Durham North Carolina 27708 USA Institute for Nuclear and Particle Astrophysics and Nuclear Science Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA Department of Physics Faculty of Mathematics and Natural Sciences University of Wuppertal Gaußstr. 20 42119 Wuppertal Germany Departamento de Química Física Aplicada Universidad Autonoma de Madrid Campus de Cantoblanco 28049 Madrid Spain Center for Experimental Nuclear Physics and Astrophysics and Dept. of Physics University of Washington Seattle Washington 98195 USA Nuclear Physics Institute Czech Academy of Sciences 25068 Řež Czech Republic Laboratory for Nuclear Science Massachusetts Institute of Technology 77 Massachusetts Ave Cambridge Massachus

We report on the direct search for cosmic relic neutrinos using data acquired during the first two science campaigns of the KATRIN experiment in 2019. Beta-decay electrons from a high-purity molecular tritium gas source are analyzed by a high-resolution MAC-E filter around the end point at 18.57 keV. The analysis is sensitive to a local relic neutrino overdensity ratio of η<9.7×1010/α (1.1×1011/α) at a 90% (95%) confidence level with α=1 (0.5) for Majorana (Dirac) neutrinos. A fit of the integrated electron spectrum over a narrow interval around the end point accounting for relic neutrino captures in the tritium source reveals no significant overdensity. This work improves the results obtained by the previous neutrino mass experiments at Los Alamos and Troitsk. We furthermore update the projected final sensitivity of the KATRIN experiment to η<1×1010/α at 90% confidence level, by relying on updated operational conditions.

关键词： Cosmic ray & astroparticle detectors Cosmology Evolution of the Universe Extrasolar neutrino astronomy Nucleus-neutrino interactions Particle interactions Neutrinos Neutrino detectors

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One-dimensional deep low-rank and sparse network for accelerated MRI

arXiv

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arXiv 2021年

作者： Wang, Zi Qian, Chen Guo, Di Sun, Hongwei Li, Rushuai Zhao, Bo Qu, Xiaobo Department of Electronic Science Biomedical Intelligent Cloud R&D Center Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance National Institute for Data Science in Health and Medicine Xiamen University China School of Computer and Information Engineering Xiamen University of Technology Xiamen China United Imaging Research Institute of Intelligent Imaging Beijing China Department of Nuclear Medicine Nanjing First Hospital Nanjing Medical University Nanjing China Department of Biomedical Engineering Oden Institute for Computational Engineering and Sciences University of Texas at Austin Austin United States

Deep learning has shown astonishing performance in accelerated magnetic resonance imaging (MRI). Most state-of-the-art deep learning reconstructions adopt the powerful convolutional neural network and perform 2D convolution since many magnetic resonance images or their corresponding k-space are in 2D. In this work, we present a new approach that explores the 1D convolution, making the deep network much easier to be trained and generalized. We further integrate the 1D convolution into the proposed deep network, named as One-dimensional Deep Low-rank and Sparse network (ODLS), which unrolls the iteration procedure of a low-rank and sparse reconstruction model. Extensive results on in vivo knee and brain datasets demonstrate that, the proposed ODLS is very suitable for the case of limited training subjects and provides improved reconstruction performance than state-of-the-art methods both visually and quantitatively. Additionally, ODLS also shows nice robustness to different undersampling scenarios and some mismatches between the training and test data. In summary, our work demonstrates that the 1D deep learning scheme is memory-efficient and robust in fast MRI. Copyright © 2021, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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Neutron ghost imaging

arXiv

引用

arXiv 2019年

作者： Kingston, Andrew M. Myers, Glenn R. Pelliccia, Daniele Salvemini, Filomena Bevitt, Joseph J. Garbe, Ulf Paganin, David M. Department of Applied Mathematics Research School of Physics and Engineering Australian National University CanberraACT2601 Australia CTLab: National Laboratory for Micro Computed-Tomography Advanced Imaging Precinct Australian National University CanberraACT2601 Australia Instruments & Data Tools Pty Ltd Victoria3178 Australia Australian Centre for Neutron Scattering Australian Nuclear Science and Technology Organisation New Illawarra Rd Lucas HeightsNSW2234 Australia School of Physics and Astronomy Monash University VIC3800 Australia

Ghost imaging is demonstrated using a poly-energetic reactor source of thermal neutrons. The method presented enables position resolution to be incorporated, into a variety of neutron instruments that are not position resolving. In an imaging context, ghost imaging can be beneficial for dose reduction and resolution enhancement. We also demonstrate a super-resolution variant of the method, namely a parallel form of neutron ghost imaging, with the ability to significantly increase the spatial resolution of a pixelated detector such as a CCD or CMOS camera. Extensions of our neutron ghost-imaging protocol are discussed in detail and include neutron ghost tomography, neutron ghost microscopy, dark-field neutron ghost imaging, and isotope-resolved color neutron ghost imaging via prompt-gamma-ray bucket detection. Copyright © 2019, The Authors. All rights reserved.

关键词： Neutrons

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Spin-Phonon Interactions Induced Anomalous Thermal Conductivity in Nickel (Ii) Oxide

SSRN

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SSRN 2023年

作者： Sun, Qiyang Hou, Songrui Wei, Bin Su, Yaokun Ortiz, Victor Sun, Bo Lin, Jiao Y.Y. Smith, Hillary Danilkin, Sergey Abernathy, Douglas L. Wilson, Richard Li, Chen Mechanical Engineering University of California Riverside RiversideCA92521 United States Materials Science and Engineering University of California Riverside RiversideCA92521 United States Henan Key Laboratory of Materials on Deep-Earth Engineering School of Materials Science and Engineering Henan Polytechnic University Jiaozuo454000 China Tsinghua-Berkeley Shenzhen Institute Guangdong Provincial Key Laboratory of Thermal Management Engineering and Materials TSIGS Tsinghua University Shenzhen518055 China Neutron Data Analysis and Visualization Division Oak Ridge National Laboratory Oak RidgeTN37830 United States Department of Physics and Astronomy Swarthmore College SwarthmorePA19081 United States Australian Centre for Neutron Scattering Australian Nuclear Science and Technology Organization Lucas HeightsNSW2234 Australia Neutron Scattering Division Oak Ridge National Laboratory Oak RidgeTN37830 United States

Nickel (II) oxide is a prominent candidate for spintronic and spin-caloritronic applications operating at room temperature. Although there are extensive studies on nickel oxide, the roles of magnon- and spin-phonon interactions on thermal transport are not well understood. In the present work, the relationship between spin-phonon interactions and thermal transport is investigated by performing inelastic neutron scattering, time-domain thermoreflectance thermal conductivity measurements, and atomistic thermal transport calculations. Inelastic neutron scattering measurements of the magnon lifetime imply that magnon thermal conductivity is trivial, and so heat is conducted only by phonons. Time-domain thermoreflectance measurements of the thermal conductivity vs. temperature follow T-1.47 in the antiferromagnetic phase. This temperature dependence cannot be explained by phonon-isotope and phonon-defect scattering or phonon softening. Instead, we attribute this to magnon-phonon scattering and spin-induced dynamic symmetry breaking. The spin-phonon interactions are saturated in the paramagnetic phase and lead to a weaker temperature dependence of T-1.00 at 550-700 K. These results reveal the importance of spin-phonon interactions on lattice thermal transport, shedding light on the engineering of functional antiferromagnetic spintronic and spin-caloritronic materials through these interactions. © 2023, The Authors. All rights reserved.

关键词： Nickel oxide

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AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier

arXiv

引用

arXiv 2022年

作者： Heiliger, Lars Marinov, Zdravko Hasin, Max Ferreira, André Fragemann, Jana Pomykala, Kelsey Murray, Jacob Kersting, David Alves, Victor Stiefelhagen, Rainer Egger, Jan Kleesiek, Jens Institute for Ai in Medicine University Hospital Essen Essen Germany University Medicine Essen Essen Germany Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany Center Algoritmi University of Minho Braga Portugal Computer Algorithms for Medicine Laboratory Graz Austria Department of Nuclear Medicine University Hospital Essen Essen Germany Essen Germany West German Cancer Center Essen Germany HIDSS4Health - Helmholtz Information Data Science School for Health Heidelberg Karlsruhe Germany

Tumor volume and changes in tumor characteristics over time are important biomarkers for cancer therapy. In this context, FDGPET/CT scans are routinely used for staging and re-staging of cancer, as the radiolabeled fluorodeoxyglucose is taken up in regions of high metabolism. Unfortunately, these regions with high metabolism are not specific to tumors and can also represent physiological uptake by normal functioning organs, inflammation, or infection, making detailed and reliable tumor segmentation in these scans a demanding task. This gap in research is addressed by the AutoPET challenge, which provides a public data set with FDG-PET/CT scans from 900 patients to encourage further improvement in this field. Our contribution to this challenge is an ensemble of two state-of-the-art segmentation models, the nn-Unet and the Swin UNETR, augmented by a maximum intensity projection classifier that acts like a gating mechanism. If it predicts the existence of lesions, both segmentations are combined by a late fusion approach. Our solution achieves an average Cross Validation Dice score of 72.12% on patients diagnosed with lung cancer, melanoma, and lymphoma in our cross-validation. Code: https://***/heiligerl/AutoPET-Challenge-Submission. © 2022, CC BY.

关键词： Tumors

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Research and Implementation of Big data technology laboratory Equipment Reservation Management System

引用

IOP Conference Series: Earth and Environmental science 2019年第4期252卷

作者： Yiting Wang Zhenhua Wei Junwu Cao Zhifeng Liu Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology East China University of Technology Nanchang 330013 Jiangxi China School of Information Engineering East China University of Technology Nanchang 330013 Jiangxi China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang 330013 Jiangxi China

At present, the laboratory management system of most universities lacks functions and expansibility, so it cannot be adapted to laboratories with high degree of customization. Based on the analysis of the past experience of the laboratory management system in colleges and universities, this paper explores the construction of a comprehensive system suitable for the appointment management of laboratory equipment in colleges and universities. The system adopts Java Web related technology, Web database interaction technology and B/S architecture to form a modular structure with complete functions and flexible management. The construction of the system has realized the standardization, process and integration management of university laboratories, and promoted the effective utilization of university laboratory equipment in colleges and universities.

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Spallation and fragmentation cross sections for 168 MeV/nucleon Xe136 ions on proton, deuteron, and carbon targets

引用

Physical Review C 2020年第6期101卷 064623-064623页

作者： X. H. Sun H. Wang H. Otsu H. Sakurai D. S. Ahn M. Aikawa N. Fukuda T. Isobe S. Kawakami S. Koyama T. Kubo S. Kubono G. Lorusso Y. Maeda A. Makinaga S. Momiyama K. Nakano S. Nakayama M. Niikura Y. Shiga P.-A. Söderström H. Suzuki H. Takeda S. Takeuchi R. Taniuchi Ya. Watanabe Yu. Watanabe H. Yamasaki X. F. Yang Y. L. Ye K. Yoshida School of Physics and State Key Laboratory of Nuclear Physics and Technology Peking University Beijing 100871 China RIKEN Nishina Center 2-1 Hirosawa Wako Saitama 351-0198 Japan Faculty of Science Hokkaido University Sapporo 060-0810 Japan Faculty of Engineering University of Miyazaki Miyazaki 889-2192 Japan Department of Physics Graduate School of Science University of Tokyo 7-3-1 Hongo Bunkyo Tokyo 113-0033 Japan Graduate School of Medicine Hokkaido University North-14 West-5 Kita-ku Sapporo 060-8648 Japan JEin Institute for Fundamental Science NPO Einstein Kyoto 606-8317 Japan Faculty of Fukuoka Medical Technology Teikyo University 6-22 Misakimachi Omuta-shi Fukuoka 836-8505 Japan Department of Advanced Energy Engineering Science Kyushu University Kasuga Fukuoka 816-8580 Japan Nuclear Data Center Japan Atomic Energy Agency Ibaraki 319-1195 Japan Department of Physics Rikkyo University 3-34-1 Nishi-Ikebukuro Toshima Tokyo 171-8501 Japan

The spallation and fragmentation reactions of Xe136 induced by proton, deuteron, and carbon targets at 168 MeV/nucleon were studied at RIKEN Radioactive Isotope Beam Factory via the inverse kinematics technique. A wide range of isotopic distributions of the reaction cross sections has been obtained and systematically analyzed by using the Particle and Heavy Ion Transport code System (PHITS) including dynamical and intranuclear cascade processes plus evaporation process, the semi-empirical parametrization for residue cross sections in spallation reactions (SPACS) and empirical parametrization of fragmentation cross sections (EPAX), and the deuteron-induced reaction analysis code system (DEURACS) incorporating the deuteron breakup effect. The carbon target has exhibited strong potential to produce light-mass isotopes far away from the projectile, in comparison to proton and deuteron targets. This may be attributed to the possible higher excitation energies of the prefragment induced by heavier target. It is demonstrated that the deuteron target has advantages to produce isotopic chains very close to the projectile and also the neutron-rich nuclei in other isotopic chains far away from the projectile, due basically to its structure property and the effect of the breakup neutron in the peripheral collision processes. The proton target has the advantage of being able to produce isotopes produced via charge-pickup reactions in comparison to other targets. The prediction powers of various calculation codes are examined with respective to the experimental isotopic distributions. The target and energy dependences of the produced mass distributions are also discussed.

关键词： H & He induced nuclear reactions Low & intermediate energy heavy-ion reactions nuclear fragmentation nuclear reactions Neutron spallation facilities 90 ≤ A ≤ 149 Radioactive beams

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Changing life expectancy in European countries 1990–2021: a subanalysis of causes and risk factors from the Global Burden of Disease Study 2021

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The Lancet Public Health 2025年第3期10卷 e172-e188页

作者： Steel, Nicholas Bauer-Staeb, Clarissa Maria Mercedes Ford, John A. Abbafati, Cristiana Abdalla, Mohammed Altigani Abdelkader, Atef Abdi, Parsa Zuñiga, Roberto Ariel Abeldaño Abiodun, Olugbenga Olusola Abolhassani, Hassan Abu-Gharbieh, Eman Abukhadijah, Hana J. Abu-Zaid, Ahmed Addo, Isaac Yeboah Addolorato, Giovanni Adekanmbi, Victor Adetunji, Juliana Bunmi Adeyeoluwa, Temitayo Esther Agardh, Emilie E. Agyemang-Duah, Williams Ahmad, Danish Ahmed, Ayman Ahmed, Syed Anees Akinosoglou, Karolina Akkaif, Mohammed Ahmed Al Awaidy, Salah Al Hasan, Syed Mahfuz Al Zaabi, Omar Ali Mohammed Aldridge, Robert W. Algammal, Abdelazeem M. Al-Gheethi, Adel Ali Saeed Ali, Abid Ali, Mohammed Usman Ali, Syed Shujait Ali, Waad Alicandro, Gianfranco Alif, Sheikh Mohammad Al-Jumaily, Adel Allebeck, Peter Alrawashdeh, Ahmad Al-Rifai, Rami H. Alsabri, Mohammed A. Alshahrani, Najim Z. Aluh, Deborah Oyine Al-Wardat, Mohammad Al-Zyoud, Walid A. Amiri, Sohrab Anderlini, Deanna Andrei, Catalina Liliana Anil, Abhishek Anvari, Saeid Anyasodor, Anayochukwu Edward Appiah, Seth Christopher Yaw Aquilano, Michele Arabloo, Jalal Arafat, Mosab Areda, Demelash Aremu, Abdulfatai Armani, Keivan Armocida, Benedetta Ärnlöv, Johan Asaduzzaman, Muhammad Astell-Burt, Thomas Aujayeb, Avinash Ausloos, Marcel Azadnajafabad, Sina Aziz, Shahkaar Azzam, Ahmed Y. Babu, Giridhara Rathnaiah Badache, Andreea Corina Badiye, Ashish D. Bahramian, Saeed Baig, Atif Amin Baker, Jennifer L. Bansal, Hansi Bärnighausen, Till Winfried Barone, Mark Thomaz Ugliara Barrow, Amadou Barteit, Sandra Bashir, Shahid Bashiru, Hameed Akande Basso, João Diogo Bastan, Mohammad-Mahdi Basu, Sanjay Batra, Kavita Bauckneht, Matteo Baune, Bernhard T. Beghi, Massimiliano Beiranvand, Maryam Béjot, Yannick Bell, Michelle L. Bello, Olorunjuwon Omolaja Belo, Luis Beloukas, Apostolos Beneke, Alice A. Bettencourt, Paulo J.G. Bhagavathula, Akshaya Srikanth Bhala, Neeraj Bhaskar, Sonu Bisulli, Francesca Bjørge, Tone Bodunrin, Aadam Olalekan Carvajal, Alejandro Botero Bouaoud, Souad Brayne, Carol Brenner, H Department of Primary Care and Public Health University of East Anglia Norwich United Kingdom Office for Health Improvement and Disparities Department of Health and Social Care London United Kingdom Department of Legal and Economic Studies La Sapienza University Rome Italy Rome Italy Hull York Medical School University of Hull Hull United Kingdom Department of Mathematics and Sciences Ajman University Ajman United Arab Emirates Department of Medicine Memorial University St. John's NL Canada Postgraduate Department University of Sierra Sur Miahuatlan de Porfirio Diaz Mexico Yhteiskuntadatatieteen keskus (Centre for Social Data Science) Helsinki Finland Department of Internal Medicine Federal Medical Centre Abuja Nigeria Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Department of Medical Biochemistry and Biophysics Karolinska Institutet (Karolinska Institute) Stockholm Sweden Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Department of Biopharmaceutics and Clinical Pharmacy University of Jordan Amman Jordan Medical Research Center Hamad Medical Corporation Doha Qatar Department of Biochemistry and Molecular Medicine Alfaisal University Riyadh Saudi Arabia College of Graduate Health Sciences University of Tennessee Memphis TN United States School of Medicine Sydney NSW Australia Centre for Social Research in Health University of New South Wales Sydney NSW Australia Internal Medicine and Alcohol Related Disease Unit Fondazione Policlinico Universitario A. Gemelli IRCCS Rome Italy Department of Medical and Surgical Sciences Università Cattolica di Roma (Catholic University of Rome) Rome Italy Department of Obstetrics and Gynecology University of Texas Medical Branch Galveston TX United States Department of Biochemistry Osun State University Osogbo Nigeria Department of Pharmacology and Therapeutics University of Medical Sciences Ondo Ondo Nigeria Department of Veteri

Background: Decades of steady improvements in life expectancy in Europe slowed down from around 2011, well before the COVID-19 pandemic, for reasons which remain disputed. We aimed to assess how changes in risk factors and cause-specific death rates in different European countries related to changes in life expectancy in those countries before and during the COVID-19 pandemic. Methods: We used data and methods from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 to compare changes in life expectancy at birth, causes of death, and population exposure to risk factors in 16 European Economic Area countries (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, and Sweden) and the four UK nations (England, Northern Ireland, Scotland, and Wales) for three time periods: 1990–2011, 2011–19, and 2019–21. Changes in life expectancy and causes of death were estimated with an established life expectancy cause-specific decomposition method, and compared with summary exposure values of risk factors for the major causes of death influencing life expectancy. Findings: All countries showed mean annual improvements in life expectancy in both 1990–2011 (overall mean 0·23 years [95% uncertainty interval [UI] 0·23 to 0·24]) and 2011–19 (overall mean 0·15 years [0·13 to 0·16]). The rate of improvement was lower in 2011–19 than in 1990–2011 in all countries except for Norway, where the mean annual increase in life expectancy rose from 0·21 years (95% UI 0·20 to 0·22) in 1990–2011 to 0·23 years (0·21 to 0·26) in 2011–19 (difference of 0·03 years). In other countries, the difference in mean annual improvement between these periods ranged from –0·01 years in Iceland (0·19 years [95% UI 0·16 to 0·21] vs 0·18 years [0·09 to 0·26]), to –0·18 years in England (0·25 years [0·24 to 0·25] vs 0·07 years [0·06 to 0·08]). In 2019–21, there was an overall decrease in mean annual life expectancy a

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Current Status and Development Trend Analysis of Neutron Logging in Uranium Mines in China

引用

Journal of Physics: Conference Series 2021年第2期1865卷

作者： Zhifeng Liu Chenglong Ding Ruyang Wang Junwu Cao Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang 330013 Jiangxi China East China University of Technology China Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology East China University of Technology Nanchang 330013 Jiangxi China The 6th gas production plant of Changqing Oilfield

Neutron logging is a method of measuring uranium fission neutrons by bombarding uranium in ore beds with neutrons emitted by neutron sources or neutron generators. The pulsed neutron logging technology of uranium ore has been popularized and applied in the United States, Russia, Australia and other countries. The key technology is almost monopolized by these countries, but the technology is prohibited in China. In the field of uranium logging, natural gamma logging has always been used in China for uranium quantification, which is characterized by large error, low efficiency, high cost and technical and economic bottlenecks. Due to the fact that the research and application of pulsed neutron log in the field of petroleum exploration and production is relatively mature in China, it is urgent to develop relevant logging instruments and uranium quantitative interpretation methods as independent intellectual property rights. This will lead to a change in the backward appearance of uranium logging. This paper analyzes the research status and development trend of neutron logging in uranium at home and abroad.

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The Design and Implementation of an Augmented Reality Scheme Based on Netty Communication

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Journal of Physics: Conference Series 2020年第1期1575卷

作者： Yongping Gao Jie Wang Jingzhong Zhang Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology East China University of Technology Nanchang 330013 Jiangxi China Jiangxi Engineering Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang 330013 Jiangxi China Jiangxi ZhongYe Light Culture Technology Limited Company Nanchang 330006 Jiangxi China

This paper introduces a whole project of augmented reality interaction mode based on netty communication method, determines the main technical difficulties in the implementation process, and finds the solution by means of system architecture design and communication protocol development. In this paper, the netty framework is adopted to deal with network IO and business logic, and the communication between each terminal device, virtual environment and server is established through long connection, This paper adopts the netty framework to deal with network IO and business logic, establishes communication between each terminal device and virtual environment and server through long connection, so as to realize fast and natural real-time interaction between various interactive devices and other augmented reality devices and virtual environments under multiple users. It can also solve the problem of high concurrency of real-time communication between various devices and the virtual environment in augmented reality.

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