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arXiv 2021年

作者： Babar, Rohit Barcza, Gergely Pershin, Anton Park, Hyoju Lindvall, Oscar Bulancea Thiering, Gergo Legeza, Örs Warner, Jamie H. Abrikosov, Igor A. Gali, Adam Ivády, Viktor Department of Physics Chemistry and Biology Linköping University LinköpingSE-581 83 Sweden Wigner Research Centre for Physics PO Box 49 BudapestH-1525 Hungary Walker Department of Mechanical Engineering and Materials Graduate Program Texas Materials Institute The University of Texas at Austin AustinTX78712 United States Fachbereich Physik Philipps-Universität Marburg Marburg35032 Germany Institute for Advanced Study Technical University of Munich Lichtenbergstrasse 2a Garching85748 Germany Department of Atomic Physics Budapest University of Technology and Economics Budafoki út 8. BudapestH-1111 Hungary Max-Planck-Institut für Physik komplexer Systeme Nöthnitzer Street 38 DresdenD-01187 Germany

Point defect qubits in semiconductors have demonstrated their outstanding high spatial resolution sensing capabilities of broad multidisciplinary interest. Two-dimensional (2D) semiconductors hosting such sensors have recently opened up new horizons for sensing in the subnanometer scales in 2D heterostructures. However, controlled creation of quantum sensor in a single layer 2D materials with high sensitivity has been elusive so far. Here, we report on a novel 2D quantum sensor, the VB2 centre in hexagonal boron nitride (hBN), with superior sensing capabilities. The centres inherently low symmetry configuration gives rise to unique electronic and spin properties that implement a qubit in a 2D material with unprecedented sensitivity. The qubit is decoupled from its dense spin environment at low magnetic fields that gives rise to the reduction of the spin resonance linewidth and elongation of the coherence time. The VB2 centre is also equipped with a classical memory that can be utilized in storing population information. Using scanning transmission electron microscopy imaging, we confirm the presence of the point defect structure in free standing monolayer hBN created by electron beam irradiation. Our results provide a new material solution towards atomic-scale sensing in low dimensions. © 2021, CC BY.

关键词： III-V semiconductors

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Coulomb interaction-driven reshaped weyl fermionic dispersions in MoTe2

arXiv

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arXiv 2021年

作者： Kang, Seoung-Hun Jeon, Sangjun Kim, Hyun-Jung Ko, Wonhee Cho, Suyeon Kang, Se Hwang Kim, Sung Wng Yang, Heejun Kim, Hyo Won Son, Young-Woo Korea Institute for Advanced Study Seoul02455 Korea Republic of Department of Physics Chung-Ang University Seoul06974 Korea Republic of Peter Grünberg Institute Institute for Advanced Simulation Forschungszentrum Jülich Jülich52428 Germany Samsung Advanced Institute of Technology Suwon16678 Korea Republic of Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak RidgeTN37831 United States Department of Chemical Engineering and Materials Science Graduate Program in System Health Science and Engineering Ewha Womans University Seoul03760 Korea Republic of Department of Energy Science Sungkyunkwan University Suwon16419 Korea Republic of Department of Physics Korea Advanced Institute of Science and Technology Daejeon34141 Korea Republic of

We report the direct evidence of impacts of the Coulomb interaction in a prototypical Weyl semimetal, MoTe2, that alter its bare bands in a wide range of energy and momentum. Our quasiparticle interference patterns measured using scanning tunneling microscopy are shown to match the joint density of states of quasiparticle energy bands including momentum-dependent self-energy corrections, while electronic energy bands based on the other simpler local approximations of the Coulomb interaction fail to explain neither the correct number of quasiparticle pockets nor shape of their dispersions observed in our spectrum. With this, we predict a transition between type-I and type-II Weyl fermions with doping and resolve its disparate quantum oscillation experiments, thus highlighting the critical roles of Coulomb interactions in layered Weyl semimetals. © 2021, CC BY-NC-ND.

关键词： Dispersions

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Human-computer-interface for controlling the assistive technology device

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AIP Conference Proceedings 2020年第1期2314卷

作者： Osmalina Nur Rahma Maydiana Nurul Kurniawati Akif Rahmatillah Khusnul Ain 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Airlangga University Indonesia

Imagining a motion without doing the actual movement is known as Motor imaginary (MI). However, translating MI as an input for BCI that control the Assistive Technology (AT) device was a challenging method due to the extensive training required, poor user engagement, and visual feedback response delays. For a person who has difficulties to imagine without visual stimulation, more training should be conducted. Even with a visual stimulus, sometimes a person still finds it hard to distinguish between one movement and another. So, finding a suitable input to control an AT device that suitable for someone who has extremely limited movement is very challenging. In the other hand, EEG signal had been proven sufficient in detecting facial expression. Even though the EEG signal contains EMG facial artifact and considered as an unwanted signal for BCI, facial movement artifact could become a compensator signal for EEG based Human Computer Interface (HCI) system to improve efficiency. This study aims to develop HCI systems to distinguish three different movements (forward, backward, and stop) EEG signals that recorded from EEG EMOTIV Epoc based on different facial expression. This HCI system could bring benefit if it is implemented for AT device, such as rollator since the user could easily distinguish different movement without any visual stimuli required so could reduce an extensive training before usage and could improve the quality of life people with limited extremity movement.

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Charm- and bottom-quark production in Au+Au collisions at sNN=200 GeV

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Physical Review C 2024年第4期109卷 044907-044907页

作者： N. J. Abdulameer U. Acharya A. Adare C. Aidala N. N. Ajitanand Y. Akiba M. Alfred N. Apadula H. Asano B. Azmoun V. Babintsev M. Bai N. S. Bandara B. Bannier K. N. Barish S. Bathe A. Bazilevsky M. Beaumier S. Beckman R. Belmont A. Berdnikov Y. Berdnikov L. Bichon B. Blankenship D. S. Blau J. S. Bok V. Borisov K. Boyle M. L. Brooks J. Bryslawskyj V. Bumazhnov S. Campbell V. Canoa Roman C.-H. Chen M. Chiu C. Y. Chi I. J. Choi J. B. Choi T. Chujo Z. Citron M. Connors R. Corliss Y. Corrales Morales M. Csanád T. Csörgő T. W. Danley A. Datta M. S. Daugherity G. David C. T. Dean K. DeBlasio K. Dehmelt A. Denisov A. Deshpande E. J. Desmond A. Dion P. B. Diss J. H. Do V. Doomra A. Drees K. A. Drees J. M. Durham A. Durum A. Enokizono R. Esha B. Fadem W. Fan N. Feege D. E. Fields M. Finger, Jr. M. Finger D. Firak D. Fitzgerald S. L. Fokin J. E. Frantz A. Franz A. D. Frawley P. Gallus C. Gal P. Garg H. Ge M. Giles F. Giordano A. Glenn Y. Goto N. Grau S. V. Greene M. Grosse Perdekamp T. Gunji T. Hachiya J. S. Haggerty K. I. Hahn H. Hamagaki H. F. Hamilton J. Hanks S. Y. Han M. Harvey S. Hasegawa T. O. S. Haseler K. Hashimoto T. K. Hemmick X. He J. C. Hill A. Hodges R. S. Hollis K. Homma B. Hong T. Hoshino N. Hotvedt J. Huang K. Imai M. Inaba A. Iordanova D. Isenhower D. Ivanishchev B. V. Jacak M. Jezghani X. Jiang Z. Ji B. M. Johnson D. Jouan D. S. Jumper S. Kanda J. H. Kang D. Kawall A. V. Kazantsev J. A. Key V. Khachatryan A. Khanzadeev A. Khatiwada B. Kimelman C. Kim D. J. Kim E.-J. Kim G. W. Kim M. Kim T. Kim D. Kincses A. Kingan E. Kistenev R. Kitamura J. Klatsky D. Kleinjan P. Kline T. Koblesky B. Komkov D. Kotov L. Kovacs B. Kurgyis K. Kurita M. Kurosawa Y. Kwon J. G. Lajoie D. Larionova A. Lebedev S. Lee S. H. Lee M. J. Leitch N. A. Lewis S. H. Lim M. X. Liu X. Li D. A. Loomis D. Lynch S. Lökös T. Majoros Y. I. Makdisi M. Makek A. Manion V. I. Manko E. Mannel M. McCumber P. L. McGaughey D. McGlinchey C. McKinney A. Meles M. Mendoza A. C. Mignerey A. Milov D. K. Mishra J. T. Mitchell M. Mitrankova Iu. Mitrankov S. Miyas Debrecen University H-4010 Debrecen Egyetem tér 1 Hungary Georgia State University Atlanta Georgia 30303 USA University of Colorado Boulder Colorado 80309 USA Department of Physics University of Michigan Ann Arbor Michigan 48109-1040 USA Chemistry Department Stony Brook University SUNY Stony Brook New York 11794-3400 USA RIKEN Nishina Center for Accelerator-Based Science Wako Saitama 351-0198 Japan RIKEN BNL Research Center Brookhaven National Laboratory Upton New York 11973-5000 USA Department of Physics and Astronomy Howard University Washington DC 20059 USA Iowa State University Ames Iowa 50011 USA Department of Physics and Astronomy Stony Brook University SUNY Stony Brook New York 11794-3800 USA Kyoto University Kyoto 606-8502 Japan Physics Department Brookhaven National Laboratory Upton New York 11973-5000 USA IHEP Protvino State Research Center of Russian Federation Institute for High Energy Physics Protvino 142281 Russia Collider-Accelerator Department Brookhaven National Laboratory Upton New York 11973-5000 USA Department of Physics University of Massachusetts Amherst Massachusetts 01003-9337 USA University of California-Riverside Riverside California 92521 USA Baruch College City University of New York New York New York 10010 USA Physics and Astronomy Department University of North Carolina at Greensboro Greensboro North Carolina 27412 USA Saint Petersburg State Polytechnic University St. Petersburg 195251 Russia Vanderbilt University Nashville Tennessee 37235 USA National Research Center “Kurchatov Institute” Moscow 123098 Russia National Research Nuclear University MEPhI Moscow Engineering Physics Institute Moscow 115409 Russia New Mexico State University Las Cruces New Mexico 88003 USA Los Alamos National Laboratory Los Alamos New Mexico 87545 USA Columbia University New York New York 10027 and Nevis Laboratories Irvington New York 10533 USA University of Illinois at Urbana-Champaign Urbana Illinois 61801 USA Je

The invariant yield of electrons from open-heavy-flavor decays for 1<pT<8 GeV/c at midrapidity |y|<0.35 in Au+Au collisions at sNN = 200 GeV has been measured by the PHENIX experiment at the BNL Relativistic ... 详细信息

The invariant yield of electrons from open-heavy-flavor decays for 1

关键词： Hadronic decays Jets & heavy flavor physics Particle & resonance production Bottom quark Charm quark Hadron colliders

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Emergence of functional information from multivariate correlations

arXiv

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arXiv 2021年

作者： Adami, Christoph Nitash, C.G. Department of Microbiology and Molecular Genetics Michigan State University East LansingMI48824 United States Beacon Center for the Study of Evolution Action Michigan State University East LansingMI48824 United States Department of Physics and Astronomy Michigan State University East LansingMI48824 United States Program in Ecology Evolution and Behavior Michigan State University East LansingMI48824 United States Department of Computer Science and Engineering Michigan State University East LansingMI48824 United States

The information content of symbolic sequences (such as nucleic- or amino acid sequences, but also neuronal firings or strings of letters) can be calculated from an ensemble of such sequences, but because information cannot be assigned to single sequences, we cannot correlate information to other observables attached to the sequence. Here we show that an information score obtained from multivariate (multiple-variable) correlations within sequences of a \training" ensemble can be used to predict observables of out-of-sample sequences with an accuracy that scales with the complexity of correlations, showing that functional information emerges from a hierarchy of multi-variable correlations. Copyright © 2021, The Authors. All rights reserved.

关键词： Machine learning

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Application of gray level run length matrices features extraction for diabetic retinopathy detection based on artificial neural network

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AIP Conference Proceedings 2020年第1期2314卷

作者： Bestia Kumala Wardani Nathania Earlene Belinda Riries Rulaningtyas Endah Purwanti 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia

Diabetic Retinopathy (DR) is Diabetes Mellitus microvascular complication, which attacks the eyes and can cause blindness. The DR examination currently is done with the fundus photography technique. The image produced by the technique is studied by the ophthalmologist manually. This research aimed to develop a computer aided diagnosis in the DR detection system using Gray Level Run Length Matrices (GLRLM) features extraction and Artificial Neural Network. This DR detection was done by Gray Level Run Length Metrices (GLRLM) texture features extraction method. Five texture features used were: Short Run Emphasis (SRE), Long Run Emphasis (LRE), Gray Level Non-Uniformity (GLN), Run Length Non-Uniformity (RLN), and Run Perecentage (RP). The five features were used as Backpropagation Artificial Neural Network input. The parameters are varied in the Backpropagation Artificial Neural Network training phase. The data used in this research were 110 retinal fundus images consists of 20 normal retinal fundus images, 45 NPDR retinal fundus images, and 45 PDR retinal fundus images. The highest accuracy result gained in the training phase is 97.14% and testing phase is 92.5%. This detection program produces a sensitivity value of 93.33% and a specificity value of 90%, therefore, it can be used as an initial indicator to detect DR.

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Wireless Disturbance Mapping and Path Selection for Placement of Network Control System Components 2

Wireless Disturbance Mapping and Path Selection for Placemen...

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2nd International Conference on Mechanical, Electronics, Computer, and Industrial Technology, MECnIT 2018

作者： Joelianto, Endra Ghazali, Muhammad Zhaka Juhana, Tutun Instrumentation and Control Research Group Faculty of Industrial Technology Institut Teknologi Bandung Jl. Ganesha 10 Bandung40132 Indonesia Engineering Physics Study Program Faculty of Industrial Technology Institut Teknologi Bandung Jl. Ganesha 10 Bandung40132 Indonesia Telecommunication Engineering School of Electrical and Informatics Institut Teknologi Bandung Jl. Ganesha 10 Bandung40132 Indonesia

Wireless transmitters in measurement instruments act for transmitting data or signals using radio frequency or currently better known as WIFI by means of 2.4 GHz. WIFI is a wireless local area network (WLAN) communication network. With the existence of telecommunications, measurement and control in industrial processes are heading to a high level of reliability compared to the conventional wired instruments in reaching hard locations or dangerous and hazardous areas. However, this cannot be done easily especially in maintaining the communication performances. Research is needed on the reliability of the wireless transmitter itself. Several factors such as communication disruptions are new challenges for the industry of wireless technology manufacturers to be able to prevent or to minimize errors that can arise in wireless network control systems. Signal strength mapping is needed in designing wireless network control systems. In this paper, the mapping is performed by measuring the signal strength parameters (Power Level) and the use of channels (Channel Usage) at planned locations. The measurement results are then used as sample points in the mapping. Data show that the signal strength measurement at each channel has a maximum of - 60 dBm and a minimum of -105 dBm. Mapping is performed by using two methods, namely Inverse Distance Weight (IDW) and Spline Interpolation (SI) methods. The paper proposes an algorithm to select the appropriate wireless communication paths from the planned locations. The mapping results indicate the appropriate area to place the transmitter and the receiver devices in a wireless data transmission network. With good placement, it is expected that measurements using wireless transmitters have minimum disruptions. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Mapping

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Filter design on EMG multichannel based python programmer

引用

AIP Conference Proceedings 2020年第1期2314卷

作者： Prihartini Widiyanti Aji Sapta Pramulen Akif Rahmatillah 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia

Currently, EMG devices are used as recording and monitor device for muscle activity. However, the existing tools use licensed software that result in limited features provided. In addition, the inability of the tools to be able to record simultaneous movements involving several muscles at the same time is another problem regarding the design of EMG device systems. This research is done to design a multichannel EMG filter using python programming. Therefore, the design of this device consists of hardware in the form of instrumentation amplifier circuit, NI DAQ USB 6009 as data acquisition, and software part consisting of signal processing (filtering, rectifying, smoothing) and signal interface on Personal Computer (PC) using Python 2.7. The device testing is done in 2 ways, that is finance and tools from EMG itself. The instrumentation test got the strengthening value 15,241 times with linearity of 0.941. In addition, Butterworth IIR filter response is obtained according to the design of the cut off frequency of 15-450 Hz and 50 Hz. Performance testing of prototype EMG devices is done with compare of standard EMG and recording is done on normal male. Qualitatively the recording signal features using EMG of research with simultaneous movements identical to the recording signal features using standard EMG. The analysis of the results uses this type of qualitative analysis which sees how the similarity of the frequency range on the FFT of EMG research results with standard EMG in hospitals. The results obtained are the same frequency range at 15 – 450 Hz.

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Design and Application Data Collection for integrated evaluation and monitoring

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IOP Conference Series: Materials Science and engineering 2021年第1期1088卷

作者： Muhammad Hidayatullah Agus Teguh Wahyudi Shinta Esabella Titi Andriani G Gunawan Faculty of Engineering Universitas Teknologi Sumbawa Indonesia. 84371 Office of Informatics and Statistics Communication Sumbawa Regency Indonesia. Physics Education Study Program Faculty of Teacher Training and Education Universitas Mataram Indonesia. 83125

The process of data collection of tax subjects and objects at the Regional Revenue Agency (BAPENDA) of Sumbawa Regency is still manual, where the subject and tax object data are still managed in the form of records on bookkeeping media and office application office media applications such as Microsoft Excel. The need for an application design as a form of digitizing a manual process in the governance system to improve the effectiveness and efficiency of the agency. The research aims to develop Tax Object Subject Data Collection Applications. The application is built with Web-based programming, using the PHP programming Language and Sublime Text as Tools Editor and MySQL as a data storage medium. The application built can present data collection features related to tax object subject data such as companies, restaurants, hotels, parking and ground water data and can display reports in the form of data related to tax object and object data collection to facilitate the monitoring process in BAPENDA Sumbawa Regency.

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Identified charged-hadron production in p+Al, He3+Au, and Cu+Au collisions at sNN=200GeV and in U+U collisions at sNN=193GeV

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Physical Review C 2024年第5期109卷 054910-054910页

作者： N. J. Abdulameer U. Acharya A. Adare C. Aidala N. N. Ajitanand Y. Akiba R. Akimoto J. Alexander M. Alfred V. Andrieux K. Aoki N. Apadula H. Asano E. T. Atomssa T. C. Awes B. Azmoun V. Babintsev M. Bai X. Bai N. S. Bandara B. Bannier K. N. Barish S. Bathe V. Baublis C. Baumann S. Baumgart A. Bazilevsky M. Beaumier S. Beckman R. Belmont A. Berdnikov Y. Berdnikov L. Bichon D. Black B. Blankenship D. S. Blau J. S. Bok V. Borisov K. Boyle M. L. Brooks J. Bryslawskyj H. Buesching V. Bumazhnov S. Butsyk S. Campbell V. Canoa Roman R. Cervantes C.-H. Chen D. Chen M. Chiu C. Y. Chi I. J. Choi J. B. Choi S. Choi P. Christiansen T. Chujo V. Cianciolo Z. Citron B. A. Cole M. Connors R. Corliss Y. Corrales Morales N. Cronin N. Crossette M. Csanád T. Csörgő L. D'Orazio T. W. Danley A. Datta M. S. Daugherity G. David C. T. Dean K. DeBlasio K. Dehmelt A. Denisov A. Deshpande E. J. Desmond L. Ding A. Dion P. B. Diss D. Dixit V. Doomra J. H. Do O. Drapier A. Drees K. A. Drees J. M. Durham A. Durum H. En'yo T. Engelmore A. Enokizono R. Esha K. O. Eyser B. Fadem W. Fan N. Feege D. E. Fields M. Finger, Jr. M. Finger D. Firak D. Fitzgerald F. Fleuret S. L. Fokin J. E. Frantz A. Franz A. D. Frawley Y. Fukao Y. Fukuda T. Fusayasu K. Gainey P. Gallus C. Gal P. Garg A. Garishvili I. Garishvili H. Ge M. Giles F. Giordano A. Glenn X. Gong M. Gonin Y. Goto R. Granier de Cassagnac N. Grau S. V. Greene M. Grosse Perdekamp Y. Gu T. Gunji T. Guo H. Guragain T. Hachiya J. S. Haggerty K. I. Hahn H. Hamagaki H. F. Hamilton J. Hanks S. Y. Han M. Harvey S. Hasegawa T. O. S. Haseler K. Hashimoto R. Hayano T. K. Hemmick T. Hester X. He J. C. Hill K. Hill A. Hodges R. S. Hollis K. Homma B. Hong T. Hoshino N. Hotvedt J. Huang T. Ichihara Y. Ikeda K. Imai Y. Imazu M. Inaba A. Iordanova D. Isenhower A. Isinhue D. Ivanishchev B. V. Jacak S. J. Jeon M. Jezghani X. Jiang Z. Ji B. M. Johnson K. S. Joo D. Jouan D. S. Jumper J. Kamin S. Kanda B. H. Kang J. H. Kang J. S. Kang D. Kapukchyan J. Kapustinsky S. Karthas D. Kawall A. V. Kazantsev J. A. Key V. Khachatrya Debrecen University H-4010 Debrecen Egyetem tér 1 Hungary Georgia State University Atlanta Georgia 30303 USA University of Colorado Boulder Colorado 80309 USA Los Alamos National Laboratory Los Alamos New Mexico 87545 USA Department of Physics University of Michigan Ann Arbor Michigan 48109 USA Chemistry Department State University of New York at Stony Brook Stony Brook New York 11794 USA RIKEN Nishina Center for Accelerator-Based Science Wako Saitama 351-0198 Japan RIKEN BNL Research Center Brookhaven National Laboratory Upton New York 11973 USA Center for Nuclear Study Graduate School of Science University of Tokyo 7-3-1 Hongo Bunkyo Tokyo 113-0033 Japan Department of Physics and Astronomy Howard University Washington DC 20059 USA KEK High Energy Accelerator Research Organization Tsukuba Ibaraki 305-0801 Japan Iowa State University Ames Iowa 50011 USA Department of Physics and Astronomy State University of New York at Stony Brook Stony Brook New York 11794 USA Kyoto University Kyoto 606-8502 Japan Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA Physics Department Brookhaven National Laboratory Upton New York 11973 USA IHEP Protvino State Research Center of Russian Federation Institute for High Energy Physics Protvino 142281 Russia Collider-Accelerator Department Brookhaven National Laboratory Upton New York 11973 USA Science and Technology on Nuclear Data Laboratory China Institute of Atomic Energy Beijing 102413 People's Republic of China Department of Physics University of Massachusetts Amherst Massachusetts 01003 USA University of California-Riverside Riverside California 92521 USA Baruch College City University of New York New York New York 10010 USA Petersburg Nuclear Physics Institute Gatchina Leningrad Region 188300 Russia Physics and Astronomy Department University of North Carolina at Greensboro Greensboro North Carolina 27412 USA Vanderbilt University Nashville Tennessee 37235 USA Saint Petersburg Stat

The PHENIX experiment has performed a systematic study of identified charged-hadron (π±, K±, p, p¯) production at midrapidity in p+Al, He3+Au, and Cu+Au collisions at sNN=200GeV and U+U collisions at sNN=193GeV. Identified charged-hadron invariant transverse-momentum (pT) and transverse-mass (mT) spectra are presented and interpreted in terms of radially expanding thermalized systems. The particle ratios of K/π and p/π have been measured in different centrality ranges of large (Cu+Au and U+U) and small (p+Al and He3+Au) collision systems. The values of K/π ratios measured in all considered collision systems were found to be consistent with those measured in p+p collisions. However, the values of p/π ratios measured in large collision systems reach the values of ≈0.6, which is a factor of ≈2 larger than in p+p collisions. These results can be qualitatively understood in terms of the baryon enhancement expected from hadronization by recombination. Identified charged-hadron nuclear-modification factors (RAB) are also presented. Enhancement of proton RAB values over meson RAB values was observed in central He3+Au, Cu+Au, and U+U collisions. The proton RAB values measured in the p+Al collision system were found to be consistent with RAB values of ϕ, π±, K±, and π0 mesons, which may indicate that the size of the system produced in p+Al collisions is too small for recombination to cause a noticeable increase in proton production.

关键词： Hadron production Relativistic heavy-ion collisions Hadrons Kaons Pions Protons

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