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arXiv 2020年

作者： Li, Peining Hu, Guangwei Dolado, Irene Tymchenko, Mykhailo Qiu, Cheng-Wei Alfaro-Mozaz, Francisco Javier Casanova, Felix Hueso, Luis E. Liu, Song Edgar, James H. Vélez, Saül Alu, Andrea Hillenbrand, Rainer Wuhan National Laboratory for Optoelectronics School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China CIC nanoGUNE BRTA Donostia-San Sebastián20018 Spain Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore117583 Singapore Advanced Science Research Center City University of New York New York10031 United States IKERBASQUE Basque Foundation for Science Bilbao48013 Spain Tim Taylor Dept. of Chemical Engineering Kansas State University ManhattanKS66506 United States Department of Materials ETH Zürich Zürich8093 Switzerland CIC NanoGUNE BRTA UPV EHU Donostia-San Sebastián20018 Spain

Polaritons - coupled excitations of photons and dipolar matter excitations - can propagate along anisotropic metasurfaces with either hyperbolic or elliptical dispersion. At the transition from hyperbolic to elliptical dispersion (corresponding to a topological transition), various intriguing phenomena are found, such as an enhancement of the photonic density of states, polariton canalization and hyperlensing. Here we investigate theoretically and experimentally the topological transition and the polaritonic coupling of deeply subwavelength elements (structure sizes ∼ λ/100, λ being the free-space wavelength) in a uniaxial infrared-phononic metasurface, a grating of hexagonal boron nitride (hBN) nanoribbons. By hyperspectral infrared nanoimaging, we observe, for the first time, a synthetic transverse optical phonon resonance (that is, the strong collective near-field coupling of the nanoribbons) in the middle of the hBN Reststrahlen band, yielding a topological transition from hyperbolic to elliptical dispersion. We further visualize and characterize the spatial evolution of a deeply subwavelength canalization mode (a spatial confinement of about 300 nm, ∼ λ/22) near the transition frequency, which is a collimated polariton that is the basis for hyperlensing and diffraction-less propagation. Our results provide fundamental insights into the role of polaritonic near-field coupling in metasurfaces for creating topological transitions and polariton canalization. Copyright © 2020, The Authors. All rights reserved.

关键词： Photons

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Nested sampling for physical scientists (vol 2, 39, 2022)

NATURE REVIEWS METHODS PRIMERS

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NATURE REVIEWS METHODS PRIMERS 2022年第1期2卷 1页

作者： Ashton, Greg Bernstein, Noam Buchner, Johannes Chen, Xi Csanyi, Gabor Fowlie, Andrew Feroz, Farhan Griffiths, Matthew Handley, Will Habeck, Michael Higson, Edward Hobson, Michael Lasenby, Anthony Parkinson, David Partay, Livia B. Pitkin, Matthew Schneider, Doris Speagle, Joshua S. South, Leah Veitch, John Wacker, Philipp Wales, David J. Yallup, David School of Physics and Astronomy Monash University Melbourne Victoria Australia Department of Physics Royal Holloway University of London London UK Center for Materials Physics and Technology US Naval Research Laboratory Washington DC USA Max Planck Institute for Extraterrestrial Physics Garching Germany Department of Computer Science University of Bath Bath UK Engineering Laboratory University of Cambridge Cambridge UK Department of Physics and Institute of Theoretical Physics Nanjing Normal University Nanjing China London UK Concr Ltd Cambridge UK Astrophysics Group Cavendish Laboratory University of Cambridge Cambridge UK Kavli Institute for Cosmology University of Cambridge Cambridge UK Microscopic Image Analysis Group Jena University Hospital Jena Germany The D. E. Shaw group New York NY USA Center for Theoretical Astrophysics Korea Astronomy and Space Science Institute Daejeon Korea Department of Chemistry University of Warwick Coventry UK Department of Physics Lancaster University Lancaster UK Department of Mathematics Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany Dunlap Institute for Astronomy and Astrophysics University of Toronto Toronto Ontario Canada David A. Dunlap Department of Astronomy & Astrophysics University of Toronto Toronto Ontario Canada Department of Statistical Sciences University of Toronto Toronto Ontario Canada School of Mathematical Sciences Queensland University of Technology Brisbane Queensland Australia School of Physics and Astronomy University of Glasgow Glasgow UK Yusuf Hamied Department of Chemistry University of Cambridge Cambridge UK

This Primer examines Skilling’s nested sampling algorithm for Bayesian inference and, more broadly, multidimensional integration. The principles of nested sampling are summarized and recent developments using efficient nested sampling algorithms in high dimensions surveyed, including methods for sampling from the constrained prior. Different ways of applying nested sampling are outlined, with detailed examples from three scientific fields: cosmology, gravitational-wave astronomy and materials science. Finally, the Primer includes recommendations for best practices and a discussion of potential limitations and optimizations of nested sampling.

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Hybrid Hadronization - A Study of In-Medium Hadronization of Jets

arXiv

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arXiv 2025年

作者： Sengupta, A. Fries, R.J. Kordell, M. Kim, B. Angerami, A. Arora, R. Bass, S.A. Chen, Y. Datta, R. Du, L. Ehlers, R. Elfner, H. Gale, C. He, Y. Jacak, B.V. Jacobs, P.M. Jeon, S. Ji, Y. Jonas, F. Kasper, L. Kumar, A. Kunnawalkam-Elayavalli, R. Latessa, J. Lee, Y.-J. Lemmon, R. Luzum, M. Majumder, A. Mak, S. Mankolli, A. Martin, C. Mehryar, H. Mengel, T. Nattrass, C. Norman, J. Parker, C. Paquet, J.-F. Putschke, J.H. Roch, H. Roland, G. Schenke, B. Schwiebert, L. Shen, C. Singh, M. Sirimanna, C. Soeder, D. Soltz, R.A. Soudi, I. Tachibana, Y. Velkovska, J. Vujanovic, G. Wang, X.-N. Wu, X. Zhao, W. Cyclotron Institute Texas A&M University College StationTX77843 United States Department of Physics and Astronomy Texas A&M University College StationTX77843 United States Lawrence Livermore National Laboratory LivermoreCA94550 United States Department of Computer Science Wayne State University DetroitMI48202 United States Department of Physics Duke University DurhamNC27708 United States Laboratory for Nuclear Science Massachusetts Institute of Technology CambridgeMA02139 United States Department of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Department of Physics and Astronomy Vanderbilt University NashvilleTN37235 United States Department of Physics and Astronomy Wayne State University DetroitMI48201 United States Department of Physics McGill University MontréalQCH3A2T8 Canada Department of Physics University of California BerkeleyCA94270 United States Nuclear Science Division Lawrence Berkeley National Laboratory BerkeleyCA94270 United States GSI Helmholtzzentrum für Schwerionenforschung Darmstadt64291 Germany Institute for Theoretical Physics Goethe University Frankfurt am Main60438 Germany Frankfurt Institute for Advanced Studies Frankfurt am Main60438 Germany School of Physics and Optoelectronics South China University of Technology Guangzhou510640 China Department of Statistical Science Duke University DurhamNC27708 United States Department of Physics University of Regina ReginaSKS4S 0A2 Canada Daresbury Laboratory Daresbury Cheshire WarringtonWA44AD United Kingdom Instituto de Fìsica Universidade de São Paulo C.P. 66318 SP São Paulo05315-970 Brazil Department of Physics and Astronomy University of Tennessee KnoxvilleTN37996 United States Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Physics Department Brookhaven National Laboratory UptonNY11973 United States RIKEN BNL Research Center Brookhaven National Laboratory UptonNY11973 United St

QCD jets are considered important probes for quark gluon plasma created in collisions of nuclei at high energies. Their parton showers are significantly altered if they develop inside of a deconfined medium. Hadronization of jets is also thought to be affected by the presence of quarks and gluons. We present a systematic study of the effects of a thermal bath of partons on the hadronization of parton showers. We use the JETSCAPE framework to create parton showers both in vacuum and in a brick of quark gluon plasma. The brick setup allows important parameters, like the size of the plasma as well as the collective flow of partons, to be varied systematically. We hadronize the parton showers using Hybrid Hadronization, which permits shower partons to form strings with thermal partons, or to recombine directly with thermal partons as well as with each other. We find a sizeable amount of interaction of shower partons with thermal partons during hadronization, indicating a natural continuation of the interaction of jet and medium during this stage. The observed effects grow with the size of the medium. Collective flow easily transfers from the thermal partons onto the emerging jet hadrons. We also see a significant change in hadron chemistry as expected in the presence of quark recombination processes. © 2025, CC BY.

关键词： Hadrons

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Thermal generation, manipulation and detection of skyrmions

arXiv

引用

arXiv 2020年

作者： Wang, Zidong Guo, Minghua Zhou, Heng-An Zhao, Le Xu, Teng Tomasello, Riccardo Bai, Hao Dong, Yiqing Je, Soong Geun Chao, Weilun Han, Hee-Sung Lee, Suseok Lee, Ki-Suk Yao, Yunyan Han, Wei Song, Cheng Wu, Huaqiang Carpentieri, Mario Finocchio, Giovanni Im, Mi-Young Lin, Shi-Zeng Jiang, Wanjun State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics Tsinghua University Beijing100084 China Frontier Science Center for Quantum Information Tsinghua University Beijing100084 China Institute of Microelectronics Tsinghua University Beijing100084 China Institute of Applied and Computational Mathematics FORTH Heraklion-CreteGR-70013 Greece Center for X-ray Optics Advanced Light Source Lawrence Berkeley National Laboratory Cyclotron Road BerkeleyCA94720 United States Department of Physics Chonnam National University Gwangju61186 Korea Republic of School of Materials Science and Engineering Ulsan National Institute of Science and Technology Ulsan44919 Korea Republic of Daegu Gyeongbuk Institute of Science and Technology Daegu711-873 Korea Republic of International Center for Quantum Materials School of Physics Peking University Beijing100871 China School of Materials Science and Engineering Tsinghua University Beijing100084 China Department of Electrical and Information Engineering Polytechnic of Bari Bari70125 Italy Department of Mathematical and Computer Sciences Physical Sciences and Earth Sciences University of Messina Messina98166 Italy Theoretical Division T-4 and CNLS Los Alamos National Laboratory Los AlamosNM87545 United States

Recent years have witnessed significant progresses in realizing skyrmions in chiral magnets1-4 and asymmetric magnetic multilayers5-13, as well as their electrical manipulation2,7,8,10. Equally important, thermal generation, manipulation and detection of skyrmions can be exploited for prototypical new architecture with integrated computation14 and energy harvesting15. It has yet to verify if skyrmions can be purely generated by heating16,17, and if their resultant direction of motion driven by temperature gradients follows the diffusion or, oppositely, the magnonic spin torque17-21. Here, we address these important issues in microstructured devices made of multilayers - [Ta/CoFeB/MgO]15, [Pt/CoFeB/MgO/Ta]15 and [Pt/Co/Ta]15 integrated with on-chip heaters, by using a full-field soft X-ray microscopy. The thermal generation of densely packed skyrmions is attributed to the low energy barrier at the device edge, together with the thermally induced morphological transition from stripe domains to skyrmions. The unidirectional diffusion of skyrmions from the hot region towards the cold region is experimentally observed. It can be theoretically explained by the combined contribution from repulsive forces between skyrmions, and thermal spin-orbit torques in competing with magnonic spin torques17,18,20,21 and entropic forces22. These thermally generated skyrmions can be further electrically detected by measuring the accompanied anomalous Nernst voltages23. The on-chip thermoelectric generation, manipulation and detection of skyrmions could open another exciting avenue for enabling skyrmionics, and promote interdisciplinary studies among spin caloritronics15, magnonics24 and skyrmionics3,4,12. Copyright © 2020, The Authors. All rights reserved.

关键词： Energy harvesting

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Exploring atmospheric neutrino oscillations at ESSnuSB

arXiv

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arXiv 2024年

作者： Aguilar, J. Anastasopoulos, M. Baussan, E. Bhattacharyya, A.K. Bignami, A. Blennow, M. Bogomilov, M. Bolling, B. Bouquerel, E. Bramati, F. Branca, A. Brunetti, G. Bustinduy, I. Carlile, C.J. Cederkall, J. Choi, T.W. Choubey, S. Christiansen, P. Collins, M. Cristaldo Morales, E. Cupial, P. Danared, H. de André, J.P.A.M. Dracos, M. Efthymiopoulos, I. Ekelöf, T. Eshraqi, M. Fanourakis, G. Farricker, A. Fasoula, E. Fukuda, T. Gazis, N. Geralis, Th. Ghosh, M. Giarnetti, A. Gokbulut, G. Hagner, C. Halić, L. Hooft, M. Iversen, K.E. Jachowicz, N. Jenssen, M. Johansson, R. Kasimi, E. Kayis Topaksu, A. Kildetoft, B. Kordas, K. Leisos, A. Lindroos, M. Longhin, A. Maiano, C. Marangoni, S. Marrelli, C. Meloni, D. Mezzetto, M. Milas, N. Muñoz, J.L. Niewczas, K. Oglakci, M. Ohlsson, T. Olvegård, M. Pari, M. Patrzalek, D. Petkov, G. Petridou, Ch. Poussot, P. Psallidas, A. Pupilli, F. Saiang, D. Sampsonidis, D. Schwab, C. Sordo, F. Sosa, A. Stavropoulos, G. Tarkeshian, R. Terranova, F. Tolba, T. Trachanas, E. Tsenov, R. Tsirigotis, A. Tzamarias, S.E. Vankova-Kirilova, G. Vassilopoulos, N. Vihonen, Sampsa Wurtz, J. Zeter, V. Zormpa, O. Consorcio ESS-bilbao Parque Científico y Tecnológico de Bizkaia Laida Bidea Edificio 207-B Derio Bizkaia48160 Spain European Spallation Source Box 176 LundSE-221 00 Sweden IPHC Université de Strasbourg CNRS IN2P3 Strasbourg France Department of Physics School of Engineering Sciences KTH Royal Institute of Technology Stockholm106 91 Sweden The Oskar Klein Centre AlbaNova University Center Roslagstullsbacken 21 Stockholm106 91 Sweden Sofia University St. Kliment Ohridski Faculty of Physics Sofia1164 Bulgaria University of Milano-Bicocca INFN Sez. di Milano-Bicocca Milano20126 Italy Department of Physics Lund University P.O Box 118 Lund221 00 Sweden Department of Physics and Astronomy FREIA Division Uppsala University P.O. Box 516 Uppsala751 20 Sweden Faculty of Engineering Lund University P.O Box 118 Lund221 00 Sweden AGH University of Krakow al. A. Mickiewicza 30 Krakow30-059 Poland CERN Geneva 231211 Switzerland Institute of Nuclear and Particle Physics NCSR Demokritos Neapoleos 27 Agia Paraskevi15341 Greece Liverpool University WarringtonWA4 4AD United Kingdom Department of Physics Aristotle University of Thessaloniki Thessaloniki Greece Thessaloniki Greece Institute for Advanced Research Nagoya University Nagoya464–8601 Japan Center of Excellence for Advanced Materials and Sensing Devices Ruđer Bošković Institute Zagreb10000 Croatia Dipartimento di Matematica e Fisica Universitá di Roma Tre Via della Vasca Navale 84 Rome00146 Italy University of Cukurova Faculty of Science and Letters Department of Physics Adana01330 Turkey Department of Physics and Astronomy Ghent University Proeftuinstraat 86 GhentB-9000 Belgium Institute for Experimental Physics Hamburg University Hamburg22761 Germany Physics Laboratory School of Science and Technology Hellenic Open University Patras26335 Greece Department of Physics and Astronomy "G. Galilei" University of Padova INFN Sezione di Padova Italy INFN Sez. di Padova Padov

This study provides an analysis of atmospheric neutrino oscillations at the ESSnuSB far detector facility. The prospects of the two cylindrical Water Cherenkov detectors with a total fiducial mass of 540 kt are investigated over 10 years of data taking in the standard three-flavor oscillation scenario. We present the confidence intervals for the determination of mass ordering, θ23 octant as well as for the precisions on sin2 θ23 and |∆m231|. It is shown that mass ordering can be resolved by 3σ CL (5σ CL) after 4 years (10 years) regardless of the true neutrino mass ordering. Correspondingly, the wrong θ23 octant could be excluded by 3σ CL after 4 years (8 years) in the case where the true neutrino mass ordering is normal ordering (inverted ordering). The results presented in this work are complementary to the accelerator neutrino program in the ESSnuSB project. © 2024, CC BY.

关键词： Neutrons

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Collective nature of orbital excitations in layered cuprates in the absence of apical oxygens

arXiv

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arXiv 2023年

作者： Martinelli, Leonardo Wohlfeld, Krzysztof Pelliciari, Jonathan Arpaia, Riccardo Brookes, Nicholas B. Di Castro, Daniele Fernandez, Mirian G. Kang, Mingu Krockenberger, Yoshiharu Kummer, Kurt McNally, Daniel E. Paris, Eugenio Schmitt, Thorsten Yamamoto, Hideki Walters, Andrew Zhou, Ke-Jin Braicovich, Lucio Comin, Riccardo Sala, Marco Moretti Devereaux, Thomas P. Daghofer, Maria Ghiringhelli, Giacomo Dipartimento di Fisica Politecnico di Milano piazza Leonardo da Vinci 32 MilanoI-20133 Italy Institute of Theoretical Physics Faculty of Physics University of Warsaw Pasteura 5 WarsawPL-02093 Poland National Synchrotron Light Source II Brookhaven National Laboratory UptonNY11973 United States Department of Physics Massachusetts Institute of Technology CambridgeMA United States Quantum Device Physics Laboratory Department of Microtechnology and Nanoscience Chalmers University of Technology GöteborgSE-41296 Sweden ESRF-The European Synchrotron 71 Avenue des Martyrs CS 40220 GrenobleF-38043 France CNR-SPIN Dipartimento di Ingegneria Civile e Ingegneria Informatica Universit`a di Roma Tor Vergata Via del Politecnico 1 RomaI-00133 Italy Diamond Light Source Harwell Campus DidcotOX11 0DE United Kingdom NTT Basic Research Laboratories NTT Corporation Atsugi Kanagawa243-0198 Japan Photon Science Division Paul Scherrer Institut Villigen PSI5232 Switzerland Stanford Institute for Materials and Energy Sciences SLAC Menlo ParkCA94025 United States Department of Materials Science and Engineering Stanford University StanfordCA94305 United States Geballe Laboratory for Advanced Materials Stanford University StanfordCA94305 United States Institute for Functional Matter and Quantum Technologies University of Stuttgart Pfaffenwaldring 57 StuttgartD-70550 Germany Center for Integrated Quantum Science and Technology University of Stuttgart Pfaffenwaldring 57 StuttgartD-70550 Germany CNR-SPIN Dipartimento di Fisica Politecnico di Milano MilanoI-20133 Italy

We have investigated the 3d orbital excitations in CaCuO2 (CCO), Nd2CuO4 (NCO), and La2CuO4 (LCO) using high-resolution resonant inelastic x-ray scattering. In LCO they behave as well-localized excitations, similarly to several other cuprates. On the contrary, in CCO and NCO the dxy orbital clearly disperse, pointing to a collective character of this excitation (orbiton) in compounds without apical oxygen. We ascribe the origin of the dispersion as stemming from a substantial next-nearest-neighbor (NNN) orbital superexchange. Such an exchange leads to the liberation of the orbiton from its coupling to magnons, which is associated with the orbiton hopping between nearest neighbor copper sites. Finally, we show that the exceptionally large NNN orbital superexchange can be traced back to the absence of apical oxygens suppressing the charge transfer energy. Copyright © 2023, The Authors. All rights reserved.

关键词： Copper compounds

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Visualizing structure and transitions in high-dimensional biological data (vol 54, pg 781, 2019)

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NATURE BIOTECHNOLOGY 2020年第1期38卷 108-108页

作者： Moon, Kevin R. van Dijk, David Wang, Zheng Gigante, Scott Burkhardt, Daniel B. Chen, William S. Yim, Kristina van den Elzen, Antonia Hirn, Matthew J. Coifman, Ronald R. Ivanova, Natalia B. Wolf, Guy Krishnaswamy, Smita Department of Mathematics and Statistics Utah State University Logan USA Cardiovascular Research Center section Cardiology Department of Internal Medicine Yale University New Haven USA Department of Computer Science Yale University New Haven USA School of Basic Medicine Qingdao University Qingdao China Yale Stem Cell Center Department of Genetics Yale University New Haven USA Computational Biology and Bioinformatics Program Yale University New Haven USA Department of Genetics Yale University New Haven USA Department of Computational Mathematics Science and Engineering Michigan State University East Lansing USA Department of Mathematics Michigan State University East Lansing USA Applied Mathematics Program Yale University New Haven USA Department of Genetics Center for Molecular Medicine University of Georgia Athens USA Department of Mathematics and Statistics Université de Montréal Montréal Canada Mila—Quebec Artificial Intelligence Institute Montréal Canada

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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CGM Data Analysis 2.0: Functional Data Pattern Recognition and Artificial Intelligence Applications

arXiv

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arXiv 2025年

作者： Kovatchev, Boris Klonoff, David C. Bergenstal, Richard M. Clements, Mark A. Espes, Daniel Espinoza, Juan Kerr, David Cengiz, Eda Maahs, David M. Mader, Julia K. Mathioudakis, Nestoras Metwally, Ahmed A. Shah, Shahid N. Sheng, Bin Snyder, Michael P. Umpierrez, Guillermo Ayers, Alessandra T. Ho, Cindy N. Healey, Elizabeth Diabetes Research Institute Mills-Peninsula Medical Center San MateoCA United States International Diabetes Center at Park Nicollet MN United States Department of Pediatrics University of California San Francisco San FranciscoCA United States Children’s Mercy Kansas City Kansas CityMO United States Department of Medical Cell Biology Department of Medical Sciences Science for Life Laboratory Uppsala University Sweden Stanley Manne Children’s Research Institute Ann & Robert H. Lurie Children’s Hospital of Chicago ChicagoIL United States Center for Health Systems Research Sutter Health Santa BarbaraCA United States Center for Diabetes Technology School of Medicine University of Virginia CharlottesvilleVA United States Department of Pediatrics Stanford University StanfordCA United States Division of Endocrinology and Diabetology Department of Internal Medicine Medical University of Graz Graz Austria School of Medicine Johns Hopkins University BaltimoreMD United States Google Research Mountain ViewCA United States Systems and Biomedical Engineering Department Cairo University Giza Egypt Netspective Foundation Inc. Silver SpringMD United States Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China Department of Genetics Stanford University StanfordCA United States Division of Endocrinology Department of Medicine Emory University School of Medicine AtlantaGA United States Diabetes Technology Society BurlingameCA United States Boston Children’s Hospital Harvard Medical School BostonMA United States

New methods of CGM data analysis are emerging that are valuable for interpreting CGM patterns and underlying metabolic physiology. These new methods use functional data analysis and artificial intelligence (AI), including machine learning (ML). Compared to traditional metrics for evaluating CGM tracing results (CGM Data Analysis 1.0), these new methods, which we refer to as CGM Data Analysis 2.0, can provide a more detailed understanding of glucose fluctuations and trends and enable more personalized and effective diabetes management strategies once translated into practical clinical solutions. © 2025, CC BY.

关键词： Pattern recognition

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Femtomolar-Level Detection of Sars-Cov-2 Spike Proteins Using Toroidal Plasmonic Metasensors

arXiv

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arXiv 2020年

作者： Ahmadivand, Arash Gerislioglu, Burak Ramezani, Zeinab Kaushik, Ajeet Manickam, Pandiaraj Ghoreishi, S. Amir Department of Electrical and Computer Engineering Rice University 6100 Main St HoustonTX77005 United States Department of Physics and Astronomy Rice University 6100 Main St HoustonTX77005 United States Department of Electrical and Computer Engineering Northeastern University BostonMA02115 United States NanoBioTech Laboratory Department of Natural Sciences Division of Sciences Art & Mathematics Florida Polytechnic University LakelandFL33805 United States KaraikudiTamil Nadu630 003 India GhaziabadUttar Pradesh201 002 India Faculty of Electrical & Computer Engineering Science and Research Branch Islamic Azad University of Tehran Tehran Iran

Effective and efficient management of human betacoronavirus severe acute respiratory syndrome (SARS)-CoV-2 infection i.e., COVID-19 pandemic, required sensitive sensors with short sample-to-result durations for performing diagnostics. In this direction, one of appropriate alternative approach to detect SARS-CoV-2 at low level (fmol) is exploring plasmonic metasensor technology for COVID-19 diagnostics, which offers exquisite opportunities in advanced healthcare programs, and modern clinical diagnostics. The intrinsic merits of plasmonic metasensors stem from their capability to squeeze electromagnetic fields, simultaneously in frequency, time, and space. However, the detection of low-molecular weight biomolecules at low densities is a typical drawback of conventional metasensors that has recently been addressed using toroidal metasurface technology. This research reports fabrication of a miniaturized plasmonic immunosensor based on toroidal electrodynamics concept that can sustain robustly confined plasmonic modes with ultranarrow lineshapes in the terahertz (THz) frequencies. By exciting toroidal dipole mode using our quasi-infinite metasurface and a judiciously optimized protocol based on functionalized gold nanoparticles (NPs) conjugated with the specific monoclonal antibody of SARS-CoV-2 onto the metasurface, the resonance shifts for diverse concentrations of the spike protein is monitored. Possessing molecular weight around ~76 kDa allowed us to detect the presence of spike protein with significantly low LoD ~4.2 fmol. Copyright © 2020, The Authors. All rights reserved.

关键词： Monoclonal antibodies

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CEPC Technical Design Report - Accelerator (v2)

arXiv

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arXiv 2023年

作者： Abdallah, Waleed De Freitas, Tiago Carlos Adorno Afanaciev, Konstantin Ahmad, Shakeel Ahmed, Ijaz Ai, Xiaocong Aleem, Abid Altmannshofer, Wolfgang Alves, Fabio An, Weiming An, Rui Anderle, Daniele Paolo Antusch, Stefan Arai, Yasuo Arbuzov, Andrej Arhrib, Abdesslam Ashry, Mustafa Bai, Sha Bai, Yu Bai, Yang Bairathi, Vipul Balazs, Csaba Bambade, Philip Ban, Yong Bandyopadhyay, Triparno Bao, Shou-Shan Barber, Desmond P. Bat, Ayse Batozskaya, Varvara Behera, Subash Chandra Belyaev, Alexander Bertucci, Michele Bi, Xiao-Jun Bi, Yuanjie Bian, Tianjian Bianchi, Fabrizio Biekötter, Thomas Biglietti, Michela Bilanishvili, Shalva Binglin, Deng Bodrov, Denis Bogomyagkov, Anton Bondarenko, Serge Boogert, Stewart Boonekamp, Maarten Borri, Marcello Bosotti, Angelo Boudry, Vincent Boukidi, Mohammed Boyko, Igor Bozovic, Ivanka Bozzi, Giuseppe Brient, Jean-Claude Budzinskaya, Anastasiia Bukhari, Masroor Bytev, Vladimir Cacciapaglia, Giacomo Cai, Hua Cai, Wenyong Cai, Wujun Cai, Yijian Cai, Yizhou Cai, Yuchen Cai, Haiying Cai, Huacheng Calibbi, Lorenzo Cang, Junsong Cao, Guofu Cao, Jianshe Chance, Antoine Chang, Xuejun Chang, Yue Chang, Zhe Chang, Xinyuan Chao, Wei Chatrabhuti, Auttakit Che, Yimin Che, Yuzhi Chen, Bin Chen, Danping Chen, Fuqing Chen, Fusan Chen, Gang Chen, Guoming Chen, Hua-Xing Chen, Huirun Chen, Jinhui Chen, Ji-Yuan Chen, Kai Chen, Mali Chen, Mingjun Chen, Mingshui Chen, Ning Chen, Shanhong Chen, Shanzhen Chen, Shao-Long Chen, Shaomin Chen, Shiqiang Chen, Tianlu Chen, Wei Chen, Xiang Chen, Xiaoyu Chen, Xin Chen, Xun Chen, Xurong Chen, Ye Chen, Ying Chen, Yukai Chen, Zelin Chen, Zilin Chen, Boping Chen, Chunhui Cheng, Hok Chuen Cheng, Huajie Cheng, Shan Cheng, Tongguang Chi, Yunlong Chimenti, Pietro Chiu, Wen Han Cho, Guk Chu, Ming-Chung Chu, Xiaotong Chu, Ziliang Coloretti, Guglielmo Crivellin, Andreas Cui, Hanhua Cui, Xiaohao Cui, Zhaoyuan D'Anzi, Brunella Dai, Ling-Yun Dai, Xinchen Dai, Xuwen De Maria, Antonio De Filippis, Nicola De La Taille, Christophe De Mori, Francesca De Sio, Chiara Del Core, Elisa Deng, S Agh University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Anhui University Anhui Hefei China Applied Physics Department Federal Urdu University of Arts Science and Technology Islamabad Pakistan Banaras Hindu University Institute of Science Varanasi India Bandirma Onyedi Eylul University Bandirma Turkey Beihang University Beijing China Beijing Computational Science Research Center Beijing China Beijing Conveyi Ltd Beijing China Beijing Glass Research Institute Co. Ltd Beijing China Beijing Institute of Technology Beijing China Beijing Normal University Beijing China Brown University ProvidenceRI United States Budker Institute of Nuclear Physics Novosibirsk Russia Cadi Ayyad University Laboratory of Fundamental and Applied Physics Polydisciplinary Faculty Marrakech Morocco Cairo University Giza Egypt Center for Theory and Computation National Tsing Hua University Hsinchu Taiwan Central China Normal University Hubei Wuhan China Central South University Hunan Changsha China Centro de Fisica Teorica de Particulas Universidade Tecnica de Lisboa Lisboa Portugal Chengdu KaitengSifang Digital Radio & Tv Equipment Co. Ltd Sichuan Chengdu China China Academy of Engineering Physics Sichuan Mianyang China China Building Materials Academy Beijing China China Center of Advanced Science and Technology Beijing China China Institute of Atomic Energy Beijing China China Jiliang University Zhejiang Hangzhou China China Nuclear Instrument CO. Ltd Beijing China China University of Geosciences Beijing China China University of Geosciences Hubei Wuhan China China University of Mining and Technology Jiangsu Xuzhou China China West Normal University Sichuan Nanchong China Chongqing University Department of Physics Chongqing China Chulalongkorn University Bangkok Thailand City University of Hong Kong Department of Physics Hong Kong Cockcroft Institute Daresbury United Kingdom Cornell University IthacaNY

The Circular Electron Positron Collider (CEPC) is a large scientific projectinitiated and hosted by China, fostered through extensive collaboration withinternational partners. The complex comprises four accelerators: a 30 GeVLinac, a 1.1 GeV Damping Ring, a Booster capable of achieving energies up to180 GeV, and a Collider operating at varying energy modes (Z, W, H, and ttbar).The Linac and Damping Ring are situated on the surface, while the Booster andCollider are housed in a 100 km circumference underground tunnel, strategicallyaccommodating future expansion with provisions for a Super Proton ProtonCollider (SPPC). The CEPC primarily serves as a Higgs factory. In its baselinedesign with synchrotron radiation (SR) power of 30 MW per beam, it can achievea luminosity of 5e34 /cm^2/s^1, resulting in an integrated luminosity of 13 /abfor two interaction points over a decade, producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC\'s capability togenerate 4.3 million Higgs bosons, facilitating precise measurements of Higgscoupling at sub-percent levels, exceeding the precision expected from theHL-LHC by an order of magnitude. This Technical Design Report (TDR) follows thePreliminary Conceptual Design Report (Pre-CDR, 2015) and the Conceptual DesignReport (CDR, 2018), comprehensively detailing the machine\'s layout andperformance, physical design and analysis, technical systems design, R&D andprototyping efforts, and associated civil engineering aspects. Additionally, itincludes a cost estimate and a preliminary construction timeline, establishinga framework for forthcoming engineering design phase and site selectionprocedures. Construction is anticipated to begin around 2027-2028, pendinggovernment approval, with an estimated duration of 8 years. The commencement ofexperiments could potentially initiate in the mid-2030s. © 2023, CC BY-NC-SA.

关键词： Synchrotron radiation

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