Author
J. S. Lange
Other affiliations: National Technical University of Athens, University of Trento, Beijing Institute of Petrochemical Technology ...read more
Bio: J. S. Lange is an academic researcher from University of Hamburg. The author has contributed to research in topics: Large Hadron Collider & Physics. The author has an hindex of 160, co-authored 2083 publications receiving 145919 citations. Previous affiliations of J. S. Lange include National Technical University of Athens & University of Trento.
Topics: Large Hadron Collider, Physics, Lepton, Branching fraction, Higgs boson
Papers published on a yearly basis
Papers
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Gyeongsang National University1, University of Tokyo2, Budker Institute of Nuclear Physics3, École Polytechnique Fédérale de Lausanne4, Tata Institute of Fundamental Research5, University of Sydney6, Polish Academy of Sciences7, University of Maribor8, National Taiwan University9, National Central University10, Hanyang University11, Sungkyunkwan University12, University of Melbourne13, Virginia Tech14, University of Ljubljana15, Osaka University16, Nagoya University17, Nara Women's University18, Tohoku Gakuin University19, Kyungpook National University20, Saga University21, Tokyo Institute of Technology22, Yonsei University23, Chiba University24, Niigata University25, Seoul National University26, Graduate University for Advanced Studies27, University of Cincinnati28, Panjab University, Chandigarh29, University of Giessen30, Austrian Academy of Sciences31, Osaka City University32, Tokyo University of Agriculture and Technology33, Toho University34, Kanagawa University35, University of Nova Gorica36, Tokyo Metropolitan University37, National United University38, Korea University39, University of Science and Technology of China40
TL;DR: In this paper, the authors presented a method to detect the presence of a tumor in the human brain using the Web of Science Record created on 2010-11-05, modified on 2017-12-10.
Abstract: Reference EPFL-ARTICLE-154575doi:10.1103/PhysRevLett.100.142001View record in Web of Science Record created on 2010-11-05, modified on 2017-12-10
427 citations
TL;DR: In this paper, measurements of two-and four-particle angular correlations for charged particles emitted in pPb collisions are presented over a wide range in pseudorapidity and full azimuth.
423 citations
Journal Article•
420 citations
Journal Article•
TL;DR: In this article, an upgrade of the Belle detector at the KEKB electron-positron collider has been proposed, with an ultimate goal of 8E35 /cm^2 /s luminosity.
Abstract: The Belle detector at the KEKB electron-positron collider has collected almost 1 billion Y(4S) events in its decade of operation. Super-KEKB, an upgrade of KEKB is under construction, to increase the luminosity by two orders of magnitude during a three-year shutdown, with an ultimate goal of 8E35 /cm^2 /s luminosity. To exploit the increased luminosity, an upgrade of the Belle detector has been proposed. A new international collaboration Belle-II, is being formed. The Technical Design Report presents physics motivation, basic methods of the accelerator upgrade, as well as key improvements of the detector.
419 citations
Proceedings Article•
30 Jul 2014
409 citations
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TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.
Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …
33,785 citations
28 Jul 2005
TL;DR: PfPMP1）与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。
18,940 citations
University of Jyväskylä1, California Polytechnic State University2, University of California, Los Angeles3, Los Alamos National Laboratory4, National Research University – Higher School of Economics5, University of California, Berkeley6, University of Birmingham7, Australian Nuclear Science and Technology Organisation8, University of Washington9, University of Massachusetts Amherst10, University of West Bohemia11, University of Texas at Austin12, Brigham Young University13, Universidade Federal de Minas Gerais14, Google15
TL;DR: SciPy as discussed by the authors is an open source scientific computing library for the Python programming language, which includes functionality spanning clustering, Fourier transforms, integration, interpolation, file I/O, linear algebra, image processing, orthogonal distance regression, minimization algorithms, signal processing, sparse matrix handling, computational geometry, and statistics.
Abstract: SciPy is an open source scientific computing library for the Python programming language. SciPy 1.0 was released in late 2017, about 16 years after the original version 0.1 release. SciPy has become a de facto standard for leveraging scientific algorithms in the Python programming language, with more than 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories, and millions of downloads per year. This includes usage of SciPy in almost half of all machine learning projects on GitHub, and usage by high profile projects including LIGO gravitational wave analysis and creation of the first-ever image of a black hole (M87). The library includes functionality spanning clustering, Fourier transforms, integration, interpolation, file I/O, linear algebra, image processing, orthogonal distance regression, minimization algorithms, signal processing, sparse matrix handling, computational geometry, and statistics. In this work, we provide an overview of the capabilities and development practices of the SciPy library and highlight some recent technical developments.
12,774 citations
[...]
TL;DR: In this paper, a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) is presented.
Abstract: Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the rock record have been identified mostly as linearly-consistent carbonate apron deposits, even though most ancient clastic carbonate slope deposits fit the submarine fan systems better. Calciclastic submarine fans are consequently rarely described and are poorly understood. Subsequently, very little is known especially in mud-dominated calciclastic submarine fan systems. Presented in this study are a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are recognised from core and thin section characterisation and are grouped into three carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of highto low-density, wavy-laminated bioclast-rich facies; 2) low-density densite mudstones which are characterised by planar laminated and unlaminated muddominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debrisflow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These
9,929 citations