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J. S. Lange

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.


Papers
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Journal ArticleDOI
S. Chatrchyan, Vardan Khachatryan, Albert M. Sirunyan, A. Tumasyan  +2250 moreInstitutions (138)
01 May 2012
TL;DR: In this article, a search for large, extra spatial dimensions in events with either two isolated muons or two isolated electrons was conducted, and the results showed that the limits at 95% confidence level are in the range 25 TeV < Ms < 38 TeV, where Ms characterizes the scale for the onset of quantum gravity.
Abstract: Results are presented from a search for large, extra spatial dimensions in events with either two isolated muons or two isolated electrons The data are from proton-proton interactions at sqrt(s) = 7 TeV collected with the CMS detector at the LHC The size of the data sample corresponds to an integrated luminosity of approximately 2 inverse femtobarns The observed dimuon and dielectron mass spectra are found to be consistent with standard-model expectations Depending on the number of extra dimensions, the limits at 95% confidence level are in the range 25 TeV < Ms < 38 TeV, where Ms characterizes the scale for the onset of quantum gravity

34 citations

Journal ArticleDOI
Morad Aaboud, Georges Aad1, Brad Abbott2, Ovsat Abdinov3  +2934 moreInstitutions (212)
TL;DR: In this paper, a search for direct pair production of top squarks in final states with two tau leptons, b-jets, and missing transverse momentum is presented.
Abstract: A search for direct pair production of top squarks in final states with two tau leptons, b-jets, and missing transverse momentum is presented. The analysis is based on proton-proton collision data ...

34 citations

Journal ArticleDOI
M. Ablikim, M. N. Achasov1, M. N. Achasov2, S. Ahmed  +424 moreInstitutions (20)
TL;DR: In this article, the authors studied the singly Cabibbo suppressed decays Lambda(+)(c) -> p eta and Lambda((c) → p pi(0)) over bar (-c) pairs produced by e(+)e(-) collisions at a center-of-mass energy of root s = 4.6 GeV.
Abstract: We study the singly Cabibbo suppressed decays Lambda(+)(c) -> p eta and Lambda(+)(c) -> p pi(0) using Lambda(+)(c)(Lambda) over bar (-)(c) pairs produced by e(+)e(-) collisions at a center-of-mass energy of root s = 4.6 GeV. The data sample was collected by the BESIII detector at the BEPCII collider and corresponds to an integrated luminosity of 567 pb(-1). We find the first evidence for the decay Lambda(+)(c) -> p eta with a statistical significance of 4.2 sigma and measure its branching fraction to be B(Lambda(+)(c) -> p eta) = (1.24 +/- 0.28(stat) +/- 0.10(sys)) x 10(-3). No significant Lambda(+)(c) -> p pi(0) signal is observed. We set an upper limit on its branching fraction B(Lambda(+)(c) -> p pi(0)) < 2.7 x 10(-4) at the 90% confidence level.

33 citations

Journal ArticleDOI
G. Agakishiev1, A. Balanda2, D. Belver, Alexander Belyaev1, A. Blanco, M. Böhmer3, J. L. Boyard4, Peter Braun-Munzinger, P. Cabanelas, E. Castro, S. P. Chernenko1, T. Christ3, M. Destefanis5, J. S. Díaz6, F. Dohrmann7, A. Dybczak2, Laura Fabbietti, O. V. Fateev1, Paolo Finocchiaro8, P. Fonte, J. Friese3, I. Fröhlich9, Tetyana Galatyuk10, J. A. Garzón, Roman Gernhäuser3, A. Gil6, C. Gilardi5, Kathrin Göbel9, M. B. Golubeva11, D. González-Díaz, Fedor Guber11, M. Gumberidze10, T. Hennino4, R. Holzmann, A.P. Ierusalimov1, I. Iori8, A. Ivashkin11, M. Jurkovic3, B. Kämpfer7, Tatiana Karavicheva11, D. Kirschner5, I. Koenig, W. Koenig, B. W. Kolb, R. Kotte7, Filip Krizek12, R. Krücken3, Wolfgang Kuhn5, A. Kugler12, A. B. Kurepin11, A. K. Kurilkin1, P. K. Kurilkin1, V. P. Ladygin1, S. Lang, J. S. Lange5, Kirill Lapidus, T. Liu4, L. Lopes, M. Lorenz9, L. Maier3, A. Mangiarotti, J. Markert9, Volker Metag5, B. Michalska2, J. Michel9, E. Morinière4, Jehad Mousa13, C. Müntz9, L. Naumann7, J. Otwinowski2, Y. C. Pachmayer9, Marek Palka2, Y. Parpottas13, V. Pechenov, O. Pechenova9, J. Pietraszko9, Witold Przygoda2, B. Ramstein4, Andrey Reshetin11, A. Rustamov9, A. Sadovsky11, Piotr Salabura2, A. Schmah3, E. Schwab, Yu. G. Sobolev12, S. Spataro5, B. Spruck5, H. Ströbele9, Joachim Stroth9, C. Sturm, A. Tarantola9, K. Teilab9, P. Tlusty12, M. Traxler, R. Trebacz2, H. Tsertos13, V. Wagner12, T. A. Vasiliev1, Michael Weber3, M. Wisniowski2, T. Wojcik2, J. Wüstenfeld7, S. Yurevich, Yu.V. Zanevsky1, P. Zhou 
TL;DR: In this article, the authors compared the invariant mass and angular distributions for the np→npπ+π- reaction with different models and confirmed the dominance of the t-channel with δδ contribution.

33 citations

Journal ArticleDOI
TL;DR: In this article, the authors compared the performance of single Low Gain Avalanche Detectors (LGAD) sensors with a surface area of 1.3x1.3 mm2 and arrays with 2x2 pads with a surfaces area of 3x3 mm^2 each and different implant doses of the p+ multiplication layer.
Abstract: For the high luminosity upgrade of the LHC at CERN, ATLAS is considering the addition of a High Granularity Timing Detector (HGTD) in front of the end cap and forward calorimeters at |z| = 3.5 m and covering the region 2.4 < |{\eta}| < 4 to help reducing the effect of pile-up. The chosen sensors are arrays of 50 {\mu}m thin Low Gain Avalanche Detectors (LGAD). This paper presents results on single LGAD sensors with a surface area of 1.3x1.3 mm2 and arrays with 2x2 pads with a surface area of 2x2 mm^2 or 3x3 mm^2 each and different implant doses of the p+ multiplication layer. They are obtained from data collected during a beam test campaign in Autumn 2016 with a pion beam of 120 GeV energy at the CERN SPS. In addition to several quantities measured inclusively for each pad, the gain, efficiency and time resolution have been estimated as a function of the position of the incident particle inside the pad by using a beam telescope with a position resolution of few {\mu}m. Different methods to measure the time resolution are compared, yielding consistent results. The sensors with a surface area of 1.3x1.3 mm^2 have a time resolution of about 40 ps for a gain of 20 and of about 27 ps for a gain of 50 and fulfill the HGTD requirements. Larger sensors have, as expected, a degraded time resolution. All sensors show very good efficiency and time resolution uniformity.

33 citations


Cited by
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Journal ArticleDOI

[...]

08 Dec 2001-BMJ
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

Journal ArticleDOI
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

Journal ArticleDOI
01 Apr 1988-Nature
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