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Institution

Warsaw University of Technology

EducationWarsaw, Poland
About: Warsaw University of Technology is a education organization based out in Warsaw, Poland. It is known for research contribution in the topics: Microstructure & Optical fiber. The organization has 14293 authors who have published 34362 publications receiving 492211 citations. The organization is also known as: Warsaw Polytechnic & Politechnika Warszawska.


Papers
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Journal ArticleDOI
B. I. Abelev1, Madan M. Aggarwal2, Zubayer Ahammed3, B. D. Anderson4  +370 moreInstitutions (46)
TL;DR: In this paper, the transverse momentum spectra of pi(+/-), p, and (p) over bar p up to 12 GeV/c at midrapidity in centrality selected Au + Au collisions at root s(NN) = 200 GeV are presented.
Abstract: Transverse momentum spectra of pi(+/-), p, and (p) over bar p up to 12 GeV/c at midrapidity in centrality selected Au + Au collisions at root s(NN) = 200 GeV are presented. In central Au + Au collisions, both pi(+/-) and p((p) over bar) show significant suppression with respect to binary scaling at p(T) greater than or similar to 4 GeV/c. Protons and antiprotons are less suppressed than pi(+/-), in the range 1.5 less than or similar to p(T) less than or similar to 6 GeV/c. The pi(-)/pi(+) and (p) over bar /p ratios show at most a weak pT dependence and no significant centrality dependence. The p/pi ratios in central Au + Au collisions approach the values in p + p and d + Au collisions at p(T) greater than or similar to 5 GeV/c. The results at high p(T) indicate that the partonic sources of pi(+/-), p, and (p) over bar have similar energy loss when traversing the nuclear medium

258 citations

Journal ArticleDOI
TL;DR: In this paper, the modification of solid electrolytes of PEONaI type was performed by adding NASICON powder to them and polymer like thin and flexible foils were prepared and their conductivity was significantly improved in comparison to pristine PEO-Nal samples.

256 citations

Journal ArticleDOI
TL;DR: Relations between two methods frequently used for modeling the choice among uncertain outcomes: stochastic dominance and mean–risk approaches are analyzed.
Abstract: We analyze relations between two methods frequently used for modeling the choice among uncertain outcomes: stochastic dominance and mean-risk approaches. New necessary conditions for stochastic dominance are developed. These conditions compare values of a certain functional, which contains two components: the expected value of a random outcome and a risk term represented by the central semideviation of the corresponding degree. If the weight of the semideviation in the composite objective does not exceed the weight of the expected value, maximization of such a functional yields solutions which are efficient in terms of stochastic dominance. The results are illustrated graphically.

255 citations

Journal ArticleDOI
Betty Abelev1, Jaroslav Adam2, Dagmar Adamová3, Andrew Marshall Adare4  +999 moreInstitutions (81)
02 Jan 2013
TL;DR: Measurements of charge-dependent azimuthal correlations with the ALICE detector at the LHC show a clear signal compatible with a charge- dependent separation relative to the reaction plane, which shows little or no collision energy dependence when compared to measurements at RHIC energies.
Abstract: Measurements of charge-dependent azimuthal correlations with the ALICE detector at the LHC are reported for Pb-Pb collisions at root s(NN) = 2.76 TeV. Two- and three-particle charge-dependent azimuthal correlations in the pseudorapidity range vertical bar eta vertical bar < 0.8 are presented as a function of the collision centrality, particle separation in pseudorapidity, and transverse momentum. A clear signal compatible with a charge-dependent separation relative to the reaction plane is observed, which shows little or no collision energy dependence when compared to measurements at RHIC energies. This provides a new insight for understanding the nature of the charge-dependent azimuthal correlations observed at RHIC and LHC energies. DOI: 10.1103/PhysRevLett.110.012301

255 citations

Journal ArticleDOI
Betty Abelev1, Jaroslav Adam2, Dagmar Adamová3, Madan M. Aggarwal4  +1065 moreInstitutions (103)
TL;DR: In this paper, the authors proposed an ultra-light, high-resolution Inner Tracking System (ITS) based on monolithic CMOS pixel detectors for detection of heavy-flavour hadrons, and of thermal photons and low-mass di- electrons emitted by the Quark-Gluon Plasma (QGP) at the CERN LHC (Large Hadron Collider).
Abstract: ALICE (A Large Ion Collider Experiment) is studying the physics of strongly interacting matter, and in particular the properties of the Quark–Gluon Plasma (QGP), using proton–proton, proton–nucleus and nucleus–nucleus collisions at the CERN LHC (Large Hadron Collider). The ALICE Collaboration is preparing a major upgrade of the experimental apparatus, planned for installation in the second long LHC shutdown in the years 2018–2019. A key element of the ALICE upgrade is the construction of a new, ultra-light, high- resolution Inner Tracking System (ITS) based on monolithic CMOS pixel detectors. The primary focus of the ITS upgrade is on improving the performance for detection of heavy-flavour hadrons, and of thermal photons and low-mass di- electrons emitted by the QGP. With respect to the current detector, the new Inner Tracking System will significantly enhance the determination of the distance of closest approach to the primary vertex, the tracking efficiency at low transverse momenta, and the read-out rate capabilities. This will be obtained by seven concentric detector layers based on a 50 μm thick CMOS pixel sensor with a pixel pitch of about 30×30 μm2. This document, submitted to the LHCC (LHC experiments Committee) in September 2013, presents the design goals, a summary of the R&D activities, with focus on the technical implementation of the main detector components, and the projected detector and physics performance.

252 citations


Authors

Showing all 14420 results

NameH-indexPapersCitations
Stefano Colafranceschi129110379174
Dezso Horvath128128388111
Valentina Dutta125117976231
Viktor Matveev123121273939
Anna Zanetti120148871375
Harold A. Scheraga120115266461
J. Pluta12065952025
Adam Ryszard Kisiel11869150546
Terence G. Langdon117115861603
Andrei Starodumov11469757900
T. Pawlak11137942455
John D. Pickard10762842479
W. Peryt10737640524
William G. Stevenson10158557798
Anil Kumar99212464825
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202380
2022207
20211,596
20201,804
20191,969
20182,072