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Institution

University of Warsaw

EducationWarsaw, Poland
About: University of Warsaw is a education organization based out in Warsaw, Poland. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 20832 authors who have published 56617 publications receiving 1185084 citations. The organization is also known as: Uniwersytet Warszawski & Warsaw University.


Papers
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Journal ArticleDOI
A. Abada1, Marcello Abbrescia2, Marcello Abbrescia3, Shehu S. AbdusSalam4  +1491 moreInstitutions (239)
TL;DR: In this article, the authors present the second volume of the Future Circular Collider Conceptual Design Report, devoted to the electron-positron collider FCC-ee, and present the accelerator design, performance reach, a staged operation scenario, the underlying technologies, civil engineering, technical infrastructure, and an implementation plan.
Abstract: In response to the 2013 Update of the European Strategy for Particle Physics, the Future Circular Collider (FCC) study was launched, as an international collaboration hosted by CERN. This study covers a highest-luminosity high-energy lepton collider (FCC-ee) and an energy-frontier hadron collider (FCC-hh), which could, successively, be installed in the same 100 km tunnel. The scientific capabilities of the integrated FCC programme would serve the worldwide community throughout the 21st century. The FCC study also investigates an LHC energy upgrade, using FCC-hh technology. This document constitutes the second volume of the FCC Conceptual Design Report, devoted to the electron-positron collider FCC-ee. After summarizing the physics discovery opportunities, it presents the accelerator design, performance reach, a staged operation scenario, the underlying technologies, civil engineering, technical infrastructure, and an implementation plan. FCC-ee can be built with today’s technology. Most of the FCC-ee infrastructure could be reused for FCC-hh. Combining concepts from past and present lepton colliders and adding a few novel elements, the FCC-ee design promises outstandingly high luminosity. This will make the FCC-ee a unique precision instrument to study the heaviest known particles (Z, W and H bosons and the top quark), offering great direct and indirect sensitivity to new physics.

526 citations

Journal ArticleDOI
Judith Racusin1, S. V. Karpov2, Marcin Sokolowski, Jonathan Granot3, Xue-Feng Wu4, Xue-Feng Wu1, V. Pal'Shin, Stefano Covino5, A. J. van der Horst, S. R. Oates6, Patricia Schady6, Robert J. Smith7, J. Cummings8, R. L. C. Starling9, Lech Wiktor Piotrowski10, Bing Zhang11, P. A. Evans9, Stephen T. Holland8, Stephen T. Holland12, Katarzyna Małek, M. T. Page6, L. Vetere1, Raffaella Margutti13, C. Guidorzi7, C. Guidorzi5, Atish Kamble14, P. A. Curran14, A. P. Beardmore9, Chryssa Kouveliotou15, Lech Mankiewicz, A. Melandri7, P. T. O'Brien9, K. L. Page9, Tsvi Piran16, Nial R. Tanvir9, Grzegorz Wrochna, R. Aptekar, Scott Barthelmy8, Corrado Bartolini17, G. M. Beskin2, S. Bondar, Malcolm N. Bremer, Sergio Campana5, A. J. Castro-Tirado18, A. Cucchiara1, M. Cwiok10, P. D'Avanzo5, Valerio D'Elia, M. Della Valle19, A. de Ugarte Postigo19, W. Dominik10, A. D. Falcone1, Fabrizio Fiore, D. B. Fox1, D. D. Frederiks, Andrew S. Fruchter20, Dino Fugazza5, M. A. Garrett21, M. A. Garrett22, M. A. Garrett23, Neil Gehrels8, S. Golenetskii, Andreja Gomboc24, Javier Gorosabel18, G. Greco17, Adriano Guarnieri17, Stefan Immler8, Martin Jelínek18, Grzegorz Kasprowicz25, V. La Parola26, Andrew J. Levan27, V. Mangano26, E. P. Mazets, E. Molinari5, A. Moretti5, Krzysztof Nawrocki, P. Oleynik, J. P. Osborne9, C. Pagani1, S. B. Pandey28, Zsolt Paragi29, M. Perri, Adalberto Piccioni17, Enrico Ramirez-Ruiz30, P. W. A. Roming1, Iain A. Steele7, Richard G. Strom21, Richard G. Strom14, Vincenzo Testa, Gino Tosti31, M. Ulanov, Klaas Wiersema9, Ralph A. M. J. Wijers14, J. M. Winters, Aleksander Filip Zarnecki10, F. M. Zerbi5, Peter Mészáros1, Guido Chincarini13, Guido Chincarini5, David N. Burrows1 
11 Sep 2008-Nature
TL;DR: Observations of the extraordinarily bright prompt optical and γ-ray emission of GRB 080319B that provide diagnostics within seconds of its formation, followed by broadband observations of the afterglow decay that continued for weeks.
Abstract: Long-duration gamma-ray bursts (GRBs) release copious amounts of energy across the entire electromagnetic spectrum, and so provide a window into the process of black hole formation from the collapse of massive stars Previous early optical observations of even the most exceptional GRBs (990123 and 030329) lacked both the temporal resolution to probe the optical flash in detail and the accuracy needed to trace the transition from the prompt emission within the outflow to external shocks caused by interaction with the progenitor environment Here we report observations of the extraordinarily bright prompt optical and gamma-ray emission of GRB 080319B that provide diagnostics within seconds of its formation, followed by broadband observations of the afterglow decay that continued for weeks We show that the prompt emission stems from a single physical region, implying an extremely relativistic outflow that propagates within the narrow inner core of a two-component jet

524 citations

Journal ArticleDOI
TL;DR: In this article, surface-enhanced Raman scattering (SERS) spectra were recorded for p-mercaptobenzoic acid (PMBA) monolayers on Ag and Au surfaces.
Abstract: Surface-enhanced Raman scattering (SERS) spectra were recorded for p-mercaptobenzoic acid (PMBA) monolayers on Ag and Au surfaces. As evidenced by the relative intensities of the bands corresponding to the symmetric stretching COO− vibration and to the out-of-plane vibration of the phenyl ring, the molecules are at least tilted with respect to the surface and simultaneously bonded through the sulfur atom and COO− groups. This situation takes place when modification is carried out from aqueous solutions at natural or alkaline pH and at low concentrations of monomer. At higher concentration of the monomer (>10−3) and/or at acidic pH, carboxylic groups are protonated and PMBA molecules adopt a more vertical configuration. It was also found that rough Ag and Au surfaces that are applied in SERS experiments promote partial decarboxylation of PMBA. Copyright © 2002 John Wiley & Sons, Ltd.

524 citations

Journal ArticleDOI
TL;DR: The rates of formal abstraction of phenolic hydrogen atoms by free radicals, Y* + ArOH --> YH + ArO*, are profoundly influenced by the hydrogen-bond-accepting and anion-solvation abilities of solvents, by the electron affinities and reactivities of radicals, and by the phenol's ring substituents.
Abstract: The rates of formal abstraction of phenolic hydrogen atoms by free radicals, Y• + ArOH → YH + ArO•, are profoundly influenced by the hydrogen-bond-accepting and anion-solvation abilities of solvents, by the electron affinities and reactivities (Y−H bond dissociation enthalpies) of radicals, and by the phenol's ring substituents. These apparently simple reactions can occur by at least three different, nonexclusive mechanisms: hydrogen atom transfer, proton-coupled electron transfer, and sequential proton-loss electron transfer. The delicate balance among these mechanisms depends on both the environment and the reactants. The main features of these mechanisms are described, together with some interesting kinetic consequences.

524 citations

Proceedings ArticleDOI
01 Feb 2018
TL;DR: The hardware and software infrastructure that supports machine learning at global scale is described, leveraging both GPU and CPU platforms for training and abundant CPU capacity for real-time inference.
Abstract: Machine learning sits at the core of many essential products and services at Facebook. This paper describes the hardware and software infrastructure that supports machine learning at global scale. Facebook's machine learning workloads are extremely diverse: services require many different types of models in practice. This diversity has implications at all layers in the system stack. In addition, a sizable fraction of all data stored at Facebook flows through machine learning pipelines, presenting significant challenges in delivering data to high-performance distributed training flows. Computational requirements are also intense, leveraging both GPU and CPU platforms for training and abundant CPU capacity for real-time inference. Addressing these and other emerging challenges continues to require diverse efforts that span machine learning algorithms, software, and hardware design.

523 citations


Authors

Showing all 21191 results

NameH-indexPapersCitations
Alexander Malakhov139148699556
Emmanuelle Perez138155099016
Piotr Zalewski135138889976
Krzysztof Doroba133144089029
Hector F. DeLuca133130369395
Krzysztof M. Gorski132380105912
Igor Golutvin131128288559
Jan Krolikowski131128983994
Michal Szleper130123882036
Anatoli Zarubin129120486435
Malgorzata Kazana129117581106
Artur Kalinowski129116281906
Predrag Milenovic129118581144
Marcin Konecki128117879392
Karol Bunkowski128119279455
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023176
2022619
20212,880
20203,208
20193,130
20183,164