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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
J. Abadie1, B. P. Abbott1, R. Abbott1, M. R. Abernathy2  +719 moreInstitutions (79)
TL;DR: In this paper, Kalogera et al. presented an up-to-date summary of the rates for all types of compact binary coalescence sources detectable by the initial and advanced versions of the ground-based gravitational-wave detectors LIGO and Virgo.
Abstract: We present an up-to-date, comprehensive summary of the rates for all types of compact binary coalescence sources detectable by the initial and advanced versions of the ground-based gravitational-wave detectors LIGO and Virgo. Astrophysical estimates for compact-binary coalescence rates depend on a number of assumptions and unknown model parameters and are still uncertain. The most confident among these estimates are the rate predictions for coalescing binary neutron stars which are based on extrapolations from observed binary pulsars in our galaxy. These yield a likely coalescence rate of 100 Myr−1 per Milky Way Equivalent Galaxy (MWEG), although the rate could plausibly range from 1 Myr−1 MWEG−1 to 1000 Myr−1 MWEG−1 (Kalogera et al 2004 Astrophys. J. 601 L179; Kalogera et al 2004 Astrophys. J. 614 L137 (erratum)). We convert coalescence rates into detection rates based on data from the LIGO S5 and Virgo VSR2 science runs and projected sensitivities for our advanced detectors. Using the detector sensitivities derived from these data, we find a likely detection rate of 0.02 per year for Initial LIGO–Virgo interferometers, with a plausible range between 2 × 10−4 and 0.2 per year. The likely binary neutron–star detection rate for the Advanced LIGO–Virgo network increases to 40 events per year, with a range between 0.4 and 400 per year.

1,011 citations

Journal ArticleDOI
Marcos Daniel Actis1, G. Agnetta2, Felix Aharonian3, A. G. Akhperjanian  +682 moreInstitutions (109)
TL;DR: The ground-based gamma-ray astronomy has had a major breakthrough with the impressive results obtained using systems of imaging atmospheric Cherenkov telescopes as mentioned in this paper, which is an international initiative to build the next generation instrument, with a factor of 5-10 improvement in sensitivity in the 100 GeV-10 TeV range and the extension to energies well below 100GeV and above 100 TeV.
Abstract: Ground-based gamma-ray astronomy has had a major breakthrough with the impressive results obtained using systems of imaging atmospheric Cherenkov telescopes. Ground-based gamma-ray astronomy has a huge potential in astrophysics, particle physics and cosmology. CTA is an international initiative to build the next generation instrument, with a factor of 5-10 improvement in sensitivity in the 100 GeV-10 TeV range and the extension to energies well below 100 GeV and above 100 TeV. CTA will consist of two arrays (one in the north, one in the south) for full sky coverage and will be operated as open observatory. The design of CTA is based on currently available technology. This document reports on the status and presents the major design concepts of CTA.

1,006 citations

Journal ArticleDOI
TL;DR: Simulation experiments have shown that the estimator proposed by the paper unequivocally reveals the direction of the signal flow and is able to distinguish between direct and indirect transfer of information.
Abstract: The paper describes the method of determining direction and frequency content of the brain activity flow. The method was formulated in the framework of the AR model. The transfer function matrix was found for multichannel EEG process. Elements of this matrix, properly normalized, appeared to be good estimators of the propagation direction and spectral properties of the investigated signals. Simulation experiments have shown that the estimator proposed by us unequivocally reveals the direction of the signal flow and is able to distinguish between direct and indirect transfer of information. The method was applied to the signals recorded in the brain structures of the experimental animals and also to the human normal and epileptic EEG. The sensitivity of the method and its usefulness in the neurological and clinical applications was demonstrated.

1,000 citations

Journal ArticleDOI
TL;DR: The distinction between affective and informational negativity effects in evaluations was discussed in this paper, where Positive-Negative Asymmetry in Evaluations: The Distinction Between Affective and Informational Negativity Effects.
Abstract: (1990). Positive-Negative Asymmetry in Evaluations: The Distinction Between Affective and Informational Negativity Effects. European Review of Social Psychology: Vol. 1, European Review of Social Psychology, pp. 33-60.

996 citations

Journal ArticleDOI
TL;DR: In this article, different properties possible to obtain in photonic crystal fibers are reviewed and fabrication and modeling methods are also discussed, and different properties of photonic bandgap effect are discussed.
Abstract: Photonic crystal fibers are a new class of optical fibers. Their artificial crystal-like microstructure results in a number of unusual properties. They can guide light not only through a well-known total internal reflection mechanism but using also photonic bandgap effect. In this paper different properties possible to obtain in photonic crystal fibers are reviewed. Fabrication and modeling methods are also discussed.

995 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
20212,882
20203,208
20193,130
20183,164