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Institution

University of Los Andes

EducationBogotá, Colombia
About: University of Los Andes is a education organization based out in Bogotá, Colombia. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 17616 authors who have published 25555 publications receiving 413463 citations.


Papers
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Journal ArticleDOI
TL;DR: The first measurement of the cross section for top-quark pair production in pp collisions at the LHC at center-of-mass energy sqrt(s)= 7 TeV has been performed using 3.1 {\pm} 0.3 inverse pb of data recorded by the CMS detector as discussed by the authors.

142 citations

Journal ArticleDOI
TL;DR: The anisotropy parameter (v2) of the particles is extracted by correlating charged tracks with respect to the event-plane reconstructed by using the energy deposited in forward-angle calorimeters, with the decline persisting up to at least pp(T)=40 GeV/c over the full centrality range measured.
Abstract: The azimuthal anisotropy of charged particles in PbPb collisions at nucleon-nucleon center-of-mass energy of 2.76 TeV is measured with the CMS detector at the LHC over an extended transverse momentum (pt) range up to approximately 60 GeV. The data cover both the low-pt region associated with hydrodynamic flow phenomena and the high-pt region where the anisotropies may reflect the path-length dependence of parton energy loss in the created medium. The anisotropy parameter (v2) of the particles is extracted by correlating charged tracks with respect to the event-plane reconstructed by using the energy deposited in forward-angle calorimeters. For the six bins of collision centrality studied, spanning the range of 0-60% most-central events, the observed v2 values are found to first increase with pt, reaching a maximum around pt = 3 GeV, and then to gradually decrease to almost zero, with the decline persisting up to at least pt = 40 GeV over the full centrality range measured.

142 citations

Journal ArticleDOI
TL;DR: A triatomine fauna classification is presented that corresponds to the eco-epidemiological conditions of the country, considering altitude as the factor determining the geographical distribution of these vectors.
Abstract: Information concerning triatomine records from provinces and municipalities was accumulated-including data indicating natural infections with trypanosomatides-that has been previously published or reported by Colombian provincial health services and research institutes. Altitude appeared to be the main factor responsible for the distribution of the insects. Illustrations summarize the information provided by the above records. A triatomine fauna classification is presented that corresponds to the eco-epidemiological conditions of the country, considering altitude as the factor determining the geographical distribution of these vectors. Rhodnius prolixus, Triatoma dimidiata, Triatoma maculata and Triatoma venosa are considered the major transmission risk species in Colombia, according to the frequency in which they are reported inside dwellings and peridomiciliary areas. Entomological surveillance providess a necessary tool to reinforce the control strategies for Chagas disease. This also allows the evaluation of transmission risk that the sylvatic triatomines represent in Colombia.

141 citations

Journal ArticleDOI
TL;DR: This work addresses the main challenges for large-scale distributed systems, such as the amount of information needed to guarantee the proper operation of the system, the economic costs associated with the required communication structure, and the high computational burden of solving for the control inputs for largescale systems.
Abstract: Recently, there has been an increasing interest in the control community in studying large-scale distributed systems. Several techniques have been developed to address the main challenges for these systems, such as the amount of information needed to guarantee the proper operation of the system, the economic costs associated with the required communication structure, and the high computational burden of solving for the control inputs for largescale systems.

141 citations

Journal ArticleDOI
TL;DR: This paper introduces a new approach to statistical moment characterization which is well defined over all processes with algebraic or lighter tails, and derives a ZOS framework for location estimation that gives rise to a novel mode-type estimator with important optimality properties under very impulsive noise.
Abstract: Impulsive or heavy-tailed processes with infinite variance appear naturally in a variety of practical problems that include wireless communications, teletraffic, hydrology, geology, and economics. Most signal processing and statistical methods available in the literature have been designed under the assumption that the processes possess finite variance, and they usually break down in the presence of infinite variance. Although methods based on fractional lower-order statistics (FLOS) have proven successful in dealing with infinite variance processes, they fail in general when the noise distribution has very heavy algebraic tails. In this paper, we introduce a new approach to statistical moment characterization which is well defined over all processes with algebraic or lighter tails. Unlike FLOS, these zero-order statistics (ZOS), as we will call them, provide a common ground for the analysis of basically any distribution of practical use known today. Three new parameters, namely the geometric power, the zero-order location and the zero-order dispersion, constitute the foundation of ZOS. They play roles similar to those played by the power, the expected value and the standard deviation, in the theory of second-order processes. We analyze the properties of the new parameters, and derive a ZOS framework for location estimation that gives rise to a novel mode-type estimator with important optimality properties under very impulsive noise. Several simulations are presented to illustrate the potential of ZOS methods

141 citations


Authors

Showing all 17748 results

NameH-indexPapersCitations
Alexander Belyaev1421895100796
Sarah Catherine Eno1411645105935
Mitchell Wayne1391810108776
Kaushik De1391625102058
Pierluigi Paolucci1381965105050
Randy Ruchti1371832107846
Gabor Istvan Veres135134996104
Raymond Brock135146897859
Harrison Prosper1341587100607
J. Ellison133139292416
Gyorgy Vesztergombi133144494821
Andrew Brandt132124694676
Scott Snyder131131793376
Shuai Liu129109580823
C. A. Carrillo Montoya128103378628
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202334
2022205
20211,504
20201,645
20191,563
20181,599