122,907 research outputs found
Implementation of a medium-modified parton shower algorithm
No full textWe present a Monte Carlo implementation of medium-induced gluon radiation in the final-state branching process. Medium effects are introduced through an additive term in the splitting functions. We have implemented such modification within PYTHIA. We show the medium effects on the hump-backed plateau, and the transverse-momentum and angular distributions with respect to the parent parton. As expected, with increasing medium densities there is an increase (decrease) of partons with small (large) momentum fraction, and angular broadening is observed. The effects on the transverse-momentum distributions are more involved, with an enhancement of low- and intermediate-p T partons and a decrease at large p T, which is related to energy conservation, and to the lack of momentum exchange with the medium in our approach
Hard probes in heavy ion collisions at the LHC: Jet physics
No full textAccardi A, Arleo F, Armesto N, Baier R, d'Enterria DG. Hard probes in heavy ion collisions at the LHC: Jet physics. 2004
Non-linear QCD meets data: A Global analysis of lepton-proton scattering with running coupling BK evolution
No full text
Medium evolved fragmentation functions
No full textMedium-induced gluon radiation is usually identified as the dominant dynam-
ical mechanism underling the jet quenching phenomenon observed in heavy-ion collisions.
In its actual implementation, multiple medium-induced gluon emissions are assumed to be
independent, leading, in the eikonal approximation, to a Poisson distribution. Here, we
introduce a medium term in the splitting probabilities so that both medium and vacuum
contributions are included on the same footing in a DGLAP approach. The improvements
include energy-momentum conservation at each individual splitting, medium-modified vir-
tuality evolution and a coherent implementation of vacuum and medium splitting proba-
bilities. Noticeably, the usual formalism is recovered when the virtuality and the energy of
the parton are very large. This leads to a similar description of the suppression observed
in heavy-ion collisions with values of the transport coefficient of the same order as those
obtained using the quenching weight
Angular-ordered parton shower with medium-modified splitting functions
No full textModified Altarelli-Parisi splitting functions were recently proposed to model multi-parton radiation in a dense medium and describe jet quenching, one of the most striking features of heavy-ion collisions. We implement medium-modified splitting functions in the HERWIG parton shower algorithm, which satisfies the angular ordering prescription, and present a few parton-level results, such as transverse momentum, angle and energy-fraction distributions, which exhibit remarkable medium-induced effects. We also comment on the comparison with respect to the results yielded by other implementations of medium-modified splitting functions in the framework of virtuality-ordered parton cascade
A Multi-Language Comparison of Influences on Author Verification using Character N-Grams
No full textWe create a new multi-language corpus for author verification based on Wikipedia talkpages, and evaluate the influence that differences in topic and time have on character n-gram author profiles. Topic alignment between two texts is found to increase author verification precision, and an authors writing style is found to change over time, but not more significantly after 3 years than after 1 year.Information ArchitectureWISElectrical Engineering, Mathematics and Computer Scienc
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
The vanishing author in computer-generated works: a critical analysis of recent Australian case law
No full textAbstract
The use of software is ubiquitous in the creation of many copyright works, yet the requirement in copyright law that every work have a human author who engages in independent intellectual effort means that its use may prevent copyright subsistence. Several recent Australian cases have refocused attention on authorship as an essential criterion of copyright subsistence, and these cases suggest that much computer-produced output may be authorless and thus lack copyright protection. This article, the first in a two-part series, analyses how each case deals with the question of authorship of computer-produced works and why the use of software diminishes copyright protection for a significant number of computer-generated works. The article critiques the application of conventional notions of human authorship developed in the pre-computer age to modern productions and suggests alternative approaches to authorship that satisfy both the major objectives of copyright policy and the need to adapt to the computer age. The article argues that, without a broader judicial approach to authorship of computer-generated works, Parliament must remedy the lacuna in protection for these ‘authorless’ works. Possible solutions for reform are suggested. In a forthcoming article, the author comprehensively examines those reform proposals
Determinación de patologías coronarias a partir del procesamiento digital de centellografías
No full textFil: Mildenberger, Agustina N. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Matemática. Laboratorio de Procesamiento de Señales; Argentina.Fil: Maldonado, Carolina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Matemática. Laboratorio de Procesamiento de Señales; Argentina.Fil: Maldonado, Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudio de Matemática; Argentina.Fil: Armesto, Juana.I. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Matemática. Laboratorio de Procesamiento de Señales; Argentina.Una cardiopatía coronaria es una enfermedad
cardiaca que provoca un suministro inadecuado de
sangre al músculo cardiaco. Dichas enfermedades
se encuentran vinculadas a la acumulación de
depósitos grasos y cerosos en el interior de las
arterias. Estos depósitos estrechan levemente las
paredes del vaso, provocando que el corazón reciba
menos sangre [1]. Es posible entender de esta forma
la importancia de la prevención de dichas
patologías, destacando con ello que según la OMS
las enfermedades cardiovasculares son la principal
causa de muerte en todo el mundo, correspondiendo
a 7,5 millones de personas por año. Mediante la
prevención primaria (intervenciones sanitarias) y
secundaria (fármacos), combinada con el cese del
consumo del tabaco, se podrían prevenir cerca del
75% de los episodios [2]. Durante el desarrollo del
trabajo nos centramos principalmente en cuatro
situaciones: Normal, isquemia, infarto y la
combinación de las últimas dos. El primer caso se
produce cuando la perfusión no presenta ningún
inconveniente, en la isquemia existe un
estrechamiento arterial produciendo un
desequilibrio entre la vascularización sanguínea y
las necesidades de oxígeno del tejido; el infarto
implica la necrosis del tejido.http://www.sabi2015.gadib.com.ar/actas/actas.pdfFil: Mildenberger, Agustina N. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Matemática. Laboratorio de Procesamiento de Señales; Argentina.Fil: Maldonado, Carolina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Matemática. Laboratorio de Procesamiento de Señales; Argentina.Fil: Maldonado, Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudio de Matemática; Argentina.Fil: Armesto, Juana.I. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Matemática. Laboratorio de Procesamiento de Señales; Argentina.Otras Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Informació
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