1,362 research outputs found
Top production at the LHC: the impact of PDF uncertainties and correlations
In this contribution we discuss the impact of PDF uncertainties on t\bar{t}
and t-channel single-top production at the LHC. We present predictions for
total cross-sections computed at NLO accuracy with different PDF sets. For
single- top production, we point out that the uncertainty arising from the
choice of the bottom quark mass is one of the dominant theoretical
uncertainties on the total cross-section. Finally, the possibility of using PDF
induced correlations between top quark and electroweak vector boson production
cross-sections to improve the accuracy of LHC measurements is investigated.Comment: 8 pages, 5 figures. To appear in the Proceedings of the International
Workshop on Top Quark Physics (top2010), Bruges, Belgium, May 31 - June 4,
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An extensive survey of the estimation of uncertainties from missing higher orders in perturbative calculations
We consider two approaches to estimate and characterise the theoretical
uncertainties stemming from the missing higher orders in perturbative
calculations in Quantum Chromodynamics: the traditional one based on
renormalisation and factorisation scale variation, and the Bayesian framework
proposed by Cacciari and Houdeau. We estimate uncertainties with these two
methods for a comprehensive set of more than thirty different observables
computed in perturbative Quantum Chromodynamics, and we discuss their
performance in properly estimating the size of the higher order terms that are
known. We find that scale variation with the conventional choice of varying
scales within a factor of two of a central scale gives uncertainty intervals
that tend to be somewhat too small to be interpretable as 68%
confidence-level-heuristic ones. We propose a modified version of the Bayesian
approach of Cacciari and Houdeau which performs well for non-hadronic
observables and, after an appropriate choice of the relevant expansion
parameter for the perturbative series, for hadronic ones too.Comment: 34 pages, 24 figure
Compte rendu de "Les os, les cendres et l'Etat" par ESQUERRE, Arnaud, Paris, Fayard, 2011
L'ouvrage d’Arnaud Esquerre participe de ce que l’on peut considérer comme une tentative française de refondation de ce qui a été traditionnellement appelé « sociologie de la mort ». L’auteur prend soin de préciser le caractère trouble d’une notion comme la mort et préfère s’intéresser à un objet concret, matériellement situable par le chercheur et visé par le droit : les restes humains [Premières lignes]
Le retour permanent : communiquer l'enquête en situation d'ethnographie réflexive
Un séjour prolongé sur le terrain peut provoquer des demandes de retour de la part des enquêtés, en même temps que le chercheur y tisse des liens personnels forts. Pour y faire face, la réflexivité permet de comprendre la place du chercheur dans le groupe étudié et de définir le point de vue à travers lequel l’enquête est restituée. Plutôt que d’expertiser, il est possible de discuter des avancées et des orientations de la recherche directement avec les enquêtés, tout en respectant l’objectif de compréhension et les modalités d’accueil de l’ethnographe dans le groupe étudié. Au cours d’interactions routinières, l’enquêteur pré-positionne son analyse en faisant part de l’évolution de sa recherche notamment lorsque se modifie sa perception du terrain, et donc la place qu’il y occupe
Rank-based multi-scale entropy analysis of heart rate variability
The method of MultiScale Entropy (MSE) is an invaluable tool to quantify and compare the complexity of physiological time series at different time scales. Although MSE traditionally employs sample entropy to measure the unpredictability of each coarse-grained series, the same framework can be applied to other metrics. Here we investigate the use of a rank-based entropy measure within the MSE framework. Like in the traditional method, the series are studied in an embedding space of dimension m. The novel entropy assesses the unpredictability of the series quantifying the "amount of shuffling" that the ranks of the mutual distances between pairs of m-long vectors undergo when considering the next observation. The algorithm was tested on recordings from the Fantasia database in a time-varying fashion using non-overlapping 300-samples windows. The method was able to find statistically significant differences between young and healthy elderly subjects at 7 scales/time-windows after accounting for multiple comparisons using the Holm-Bonferroni correction. These promising results suggest the possibility of using this measure to perform a time-varying assessment of complexity with increased accuracy and temporal resolution
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