1,721,712 research outputs found
Diboson search and multivariate tools in the pp¯→ lν + heavy flavor channel at CDF
Full text linkThis paper describes the application of machine learning techniques to the diboson search in the lepton plus neutrino plus heavy flavor jets channel at CDF. Three different aspects of this challenging search are analyzed: multijet background rejection with the use of a support vector machine discriminant, light/heavy flavor jets separation with a 26 input variable neural network and b-jet
specific energy corrections, where a resolution improvement is obtained feeding a neural network with both calorimeter and tracking information
Muon Reconstruction and Performances with the ATLAS Detector
No full textThis poster, to be presented at the Beauty 2013 conference (8-12 April 2013, Bologna, IT) summarizes the functioning of the ATLAS sub-detectors used for the muon identification, the muon momentum reconstruction procedure, and the performances according to the latest measurements performed with the 2012 dataset
Support vector machine classification on a biased training set: Multi-jet background rejection at hadron colliders
No full textThis paper describes an innovative way to optimize a multivariate classifier, a Support Vector Machine algorithm, on a problem characterized by a biased training sample. This is possible thanks to the feedback of a signal-background template fit performed on a validation sample and included both in the optimization process and in the input variable selection. The procedure is applied to a real case of interest at hadron collider experiments: the reduction and the estimate of the multi-jet background in the W→eν plus jets data sample collected by the CDF experiment. The training samples, partially derived from data and partially from simulation, are described in detail together with the input variables exploited for the classification. At present, the reached performance is better than any other prescription applied to the same final state at hadron collider experiments. © 2013 Elsevier B.V
Searches for Low Mass Higgs Boson at the Tevatron
No full textWe present the result of the searches for a low mass Standard Model Higgs boson performed at the Tevatron pp¯ collider (√s = 1.96 TeV) by the CDF and D0 experiments with an integrated luminosity of up to 8.5 fb-1. Individual searches are discussed and classified according to their sensitivity. Primary channels rely on the associate production with a vector boson (WH or ZH) and the H → bb¯ decay channel (favored for MH ≲ 135 GeV/c2). Event selection is based on the leptonic decay of the vector boson and the identification of b–hadron enriched jets. Each individual channel is sensitive, for MH = 115 GeV/c2, to less than 5 times the SM expected cross section and the most sensitive channels can exclude a production cross section of 2.3×σHSM Secondary channels rely on a variety of final states. Although they are from 2 to 5 times less sensitive than any primary channel, they contribute to the Tevatron combination and, in some cases, they pose strong constrains on exotic Higgs boson models
Response to letter to the editor regarding ‘Could Surgical Experience of Adult Endourologist Overcome the Learning Curve of Retrograde Intrarenal Surgery in Children?’
No full textRejection of multi-jet background in pp̄ → eν + jj̄ channel through a SVM classifier
No full textWe test and optimize a multivariate discriminant software package, based on the Support Vector Machine (SVM) algorithm, to reduce the multi-jet background events in the channel pp̄ → eν + jj̄. We use the CDFII data-set, collected at the TeVatron pp̄ ollider, where this channel provides the signature for many important physics processes: e.g. associated Higgs production, WZ, single top events. The Multi-jet background can be large and difficult to reject but, in this paper, we show that an appropriatly trained SVM can handle it in an effective way. The developed programs perform training set selection, efficiency maximization and consistency checks; we also discuss the robustness of the discriminant. A classification accuracy ≥ 95% can be reached using Monte Carlo simulated signal and a data-driven background model (limited by statistic) with a background rejection of ∼90%
ABITARE TARANTO
No full textIl 'problema casa' è un tema tornato di attualità nel dibattito sociale e politico
italiano a causa dell'emergere di nuove e più diffuse forme di disagio determinate
dalla difficoltà di accedere alla residenza da parte di un crescente e variegato
numero di persone, spesso con caratteri diversi da quelli attribuibili all’Edilizia
Residenziale Pubblica tradizionale.
Si tratta di un concetto complesso e non facilmente delimitabile che comprende
situazioni con caratteristiche diverse tra loro in base ad intensità e tipo di disagio
sofferto e che la letteratura nazionale e internazionale sta indagando (Cognetti,
Padovani, 2018; Cucca, Gaeta, 2018; Gentili, Hoekstra, 2019; Grossmann,
Haase, 2016)
The 'housing problem' is a theme that has returned to the Italian social and political debate due to the
emergence of new and more widespread forms of discomfort caused by the difficulty of accessing housing
by a growing and varied number of people, often with different characteristics from those addressed by
traditional Public Housing. This is a complex and not easily delimited concept that includes situations with
different characteristics based on the intensity and type of hardship suffered
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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