1,721,370 research outputs found
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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Constituent-based approaches to quark–gluon jet tagging for the High-Luminosity LHC
No full textet constituents provide a finer description of the radiation pattern inside a jet than global observables. In Run-2 (2015–2018) ATLAS simulations, transformer-based taggers trained on low-level inputs significantly outperformed traditional approaches using high-level variables with conventional neural networks for quark–gluon discrimination. As the High-Luminosity LHC era approaches, with increased luminosity and center-of-mass energy, the ATLAS detector will undergo through upgrades, including an extended inner tracker that enhances coverage in the forward region, previously inaccessible with tracks. This study evaluates how these improvements enhance the accuracy and robustness of jet taggers, which is essential for key analyses such as vector boson fusion, vector boson scattering, and supersymmetry searches, where precise jet identification is critical for suppressing backgrounds
Quark-Gluon Constituent-Based Jet Taggers for the HL-LHC
No full textJet constituents provide a more detailed description of the radiation pattern within a jet compared to observables summarizing global jet properties. In Run 2 analyses at the LHC using the ATLAS detector, transformer-based taggers leveraging low-level variables outperformed traditional approaches based on high-level variables and conventional neural networks in distinguishing quark- and gluon-initiated jets. With the upcoming High-Luminosity LHC (HL-LHC) era, characterized by higher luminosity and increased center-of-mass energy, the ATLAS detector has undergone significant upgrades. This includes a new inner detector with extended coverage into the most forward region, previously unexplored with tracks. This study assesses how these advancements enhance jet tagger accuracy and robustness. These improvements are crucial for processes such as vector boson fusion, vector boson scattering, and supersymmetry, where precise jet identification enhances background discrimination
Constituent-based approaches to quark–gluon jet tagging for the High-Luminosity LHC
No full textInternational audienceJet constituents provide a finer description of the radiation pattern inside a jet than global observables. In Run-2 (2015–2018) ATLAS simulations, transformer-based taggers trained on low-level inputs significantly outperformed traditional approaches using high-level variables with conventional neural networks for quark–gluon discrimination. As the High-Luminosity LHC era approaches, with increased luminosity and center-of-mass energy, the ATLAS detector will undergo through upgrades, including an extended inner tracker that enhances coverage in the forward region, previously inaccessible with tracks. This study evaluates how these improvements enhance the accuracy and robustness of jet taggers, which is essential for key analyses such as vector boson fusion, vector boson scattering, and supersymmetry searches, where precise jet identification is critical for suppressing backgrounds
Constituent-based approaches to quark–gluon jet tagging for the High-Luminosity LHC
No full textInternational audienceJet constituents provide a finer description of the radiation pattern inside a jet than global observables. In Run-2 (2015–2018) ATLAS simulations, transformer-based taggers trained on low-level inputs significantly outperformed traditional approaches using high-level variables with conventional neural networks for quark–gluon discrimination. As the High-Luminosity LHC era approaches, with increased luminosity and center-of-mass energy, the ATLAS detector will undergo through upgrades, including an extended inner tracker that enhances coverage in the forward region, previously inaccessible with tracks. This study evaluates how these improvements enhance the accuracy and robustness of jet taggers, which is essential for key analyses such as vector boson fusion, vector boson scattering, and supersymmetry searches, where precise jet identification is critical for suppressing backgrounds
Exotic decays of the Higgs and Z boson
No full textPrecision studies of the properties of the Higgs and gauge bosons may provide a unique window for the discovery of new physics at the LHC. New phenomena can in particular be revealed in the search for lepton-flavor-violating or exotic decays of the Higgs and Z bosons, as well as in their possible couplings to hidden-sector states that do not interact under Standard Model gauge transformations. This talk presents recent searches by the ATLAS experiment for decays of the Higgs and Z bosons to new particles, using collision data at sqrt(s) = 13 TeV collected during the LHC Run 2
Quark-Gluon Constituent-Based Jet Taggers for the HL-LHC
No full textJet constituents provide a more detailed description of the radiation pattern within a jet compared to observables summarizing global jet properties. In Run 2 analyses at the LHC using the ATLAS detector, transformer-based taggers leveraging low-level variables outperformed traditional approaches based on high-level variables and conventional neural networks in distinguishing quark- and gluon-initiated jets. With the upcoming High-Luminosity LHC (HL-LHC) era, characterized by higher luminosity and increased center-of-mass energy, the ATLAS detector has undergone significant upgrades. This includes a new inner detector with extended coverage into the most forward region, previously unexplored with tracks. This study assesses how these advancements enhance jet tagger accuracy and robustness. These improvements are crucial for processes such as vector boson fusion, vector boson scattering, and supersymmetry, where precise jet identification enhances background discrimination
- …
