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124por Xu, Weijun“…It corresponds to a special case of the general situation considered in Hairer and Xu (large-scale limit of interface fluctuation models. ArXiv e-prints arXiv:1802.08192, 2018), but with improved estimates. …”
Publicado 2018
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125“…We show that the LHC formulation of the $ \mathcal{N} $ = 4 super-Yang-Mills theory is remarkably similar to the harmonic superspace formulation of the $ \mathcal{N} $ = 2 gauge and hypermultiplet matter theories. In the twin paper arXiv:1601.06804 we apply the LHC formalism to the study of the non-chiral multipoint correlation functions of the $ \mathcal{N} $ = 4 stress-tensor supermultiplet.…”
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126por Letizia, Marco, Losapio, Gianvito, Rando, Marco, Grosso, Gaia, Wulzer, Andrea, Pierini, Maurizio, Zanetti, Marco, Rosasco, Lorenzo“…Based on the original proposal by D’Agnolo and Wulzer (Phys Rev D 99(1):015014, 2019, arXiv:1806.02350 [hep-ph]), the model evaluates the compatibility between experimental data and a reference model, by implementing a hypothesis testing procedure based on the likelihood ratio. …”
Publicado 2022
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129“…We extend the results of arXiv:1401.1645 on the generalized conformal Sp(2n)-structure of infinite multiplets of higher spin fields, formulated in spaces with extra tensorial directions (hyperspaces), to the description of OSp(1|2n)-invariant infinite-dimensional higher-spin supermultiplets formulated in terms of scalar superfields on flat hyper-superspaces and on OSp(1|n) supergroup manifolds. …”
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130“…We compute the latter explicitly and elucidate the origin of the interesting relations among different types of flow correlations previously observed in arXiv:1309.1424.…”
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133“…Comparing this limit with the most recent results on Lyman-alpha forest analysis of Viel et al. (2007) [arXiv:0709.0131] (m_s > 5.6 kev), we argue that the scenario in which all the DM is produced via DW mechanism is ruled out. …”
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139por Mäntysaari, Heikki“…D100 (2019) no.11, 114029, arXiv:1910.13116…”
Publicado 2021
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140“…This technical report revisits the analysis of family‐wise error rates in statistical parametric mapping—using random field theory—reported in (Eklund et al. [2015]: arXiv 1511.01863). Contrary to the understandable spin that these sorts of analyses attract, a review of their results suggests that they endorse the use of parametric assumptions—and random field theory—in the analysis of functional neuroimaging data. …”
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