The Atacama Cosmology Telescope: ACT-CL J0102-4215 "El Gordo," a Massive Merging Cluster at Redshift 0.87

We present a detailed analysis from new multi-wavelength observations of the exceptional galaxy cluster ACT-CL J0102-4915, likely the most massive, hottest, most X-ray luminous and brightest Sunyaev-Zel'dovich (SZ) effect cluster known at redshifts greater than 0.6. The Atacama Cosmology Telescope (ACT) collaboration discovered ACT-CL J0102-4915 as the most significant Sunyaev-Zeldovich (SZ) decrement in a sky survey area of 755 square degrees. Our VLT/FORS2 spectra of 89 member galaxies yield a cluster redshift, z = 0.870, and velocity dispersion, sigma(gal) +/- 1321 106 km s-1. Our Chandra observations reveal a hot and X-ray luminous system with an integrated temperature of T(X) = 14:5 +/- 0:1 keV and 0.5 2.0 keV band luminosity of L(X) = (2:19 0:11) 1045 h(exp -2)70erg s-1. We obtain several statistically consistent cluster mass estimates; using empirical mass scaling relations with velocity dispersion, X-ray Y(X) , and integrated SZ distortion, we estimate a cluster mass of M(200) = (2:16 +/- 0:32) 10(exp 15) h(exp-1) 70M compared to the Sun. We constrain the stellar content of the cluster to be less than 1% of the total mass, using Spitzer IRAC and optical imaging. The Chandra and VLT/FORS2 optical data also reveal that ACT-CL J0102-4915 is undergoing a major merger between components with a mass ratio of approximately 2 to 1. The X-ray data show significant temperature variations from a low of 6:6 +/- 0:7 keV at the merging low-entropy, high-metallicity, cool core to a high of 22 +/- 6 keV. We also see a wake in the X-ray surface brightness and deprojected gas density caused by the passage of one cluster through the other from which we estimate a merger speed of around 1300 km s(exp -1) for an assumed merger timescale of 1 Gyr. ACTCL J0102-4915 is possibly a high-redshift analog of the famous Bullet Cluster. Such a massive cluster at this redshift is rare, although consistent with the standard CDM cosmology in the lower part of its allowed mass range. Massive, high-redshift mergers like ACT-CL J0102-4915 are unlikely to be reproduced in the current generation of numerical N-body cosmological simulations

Cosmic ray background removal with deep neural networks in SBND

In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons, and other cosmic particles are incident on the detectors while a single neutrino-induced event is being recorded. In practice, this means that data from surface liquid argon time projection chambers will be dominated by cosmic particles, both as a source of event triggers and as the majority of the particle count in true neutrino-triggered events. In this work, we demonstrate a novel application of deep learning techniques to remove these background particles by applying deep learning on full detector images from the SBND detector, the near detector in the Fermilab Short-Baseline Neutrino Program. We use this technique to identify, on a pixel-by-pixel level, whether recorded activity originated from cosmic particles or neutrino interactions

The dynamics of consensus in group decision making: investigating the pairwise interactions between fuzzy preferences

In this paper we present an overview of the soft consensus model in group decision making and we investigate the dynamical patterns generated by the fundamental pairwise preference interactions on which the model is based. The dynamical mechanism of the soft consensus model is driven by the minimization of a cost function combining a collective measure of dissensus with an individual mechanism of opinion changing aversion. The dissensus measure plays a key role in the model and induces a network of pairwise interactions between the individual preferences. The structure of fuzzy relations is present at both the individual and the collective levels of description of the soft consensus model: pairwise preference intensities between alternatives at the individual level, and pairwise interaction coefficients between decision makers at the collective level. The collective measure of dissensus is based on non linear scaling functions of the linguistic quantifier type and expresses the degree to which most of the decision makers disagree with respect to their preferences regarding the most relevant alternatives. The graded notion of consensus underlying the dissensus measure is central to the dynamical unfolding of the model. The original formulation of the soft consensus model in terms of standard numerical preferences has been recently extended in order to allow decision makers to express their preferences by means of triangular fuzzy numbers. An appropriate notion of distance between triangular fuzzy numbers has been chosen for the construction of the collective dissensus measure. In the extended formulation of the soft consensus model the extra degrees of freedom associated with the triangular fuzzy preferences, combined with non linear nature of the pairwise preference interactions, generate various interesting and suggestive dynamical patterns. In the present paper we investigate these dynamical patterns which are illustrated by means of a number of computer simulations

Momentum Maps and Classical Relativistic Fields Part I: Covariant Field Theory

this paper.) In Part I we develop some of the basic theory of classical fields from a spacetime covariant viewpoint. Throughout we restrict attention to first order theories; these are theories whose Lagrangians involve no higher than first derivatives of the field

Faut-il continuer à utiliser les catégories écologiques de vers de terre définies par Marcel Bouché il y a 50 ans ? : une vision historique et critique

Les catégories écologiques de vers de terre définies par Marcel Bouché sur les vers de terre français entre 1971 et 1977 ont eu un succès mondial et sont maintenant utilisées par tous les auteurs de tous les continents. Cependant, deux glissements de sens et d'usage peuvent être décelés dans la littérature scientifique. Le premier est que la plupart des auteurs ont oublié que selon Marcel Bouché, les catégories anécique, épigée et endogée ne sont que 3 pôles entre lesquels toutes les autres espèces se projettent, raison pour laquelle il utilisait des catégories intermédiaires (épi-endogée, épi-anécique, endo-anécique et intermédiaire). On est donc passé d'une vision continue à une vision discrète, ce qui pose des problèmes pour assigner certaines espèces de vers de terre. Le second glissement est que les catégories ont de plus en plus souvent été utilisées en synonymie de groupe fonctionnel. Ce glissement est problématique car les catégories définies par Marcel Bouché n'ont jamais eu pour but de décrire les effets des vers de terre sur leur écosystème. Les implications de ces glissements sont discutées. Par ailleurs, nous recommandons (i) de revenir aux textes originels, (ii) d'utiliser les catégories intermédiaires (ou des pourcentages d'appartenance aux 3 classes principales) pour mieux décrire les caractéristiques des espèces de vers et (iii) de ne pas utiliser le terme 'groupe fonctionnel' pour parler des catégories écologiques de vers