Three-point vertex functions in Yang-Mills Theory and QCD in Landau gauge

Solutions for the three-gluon and quark-gluon vertices from Dyson-Schwinger equations and the three-particle irreducible formalism are discussed. Dynamical quarks (``unquenching'') change the three-gluon vertex via the quark-triangle diagrams which themselves include fully dressed quark-gluon vertex functions. On the other hand, the quark-swordfish diagram is, at least with the model used for the two-quark-two-gluon vertex employed here, of minor importance. For the leading tensor structure of the three-gluon vertex the "unquenching" effect can be summarized for the nonperturbative part as a shift of the related dressing function towards the infrared.Comment: Talk given by Adrian L. Blum at XIIth Quark Confinement and the Hadron Spectrum, August 28 - September 04, 2016, Thessaloniki, Greec

On propagators and vertices of Landau gauge Yang-Mills theory

We calculate the three-point functions of pure Landau gauge QCD and investigate their influence on the propagators. As expected, the ghost-gluon vertex leads only to minor modifications, while the three-gluon vertex has a sizeable impact on the mid-momentum regime of the gluon propagator. We describe an effective model of the three-gluon vertex that includes contributions from the neglected two-loop diagrams and thus allows to obtain propagators in good agreement with lattice results. We also determine the three-gluon vertex from these propagators and find good agreement with lattice results as well. In turn, these results allow us to assess the effect of the missing two-loop diagrams in the gluon propagator equation. Finally, we present the first self-consistent calculation that includes all two-and three-point functions.Comment: 12 pages, 10 figs., contribution to "QCD-TNT-III: From quarks and gluons to hadronic matter: A bridge too far?", 2-6 Sept 2013, ECT*, Trento, Ital

Diseño concreto durable 280 Kg/Cm2 para climas gélidos utilizando cemento tipo IP con aditivo incorporador de aire Juliaca Puno 2022

El proyecto de investigación desarrollado tuvo como objetivo general el “Diseño de un concreto durable 280 Kg/Cm2 para climas gélidos con cemento tipo IP y aditivo incorporador de aire”, utilizando la metodología de tipo Aplicada con un Diseño de la Investigación Descriptivo, cuya población y Muestra abarca 44 testigos de concreto de 280 Kg/Cm2, dividido en 4 grupos: muestras con 0% (M.P.), 0.02%, 0.07% y 0.12% de aditivo, el muestreo fue no probabilístico, la técnica empleada fue la Documentación y la Observación, el instrumento fueron las normas con requisitos de durabilidad y resistencia a la compresión. Los resultados por desgaste a ensayos de durabilidad fueron: M.P.=5.16%, 0.02%A.I.=3.23%, 0.07%A.I.=3.01%, 0.12%A.I.=2.95%, los resultados de resistencia a la compresión después de su exposición a agentes agresivos fueron: M.P.=76.70%, 0.02%A.I.=81.97%, 0.07%A.I.=80.90%, 0.12%A.I.=67.66%, su pérdida de resistencia fue: M.P.=33.98%, 0.02%A.I.=28.63%, 0.07%A.I.=23.35%, 0.12%A.I.=24.48%, concluyendo que el diseño para un concreto durable 280 Kg/Cm2 es la muestra 0.07% A.I. con un factor de durabilidad mayor al 80% normado y la menor perdida de resistencia, compuesta por: SikaAer=30ml, Cemento Rumi IP=42.5Kg, Agua=15.7L, Agregado Fino=56.8Kg, Agregado Grueso=88.5Kg, con características: relación A/C Corregido=0.37, Asentamiento=3”, Porcentaje de Aire=4.5%

An event-driven probabilistic model of sound source localization using cochlea spikes

This work presents a probabilistic model that estimates the location of sound sources using the output spikes of a silicon cochlea such as the Dynamic Audio Sensor. Unlike previous work which estimated the source locations directly from the interaural time differences (ITDs) extracted from the timing of the cochlea spikes, the spikes are used instead to support a distribution model of the ITDs representing possible locations of sound sources. Results on noisy single speaker recordings show average accuracies of approximately 80% on detecting the correct source locations and an estimation lag of <;100ms

Printed temperature sensor array for high-resolution thermal mapping

Fully-printed temperature sensor arrays—based on a flexible substrate and featuring a high spatial-temperature resolution—are immensely advantageous across a host of disciplines. These range from healthcare, quality and environmental monitoring to emerging technologies, such as artificial skins in soft robotics. Other noteworthy applications extend to the fields of power electronics and microelectronics, particularly thermal management for multi-core processor chips. However, the scope of temperature sensors is currently hindered by costly and complex manufacturing processes. Meanwhile, printed versions are rife with challenges pertaining to array size and sensor density. In this paper, we present a passive matrix sensor design consisting of two separate silver electrodes that sandwich one layer of sensing material, composed of poly(3,4-ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS). This results in appreciably high sensor densities of 100 sensor pixels per cm2 for spatial-temperature readings, while a small array size is maintained. Thus, a major impediment to the expansive application of these sensors is efficiently resolved. To realize fast and accurate interpretation of the sensor data, a neural network (NN) is trained and employed for temperature predictions. This successfully accounts for potential crosstalk between adjacent sensors. The spatial-temperature resolution is investigated with a specially-printed silver micro-heater structure. Ultimately, a fairly high spatial temperature prediction accuracy of 1.22 °C is attained