The ATLAS trigger system for LHC Run 3 and trigger performance in 2022

The ATLAS trigger system is a crucial component of the ATLAS experiment at the LHC. It is responsible for selecting events in line with the ATLAS physics programme. This paper presents an overview of the changes to the trigger and data acquisition system during the second long shutdown of the LHC, and shows the performance of the trigger system and its components in the proton-proton collisions during the 2022 commissioning period as well as its expected performance in proton-proton and heavy-ion collisions for the remainder of the third LHC data-taking period (2022–2025)

Electron and photon energy calibration with the ATLAS detector using LHC Run 2 data

This paper presents the electron and photon energy calibration obtained with the ATLAS detector using 140 fb-1 of LHC proton-proton collision data recorded at √(s) = 13 TeV between 2015 and 2018. Methods for the measurement of electron and photon energies are outlined, along with the current knowledge of the passive material in front of the ATLAS electromagnetic calorimeter. The energy calibration steps are discussed in detail, with emphasis on the improvements introduced in this paper. The absolute energy scale is set using a large sample of Z-boson decays into electron-positron pairs, and its residual dependence on the electron energy is used for the first time to further constrain systematic uncertainties. The achieved calibration uncertainties are typically 0.05% for electrons from resonant Z-boson decays, 0.4% at ET ∼ 10 GeV, and 0.3% at ET ∼ 1 TeV; for photons at ET ∼ 60 GeV, they are 0.2% on average. This is more than twice as precise as the previous calibration. The new energy calibration is validated using J/ψ → ee and radiative Z-boson decays

Performance and calibration of quark/gluon-jet taggers using 140 fb−1 of pp collisions at √s = 13 TeV with the ATLAS detector

The identification of jets originating from quarks and gluons, often referred to as quark/gluon tagging, plays an important role in various analyses performed at the Large Hadron Collider, as Standard Model measurements and searches for new particles decaying to quarks often rely on suppressing a large gluon-induced background. This paper describes the measurement of the efficiencies of quark/gluon taggers developed within the ATLAS Collaboration, using √s = 13 TeV proton–proton collision data with an integrated luminosity of 140 fb-1 collected by the ATLAS experiment. Two taggers with high performances in rejecting jets from gluon over jets from quarks are studied: one tagger is based on requirements on the number of inner-detector tracks associated with the jet, and the other combines several jet substructure observables using a boosted decision tree. A method is established to determine the quark/gluon fraction in data, by using quark/gluon-enriched subsamples defined by the jet pseudorapidity. Differences in tagging efficiency between data and simulation are provided for jets with transverse momentum between 500 GeV and 2 TeV and for multiple tagger working points

Adaptive Online Time Allocation to Search Algorithms

Given is a search problem or a sequence of search problems, as well as a set of potentially useful search algorithms. We propose a general framework for online allocation of computation time to search algorithms based on experience with their performance so far. In an example instantiation, we use simple linear extrapolation of performance for allocating time to various simultaneously running genetic algorithms characterized by different parameter values. Despite the large number of searchers tested in parallel, on various tasks this rather general approach compares favorably to a more specialized state-of-the-art heuristic; in one case it is nearly two orders of magnitude faster.info:eu-repo/semantics/publishe

Desempenho de novilhos em crescimento em pastagem de Brachiaria decumbens suplementados com diferentes fontes energéticas no período da seca e transição seca-águas Development of growing steers on Brachiaria decumbens supplemented with different energy sources during the dry season and transition from dry to wet season

Objetivou-se, neste trabalho, estudar o efeito da suplementação, com diferentes fontes energéticas, sobre o desempenho de novilhos em crescimento e a viabilidade econômica da suplementação, bem como avaliar a disponibilidade e composição química da braquiária (Brachiaria decumbens Stapf), no período de julho a novembro, na região Oeste do Estado de São Paulo. Foram utilizados 42 novilhos da raça Nelore, distribuídos em três piquetes de 7,2 ha cada. As fontes energéticas utilizadas como suplementos foram: milho desintegrado com palha e sabugo (MDPS), farinha de mandioca de varredura (FMV) e casca do grão de soja (CGS). Todos os tratamentos continham farelo de algodão, para atingir 25% de PB, e foram fornecidos em nível de 1,3% do PV. As pesagens dos animais foram realizadas a cada 14 dias e a disponibilidade de forragem foi estimada a cada 28 dias. A disponibilidade média de forragem foi de 2.570 kg de MS/ha e 1.306 kg de lâmina foliar/ha. A proporção de lâmina foliar apresentou comportamento quadrático em função do período experimental, com valor mínimo de 46,58%, observado em agosto. Os teores médios de proteína bruta foram de: 4,45% para planta inteira; 5,30% para lâmina foliar e 2,83% para o colmo + bainha. Os teores médios de FDN e FDA foram, respectivamente, de 70,61% e 39,93% para a planta inteira; 65,76% e 34,91% para a lâmina foliar e 75,83% e 47,90% para o colmo + bainha. Entre os suplementos não houve diferença para ganho médio diário, apresentando média de 0,836 kg/animal/dia. O suplemento mais viável economicamente foi o que continha a farinha de mandioca de varredura, pois, além de apresentar menor custo, foi o que proporcionou maior ganho animal, mostrando melhor relação receita: custo.<br>The aim of this work was evaluate the effect of supplementation with different energetic sources, on growing steers performance and economical viability, and also evaluate the structure and chemical composition of Signalgrass (Brachiaria decumbens) from July to November, on São Paulo state west region. Forty-two animals (Nelore) and three pastures of 7.2 ha each, were used. The energy sources used for supplements were: corn and cob with husks (CCH), cassava meal (CM) and soybean hulls (SH); each treatment had cottonseed meal to reach 25% of CP, and was given at 1.30% of BW. The animal weight was verified at each 14 days and forage characteristics were evaluated at each 28 days. The average availability of forage was 2570 kg DM/ha and 1306 kg leaves/ha. Leaves proportion showed a quadratic behavior in function of experimental period, with minimum value of 46.58 % observed in August. The average levels of CP were 4.45% for all plant, 5.30% for leaf e 2.83% for steam. The average levels of NDF and ADF were, respectively 70.61% and 39.93% for all plant, 65.76% and 34.91% for leaf, and 75.83% and 47.90% for steam. The supplements were not different on average daily gain, with average of 0.836 kg/animal/day. The supplement more economically viable was the cassava meal, which showed lesser coasts and bigger animal gain with better relation income:costs