A search for pair-produced resonances in four-jet final states at root s=13 TeV with the ATLAS detector

A search for massive coloured resonances which are pair-produced and decay into two jets is presented. The analysis uses 36.7 fb−1 − 1 of √ s = 13 TeV pp collision data recorded by the ATLAS experiment at the LHC in 2015 and 2016. No significant deviation from the background prediction is observed. Results are interpreted in a SUSY simplified model where the lightest supersymmetric particle is the top squark, ̃ t ~ , which decays promptly into two quarks through R-parity-violating couplings. Top squarks with masses in the range 100 GeV<̃<410 100 GeV < m t ~ < 410 GeV GeV are excluded at 95% confidence level. If the decay is into a b-quark and a light quark, a dedicated selection requiring two b-tags is used to exclude masses in the ranges 100 GeV<̃<470 100 GeV < m t ~ < 470 GeV GeV and 480 GeV<̃<610 480 GeV < m t ~ < 610 GeV GeV . Additional limits are set on the pair-production of massive colour-octet resonances

Measurements of electroweak Wjj production and constraints on anomalous gauge couplings with the ATLAS detector

Measurements of the electroweak production of a W boson in association with two jets at high dijet invariant mass are performed using root s = 7 and 8 TeV proton-proton collision data produced by the Large Hadron Collider, corresponding respectively to 4.7 and 20.2 fb(-1) of integrated luminosity collected by the ATLAS detector. The measurements are sensitive to the production of a W boson via a triple-gauge-boson vertex and include both the fiducial and differential cross sections of the electroweak process

Retinol and fat from breast milk of Brazilian mothers at high risk for food unsafe.

Promotion and protection of breastfeeding is an important strategy in prevention of Vitamin A (Retinol) deficiency in childhood. Breast milk retinol?s allows us the chance to reach the maternal nutritional status and go over infant status. This study aimed to know the retinol and fat content in mature breast milk from Novo Cruzeiro?s population, Brazil. It was analyzes 63 samples of breast milk that belonged to 81 children. The fat content was reached by crematocrit procedure and Retinol content by HPLC. Others datas had gotten through semi-structured pre-coded questionnaires. Statistics analyses were performed nonparametric for paired samples. The median of Retinol was 0,62 ?g/100mL and 1,7?g/100mL from breast milk before and after the infant had breastfed. The samples were considered statistically different (p<0,001) for Retinol contents and for fat contents (p<0,001). The results shows that Vitamin A?s content after the suck one , in each class of alimentary security, are strongly bigger than the content before suck (The Alimentary Security p=0,005; Light Unreliability p < 0,001; Moderate Unreliability p < 0,001; Deep Unreliability p< 0,001). The results suggest that the breast milk from the end of the suck provides greater retinol ingestion; breast milk before feed allows to reach The Brazilian Scale of Unreliability Alimentary. Although it is important to guide mothers to not interrupt the suck one and not to limit the manual expression only to initial breast milk

Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2

International audienceWith the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13  $\text {TeV}$ for Run 2, events with dense environments, such as in the cores of high-energy jets, became a focus for new physics searches as well as measurements of the Standard Model. These environments are characterized by charged-particle separations of the order of the tracking detectors sensor granularity. Basic track quantities are compared between 3.2 fb$^{-1}$ of data collected by the ATLAS experiment and simulation of proton–proton collisions producing high-transverse-momentum jets at a centre-of-mass energy of 13  $\text {TeV}$ . The impact of charged-particle separations and multiplicities on the track reconstruction performance is discussed. The track reconstruction efficiency in the cores of jets with transverse momenta between 200 and 1600 $\text {GeV}$ is quantified using a novel, data-driven, method. The method uses the energy loss, ${\text { d}}{} \textit{E}/d\textit{x}$ , to identify pixel clusters originating from two charged particles. Of the charged particles creating these clusters, the measured fraction that fail to be reconstructed is $0.061 \pm 0.006\ {\text {(stat.)}} \pm 0.014\ {\text {(syst.)}}$ and $0.093 \pm 0.017\ {\text {(stat.)}}\pm 0.021\ {\text {(syst.)}}$ for jet transverse momenta of 200–400  $\text {GeV}$ and 1400–1600  $\text {GeV}$ , respectively