Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation

Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment

The Deep Underground Neutrino Experiment (DUNE) will produce world-leading neutrino oscillation measurements over the lifetime of the experiment. In this work, we explore DUNE's sensitivity to observe charge-parity violation (CPV) in the neutrino sector, and to resolve the mass ordering, for exposures of up to 100 kiloton-megawatt-years (kt-MW-yr). The analysis includes detailed uncertainties on the flux prediction, the neutrino interaction model, and detector effects. We demonstrate that DUNE will be able to unambiguously resolve the neutrino mass ordering at a 3σ (5σ) level, with a 66 (100) kt-MW-yr far detector exposure, and has the ability to make strong statements at significantly shorter exposures depending on the true value of other oscillation parameters. We also show that DUNE has the potential to make a robust measurement of CPV at a 3σ level with a 100 kt-MW-yr exposure for the maximally CP-violating values \delta_{\rm CP}} = \pm\pi/2. Additionally, the dependence of DUNE's sensitivity on the exposure taken in neutrino-enhanced and antineutrino-enhanced running is discussed. An equal fraction of exposure taken in each beam mode is found to be close to optimal when considered over the entire space of interest

Effect of physical activity level on the course of pneumonia caused by COVID-19

Data from medical records of 144 COVID-19 patients who completed inpatient treatment, as well as subsequent questionnaires using a modified questionnaire, were analyzed. The relationship between the level of physical activity, performance, and quality of life (before and after treatment), age, frequency of exercise therapy at the hospital stage, the presence of stool disorders, and episodes of increased blood pressure after treatment with the course of the disease were evaluated. Patients were divided into a control and experimental group depending on the initial subjective level of performance. The moderate form prevailed (69,44%). The mild form is typical for younger patients, patients older than 50 years make up 62,49% of the total number of cases of severe course. Patients who had a severe form of the disease noted the quality of life and performance before the disease at a lower level, in contrast to those who had a medium and light form. Initially leading a more active lifestyle, patients with initially higher performance and quality of life who performed exercise therapy at the hospital stage (with mild and moderate forms) have a more favorable course of the disease (reducing the time of hospitalization, early recovery of performance, reducing the number of CT scans). The initial higher physical activity contributes to a more favorable course of the disease. The initial higher physical activity contributes to a more favorable course of the disease. It is necessary to raise public awareness of the benefits of regular physical activity and its connection with the course of the disease, especially among the elderly, as well as to introduce exercise therapy at all stages of treatment.</jats:p