17 research outputs found

    SN1987A and the properties of neutrino burst

    Full text link
    We reanalyze the neutrino events from SN1987A in IMB and Kamiokande-II (KII) detectors, and compare them with the expectations from simple theoretical models of the neutrino emission. In both detectors the angular distributions are peaked in the forward direction, and the average cosines are 2 sigma above the expected values. Furthermore, the average energy in KII is low if compared with the expectations; but, as we show, the assumption that a few (probably one) events at KII have been caused by elastic scattering is not in contrast with the 'standard' picture of the collapse and yields a more satisfactory distributions in angle and (marginally) in energy. The observations give useful information on the astrophysical parameters of the collapse: in our evaluations, the mean energy of electron antineutrinos is =12-16 MeV, the total energy radiated around (2-3)*1.E53 erg, and there is a hint for a relatively large radiation of non-electronic neutrino species. These properties of the neutrino burst are not in disagreement with those suggested by the current theoretical paradigm, but the data leave wide space to non-standard pictures, especially when neutrino oscillations are included.Comment: 14 pages, 5 figure

    The Long-Baseline Neutrino Experiment: Exploring Fundamental Symmetries of the Universe

    Get PDF
    The preponderance of matter over antimatter in the early Universe, the dynamics of the supernova bursts that produced the heavy elements necessary for life and whether protons eventually decay --- these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our Universe, its current state and its eventual fate. The Long-Baseline Neutrino Experiment (LBNE) represents an extensively developed plan for a world-class experiment dedicated to addressing these questions. LBNE is conceived around three central components: (1) a new, high-intensity neutrino source generated from a megawatt-class proton accelerator at Fermi National Accelerator Laboratory, (2) a near neutrino detector just downstream of the source, and (3) a massive liquid argon time-projection chamber deployed as a far detector deep underground at the Sanford Underground Research Facility. This facility, located at the site of the former Homestake Mine in Lead, South Dakota, is approximately 1,300 km from the neutrino source at Fermilab -- a distance (baseline) that delivers optimal sensitivity to neutrino charge-parity symmetry violation and mass ordering effects. This ambitious yet cost-effective design incorporates scalability and flexibility and can accommodate a variety of upgrades and contributions. With its exceptional combination of experimental configuration, technical capabilities, and potential for transformative discoveries, LBNE promises to be a vital facility for the field of particle physics worldwide, providing physicists from around the globe with opportunities to collaborate in a twenty to thirty year program of exciting science. In this document we provide a comprehensive overview of LBNE's scientific objectives, its place in the landscape of neutrino physics worldwide, the technologies it will incorporate and the capabilities it will possess.Comment: Major update of previous version. This is the reference document for LBNE science program and current status. Chapters 1, 3, and 9 provide a comprehensive overview of LBNE's scientific objectives, its place in the landscape of neutrino physics worldwide, the technologies it will incorporate and the capabilities it will possess. 288 pages, 116 figure

    Measurement of Hair Cortisol Concentration in Pregnant Women and Children with Asthma to Assess Its Potential as a Biomarker of the Hypothalamic-pituitary-adrenal Axis

    No full text
    The recommended long-term treatment for asthma is inhaled corticosteroid (ICS) therapy, but research has shown that ICS use is associated with adrenal suppression. Cortisol is important physiologically and involved in fetal maturation and epigenetic programming. Hair cortisol has been used as a biomarker of the long-term effects on the hypothalamic-pituitary- adrenal (HPA) axis for a variety of psychiatric and medical conditions. This research hypothesizes that hair cortisol may be able to detect lower cortisol concentrations in pregnant women and children on ICS therapy and, therefore, have potential as a useful biomarker for possible adrenal suppression due to ICS use. This retrospective cohort study collected hair samples from children and pregnant women with asthma, treated and not treated with ICS, and those without asthma. Hair samples were segmented, based on an average growth of 1 cm/month, and analyzed using a validated ELISA method. A children's pilot study analyzed the hair prior to and during ICS therapy for the same children. The proximal 3 cm hair segment was analyzed for the large cohort of children. Hair segments for preconception, trimesters 1-3, and postpartum were analyzed for the pregnant women. The results were compared within and among the groups, as appropriate. The children's pilot study showed hair cortisol concentrations were twofold lower during ICS therapy (median 89.8 ng/g vs. 198.2 ng/g, p=0.0015, n=18). For pregnant women (n=118), asthma was a significant factor associated with lower hair cortisol. Women with asthma and consistent ICS use had significantly lower third trimester hair cortisol (47%, p=0.029) compared to Controls. The comparison of median hair cortisol concentrations among the three groups in the large cohort of children (n=460) was not significant. However, 5.3% of children on ICS therapy had hair cortisol below 2 ng/g compared to none in the control groups, which may indicate children with or at risk of adrenal suppression. The significant factors associated with hair cortisol in children were age, female sex, intranasal corticosteroid use, and BMI. Hair cortisol analysis successfully detected significantly lower hair cortisol concentrations suggesting it is a useful biomarker of the HPA axis in pregnant women and children. The correlation of hair cortisol concentrations with a diagnosis of adrenal suppression or insufficiency and the potential impact of decreased maternal cortisol in women with asthma on perinatal outcomes remain to be determined.Ph.D

    Hair cortisol as a novel biomarker of HPA suppression by inhaled corticosteroids in children

    No full text
    Background: Asthma is the most common chronic condition in childhood, and the recommended pharmacotherapy for long-term control includes the use of inhaled corticosteroids (ICS). ICS were designed to act at the site of inflammation in the lung, thus decreasing systemic absorption and reducing the risk of adverse effects associated with corticosteroid use (e.g., HPA suppression and its consequent effects). Available data show that measurement of hair cortisol successfully reflects endogenous cortisol levels. We sought to examine whether hair cortisol measurements can be used to identify HPA suppression surrounding ICS therapy in children with asthma.Methods:Hair samples were collected from the vertex posterior region of the head of 18 asthmatic children. We compared their hair cortisol concentration during ICS use with the concentration prior to ICS use.Results:During ICS therapy, median hair cortisol levels were twofold lower compared with the period of no ICS use (median 89.8 ng/g vs. 198.2 ng/g, P = 0.0015).Conclusion:Hair cortisol is an effective biomarker of the HPA suppression associated with ICS therapy and can be a sensitive tool for determining systemic effects of ICS use and monitoring adherence. Future research is needed to characterize the effect of untreated asthma on hair cortisol concentrations, if any

    Low energy radioactivity BG model in Super-Kamiokande detector from SK-IV data

    Get PDF
    n/

    Follow-up of GWTC-2 gravitational wave events with neutrinos from the Super-Kamiokande detector

    Get PDF
    n/

    Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics

    No full text
    The preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventually decay -- these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our universe, its current state, and its eventual fate. DUNE is an international world-class experiment dedicated to addressing these questions as it searches for leptonic charge-parity symmetry violation, stands ready to capture supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector technical design report (TDR) describes the DUNE physics program and the technical designs of the single- and dual-phase DUNE liquid argon TPC far detector modules. Volume II of this TDR, DUNE Physics, describes the array of identified scientific opportunities and key goals. Crucially, we also report our best current understanding of the capability of DUNE to realize these goals, along with the detailed arguments and investigations on which this understanding is based. This TDR volume documents the scientific basis underlying the conception and design of the LBNF/DUNE experimental configurations. As a result, the description of DUNE's experimental capabilities constitutes the bulk of the document. Key linkages between requirements for successful execution of the physics program and primary specifications of the experimental configurations are drawn and summarized. This document also serves a wider purpose as a statement on the scientific potential of DUNE as a central component within a global program of frontier theoretical and experimental particle physics research. Thus, the presentation also aims to serve as a resource for the particle physics community at large

    Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

    No full text
    International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/cc charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1±0.6\pm0.6% and 84.1±0.6\pm0.6%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

    Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

    No full text
    International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/cc charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1±0.6\pm0.6% and 84.1±0.6\pm0.6%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation
    corecore