59 research outputs found

    Potential of Core-Collapse Supernova Neutrino Detection at JUNO

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    JUNO is an underground neutrino observatory under construction in Jiangmen, China. It uses 20kton liquid scintillator as target, which enables it to detect supernova burst neutrinos of a large statistics for the next galactic core-collapse supernova (CCSN) and also pre-supernova neutrinos from the nearby CCSN progenitors. All flavors of supernova burst neutrinos can be detected by JUNO via several interaction channels, including inverse beta decay, elastic scattering on electron and proton, interactions on C12 nuclei, etc. This retains the possibility for JUNO to reconstruct the energy spectra of supernova burst neutrinos of all flavors. The real time monitoring systems based on FPGA and DAQ are under development in JUNO, which allow prompt alert and trigger-less data acquisition of CCSN events. The alert performances of both monitoring systems have been thoroughly studied using simulations. Moreover, once a CCSN is tagged, the system can give fast characterizations, such as directionality and light curve

    Detection of the Diffuse Supernova Neutrino Background with JUNO

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    As an underground multi-purpose neutrino detector with 20 kton liquid scintillator, Jiangmen Underground Neutrino Observatory (JUNO) is competitive with and complementary to the water-Cherenkov detectors on the search for the diffuse supernova neutrino background (DSNB). Typical supernova models predict 2-4 events per year within the optimal observation window in the JUNO detector. The dominant background is from the neutral-current (NC) interaction of atmospheric neutrinos with 12C nuclei, which surpasses the DSNB by more than one order of magnitude. We evaluated the systematic uncertainty of NC background from the spread of a variety of data-driven models and further developed a method to determine NC background within 15\% with {\it{in}} {\it{situ}} measurements after ten years of running. Besides, the NC-like backgrounds can be effectively suppressed by the intrinsic pulse-shape discrimination (PSD) capabilities of liquid scintillators. In this talk, I will present in detail the improvements on NC background uncertainty evaluation, PSD discriminator development, and finally, the potential of DSNB sensitivity in JUNO

    Prenatal alcohol prevention in the UK: Mapping the landscape through systematic collaborative review

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    BACKGROUND: UK policy makers have called for urgent action to reduce prenatal alcohol exposure (PAE), but evidence on what is effective is scarce. We aimed to identify, evaluate, and synthesise evidence on content, process aspects, and effectiveness of UK PAE prevention initiatives. METHODS: We conducted a systematic search of published and grey literature on UK PAE prevention (PROSPERO: CRD42020209460); consultations with 61 academic, practice, policy, third sector, and public stakeholders; and semi-structured 12 interviews with pregnant people (who were aged ≥18 years and ≥12 weeks' gestation) and service providers to discuss experiences of PAE prevention. Participants were purposively sampled to cover each UK region and identified through maternity sites, social media and, for stakeholder consultees, researcher networks. Information from relevant PAE prevention initiatives from the literature was independently extracted by two reviewers. Ethical approval and informed consent were obtained for interviews, which were recorded and transcribed. Qualitative evidence was synthesised using thematic analysis. Quantitative data will be summarised using descriptive statistics and meta-analysis. FINDINGS: We identified 14 PAE prevention initiatives through literature searches (22 of 4064 results were eligible), stakeholder consultation, and interviews. Initiatives included screening and intervention, campaigns, and education or training. Seven initiatives were identified in the north of England. Two initiatives were identified in Scotland and two in Wales. The East of England, West Midlands, and South East of England had one each. None were identified in Southwest of England or Northern Ireland. Barriers to prevention included absence of resources, excessive workload, concerns around blame, and COVID-19. Enablers included workforce training and trust between pregnant people and service providers. Effectiveness of evidence was scarce. INTERPRETATION: Key strengths include extensive searches and multidisciplinary consultation. Data collection and analyses are ongoing and will be finalised before November, 2022. This research will provide a comprehensive analysis of current provision, providing crucial evidence to inform research and practice. FUNDING: The National Institute for Health and Care Research

    Usability of an Automated System for Real-time Monitoring of Shared Decision Making for Surgery:A Mixed Methods Evaluation

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    This aim of this study was to examine the usability of a novel, automated, real-time measurement system to monitor surgical patients’ experience of SDM. Specific objectives were to evaluate the measurement system’s i) effectiveness, ii) efficiency, and iii) user satisfaction amongst a large sample of surgical patients from a wide range of surgical specialties
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