Potential of Core-Collapse Supernova Neutrino Detection at JUNO

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

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

Real-time Monitoring for the Next Core-Collapse Supernova in JUNO

Core-collapse supernova (CCSN) is one of the most energetic astrophysical events in the Universe. The early and prompt detection of neutrinos before (pre-SN) and during the SN burst is a unique opportunity to realize the multi-messenger observation of the CCSN events. In this work, we describe the monitoring concept and present the sensitivity of the system to the pre-SN and SN neutrinos at the Jiangmen Underground Neutrino Observatory (JUNO), which is a 20 kton liquid scintillator detector under construction in South China. The real-time monitoring system is designed with both the prompt monitors on the electronic board and online monitors at the data acquisition stage, in order to ensure both the alert speed and alert coverage of progenitor stars. By assuming a false alert rate of 1 per year, this monitoring system can be sensitive to the pre-SN neutrinos up to the distance of about 1.6 (0.9) kpc and SN neutrinos up to about 370 (360) kpc for a progenitor mass of 30$M_{\odot}$ for the case of normal (inverted) mass ordering. The pointing ability of the CCSN is evaluated by using the accumulated event anisotropy of the inverse beta decay interactions from pre-SN or SN neutrinos, which, along with the early alert, can play important roles for the followup multi-messenger observations of the next Galactic or nearby extragalactic CCSN.Comment: 24 pages, 9 figure

Engineering infrastructure of the city: Problems of development and tools for their solution

The questions of the organization of engineering support of residential and non-residential construction objects at the stages from planning to commissioning are studied. So far, these issues have been addressed for each site in a collegial decision-making mode: at Staff meetings, etc., separately, as they arise. This approach demonstrates inconsistency between the actions of construction and resource-supplying organizations both during design and at the construction site, and, as a result, delays in the construction and commissioning of facilities and the growth of social tension. The article presents new tools for increasing the level of interaction between the participants of engineering support processes based on the preliminary, advance interconnection of actions of all participants of the engineering support process and all involved objects. Such tools are especially relevant in large-scale renovation programs of large cities’ housing stock; the article shows the developments applied in the Moscow Housing Renovation Program framework

Methodology for assessing the effectiveness of regional infrastructure facilities to support scientific, technical and innovation activities in the context of the synergy effect: analysis, formation and study

Abstract The objective of the study is to develop a method for the evaluation of efficiency of the regional infrastructure facilities for the support of scientific, research, technical and innovation activities. This paper presents an analysis of the methods currently used in Russia and abroad, identifying their advantages and disadvantages. Based on the analysis, the author suggests a list of parameters characterizing the given domain, and develops a system for the integrated parameter calculation; a list of the regions is provided with the potential for the most objective efficiency evaluation and testing of the developed method; conclusions are made based on the demonstrated calculations. As a result, the developed method is considered effective and promising. Regardless of the composite index currently being in the stability zone, some of its components may lie in the catastrophic risk zone, posing potential threats to the further innovative development of the subject. At the same time, it is found out that an important role in the efficient functioning of the infrastructure supporting the scientific, research, technical and innovation activities belongs to the legislative environment and the closed innovative cycle (synergy effect)

Using parallel computing in queueing network simulation

Queueing networks models are one of the most popular tools of mathematical modeling of various physical systems: telecommunication networks, distributed data processing systems, transportation networks, network models of cash flows, etc. Unfortunately, analytical results of the study of such models can be obtained only in some rather special cases. Therefore, the objectives of the analysis of queueing networks with complex configurations are usually resolved through mechanism of the simulation. However, the main difference of the queueing networks from simple queueing models is that each network can contain many service nodes and these nodes interact with each other. Thus, the simulation of the queueing networks increases the dimension of the tasks executed on one computing device. So, desktop computers cannot perform the required simulation in adequate time. Hence, we have the urgent task of applying the mechanisms of parallel computing and performing simulations using supercomputer clusters. The main aim of the study is to develop and implement the object model of the simulation system of the queueing networks and implement as well the capabilities of parallel computing and statistical processing in order to perform simulation of queueing networks on supercomputer clusters The methods used in the study: simulation based on the discrete/event approach; mathematical models of the event flows, such as Poisson, renewal, Markovian Arrival Process, and semi-Markov processes; statistics data processing; object-oriented methods of analysis, software design and programming, MPI technology. The results. The paper introduces the object model of the software for simulating queueing networks. The application developed on its basis allows simulating queueing networks with rather arbitrary configuration. The parallel computing was implemented and the data were processed. The authors have carried out the real numerical experiments of application execution on the supercomputer cluster of TPU for different dimensions of the task which demonstrated high efficiency of applying parallel computing for simulation of the queueing networks

Using parallel computing in queueing network simulation

Queueing networks models are one of the most popular tools of mathematical modeling of various physical systems: telecommunication networks, distributed data processing systems, transportation networks, network models of cash flows, etc. Unfortunately, analytical results of the study of such models can be obtained only in some rather special cases. Therefore, the objectives of the analysis of queueing networks with complex configurations are usually resolved through mechanism of the simulation. However, the main difference of the queueing networks from simple queueing models is that each network can contain many service nodes and these nodes interact with each other. Thus, the simulation of the queueing networks increases the dimension of the tasks executed on one computing device. So, desktop computers cannot perform the required simulation in adequate time. Hence, we have the urgent task of applying the mechanisms of parallel computing and performing simulations using supercomputer clusters. The main aim of the study is to develop and implement the object model of the simulation system of the queueing networks and implement as well the capabilities of parallel computing and statistical processing in order to perform simulation of queueing networks on supercomputer clusters The methods used in the study: simulation based on the discrete/event approach; mathematical models of the event flows, such as Poisson, renewal, Markovian Arrival Process, and semi-Markov processes; statistics data processing; object-oriented methods of analysis, software design and programming, MPI technology. The results. The paper introduces the object model of the software for simulating queueing networks. The application developed on its basis allows simulating queueing networks with rather arbitrary configuration. The parallel computing was implemented and the data were processed. The authors have carried out the real numerical experiments of application execution on the supercomputer cluster of TPU for different dimensions of the task which demonstrated high efficiency of applying parallel computing for simulation of the queueing networks

Discrete-event approach to simulation of queueing networks

The paper is devoted to basic principles to develop software queueing networks simulations. A mathematical model and general scheme of the queueing network are presented in the paper. Main network components and behavior parameters are described. The application can simulate the networks of rather complex configuration. Software under construction uses a discrete-event approach for the simulation process. Basic algorithm of the simulation is also presented

Discrete-event approach to simulation of queueing networks

The paper is devoted to basic principles to develop software queueing networks simulations. A mathematical model and general scheme of the queueing network are presented in the paper. Main network components and behavior parameters are described. The application can simulate the networks of rather complex configuration. Software under construction uses a discrete-event approach for the simulation process. Basic algorithm of the simulation is also presented

Using parallel computing in queueing network simulation

The paper is devoted to the simulation of queueing networks on high performance computer clusters. The objective is to develop a mathematical model of queueing network and simulation approach to the modelling of the general network functionality, as well as to provide a software implementation on a high-performance computer cluster. The simulation is based on a discrete-event approach, object oriented programming, and MPI technology. The model of the queueing networks simulation system was developed as an application that allows a user to simulate networks of rather free configuration. The experiments on a high performance computer cluster emphasize the high efficiency of parallel computing