Prof.
Boris Sharkov
(JINR)
30/09/2019, 10:50
Dr
Vladimir Korenkov
(JINR)
30/09/2019, 11:40
Plenary
Information technologies are one of the key drivers of the development strategy and progress in scientific studies. Their development contributes to enhancing the quality of research, speeding up getting results and new scientific knowledge, effective management, emerging novel forms of the education system, improving communication and interaction between scientists and providing access to a...
Dr
Tadeusz Kurtyka
(CERN)
30/09/2019, 12:10
Dr
Oleg Rogachevskiy
(JINR)
30/09/2019, 12:40
Plenary
The project NICA (Nuclotron-based Ion Collider fAcility) is aimed to study a hot and dense baryonic matter in heavy-ion collisions in the energy range up to $\sqrt{s}_{NN} = 11.0$ GeV . The NICA accelerators complex includes an upgrade of the existing superconducting synchrotron ``Nuclotron'' and construction of the new injection sources, supercondacting booster, and supercondacting collider...
Prof.
Dario Barberis
(University and INFN Genova (Italy))
30/09/2019, 13:10
Plenary
ATLAS developed over the years a large number of monitoring and accounting tools for distributed computing applications. In advance of the increased experiment data rates and monitoring data volumes foreseen for LHC Run 3 starting in 2012, a new infrastructure has been provided by the CERN-IT Monit group, based on InfluxDB as the data store and Grafana as the display environment. ATLAS is...
Elena Popova
(CERN)
30/09/2019, 15:00
Plenary
The High Luminosity upgrade of the LHC (HL-LHC) is foreseen to increase the instantaneous luminosity by a factor of five to seven times the LHC nominal design value. The resulting, unprecedented requirements for background monitoring and luminosity measurement create the need for new high-precision instrumentation at CMS, using radiation hard detector technologies. This contribution presents...
Dr
Sergey Sidorchuk
(FLNR JINR)
30/09/2019, 15:30
Plenary
Nuclear forces are capable of keeping together only a certain number of protons and neutrons forming nuclei situated in the chart of nuclides within an area confined to the so called borders of nuclear stability. For the time being these boundaries are known up to Z=13 for nuclei with neutron excess and Z=32 for proton-rich nuclei. The search for stability borders for heavier nuclei and...
Mr
Sergey Sobolev
(RCC MSU)
30/09/2019, 16:30
Plenary
Just after the computer era has been started, the Research Computing Center of the Moscow State University was equipped with the most modern computing hardware. These days RCC MSU still operates large scale supercomputers including Lomonosov and Lomonosov-2. Supercomputers are open for research and education society supporting hundreds of projects. The huge number of hardware and software...
Ruslan Smeliansky
(Lomonosov Moscow State University)
30/09/2019, 17:00
Plenary
Modern practical research in physics, chemistry and biology has shifted in the area of simulations, experimental results’ processing and data mining, thus imposing immense demands on computational resources.
The problem is that due to the heterogeneous nature such resources may have a high variance in their load. So users may wait for weeks until their job is done, even though there is...
Evgeny LOGUNTSOV
(CISCO)
30/09/2019, 18:20
Mr
Vladimir Elkin
(JINR)
01/10/2019, 09:00
Plenary
The TANGO control system is chosen as the main platform for developing control software at the Nuclotron. The experimental setup of the TANGO system was successfully tested during the runs of the existing accelerator complex. The report describes hardware, server and client software modules for data acquisition and equipment management at LU-20 and HILAC linear accelerators.
Universal web...
Mr
Wainer Vandelli
(CERN)
01/10/2019, 09:30
Plenary
The ATLAS experiment at CERN has started the construction of upgrades for the "High Luminosity LHC", with collisions due to start in 2026. In order to deliver an order of magnitude more data than previous LHC runs, 14 TeV protons will collide with an instantaneous luminosity of up to 7.5x10^34 cm^-2s^-1, resulting in much higher pileup and data rates than the current experiment was designed to...
Hale Sert
(RWTH Aachen University)
01/10/2019, 10:00
Plenary
The CMS experiment selects events with a two-level trigger system, the Level-1 (L1) trigger and the High Level trigger (HLT). The HLT is a farm of approximately 30K CPU cores that reduces the rate from 100 kHz to about 1 kHz. The HLT has access to the full detector readout and runs a streamlined version of the offline event reconstruction. In Run 2 the peak instantaneous luminosity reached...
Dr
Roumyana Hadjiiska
(Bulgarian Academy of Sciences - INRNE)
01/10/2019, 10:30
Plenary
The CMS (Compact Muon Solenoid) experiment, at the Large Hadron Collider (LHC) in CERN explores three different gaseous detector technologies in order to measure and trigger muons: Cathode Strip Chambers (in the forward regions), Drift Tubes (in the central region), and Resistive Plate Chambers (both its central and forward regions). The CMS RPC system provides information to all muon track...
Dr
Fedor Prokoshin
(JINR)
01/10/2019, 11:30
Plenary
The ATLAS Event Index provides since 2015 a good and reliable service for the initial use cases (mainly event picking) and several additional ones, such as production consistency checks, duplicate event detection and measurements of the overlaps of trigger chains and derivation datasets. LHC Run 3 will see increased data-taking and simulation production rates, with which the current...
Isabelle De Bruyn
(University of Wisconsin - Madison)
01/10/2019, 12:00
Plenary
Cathode strip chambers (CSCs) are used to detect muons in the endcap region of the CMS detector. The High Luminosity LHC will present particular challenges to the electronics that read out the CSCs: the demands of increased particle flux, longer trigger latency, and increased trigger rate require upgraded electronics boards in the forward region. In particular, both the anode and cathode...
Mr
andrey shevel
(PNPI, ITMO)
01/10/2019, 12:30
Plenary
The designing and development of a computing clouds is complex process where numerous factors have to be taken into account. For example, size of planned cloud and potential growth, hardware/software platforms, flexible architecture, security, ease of maintenance. Computing cloud is quite often consisted of several data centers (DC). The DC is considered to be a group of hardware and/or...
Mrs
Anna Maksymchuk
(JINR)
01/10/2019, 13:00
Plenary
The first experiment at the accelerator complex of NICA-Nuclotron BM@N (Baryonic Matter at Nuclotron) is aimed to study interactions of relativistic heavy ion beams with fixed targets. Relativistic heavy ion collisions provide the unique opportunity to investigate the properties of nuclear matter at ultra-high density and temperature. The Nuclotron heavy ion beam energy range is well suited...
Fabrizio Ferro
(INFN Genova)
01/10/2019, 15:00
The CMS Precision Proton Spectrometer (PPS) consists of silicon tracking stations as well as timing detectors to measure both the position and direction of protons and their time-of-flight with high precision. Special devices called Roman Pots are used to insert the detectors inside the LHC beam pipe to allow the detection of scattered protons close to the beam itself. They are located at...
Ivan Sapozhkov
(RSC)
01/10/2019, 15:00
Prof.
Ivan Vankov
(Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences)
01/10/2019, 15:15
GEM (Gas Electron Multiplier) detectors are developed to measure the muon flux at the future HL (High Luminosity) LHC. A radiation monitoring system to control the dose absorbed by these detectors during the tests was designed. The system uses a basic detector unit, called RADMON. There are in each unit two types of sensors: RadFETs, measuring the total absorbed dose of all radiations and...
CISCO
01/10/2019, 15:20
Dr
Martina Ressegotti
(University & INFN Pavia, Italy)
01/10/2019, 15:30
The CMS experiment is one of the two general purpose experiments at the LHC pp collider. For LHC Phase-2, the instantaneous luminosity delivered to the experiment will reach 5 × 1034 cm−2s−1, resulting in high particle fluxes that requires the detectors to be upgraded. The forward regions, corresponding to the endcaps of the detectors, are the most affected parts. In the CMS experiment, to...
Dr
Tatiana Strizh
(JINR)
01/10/2019, 15:40
Distributed Computing. GRID & Cloud Computing
Sectional
The JINR grid infrastructure is represented by the Tier1 center for the CMS experiment at the LHC and the Tier2 center. The grid center resources of the JINR are part of the global grid infrastructure WLCG (Worldwide LHC Computing Grid), developed for LHC experiments. JINR LIT actively participates in the WLCG global project. The work on the use of the grid infrastructure within the WLCG...
Dr
Nikolay Kutovskiy
(JINR)
01/10/2019, 16:30
Distributed Computing. GRID & Cloud Computing
Sectional
The JINR cloud grows not only in terms of the amount of resources, but also in the number of activities it is used for, namely, COMPASS production system services, a data management system of the UNECE ICP Vegetation, a service for disease detection of agricultural crops through the use of advanced machine learning approaches, a service for scientific and engineering computations, a service...
Mr
Andrey Churakov
(FLNP JINR)
01/10/2019, 16:30
It is commonly supposed that the amplitude spectrum of the helium proportional counter at irradiation by thermal and cold neutrons has a peak of full absorption with the energy of 768 keV and two small “shelves”, caused by boundary effects from falling of charged particles (of proton or tritium nucleus) in the detector wall. Simulation of the amplitude spectra of cylindrical counters with...
Andrey Chupakhin
(Lomonosov Moscow State University)
01/10/2019, 16:45
Distributed Computing. GRID & Cloud Computing
Sectional
HPC-as-a-service is a new cloud paradigm that represents easy to access and use cloud environments for High Performance Computing (HPC). This paradigm has been receiving a lot of attention from the research community lately since it represents a good tradeoff between computational power and usability.
One of the key drawbacks associated with HPC clouds is low CPU usage due to the network...
Ms
Catherine Streletskaya
(JINR)
01/10/2019, 16:45
The use of microstrip detectors in creating coordinate track systems for HEP experiments with high geometric efficiency (~100%), a large number of strips (measuring channels) over 10^6 and accuracy a/√12 (a-pitch)requires careful preliminary selection of detectors by main parameters. The main static parameters of silicon microstrip detectors include the following:I-V characteristic determines...
Mr
Dmitrii Ponomarev
(DLNP)
01/10/2019, 17:00
Modern commercially available digitizers provide for a moderate price new detection approaches (pulse shape discrimination (PSD), pulse height analysis, etc.) in nuclear and particle physics. In particular, such new
electronics became highly demanded for neutron's detection. One of a new detection methods is to use PSD technique for new lithium containing scintillators for effective...
Mr
Igor Pelevanyuk
(JINR)
01/10/2019, 17:00
Distributed Computing. GRID & Cloud Computing
Sectional
Computing clouds are widely used by many organizations in science, business, and industry. They provide flexible access to various physical computing resources. In addition computing clouds allows better resource utilization. Today, many scientific organizations have their own private cloud used for both: hosting services and performing computations.
In many cases, private clouds are not 100%...
235.
Accelerating personal computations with HTCondor: generating large numbers of events with GENIE
Mr
Nikita Balashov
(JINR)
01/10/2019, 17:15
Distributed Computing. GRID & Cloud Computing
Sectional
GENIE is one of the most popular MC neutrino event generators, widely used in essentially all neutrino accelerator experiments (e.g. NOvA, MINERVA). The tasks related to the development and optimization of the generator itself require creating a large number of events in the shortest possible time, to reduce the overall development time. The usage of large-scale distributed computing...
Mr
Mikhail Shitenkov
(JINR)
01/10/2019, 17:15
Data acquisition system (DAQ) for the Silicon Tracking System (STS) of BM@N (Dubna,Russia) experiment is described. The system will be based on double-sided microstrip silicon sensors of CBM type and will be commissioned in 2022.
DAQ system of BM@N STS will operate in a data-driven mode with a high throughput bandwidth (up to 300 Gb/s) in radiation hard environment and will transmit data ...
Mrs
Alena Kuznetsova
(JINR)
01/10/2019, 17:30
For several years, on SHELS (Separator for Heavy ELements Spectroscopy) was carried out more dozen experiments, aimed to investigation of characteristics of heavy elements and discover new isotopes. Perfect data acquisition system GABRIELA consists of a 10x10 cm2 DSSSD, 128x128 strips and 8 plats a 6x5cm2 DSSD, 32x32 strips. It detects 70% alpha particles and 90% gamma-quanta, by spontaneous...
Mr
Petr Vokac
(Institute of Physics of the Czech Academy of Sciences)
01/10/2019, 17:30
Distributed Computing. GRID & Cloud Computing
Sectional
HTCondor is a very flexible job management system, but for site administrators it is not always easy to come with optimal configuration to fulfill local policies and requirements. Everybody would expect that normal job execution follow fairshare configuration and recent resource usage, but with few additional quite natural requirements like minimum idle resources it can pretty fast become...
Dr
Aleksey Kurilkin
(JINR)
01/10/2019, 17:45
Cylindrical proportional counter assemblies are the main tool for observing neutron fluxes on many spectrometers. Optimization of the geometric parameters of the assemblies is of interest from the point of view of increasing the homogeneity of efficiency and simplifying the design of the detector system. Calculation of the efficiency of different variants of assembly designs consisting of 4 or...
Mr
Alexander Avrorin
(INR RAS)
01/10/2019, 17:45
Distributed Computing. GRID & Cloud Computing
Sectional
Baikal-GVD is a deep underwater gigaton-volume neutrino telescope currently under construction in Lake Baikal.
The detector is a spatially distributed lattice of photomultipliers, designed to register Cherenkov radiation from the products of neutrino interactions with the water of the lake.
When the trigger conditions are met, digitized photomultiplier waveforms are sent the shore, allowing...
Mr
Artem Petrosyan
(JINR)
01/10/2019, 18:00
Distributed Computing. GRID & Cloud Computing
Sectional
Implementation of COMPASS data processing in the distributed environment has started in 2015. Since the summer of 2017, data processing system works in production mode, distributing jobs to two traditional Grid sites: CERN and JINR. There are two storage elements, both at CERN: disk-storage EOS for short-term storage and tape-storage Castor for long-term storage. Processing management...
Dr
Dmitry Eliseev
(RWTH Aachen University)
01/10/2019, 18:00
The Drift Tubes (DT) system is the key detector in the region of the CMS barrel dedicated to the measurement of muon tracks. The signals from about 172000 DT cells must be fast and synchronously acquired to deliver the information about the hits. In the context of increasing the luminosity of the LHC in preparation for the Phase-II the DT system is being upgraded. The main focus of this...
Dr
Alexander Uzhinskiy
(JINR)
01/10/2019, 18:15
Distributed Computing. GRID & Cloud Computing
Sectional
Crop losses are the major threat to the wellbeing of rural families, to the economy and governments, and to food security worldwide. We present a multifunctional platform for plant disease detection (PDDP). PDDP consists of a set of interconnected services and tools developed, deployed, and hosted with the help of the JINR cloud infrastructure. PDDP was designed using modern organization and...
Ms
Yulia Ivanova
(VBLHEP JINR)
01/10/2019, 18:30
IDEAS ASICs are designed for the front-end readout of ionizing radiation detectors and produced by commercial fabless IC supplier – Integrated Detector Electronics AS (Norway). IDEAS ASIC is a multichannel (32/ 64/ 128) chips. Each chip channel has pre-amplifiers, shaper and multiplexed analogue readout. It’s necessary to configure internal chip registers, control analogue readout and transmit...
Dr
Alexander Uzhinskiy
(Dr.)
01/10/2019, 18:30
Distributed Computing. GRID & Cloud Computing
Sectional
Air pollution has a significant negative impact on various components of ecosystems, human health and ultimately causes significant economic damage. Air pollution is the fourth-largest threat to human health, behind high blood pressure, dietary risks and smoking. The aim of the UNECE International Cooperative Program (ICP) Vegetation in the framework of the United Nations Convention on...
Mr
Konstantin Dobrosolets
(Intel FPGAs)
01/10/2019, 18:45
Martin Galle
(Niagara)
02/10/2019, 09:00
Mr
Petr Vokac
(Institute of Physics of the Czech Academy of Sciences)
02/10/2019, 09:00
Plenary
The "Third Party Copy" (TPC) is crucial mechanism necessary to build distributed storage systems with efficient data transfers. TPC allows client to initiate direct transfer from one storage endpoint to the other party and majority of these transfers are currently done with GridFTP protocol. Uncertain future of Globus Toolkit which provides commonly used GridFTP implementation and new...
Mr
Andrey Kiryanov
(PNPI)
02/10/2019, 09:30
Plenary
In the framework of the PIK nuclear reactor reconstruction project, a PIK Data Centre was commissioned in 2017. While the main purpose of the Centre is storage and processing of PIK experiments data, its capacity is also used by other scientific groups at PNPI and outside for solving problems in different areas of science such as computational biology and condensed matter physics. PIK Data...
Dr
Tatiana Strizh
(JINR)
02/10/2019, 10:00
Plenary
The implementation of the MICC (Multifunctional Information and Computing Complex) project in 2017-2019 laid foundation for its further development and evolution taking into account new requirements to the computing infrastructure for JINR scientific research. The rapid development of information technologies and new user requirements stimulate the development of all MICC components and...
Dr
Michele Faucci Giannelli
(University of Edinburgh)
02/10/2019, 10:30
Plenary
The ATLAS physics programme relies on very large samples of simulated events. Most of these samples are produced with GEANT4 which provides a detailed simulation of the ATLAS detector. However, this simulation is time and CPU consuming and the available resources will not allow to keep up the MC production with the luminosity increase foreseen by the LHC. To solve this problem, fast simulation...
Mr
Alexander Wagner
(Deutsches Elektronen-Synchrotron, DESY)
02/10/2019, 11:30
Plenary
JOIN² is a shared repository infrastructure that brings together eight research institutes for the development of a full-fledged scholarly publication database and repository based on the Invenio v1.3 open source framework for large-scale digital repositories. Six JOIN² instances are already successfully deployed and two more institutes have joined seamlessly during the last year, resulting in...
Alexey PEREVOZCHIKOV
(Niagara)
02/10/2019, 11:30
Dr
Andrea Valassi
(CERN)
02/10/2019, 12:00
Plenary
The benchmarking and accounting of compute resources in WLCG needs to be revised in view of the adoption by the LHC experiments of heterogeneous computing resources based on x86 CPUs, GPUs, FPGAs.
After evaluating several alternatives for the replacement of HS06, the HEPIX benchmarking WG has chosen to focus on the development of a HEP-specific suite based on actual software workloads of the...
Mr
Andrey Kiryanov
(PNPI)
02/10/2019, 12:30
Plenary
The evolution of the computing facilities and the way storage will be organized and consolidated will play a key role in how this possible shortage of resources will be addressed by the LHC experiments. The need for an effective distributed data storage has been identified as fundamental from the beginning of LHC, and this topic has became particularly vital in the light of the preparation for...
Dr
Sergei Afanasiev
(JINR)
03/10/2019, 09:00
It is reported on the study of radiation resistance of silicon photomultipliers (SiPM) produced by HAMAMATSU. SiPM was irradiated in neutron fluxes of the reactor IBR-2 of JINR. The tested SiPM received fluence from 1012 up to 2x1014 of neutrons/cm2. Irradiated detectors investigated using a radioactive source and laser flashes at a temperature of -300C. The measurements showed that the SiPM...
Dr
Dmitry Kulyabov
(PFUR & JINR)
03/10/2019, 09:00
Machine Learning Algorithms and Big Data Analytics
Sectional
When considering any method customary to distinguish several structural levels: syntax, semantics, pragmatics. Syntax gives the ability to apply the method in question, semantics helps set tasks, and pragmatics answers the questions: what is the essence method, what is the place of the method among other methods. In this paper, the authors apply this approach to the consideration of thedeep...
Dr
Sergei Afanasiev
(JINR)
03/10/2019, 09:15
Created the experimental stand for the investigation radiation hardness of the plastic scintillators. Studied two types on polystyrene based samples (UPS-923A and SCSN-81) and two types of polyvinyltoluene based samples (BC-408 and EJ-260).
Studied the radiation damage of ESR and Tyvek reflectors, Paint+TiO2 and PMS+TiO2 coatings.
Dr
Alexander Kryukov
(SINP MSU)
03/10/2019, 09:15
Machine Learning Algorithms and Big Data Analytics
Sectional
The method of artificial neural networks is a modern powerful tool for solving various problems for which it is difficult to propose well-formalized solutions. These tasks are various aspects of image analysis.
This paper describes the use of convolutional neural networks (CNN) for the problems of classifying the type of primary particles and estimating their energy using images obtained...
Mikhail Titov
(Lomonosov Moscow State University)
03/10/2019, 09:30
Machine Learning Algorithms and Big Data Analytics
Sectional
Interactive visual analysis tools bring the ability of the real-time discovery of knowledge in large and complex datasets using visual analytics. It involves multiple iterations of data processing using various data handling approaches and the efficiency of the whole chain of the analysis process depends on the performance of chosen techniques and related implementations, as well as the...
Dr
Elena Litvinenko
(JINR)
03/10/2019, 09:30
Recently we have performed a comparative study of the characteristics of the data acquisition systems for the position-sensitive detectors with a delay line operating on the neutron instruments of the IBR-2 reactor. As a result, to have an optimal version of electronics we have chosen two directions of further development: the DeLiDAQ-2 system for high-flux measurements and the CAEN N6730...
Konstantin Androsov
(INFN Pisa (Italy))
03/10/2019, 09:45
Machine Learning Algorithms and Big Data Analytics
Sectional
The reconstruction and identification of tau lepton in semi-leptonic (hereinafter referred to as hadronic decays) are crucial for all analyses with tau leptons in the final state. To discriminate the hadronic decays of tau from all 3 main backgrounds (quark or gluon jets, electrons, and muons), maintaining a low rate of misidentification (below 1%) and at the same time with high efficiency on...
Dr
Michele Faucci Giannelli
(University of Edinburgh)
03/10/2019, 10:00
Machine Learning Algorithms and Big Data Analytics
Sectional
We present a Generative-Adversarial Network (GAN) based on convolutional neural networks that are used to simulate the production of pairs of jets at the LHC. The GAN is trained on events generated using MadGraph5 + Pythia8, and Delphes3 fast detector simulation. A number of kinematic distributions both at Monte Carlo truth level and after the detector simulation can be reproduced by the...
Mr
Stepan Vereschagin
(Joint Institute for Nuclear Research)
03/10/2019, 10:00
Time Projection Chamber (TPC) is the main tracker of the Multi-Purpose Detector (MPD). The detector will operate at one of beam interaction points of the collider NICA (Nuclotron-based Ion Collider fAcility) and it is optimized to investigate heavy-ion collisions in the energy range from 4 to 11 GeV/n. The TPC Front-End Electronics (FEE) will operate with event rate up to 7 kHz at average...
Mr
Yann Donon
(Samara National research University)
03/10/2019, 10:15
Machine Learning Algorithms and Big Data Analytics
Sectional
Linear accelerators are complex machines potentially confronted with significant downtimes periods due to anomalies and subsequent breakdowns in one or more components. The need for reliable operations of linear accelerators is critical for the spread of this technique in medical environment. At CERN, where LINACs are used for particle research, similar issues are encountered, such as the...
Mr
DUKE OEBA
(University of South Africa)
03/10/2019, 10:15
In this research, a comprehensive review of the current-voltage (I-V) measurements that were carried out on Schottky diodes fabricated on undoped and metal doped silicon is presented. The metals used are Aluminium and Zinc. A change in silicon conductivity due to the implantation was investigated by use of I-V technique at room temperature. The qualitative analysis of the I-V characteristics...
Mr
Christopher Kullenberg
(JINR)
03/10/2019, 10:30
Machine Learning Algorithms and Big Data Analytics
Sectional
The NOvA neutrino detector experiment is one of the first High Energy Physics experiments to use neural networks (specifically convolutional neural networks, or CNNs) extensively for its analysis. Results have been published using CNNs to categorize events based on the interaction type, and work is being done to use CNNs to reconstruct other event properties and kinematics. We will present an...
Mr
Egor Shchavelev
(Saint Petersburg State University)
03/10/2019, 10:45
Machine Learning Algorithms and Big Data Analytics
Sectional
Particle tracking is a very important part of modern high energy physics experiments. While the data stream from such experiments is increasing day by day, current tracking methods lack the ability to fit these amounts of data. In order to solve this problem, new effective machine learning algorithms are actively developed in the HEP.TrkX project for Large Hadron Collider detector and for the...
Mr
Vladislav Vorobyev
(MEPhI)
03/10/2019, 11:00
Machine Learning Algorithms and Big Data Analytics
Sectional
Large-scale coordinate-tracking detector TREK based on multi-wire drift chambers is being developed at the Experimental complex NEVOD in MEPhI to study near-horizontal dense muon bundles generated by ultra-high energy cosmic rays. The total area of the setup is 250 m2. The main goal of the installation is the solution of so-called “muon puzzle” – observed excess of the number of muons in...
Dr
Vito Palladino
(Imperial College London)
03/10/2019, 11:30
Triggering, Data Acquisition, Control Systems
Sectional
The high luminosity (HL) LHC will pose significant detector challenges for radiation tolerance and event pileup, especially for forward calorimetry, and this will provide a benchmark for future hadron colliders. The CMS experiment has chosen a novel high granularity calorimeter (HGCAL) for the forward region as part of its planned Phase 2 upgrade for the HL-LHC. Based largely on silicon...
236.
LOOT: Novel end-to-end trainable convolutional neural network for particle track reconstruction
Mr
Pavel Goncharov
(Sukhoi State Technical University of Gomel, Gomel, Belarus)
03/10/2019, 11:30
Machine Learning Algorithms and Big Data Analytics
Sectional
We introduce a radically new approach to the particle track reconstruction problem for tracking detectors of HEP experiments. We developed the end-to-end trainable YOLO-like convolutional neural network named Look Once On Tracks (LOOT) which can process the whole event representing it as an image, but instead of three RGB channels, we use, as channels in depth, discretized contents of...
Dr
Carlo Battilana
(INFN)
03/10/2019, 11:45
Triggering, Data Acquisition, Control Systems
Sectional
Drift Tubes (DT) equip the barrel region of the CMS muon spectrometer serving both as tracking and triggering detector. At High-Luminosity LHC (HL-LHC) they will be challenged to operate at background rates and withstand integrated doses well beyond the specifications for which they were initially designed. Longevity studies show that, though a certain degree of ageing is expected, a...
Ms
Anna Fatkina
(JINR)
03/10/2019, 11:45
Machine Learning Algorithms and Big Data Analytics
Sectional
GNA is a high-performance fitting framework developed for the data analysis of the neutrino experiments. The framework is based on data flow principles: an experiment model is represented by the computational graph of simple functions as separate nodes that are computed lazily.
In this work, we describe the GPU support library for GNA named cuGNA which uses CUDA toolkit. This library is...
Mr
Ivan Kadochnikov
(JINR)
03/10/2019, 12:00
Computations with Hybrid Systems (CPU, GPU, coprocessors)
Sectional
For simulating the dynamics of charged particles in electric and magnetic fields a particle-in-cell (PIC) method is often used. In it the position and velocity of each particle or superparticle is tracked, while the charge density and current density necessary to simulate particle interactions are computed on a stationary mesh. Several approaches are availible to integrating the particle...
Mr
Francesco Romeo
(Vanderbilt University)
03/10/2019, 12:00
Triggering, Data Acquisition, Control Systems
Sectional
The Pixel Luminosity Telescope (PLT) is a dedicated system for luminosity measurement at the CMS experiment using silicon pixel sensors arranged into "telescopes", each consisting of three planes. It was installed in CMS at the beginning of 2015 and has been providing online and offline luminosity measurements throughout Run 2 of the LHC (2015-2018). The online bunch-by-bunch luminosity...
Mr
Ivan Kadochnikov
(JINR, PRUE)
03/10/2019, 12:15
Machine Learning Algorithms and Big Data Analytics
Sectional
Record matching represents a key step in Big Data analysis, especially important to leverage dis-parate large data sources. Methods of probabilistic record linkage provide a good framework to estimate and interpret partial record matches. However, they require combining string distances for the compared records. That is, direct use of probabilistic record linkage requires processing the...
Mr
Leo Schlattauer
(Palacky University Olomouc, Czech Republic)
03/10/2019, 12:15
This talk will provide information about particle detection chain for the new Dubna gas-filled recoil separator-II. Detector chamber itself consists of time-of-flight system and implantation double-sided silicon strip detector surrounded by six single side strip detectors (overall 224 channels). Main part of the talk will be focused on PXI based Alpha & Gamma spectrometer which will handle...
Sergey Belov
(Joint Institute for Nuclear Research)
03/10/2019, 12:30
Machine Learning Algorithms and Big Data Analytics
Sectional
This paper discusses some approaches to the intellectual text analysis in application to automated monitoring of the labour market. The scheme of construction of an analytical system based on Big Data technologies for the labour market is proposed. Were compared the combinations of methods of extracting semantic information about objects and connections between them (for example, from job...
Mr
Victor Barashko
(University of Florida)
03/10/2019, 12:30
Triggering, Data Acquisition, Control Systems
Sectional
CMS Cathode Strip Chambers (CSC) are used for muon identification, measurements, and trigger in the forward direction. The system comprises 540 six-layer detectors with the overall sensitive area of about 6000 m^2 and has more than 500K electronics readout channels. Automated CSC Data Quality Monitoring system (CSC DQM) is an integral part of CSC commissioning and operation, as well as of the...
Ms
IULIIA GAVRILENKO
(Research Assistant, Plekhanov Russian University of Economics, Moscow, Russia)
03/10/2019, 12:45
Machine Learning Algorithms and Big Data Analytics
Sectional
Modern econometric modeling of macroeconomic processes usually meets certain challenges due to the incompleteness and heterogeneity of the initial information, as well as huge data volumes involved. In the work, on the example of modeling the level of employment in the regions of the Russian Federation was shown the effectiveness of joint using Big Data technologies and automated deployment of...
Mr
Nikolay Zernin
(JINR, FLNP, Department of Spectrometers Complex (DSC))
03/10/2019, 12:45
Triggering, Data Acquisition, Control Systems
Sectional
The High-resolution Fourier diffractometer (HRFD) is operated at the pulsed reactor IBR-2 of FLNP JINR allowing to carry out precision research of the crystal structure and microstructure of inorganic materials. The use of the fast Fourier chopper for intensity modulation of the primary neutron beam and the correlation method of diffraction data accumulation is a principal feature of the HRFD...
Mr
Alexey Altynov
(JINR)
03/10/2019, 13:00
Triggering, Data Acquisition, Control Systems
Sectional
The management and control system of the cold neutron moderator allows the engineering staff to monitor, in the process of its operation, the main parameters of the moderator, including the gas blower rotation speed, the consumption and temperature of helium, the vacuum in the jacket, and movement of pellets in the transport pipe. Today, complex upgrading of the cold neutron moderator at the...
Andrey Kotov
(Institute for Theoretical and Experimental Physics, Joint Institute for Nuclear Research)
03/10/2019, 13:00
Machine Learning Algorithms and Big Data Analytics
Sectional
Lattice Quantum Chromodynamics (QCD) is a well-established non-perturbative approach to the theory of strong interactions, QCD. It provides a framework for numerical studies of various complex problems of QCD. Such computations are numerically very demanding and require the most powerful modern supercomputers and algorithms. Within this talk, the lattice QCD simulations which are carried out...
Prof.
Sergei Nemnyugin
(Saint-Petersburg State University)
03/10/2019, 13:15
Machine Learning Algorithms and Big Data Analytics
Sectional
BM@N (Baryonic Matter at Nuclotron) is an experiment being developed at Joint Institute for Nuclear Research (Dubna, Russia). It is considered the first step towards implementing the fixed target program at NICA accelerating complex (Nuclotron-based Ion Collider fAcillty). One of the important event reconstruction procedure components is the monitoring of the beam trajectory and the vertex...
Mr
Vasilii Shvetsov
(FLNP)
03/10/2019, 13:15
Triggering, Data Acquisition, Control Systems
Sectional
In the Laboratory of Neutron Physics a new high-performance data acquisition system (DAQ) is being developed in the framework of the project on creation of a high-aperture backscattering detector (BSD) for the high-resolution Fourier diffractometer HRFD.
The designed increase in the BSD aperture of 12.5 times together with an increase in the neutron flux on the sample by a factor of 2-3...
Ms
Nadezhda Shchegoleva
(Saint Petersburg Electrotechnical University "LETI")
03/10/2019, 15:00
The paper examines the existing solutions design of various data warehouses. The main trends in the development of technologies are identified. An analysis of existing big data classifications allowed us to offer our own measure to determine the category of data. On its basis, a new classification of big data has been proposed (taking into account the CAP theorem). A description of the...
Mr
Ivan Bednyakov
(JINR)
03/10/2019, 15:00
Triggering, Data Acquisition, Control Systems
Sectional
The Precision Laser Inclinometer (PLI) represents new type of sensor that is able to measure the slope of a surface in an angular interval of angles (from 0.01 to 100 μrad) and in a frequency range of (10 μHz 1 Hz). The principal feature of the new inclinometer is the precision that can reach by last estimates 5 • 10−9 rad. The inclinometer is essentially a new kind of a two-coordinate...
Dr
Oleg Strekalovsky
(JINR FLNR)
03/10/2019, 15:15
Triggering, Data Acquisition, Control Systems
Sectional
The article describes the electronics for the time-of-flight two-arm fission fragments spectrometer COMETA-F. The time pick-off detector is comprised of thin electron conversion foil, electrostatic mirror and of two microchannel plates, supplied by Baspik, mounted in a chevron configuration. Mosaics of Si PiN diodes used to measure both energy and time-of-flight. The waveform of detected...
Evgeniy Stepanov
(Lomonosov Moscow State University)
03/10/2019, 15:15
In recent years there is a trend in a backbone traffic growth between Data Centers (DC). According to TeleGeography on the most demanded route across the Atlantic ocean, by the end of 2017 the share of such traffic had reached 75%, and in 2023 it will exceed 93%. It can be explained by the development of the global cloud service market, which is currently concentrated in North America and...
Mr
Dmitrii Monakhov
(JINR)
03/10/2019, 15:30
Triggering, Data Acquisition, Control Systems
Sectional
One of the promising directions in the development of robust control systems for complex physical facilities is the application of quantum computing for building intelligent controllers based on neural networks and genetic algorithms. The main advantage of the application of quantum technologies is the high speed of adaptation of the intelligent control system (ICS) to changing conditions of...
Dr
Haibo Li
(Institute of High Energy Physics,Chinese Academy of Sciences)
03/10/2019, 15:30
The LHAASO(Large High Altitude Air Shower Observatory) experiment of IHEP will generate 6 PB per year in the future. The massive data processing faces many challenges in the distributed computing environment. Take one for example, some sites may have no local HEP storage which makes the distributed computing unavailable. Our goal is to make the data accessible for LHAASO members from any...
Mrs
Veronika Zabanova
(FLNR, JINR)
03/10/2019, 15:45
Triggering, Data Acquisition, Control Systems
Sectional
March 25, 2019 the experimental hall of the Superheavy Elements Factory (SHE) was opened at the FLNR JINR and its basic facility – the DC-280 cyclotron was launched. The control system software of DC-280 is based on NI LabVIEW platform with the Datalogging and Supervisory Control (DSC) module. It consists of many software programs that perform corresponding tasks: device drivers, alarms...
Mr
Dmitriy Maximov
(Budker Institute of Nuclear Physics)
03/10/2019, 16:00
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
ATLAS electron and photon triggers covering transverse energies from 5 GeV to several TeV are essential to record signals for a wide variety of physics: from Standard Model processes to searches for new phenomena in both proton-proton and heavy ion collisions. Main triggers used during Run 2 (2015-2018) for those physics studies were a single-electron trigger with ET threshold around 25 GeV...
Mr
Egor Zadeba
(National Research Nuclear University MEPhI (Moscow Engineering Physics Institute))
03/10/2019, 16:30
Triggering, Data Acquisition, Control Systems
Sectional
The Unique Scientific Facility NEVOD represents a large experimental complex including a number of setups for investigations of various components of cosmic rays in a wide range of energies and zenith angles. The main setup of the complex is the Cherenkov water detector (CWD) of 2000 m3 volume filled with a dense lattice of 91 quasi-spherical measuring modules. CWD can perform like a 4π...
Dr
Dmitry Podgainy
(JINR)
03/10/2019, 16:30
Computations with Hybrid Systems (CPU, GPU, coprocessors)
Sectional
At present, the GOVORUN supercomputer is used for both theoretical studies and event simulation for the MPD experiment of the NICA megaproject. To generate simulated data of the MPD experiment, the computing components of the GOROVUN supercomputer, i.e. Skylake (2880 computing cores) and KNL (6048 computing cores), are used; data are stored on the ultrafast data storage system (UDSS) under the...
Dr
Antonio Policicchio
(Sapienza Università di Roma & INFN Roma)
03/10/2019, 16:45
Triggering, Data Acquisition, Control Systems
Sectional
Events containing muons in the final state are an important signature for many analyses being carried out at the Large Hadron Collider (LHC), including both standard model measurements and searches for new physics. To be able to study such events, it is required to have an efficient and well-understood muon trigger. The ATLAS muon trigger consists of a hardware based system (Level 1), as well...
Ms
Ran Du
(Institute of High Energy Physics)
03/10/2019, 16:45
Computations with Hybrid Systems (CPU, GPU, coprocessors)
Sectional
High Performance Computing (HPC) is playing a more important role to accelerate High Energy Physics (HEP) computing and scientific discovery. More HEP applications are willing to develop parallelism software to get much better performance. To help Physicists to get scientific output effectively, a Slurm cluster is constructed to provide HPC solutions for multiple applications including HEPS,...
Irina Enyagina
(Kurchatov Institute)
03/10/2019, 17:00
Computations with Hybrid Systems (CPU, GPU, coprocessors)
Sectional
This report presented the project of Digital Lab Platform implementation to organize storage, processing and analysis of heterogeneous neurobiological data (MRI, fMRI, EEG), obtained at Kurchatov Institute Resource Center of Nuclear Physical Research Methods "Cognimed". To this goal was created a new Digital Lab module - System "Neuroimaging", which allows to organize the interaction...
Dr
LIGANG XIA
(UNIVERSITY OF WARWICK)
03/10/2019, 17:00
Triggering, Data Acquisition, Control Systems
Sectional
The ATLAS experiment aims at recording about 1 kHz of physics collisions, starting with an LHC design bunch crossing rate of 40 MHz. To reduce the significant background rate while maintaining a high selection efficiency for rare physics events (such as beyond the Standard Model physics), a two-level trigger system is used.
Events are selected based on physics signatures such as the...
Rafal Bielski
(CERN)
03/10/2019, 17:15
Triggering, Data Acquisition, Control Systems
Sectional
Athena is the software framework used in the ATLAS experiment throughout the data processing path, from the software trigger system through offline event reconstruction to physics analysis. The shift from high-power single-core CPUs to multi-core systems in the computing market means that the throughput capabilities of the framework have become limited by the available memory per process. For...
Mr
Oleg Iakushkin
(Saint Petersburg State University)
03/10/2019, 17:20
Computations with Hybrid Systems (CPU, GPU, coprocessors)
Sectional
This paper focuses on integrating a Schrödinger smoke calculator GPGPU into existing interactive content display systems. The architecture of the three technology-based visualization approaches is compared:
- server-side rendering with ParaView
- server-side rendering with NoVNC
- local rendering on the client when processing model data on the server side.
- local rendering and model...
Nicolina Ilic
(CERN)
03/10/2019, 17:30
Triggering, Data Acquisition, Control Systems
Sectional
After the current LHC shutdown (2019-2021), the ATLAS experiment will be required to operate in an increasingly harsh collision environment. To maintain physics performance, the ATLAS experiment will undergo a series of upgrades during the shutdown. A key goal of this upgrade is to improve the capacity and flexibility of the detector readout system. To this end, the Front-End Link eXchange...
Ms
Vera Inkina
(NRNU MEPhI)
03/10/2019, 17:35
Computations with Hybrid Systems (CPU, GPU, coprocessors)
Sectional
Agent technologies currently play an increasingly important role in the information technology industry given its ability to learn and evolve, to solve information management problems, to employ data visualization and many other benefits. As a computer program, an agent deals with a challenge Internet users face every single day: to obtain reliable and effective data in the specific thematic...
Mr
Andrey Yudin
(JINR), Mr
Vladimir Khalin
(JINR)
03/10/2019, 17:45
Triggering, Data Acquisition, Control Systems
Sectional
The JINR Phasotron is the basic research facility of the Laboratory of Nuclear Problems of JINR. In 1985, a clinical complex of proton therapy of cancer patients was created on the basis of the facility. For the tasks of the complex, the 8th Phasotron tract is used. The tract consists of 15 elements: 2 rotary electromagnets and 13 electromagnetic lenses controlled by an automatic control...
Dr
Oksana Streltsova
(JINR)
03/10/2019, 17:50
Mr
Viktor Krylov
(Joint Institute for Nuclear Research (JINR))
03/10/2019, 18:00
Triggering, Data Acquisition, Control Systems
Sectional
There are many different ways to realize remote event viewer for detectors in physical experiments. Two different approaches for implementing of cross-platform 3D remote event display are discussed in details. Python, VTK Tools, Matplotlib and additional libraries were used to implement the event display application in 'Muon g-2' experiment (2017).
Modern Javascript, NodeJS, WebGL, ThreeJS...
Mr
Andrey Nechaevskiy
(JINR)
03/10/2019, 18:05
Computations with Hybrid Systems (CPU, GPU, coprocessors)
Sectional
The ability to propagate the uncertainty information during image processing can be very important in different applications. Detecting edges are an important pre-processing step in image analysis. Best results of image analysis extremely depend on edge detection. Edge detectors are intended to detect and localize the boundaries or silhouettes of objects appearing in images. Up to now many...
Mr
Danila Oleynik
(JINR LIT)
04/10/2019, 09:00
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
Increasing the number of big scientific projects which requires the processing of enormous amount of data in the last decade encouraging the computing community to find new solutions for data processing. BigPanDA project established in 2013 was devoted to the research of the possibility to have common solutions which will allow transparent usage of distributed heterogeneous computing resources...
Mrs
Evgenia Cheremisina
(Dubna International University of Nature, Society and Man. Institute of system analysis and management)
04/10/2019, 09:00
The article is devoted to e-learning technologies and adaptive educational technologies for training specialists on the basis of a digital platform.
The formation of a digital educational environment is a strategic government task. Currently, Russia is implementing a number of projects aimed at creating the necessary conditions for the development of the digital economy. To prepare competent...
Mr
Alexey Anisenkov
(BINP)
04/10/2019, 09:15
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
The Worldwide LHC Computing Grid infrastructure (WLCG) connects together compute and storage resources offered by about 200 computing centers affiliated with research institutes participating in the LHC scientific program. The main mission of such global collaboration is to provide computing and storage capacity to perform petabytes scale data processing and physics analysis. Following...
Mrs
Oksana Kreider
(Крейдер Оксана)
04/10/2019, 09:15
The article is devoted to the basic approaches to the organization of e-learning at the Dubna University. The priority project “Modern Digital Educational Environment in the Russian Federation” is intended to create conditions for systematic quality improvement and expansion of continuing education opportunities for all categories of citizens through the development of the Russian digital...
Dr
Alexander Kryukov
(SINP MSU)
04/10/2019, 09:30
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
Currently, a number of experimental facilities in the field of particle astrophysics of the mega-siences class are being built and are already operating in the world. An important feature of this class of projects is the huge flow of data produced, the participation of many organizations and, as a result, the distributed nature of data processing and analysis.
To meet similar requests in high...
Daria Priakhina
(LIT JINR)
04/10/2019, 09:30
The International School on Information Technologies “Data Science” was created at the State University “Dubna”. It ensures training of IT specialists for the development of computing of megaprojects (NICA, PIC, LHC, FAIR, SKA, etc.), Big Data analytics (Data Science), digital economy and other promising directions. Educational programs of the International IT School are formed taking into...
Nadezhda Tokareva
(Dubna Univeristy)
04/10/2019, 09:45
Today it is crucial to train Data Scientists that serve as the bridge between cutting-edge technology and digital economy needs. It is essential to teach them to improve access to Big Data, analytics tools, innovative research methods. They should be able to design and deploy Data GRID clusters use and advise on such tools as machine learning, natural language processing, web scraping, big...
Mr
Alexander Bychkov
(LHEP)
04/10/2019, 09:45
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
The detailed simulation of electron drifting in the MPD TPC was made
with CERN Garfield toolkit for the simulation of gas particle detectors.
For electron transporting were used the 10% Ar + 90% CH4 gas mixture
with impact of corresponding magnetic and electric fields from MPD TPC
Technical Design Report (rev. 07). Ionization processes were
investigated in the wire planes area near...
Nadezhda Tokareva
(Dubna Univeristy)
04/10/2019, 10:00
The intensive development of computing technology and distributed computing systems technologies has led to the emergence of new active and interactive forms of education in which students have the opportunity of wide access to electronic educational resources. At the same time, new threats and vulnerabilities have emerged, which can be classified into 3 groups: integrity and confidentiality...
Mr
Timofei Galkin
(NRNU MEPhI)
04/10/2019, 10:00
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
The new era of scientific research brings an enormous amount of data for scientists. These complex and multidimensional data structures are used for the verification of scientific hypothesis. Exploring such data by researchers requires the development of new technologies for its efficient processing, investigation and interpretation. Intellectual data analysis and statistical methods are...
Mr
Anton Teslyuk
(NRC "Kurchatov Institute")
04/10/2019, 10:15
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
Modern Free Electron Laser (FEL) facilities generate huge amounts of data and require sophisticated and computationally expensive analysis. For example, recent experiments at European XFEL have generated more than 360 Tb of raw data in five days. Efficient analysis of this data is a challenging task which requires productive use of existing methods and software for data analysis over scalable...
Mrs
Kseniia Klygina
(Joint Institute for Nuclear Research, InterGraphics LLC)
04/10/2019, 10:15
Experiments have always been an integral part of the experimental sciences, and are one of the most effective ways to get first-hand knowledge about certain concepts and principles in a study field such as nuclear physics.
The Virtual Lab project (VLab) has a history of several years and now project results are used in the educational process universities in 13 countries. The first stage...
Mrs
Nataliya Vorontsova
(Joint Institute for Nuclear Research (JINR))
04/10/2019, 10:30
One of the ways to develop the school education in Russia is the proposal to introduce elective courses in priority development areas as pre-profile training. These courses are encouraged to be used in extracurricular activities.
Over the year, an elective course “Nuclear Physics” was developed for high school students, including a traditional textbook, a computer application and various...
Mr
Nikolay Voytishin
(LIT)
04/10/2019, 10:30
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
The reconstruction of charged particle trajectories in the CMS endcap muon system is based on hits detected by the Cathode Strip Chambers (CSCs). The reconstruction procedure for these multilayer detectors can be divided into two main parts: the reconstruction of hits on each layer, and the assembly of track segments within the chambers from the reconstructed hits. At the HL-LHC the increased...
Prof.
Alexander Degtyarev
(Professor)
04/10/2019, 10:45
The emergence of a new series of experiments in nuclear physics with large amount of data streams requires a review of the general idea of computing. The well-established concept of LHC data processing involves a huge amount of data in which rare events need to be highlighted. Such an approach is determined by the physics of the phenomenon under study with low densities and high energies. New...
Ms
Victoria Belaga
(JINR, Dubna University)
04/10/2019, 10:45
Today open online courses have shown their effectiveness for further education in various fields.
We have created new courses devoted to JINR research projects: NICA/MPD, SHE Factory, applied researches with heavy ions and neutrons.
The open educational portal of JINR is being developed for university students of the JINR Member States and Associate Members, young specialists and science...
Mr
Lukas Mizisin
(Institute of Experimental Physics, SAS, Kosice, Slovakia)
04/10/2019, 11:20
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
Directed bond percolation problem is an important model in statistical physics. It provides a paramount example of non-equilibrium phase transitions. Up to now its universal properties are known only to the second-order of the perturbation theory. Here, our aim is to put forward a numerical technique with critical exponents of directed percolation universality class can be calculated to the...
Dr
Iurii Sakharov
(Dubna International University for Nature,Society and Man)
04/10/2019, 11:20
Mr
Andrey Baginyan
(ccnp)
04/10/2019, 11:35
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
The article presents a scheme of the data transmission network providing the commissioning of the DC-280 accelerator complex. The main indicators of communication channel characteristics are given. Discusses the calculations settings of network devices that provide secure access to network resources. Shown settings for transmission of unicast and multicast packets and IPv4 protocol. An...
Irina Filozova
(JINR)
04/10/2019, 11:45
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
The last improvements and updates of the Geometry Database (Geometry DB) for the CBM (Compressed Barionic Matter) experiment are described. The geometry DB is an information system that supports the CBM geometry. The main purpose of Geometry DB is to provide the storage of the CBM geometry, to supply the convenient tools for managing the geometry modules assembling various versions of the CBM...
Ms
Olga Sedova
(Saint-Petersburg State University)
04/10/2019, 11:55
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
In this paper, we consider the problem of calculating the stresses of a sphere with surface defects for a set of different initial conditions of the problem at hand. Varying materials, size and shape of defects are considered. We perform computations in a system that we developed form open source components that combine CAD and CAE functions inside one user interface. We compare the operation...
Ms
Nataliia Kulabukhova
(Saint Petersburg State University)
04/10/2019, 12:05
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
This article provides an overview of the currently existing technologies in the field of Self-Sovereign Identity. Special attention is paid to the zero-knowledge proof and how it can be used in distributed ledgers technologies. The work shows how to make a new user anonymous, but at the same time provide him with all the features without decreasing the level of trust to him. It will be the...
Dr
Konstantin Gertsenberger
(JINR)
04/10/2019, 12:20
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
The acquisition of experimental data is an integral part of all modern high-energy physics experiments. During experiment sessions, not only the data collected from the detectors are important for understanding the produced events, but also the records in logbooks that are written by the shift crew and describe operating modes of various systems and detectors and different types of events. The...
Mrs
Marina Golosova
(National Research Center "Kurchatov Institute")
04/10/2019, 12:35
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
HENP experiments, especially the long-living ones like the ATLAS experiment at the LHC, have a diverse and evolving ecosystem of information systems that help scientists to organize research processes -- such as data handling (including data taking, simulation, processing, storage, and access), preparing and discussion of publications, etc. With time all the components of the ecosystem grow,...
Anastasiia Kaida
(National Research Tomsk Polytechnic University, School of Computer Science & Robotics)
04/10/2019, 12:50
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
Nowadays, heterogeneous metadata integration has become a widespread objective. Whenever it is addressed, there are numerous tasks to be solved, such as data sources analysis and storage schema development. No less important one is the development of automated, configurable and highly manageable ETL (data Extraction, Transformation, and Load) processes, as well as the creation of tools for...
Mr
Nicolai Iliuha
(RENAM)
Distributed Computing. GRID & Cloud Computing
Sectional
The main focus of the advanced research infrastructures is to offer huge volumes of data to international research collaborations with hundreds of participants and their simultaneous need for unique, extremely high-performance computing facilities and sharing data through intense use of the cloud computing paradigm. GÉANT Association, together with its National Research and Education Network...
Ms
Tatiana Tyupikova
(JINR)
Innovative IT Education
Sectional
It is impossible to imagine life in the modern world without photographs. A photograph reflects history of a man or an organization. The paper is devoted to design and implementation of the photo archive at JINR. It demonstrates the developed electronic photo archive that provides storage of digitized negatives and their description, separation of access rights to information objects of the...
Mr
Viktor Kotliar
(MIPT)
Distributed Computing. GRID & Cloud Computing
Sectional
Computing Center of the Institute for High Energy Physics in Protvino provides computing and storage resources for various HEP experiments (Atlas, CMS, Alice, LHCb) and currently operates more than 150 working nodes with around 2700 cores and provides near 2PB of disk space. All resources are connected through two 10Gb/s links to LHCONE and other research networks. IHEP computing center has...
Mr
Viktor Kotliar
(IHEP)
Research Data Infrastructures
Sectional
An anomaly or an outlier in related multidimensional data can seriously affect on their analysis. Discarding anomalies or their ignoring may lead to incorrect results. A study was carried out by using the flexible PyOD tool which are designed for anomalies searching in multidimensional data. This study using various techniques or python software library modules provided by PyOD. The search...
Dr
Nikolay Gorbunov
(Jinr)
Detector & Nuclear Electronics
Sectional
Electronic base, designed for use in high radiation fields, such as particle accelerators, should be radiation hardened. To study the radiation resistance of such electronic components, various sources of ionizing radiation are used, with the use of which the components of the systems under study are subjected to prolonged exposure to fluxes of high-energy particles. This process often takes...
Irina Enyagina
(Kurchatov Institute)
Computations with Hybrid Systems (CPU, GPU, coprocessors)
Sectional
The report will present a project of developing the system, based on the Kurchatov Institute Computing Center, provides the automatically processing and analysis of experimental data, obtained on the equipment of the Kurchatov Institute Resource Center (Tomograph Siemens Verio Magnetom 3T).
In addition to the processing and analysis module, the system also includes a database, that...
Eygene Ryabinkin
(NRC "Kurchatov Institute")
Distributed Computing. GRID & Cloud Computing
Sectional
We present the current status of the wide-area networking for Russian RDIG/WLCG-sites in context of LHCOPN, LHCONE, research & educational networks: M/Light traffic exchange in Moscow, local and international links. Detailed traffic statistics and trends overview for the IPv4 and IPv6 traffic will be presented; they will be supplemented with the current policies and traffic handling methods. ...
