Dénes Molnár

Publication: Testing and improving shear viscous phase space correction models

Abstract: The calculation of self-consistent shear viscous corrections closely follows the standard determination of shear viscosity from covariant Boltzmann kinetic theory. The collision term is linearized in the deviation from local thermal equilibrium for each particle species, while the free streaming term is taken at zeroth order in the deviation, i.e., p · ∂f → p · ∂feq. This leads to an integral equation for the shear corrections. It can be shown that for each species i the corrections can be reduced to a one-dimensional function χi(|p|) that only depends on the magnitude of the particle momentum in the fluid rest frame.The integral equation turns out to be equivalent to a variational problem for a functional that is quadratic in the χi, which then becomes a linear algebra maximizatio...

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László Ábel Somlai (2016.04.01 - 2016.07.01)
Supervisor: Mátyás Vasúth

Publication: The effect of the cosmological constant on a quadrupole signal in the linearized approximation

Abstract: In the year 2015, the first observation of gravitational wave (GW150914) was detected by the LIGO-Virgo group. Its waveform emanating from the inward spiral and merger of a pair of black holes matched the predictions of general relativity. The continuous development of the detectors give the opportunity for detecting more subtle effects, of which one is the cosmological constant. It seems reasonable to determine the effect of it for the known waveforms in order to extend the number of the searched parameters.

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István Csabai PhD (2018.08.01-2018.12.31)

ELTE, The Department of Physics of Complex Systems

Publication: StePS: A Multi-GPU Cosmological N-body Code for Compactified Simulations

Abstract: Although the LCDM model has achieved remarkable success, however, in recent years the accuracy of the measurements has reached the limit where parameter estimates from various observations, such as the Hubble constant determined from both CMB and supernovae, are incompatible with it. Recently we have developed a model, based on N-body simulations, which is able to resolve this tension by taking better account of complex structure formation and without introducing dark energy. During the project we will develop a new type of $N$-body simulation algorithm ,,StePS" that overcomes limitations of current methods through mapping the infinite spatial extent of the universe onto a compact manifold. Specifically, we use stereographic projection onto the surface of a four dimensional sphere. The discretization of this surface leads to a systematic multi-resolution simulation with unprecedented dynamic range for given computational resources and perfect consistency with the Newtonian force law. Our approach retains the best features of multipole solvers and AMR simulations through a continuous, mathematically consistent refinement of scales toward the center of the simulations and constant angular resolution of distant fluctuations. The algorithm is ideal for GPUs, harnessing a recent cost effective numerical hardware revolution. A prototype of our algorithm has been successfully tested against GADGET, the early version of the code is open source, and available on GitHub, and the paper on the preliminary results R\'acz et al. (2018) has been submitted to MNRAS.

Károly Kubicskó, Ödön Farkas

ELTE, The Department of Organic Chemistry

Publication: Quantum chemical (QM:MM) investigation of the mechanism of enzymatic reaction of tryptamine and N,N-dimethyltryptamine with monoamine oxidase A

Abstract: In our study we suggest a chemical mechanistic process between the biogen, strong hallucinogenic trace amine DMT and monoamine oxidase A (MAO-A) enzyme. We found that the hydride ion transfer from the alpha carbon atom of the amine is only favourable, when the flavin ring (in the enzyme) is protonated at a specific position. Our resuts are in accord with previous mechanistic studies in the research of metabolism of neurotransmitters by monoamine oxidase.

Mridula Damodaran

Publication: Testing and improving shear viscous phase space correction models

Abstract: When modeling a heavy ion collision, hydrodynamics is not applicable in the regime where deviations from local thermal equilibrium are not guaranteed to be small. Further, the fact that experiments detect particles warrants a switch from a fluid dynamical picture to a particle picture. One approach to modeling particles with non-equilibrium dynamics utilizes the relativistic Boltzmann Transport Equation (BTE). The BTE describes the evolution of particle phase space distributions via collision terms for various scattering processes. While the elastic 2 → 2 collision terms are useful to study the approach to thermal equilibrium, the radiative 2 ↔ 3 collision terms are necessary to study the approach to chemical equilibrium in systems with changing particle number.

The existing...

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Michał Bejger (2017.08.01-2019.08.31)

Nicolaus Copernicus Astronomical Center, Observatoire de Paris

Publication: Astronomical Distance Determination in the Space Age. Secondary distance indicators

Abstract: The aim of this project is to develop a production-ready version of the data-analysis pipeline to search for gravitational-wave signals from the network of Advanced Era LIGO and Virgo interferometric detectors. The algorithm developed by the Polish Virgo-POLGRAW group aims at finding almost-monochromatic gravitational-wave signals from rotating, non-axisymmetric, isolated neutron stars. The detection of such signals will open an exciting possibility of studying the physics of neutron-stars’ interiors, its elastic properties and structure of the crust. Joint project within the Hungarian high-performance computing experts and gravitational-wave experts will be beneficial for both sides and will initiate long-term collaboration in this field.

Peter D. Anderson

Publication: Loop equations and bootstrap methods in the lattice

Abstract: Monte Carlo lattice simulations of pure Yang-Mills theory, such as the one proposed here, have been shown to be ideally suited for GPU computations since all changes in the action are local (as opposed to dynamical fermions that are non-local in the lattice simulation). The action is written in terms of link variables and only depends on nearest neighbors. Thus any lattice site with even (or odd) parity can be run simultaneously. The link is an element of the gauge group SU(NC) and acts as a parallel transporter from one site to the next site. A Wilson Loop is defined as the trace of a product of links associated with a closed path in the lattice. Its expectation value is measured by averaging over a large number of statistically independent configurations that are obtained in the simulation...

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PhD. Gábor Marschalkó (2016.03.01. - 2016.09.30.)
Supervisor: Emese Forgács-Dajka

Abstract: To study the light variations of eclipsing binaries one need to create an ensemble of model light curves. Hence these models contain numerous parameters solving these problem needs significant computing resources, so the parallelization seems quite obvious. During this project we would like to parallelize our code to an extent, temporarily determining the orbits via Kepler equation using Newton-Raphson method and the surface light intensity without feedback (e.g light reflexion) effects.

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János Sztakovics (2016.03.01. - 2016.08.31.)
Supervisors: Emese Forgács-Dajka, Tamás Borkovits

Abstract: About 50 % of stars are part of binary, or multiple systems. Investigations of components of these systems allows us to determine some physical parameters of them. By observing eclipsing binaries we can calculate these parameters in more details besides others. Analyzing and modelling lightcurves of eclipsing binaries are important to get clearer picture of the individual systems (components, orbits, etc.). To define eccentricities and arguments of periastron we should measure the duration of eclipses, and the relative position of secondary minimum due to the primary minimum in phase. I would like to process the huge amount of data of the space missions with fast and precise algorithms. The goal is to further develop the single-thread program to C and CUDA languages to measure th...

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Tamás Hajdu (2016.03.01. - 2016.08.31.)
Supervisors: Emese Forgács-Dajka, Tamás Borkovits

Abstract: More than the half of the stars around us are part of a binary or multiple system, therefore their observation and examination plays a mayor role in developements of star formation and stellar evolution models. Thanks for today's accurate photometric measurements, so many effects can be detected based on eclipse timing variation. Such as light-travel-time effect, apsidial motion and dynamical effect. During my work I will use Kepler and K2 databases. To determine the time of each eclipse I will use Monte-Carlo- and Bootstrap-method. By these methods I will get much more accurate O-C data than before. I will use a parallel programing architecture, which is based on my previous C code, to reduce the running time. The results will be screened to collect those which indicate the presence...

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Hegedűs Tamás (2018.03.01-2019.08.31)

MTA-SE Molecular Biophysics Research Group, Hungarian Academy of Sciences

Publication: Quantitative comparison of ABC membrane protein type I exporter structures in a standardized way

Abstract: Cystic fibrosis is a fatal inherited monogenic recessive disease affecting several organs in our body (1:3000 prevalence in the Caucasian population). The disease is associated to the absence of functional CFTR (Cystic Fibrosis Transmembrane Conductance Regulator) chloride channel from the apical membrane of epithelial cells. Over 2,000 mutations are known covering all regions of the protein and the most frequent mutation is the deletion of F508 (ΔF508). This position is located in the N-terminal nucleotide binding domain (NBD1) resulting in the misfolding of this segment. We employ molecular dynamics simulations to detect differences between the dynamics of the wild type, ΔF508, and other mutant forms of NBD1. The simulations will be accelerated by GPU technologies that allow more and longer simulations than before, thus a more exhaustive characterization of the NBD1 conformational space. Our results will contribute to both drug development and understanding the effects of mutations at the atomic level.

Ernő Dávid, Dávid El-Saig and Zoltán Lehóczky (2019.08.31 - 2019.12.31)

Wigner RCP és Lombiq Technologies Ltd. cooperation

Abstract: Hastlayer by Lombiq Technologies allows software developers of the .NET platform to utilize FPGAs as compute accelerators. It converts standard .NET constructs into equivalent hardware implementations, automatically enhancing the performance while lowering the power consumption of suitable algorithms. Developers keep writing .NET programs as usual, no hardware design knowledge is required.

Hastlayer needs to support FPGA boards specifically, and formerly it only supported one that was suitable for testing and creating proof of concepts, but not for high performance computing scenarios. The work ongoing in collaboration with Wigner RCP is about making it support high-performance FPGAs of the Microsoft Catapult platform. Wigner's task is to create the FPGA-side hardware framework that hosts the automatically generated hardware cores created by Hastlayer.

Tuan Máté Nguyen (2016.09.01 - 2016.10.31)
Supervisor: Gergely Gábor Barnaföldi

Abstract: The Hough-transform is a frequent data analysis and pattern recognition task. It can be used to detect lines in noisy data or decide whether a set of points are on a single or multiple lines and if so, what are the parameters of such lines. The principle of the operation is that the incoming discretized values (bins or pixels) are mapped to lines, that in turn are drawn on an image, then select the points where the most lines intersect each other. The coordinates of these crossing points can be transformed into the slope and intersect values of the line passing through the points. If the input values have errors, we need to generalize the algorithm by drawing stripes instead of thin lines. The transformation is in itself computationally intensive, but if we’d like to process lots of data with i...

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Richárd Forster (2017.01.01-2019.08.31)

CERN

Publication: Parallel Louvain Community Detection Optimized for GPUs

Abstract: Network analysis became a fundamental tool in understanding the structural and functional organization of the brain. The connectome of the cerebral cortex, the most complex part of the brain, is best known at the large scale, which, as a network, represents the connectivity between the different cortical areas or sub-regions. However, in reality brain areas and sub-regions are connected via numerous parallel pathways formed by populations of neurons residing within the areas, sub-regions. This mesoscale, or so called columnar network architecture of the cerebral cortex is not known, largely because of serious experimental limitations. However, graph theory provides some tools to approach the blueprint of the mesoscale cortical network.

The goal of the Neuroscience project is the application of graph theory and network analytic tools to explore the hidden structure of the large scale cortical network relevant to the mesoscale organization. To this end we study the network of the combinations of the incoming and outgoing edges of the different areas, which represent the interactions within the cortical network forming the interaction network. Considering cortical functioning, interactions or transfer between the inputs and the outputs is the basic operation of the areas. The interaction network is the two-hop representation of the network, which can be computed by graph derivations. Importantly, the derived network preserves the topological features of the original network but increases the size by orders of magnitude. The collaboration has been focusing on the exploration of the architecture of the interaction network. We aim to understand both the global organization of the interaction network as well as the role of the particular areas in regard to the specific pathways of the cortical signal flow.

collspotting.cern.ch (Accessible only with a CERN account)

Sándor Zsebők (2018.03.01-2019.08.31)

Department of Systematic Zoology and Ecology

Publication: Automatic bird song and syllable segmentation with an open-source deep-learning object detection method – a case study in the Collared Flycatcher (Ficedula albicollis)

Abstract: In the last two decades, many bioacoustic projects were conducted in the Department of Systematic Zoology and Ecology (Eötvös Loránd University). The works mainly related to the study of the structure and function of birdsong, the echolocation of bats and the development of passive acoustic methods to measure biological diversity in nature.
In our current research, we study the cultural evolution of the song of collared flycatcher based on large amount of acoustic data recorded in the nature. For that, first we have to find the songs in the recordings, then we have to segment the smallest units in the song (so called syllables), and at the end we have to cluster the syllables resulting a universal syllable library. This is a very time-consuming process that is intended to be done by computers. For that we would like to teach Deep Neural Networks. We possess hundreds of hours of recordings, thousands of songs and more than 150.000 manually segmented and clustered syllables. We would like to teach convolutional networks to detect the songs and syllables on raw recordings based on their spectrographic representations. This teaching process needs large capacity GPUs to be effectively done through parameter tuning. We would like to use the ready models for predicting songs and syllables in new recordings. Both this prediction and the clustering of syllables can be done on personal computers, so the application would only call for the training of the deep neural nets. The developing these models would facilitate all the projects that can be done only on large amount of collared flycatcher songs, and so it would open up new scientific directions to answer questions related to the evolution of animal acoustic communication.

János Endre Maróti (2016.04.01 - 2016.07.01)
Supervisor: Mátyás Vasúth

abstract: We can detect gravitational waves by binary systems only before the collision. The development of the detectors give opportunity of more subtle detections. Based on these binary systems' signal and these detectors' signal-to-noise ratio we can determine the binary systems' parameters that we can detect at a specific time before the collision.

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Balázs Kacskovics (2016.04.01 - 2016.07.01)
Supervisor: Mátyás Vasúth

Abstract: The supermassive binary black hole system OJ 287 gives a unique possibility to examine gravitational effects to high accuracy. The quasiperiodic light variations of this object have been observed for more than one century. Based on the times of these outbursts the orbital elements and other parameters of the system were determined to high accuracy. Using recent assumptions on the spins of the components we study the effects of spin contributions to the orbit up to 3.5 PostNewtonian order.

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Márton Vargyas (2016.09.01-2018.08.31)

git: TPCQA, HVsoft doi: 10.1016/j.nima.2018.06.084 arxiv: 1805.03234

Abstract: The task of the Budapest Advanced Quality Assurance (QA-A) Centre is to test and classify the Gas Electron Multiplier (GEM) foils, which would be an integral part of the upgrade of ALICE's Time Projection Chamber (TPC) detector. To classify the foils we use the known correlation between their hole size and electrical properties. We take high definition images of the foils in a clean room equipped with an X-Y-Z robot and telecentric lens (images of the foil's two sides can take up to 50GB), then we recognize these holes with a GPU-accelerated software, which identifies every hole. Then we decide the fate of the foil, either it would be built into the detector allowing continous readout, making it a 3D camera or we return it to the manufacturer.