Különleges nukleáris effektusok tanulmányozása nehézion ütközésekben a CERN LHC ALICE kísérletben  részletek

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Projekt adatai

 
azonosító
135515
típus K
Vezető kutató Barnaföldi Gergely Gábor
magyar cím Különleges nukleáris effektusok tanulmányozása nehézion ütközésekben a CERN LHC ALICE kísérletben
Angol cím Study of exceptional nuclear effects in heavy ion collisions at the CERN LHC ALICE experiment
magyar kulcsszavak nehézionfizika, ALICE, Nagy Hadronütköztető (LHC), nagyenergiás nukleáris effektusok
angol kulcsszavak heavy-ion physics, ALICE, Large Hadron Collider (LHC), high-energy nuclear effects
megadott besorolás
Részecskefizika (Műszaki és Természettudományok Kollégiuma)75 %
Magfizika (Műszaki és Természettudományok Kollégiuma)25 %
zsűri Fizika 1
Kutatóhely RMI - Elméleti Fizika Osztály (HUN-REN Wigner Fizikai Kutatóközpont)
résztvevők Bencédi Gyula
Bíró Gábor
Boldizsár László
Colella Domenico
Dávid Ernő
Dudás Bence
Frajna Eszter
Gyulassy Miklós
Horváth Anna
Jólesz Zsófia
Kiss Tivadar
Kőfaragó Mónika
Mishra Aditya Nath
Molnár Dénes
Neelkamal Mallick
Paic Guy
Papp Gábor
Prasad Suraj
Szigeti Balázs Endre
Varga Dezső
Varga Zoltán
Vértesi Róbert
projekt kezdete 2020-10-01
projekt vége 2024-12-31
aktuális összeg (MFt) 47.744
FTE (kutatóév egyenérték) 46.22
állapot aktív projekt





 

Zárójelentés

 
kutatási eredmények (magyarul)
Jelen projekt kiemelkedően hozzájárult a CERN Nagy Hadronütköztető (LHC) ALICE detektorának fejlesztéséhez és üzemeltetéséhez. Méréseket végeztünk az ALICE kísérlettel, adatelemzéseket és elméleti tanulmányokat folytattunk, amelyek célja a erősen kölcsönható anyag tulajdonságainak megértése volt. Sikeres detektor R&D tevékenységünk elősegítette a jelen LHC Run-3 időszakának elemzéseit valamint a Long Shutdown 3 utáni időszakban az adatgyűjtést. A projekt során az ALICE HMPID, TPC, ITS3, valamint az adatgyűjtő és adatfeldolgozó rendszerének (DAQ) fejlesztését végeztük el. A modern lpGBT technológiával kétszeresére növeltük az adatgyűjtés sávszélességét ami nélkülözhetetlen az ALICE régebbi aldetektorainak és a most épülő FoCal és ITS3 aldetektorok optimális működéséhez. Az ITS3 (ALPIDE) technológiáját alkalmaztuk a hadrontherápiát segítő proton-CT fejlesztésben. A Wigner Adatközpontban létrehoztunk az ALICE adatelemzésekhez dedikált Analysis Facilityt. Az eseményaktivitás-osztályozásának új módszerét alkalmazva, több LHC-energián megmértük és elemeztük a kis- és nagy ütközési rendszerekben mért adatokat. Modelleztük a hadronok keletkezését a HIJING++ Monte Carlo eseménygenerátorral amelybe modern gépi tanulási modulokat is beépítettünk. Meghatároztuk könnyű és nehéz hadronok esetében az eseménytér geometriai szerkezetét és téridőbeli fejlődését. Felfedeztük az O-O ütközésekben a kezdeti magszerkezet hatását.
kutatási eredmények (angolul)
This project contributed to the CERN ALICE experiment of the Large Hadron Collider with detector R&D, measurements, data analysis, and theoretical studies aiming to understand of the properties of the strongly interacting matter. Our successful detector R&D activities support strongly the sucess of the future data taking and data analysis for the Run-3 period of the LHC and beyond Long Shutdown 3. We participated in ALICE R&D of the HMPID, TPC, ITS3 and the ALICE’s DAQ system. With the modern lpGBT technology we improved the data collection performance for ALICE, FoCal and ITS3 with a factor of 2. ALPIDE technology of ITS3 was transferred to medical application as a proton-CT. We built a dedicated Analysis Facility in the Wigner Datacenter. We recorded data with the ALICE detector, and data were analyzed for small and large collisional systems using the novel event classification method. Hadron production was modeled using the HIJING++ Monte Carlo event generator and characterized also by modern machine learning modules. The geometrical structure and the spacetime evolution of light vs. heavy flavour hadron production. We discovered an effect of the nuclear structure in O-O collisions
a zárójelentés teljes szövege https://otka-palyazat.hu/download.php?type=zarobeszamolo&projektid=135515
döntés eredménye
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Közleményjegyzék

 
R. Vértesi for the ALICE Collaboration: The ALICE 3 detector concept for LHC Runs 5 and 6 and its physics performance, Submitted to EPJ ST, 2025
R. Vértesi, Z. Varga: Connection of event shapes to the heavy-flavor baryon enhancement, Proceedings of ISMD 2024, 2025
Róbert Vértesi, Gyula Bencédi, Anett Misák, Antonio Ortiz: Probing the interaction of semi-hard quarks and gluons with the underlying event in light- and heavy-flavor triggered proton-proton collisions, Eur. Phys. J. A Volume 57, 301, 2021
Balázs Endre Szigeti, Imre Ferenc Barna, Gergely Gábor Barnaföldi: The Formulation of Scaling Expansion in an Euler-Poisson Dark-Fluid Model, Universe 9 (2023) 431, 2023
G. Bíró, J. Zsófia, Á. Sudár, G.G. Barnaföldi: Proton Computed Tomography Based on Richardson-Lucy Algorithm, Submitted to Physics in Medicine and Biology, 2024
R. Vértesi et al [Alice Coll]: Measurement of the radius dependence of charged-particle  jet suppression in Pb-Pb collisions at sNN​ = 5.02 TeV, CERN-EP-2023-027, Phys. Lett. B 849 (2024) 138412, 2024
L. Gyulai, G. Bíró, R. Vértesi, G.G. Barnaföldi: How far can we see back in time in high-energy collisions using charm hadrons?, J.Phys.G 51, 8, 085103, 2024
L. Gyulai G. Bíró, R. Vértesi, G.G. Barnaföldi: Evolution of the hot dense matter at LHC energies through light and heavy-flavor hadrons using non-extensive thermodynamics, Accepted in Int. J. of Modern Physics A, 2025
A. Horváth, E. Forgács-Dajka, G.G. Barnaföldi: The effect of multiple extra dimensions on the maximal mass of compact stars in Kaluza-Klein space-time, Accepted in Int. J. of Mod. Physics A, 2024
G. G. Barnaföldi, N. Mallick, S. Prasad, R. Sahoo, A.N. Mishra: A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies, Accepted in International J. of Modern Physics A, 2024
G. Bíró, G. Papp, G.G. Barnaföldi: Estimating event-by-event multiplicity by a Machine Learning Method for Hadronization Studies, Submitted to International J. of Modern Physics, 2024
A. Horváth, E. Forgács-Dajka, G.G. Barnaföldi: Application of Kaluza-Klein Theory in Modeling Compact Stars: Exploring Extra Dimensions, Monthly Notices of the Royal Astronomical Society, 536, 816–826, 2025
S. Prasad, N. Mallick, R. Sahoo, G. G. Barnaföldi: Anisotropic flow fluctuation as a possible signature of clustered nuclear geometry in O-O collisions at the Large Hadron Collider, Physics Letters B 860, 139145 (2025), 2025
G. Bíró, L. Serkin, G. Paić, G.G. Barnaföldi: Investigating the soft and hard limits in transverse momentum spectra in pp collisions, Accepted in EPJ ST, 2025
Ruben Alfaro et al [ALICE Coll]: Characterisation of plastic scintillator paddles and lightweight MWPCs for the MID subsystem of ALICE 3, JINST 19 (2024) 04, T04006, 2024
J. Alme et al [ALICE Coll]: Correction of the baseline fluctuations in the GEM-based ALICE TPC, JINST 18 (2023) 11, P11021, 2024
A. Fehér, R. Kovács, Á Sudár, G.G. Barnaföldi: Challenges in the thermal modeling of highly porous carbon foams, JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY 149 pp. 3605-3616. , 12 p., 2024
E. David, T. Kiss: Integrating lpGBT links into the Common Readout Units (CRU) of the ALICE Experiment, JINST_077P_1123, 2024
B.E. Szigeti, I. Szapudi, I.F. Barna, G.G. Barnaföldi: Can Rotation Solve the Hubble Puzzle, Submitted to MNRAS, 2024
Á. Gera: Reliability of Multiwire Proportional Chambers in Field Measurement: Thermal and Mechanical Limits, MSc Thesis ELTE, 2021
Ákos Sudár: Statistically-motivated, Iterative Image Reconstruction Algorithm for Proton Computer Tomography Applications, OTDK, 2022
Anikó Horváth: Nagyenergiás proton-proton ütközésekben keletkező bájos (c) kvarkok korrelációs vizsgálata szimulációkkal, TDK ELTE TTK, 2022
L. Gyulai G. Bíró, R. Vértesi, G.G. Barnaföldi: Evolution of the hot dense matter at LHC energies through light and heavy-flavor hadrons using non-extensive thermodynamics, Submitted to Int. J. of Modern Physics A, 2024
A. Horváth, E. Forgács-Dajka, G.G. Barnaföldi: The effect of multiple extra dimensions on the maximal mass of compact stars in Kaluza-Klein space-time, Submitted to Inernational J. of Modern Physics A, 2024
G. G. Barnaföldi, N. Mallick, S. Prasad, R. Sahoo, A.N. Mishra: A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies, Submitted to International J. of Modern Physics A, 2024
A. Horváth, E. Forgács-Dajka, G.G. Barnaföldi: Application of Kaluza-Klein Theory in Modeling Compact Stars: Exploring Extra Dimensions, Submitted to MNRAS, 2024
ALICE Collaboration: The ALICE experiment: a journey through QCD, Eur. Phys. J. C 84 813, 2024
G. Bíró, L. Serkin, G. Paić, G.G. Barnaföldi: Investigating the soft and hard limits in transverse momentum spectra in pp collisions, Submitted to EPJ ST, 2024
Gyula Bencédi for the ALICE Collaboration: Multi-parton interactions in pp collisions using charged-particle flattenicity with ALICE, HEP-EPS2023 PoS, 2023
Marianna Mazzilli on behalf of the ALICE Collaboration: Characterising the QGP with heavy flavour hadrons with ALICE: state of the art and prospects, PoS BEAUTY2023, 2023
Ernő Dávid, Tivadar Kiss: Integrating lpGBT links into the Common Readout Units (CRU) of the ALICE Experiment, Proceedings of TWEPP 2023 Topical Workshop on Electronics for Particle Physics, 2023
Marianna Mazzilli for the ALICE Collaboration: Measurements of HF-tagged jet substructure and energy-energy correlators with ALICE, Proceedings of EPS-HEP 2023, 2023
I.F. Barna, M.A. Pocsai, G.G. Barnaföldi: Self-Similar Solutions of a Gravitating Dark Fluid, Mathematics 2022, 10(18), 3220;, 2022
Aditya Nath Mishra, Gergely Gábor Barnaföldi, Guy Paić: Quantifying the Underlying Event: Investigating Angular Dependence of Multiplicity Classes and Transverse-momentum Spectra in High-energy pp Collisions at LHC Energies, J.Phys.G 50, 095004, 2023
Eszter Frajna (for the ALICE Collaboration): Azimuthal Correlations of D Mesons with Charged Particles in Simulations with the ALICE Experiment, Particles 4, 512-520, 2021
S. K. Das, ..., G.G. Barnaföldi, Neelkamal Mallick, A.N. Mishra..., et al.: Dynamics of Hot QCD Matter -- Current Status and Developments, Int.J.Mod.Phys.E 31 (2022) 12, 2250097, 2022
G. Bíró, B. Tankó-Bartalis, G.G. Barnaföldi: Testing of KNO-scaling of charged hadron multiplicities within a Machine Learning based approach, Proceedings of ICHEP 2022, Volume 414 - 41st International Conference on High Energy physics (ICHEP2022), 2023
A.N. Mishra, G. Paić, C. Pajares, R.P. Scharenberg, B.K. Srivastava: Deconfinement and degrees of freedom in pp and collisions at LHC energies, European Physical Journal A 57(7):245, 2022
M. Aehle, ... G.G. Barnaföldi, M. Varga-Kőfaragó, G. Papp: Exploration of differentiability in a proton computed tomography simulation framework/, Phys. Med. Biol. 68 244002, 2023
N. Mallick, S. Prasad, A.N. Mishra, R. Sahoo, G.G. Barnaföldi: Deep learning predicted elliptic flow of identified particles in heavy-ion collisions at the RHIC and LHC energies, Phys.Rev.D 107 094001, 2023
Neelkamal Mallick, Suraj Prasad, Aditya Nath Mishra, Raghunath Sahoo, and Gergely Gábor Barnaföldi: A Deep Learning Based Estimator for Elliptic Flow in Heavy Ion Collisions, PoS LHCP2022 (2023) 259, 2023
Gábor Bíró, Gergely Gábor Barnaföldi, Péter Lévai: Dedicated Analysis Facility for HEP Experiments, ACAT2022 Conference Proceedings, 2023
Balázs Endre Szigeti, Imre Ferenc Barna, Gergely Gábor Barnaföldi: settings Order Article Reprints Open AccessArticle The Formulation of Scaling Expansion in an Euler-Poisson Dark-Fluid Model, Universe 9 (2023) 431, 2023
Ákos Sudár, Gergely Gábor Barnaföldi: Proton Computed Tomography Based on Richardson-Lucy Algorithm, Submitted to Physics in Medicine and Biology, 2022
Zoltán Varga, Anett Misák, Róbert Vértesi: Event-activity-dependent production of strange and non-strange charmed baryons in the enhanced color-reconnection scheme, J. Phys. G: Nucl.Part. Phys. 50, 2023
S. Acharaya, ...,Z. Varga et al [ALICE Coll]: Azimuthal correlations of heavy- flavor hadron decay electrons with charged particles in pp and p–Pb collisions at √sNN = 5.02 TeV, Eur. Phys. J. C 83, 741, 2023
Z. Varga, A. Misák, R. Vértesi: The role of the underlying event in the charm-baryon enhancement observed in pp collisions at LHC energies, SciPost Phys. Proc of ISMD2022, 2022
Gábor Bíró, Mihály Pocsai, Imre F. Barna, Gergely G. Barnaföldi, Joshua T. Moody, Gábor Demeter: Machine learning methods for schlieren imaging of a plasma channel in tenuous atomic vapor, Optics & Laser Technology 159 (2023) 108948, 2022
Debadatta Behera, Neelkamal Mallick, Sushanta Tripathy, Suraj Prasad, Aditya Nath Mishra, and Raghunath Sahoo: Predictions on global properties in O+O collisions at the Large Hadron Collider using a multi-phase transport model, Eur. Phys. J. A 58, 175, 2022
Antonio Ortiz, Arvind Khuntia, Omar Vázquez Rueda, Sushanta Tripathy, Gyula Bencédi, Suraj Prasad, Feng Fan: Unveiling the effects of multiple soft partonic interactions in pp collisions at √s=13.6  TeV using a new event classifier, Phys. Rev. D 107, 076012, 2023
R. Vér: Measurement of the radius dependence of charged-particle  jet suppression in Pb-Pb collisions at sNN​ = 5.02 TeV, CERN-EP-2023-027, Submitted to PLB, 2023
A. Horváth, E. Frajna, R. Vértesi: Event-Shape-Dependent Analysis of Charm–Anticharm Azimuthal Correlations in Simulations, Universe 2023, 9(7), 308, 2023
Horváth Anikó: Nagyenergiás proton-proton ütközésekben keletkező c-kvarkok  korrelációs vizsgálata szimulációkkal, TDK/OTDK 1. helyezett, 2023
Anna Horváth; Balázs Bámer; Gergely Gábor Barnaföldi: Numerical simulation of mirages above water bodies, Am. J. Phys. 91, 999–1007, 2023
Bíró Gábor, Barnaföldi Gergely Gábor: Machine Learning based KNO-scaling of charged hadron multiplicities with Hijing++, ACAT2022 Conference proceedings, 2023
S. Acharya et al [ALICE Collaboration]: Measurement of inclusive charged-particle b-jet production in pp and p-Pb collisions at sNN​ = 5.02 TeV, JHEP 01 (2022) 178, 2022
G. Bíró, B. Tankó-Bartalis, G.G. Barnaföldi: Studying Hadronization by Machine Learning Techniques, Submitted, 2021
A.N. Mishra, G.G. Barnaföldi, Guy Paić: Angular Dependence of Multiplicity Classes and Transverse-momentum Spectra within Non-extensive Statistical Approach in pp Collisions at ss ​ = 13 TeV, Proceedings of the DAE Symp. on Nucl. Phys. 65 (2021), 2021
G. Bíró, B. Tankó-Bartalis, G.G. Barnaföldi: Testing of KNO-scaling of charged hadron multiplicities within a Machine Learning based approach, Proceedings of ICHEP 2022, 2022
A.N. Mishra, G. Paić, C. Pajares, R.P. Scharenberg, B.K. Srivastava: Exploring the QGP phase above the deconfinement temperature in pp and AA collisions at LHC energies, Submitted, 2022
M. Aehle, ... G.G. Barnaföldi, M. Varga-Kőfaragó, G. Papp: Derivatives in Proton CT, Submitted, 2022
A. Fehér, R. Kovács, Á. Sudár, G.G. Barnaföldi: Challenges in the thermal modeling of highly porous carbon foams, Submitted, 2022
Hirdi H.É., Barnaföldi G.G.: A hadronterápia ápolási vonatkozásai, Nővér, 2022;35(4) 18, 2022
N. Mallick, S. Prasad, A.N. Mishra, R. Sahoo, G.G. Barnaföldi: A Deep Learning Based Estimator for Elliptic Flow in Heavy Ion Collisions, PoS LHCP 2022, 2022
ALICE Collaboration: Letter of intent for ALICE 3: A next generation heavy-ion experiment at the LHC, CERN-LHCC-2022-009 ; LHCC-I-038, 2022
Róbert Vértesi [For the ALICE Collaboration]: Charm and beauty production and hadronization with the ALICE experiment, Proceedings of the BEACH 2022 conference, 2022
Z. Varga, A. Misák, R. Vértesi: The role of the underlying event in the charm-baryon enhancement observed in pp collisions at LHC energies, Proceeding of International Symposium on Multiparticle Dynamics (ISMD2022) (Submitted), 2022
L. Gyulai, Sz. Sándor, R. Vértesi: Defining the Underlying-Event Activity in the Presence of Heavy-Flavour Processes in Proton-Proton Collisions at LHC Energies, Particles 2022, 5, 235–244., 2022
J. Adolfsson et al: The upgrade of the ALICE TPC with GEMs and continuous readout, JINST 16 (2021) P03022, 2020
Helge Egil Seime Pettersen et al: Helium radiography with a digital tracking calorimeter—a Monte Carlo study for secondary track rejection, Phys. Med. Biol. 66 035004, 2021
Johan Alme et al.: A High-Granularity Digital Tracking Calorimeter Optimized for Proton CT, Front. Phys., 2020.568243, 2020
Helge Egil Seime Pettersen et al: Investigating particle track topology for range telescopes in particle radiography using convolutional neural networks, Acta Oncol. 2021 Nov;60(11):1413-1418, 2021
Erik Brücken, Jouni Heino, Timo Hildén, Matti Kalliokoski, Vladyslav Litichevskyi, Raimo Turpeinen, Dezső Varga: Hole misalignment and gain performance of Gaseous Electron Multipliers, Nuclear Inst. and Methods in Physics Research, A 1002 (2021) 16527, 2021
Gábor Bı́ró, Gergely Gábor Barnaföldi, Péter Lévai, Latchezar Betev, Jan Fiete Grosse-Oetringhaus: The Wigner ALICE Analysis Facility, ALICE-PUBLIC-2021-007, 2021
R. Vértesi [ALICE Collaboration]: Jet measurements with ALICE: substructure, dead cone, charm jets, PoS LHCP2020, 143 (2020), 2020
L. Gyulai (for the ALICE Collaboration): Heavy-flavour production in proton-proton collisions with the ALICE experiment, J. Phys. Conf. Ser. 1690 (2020) 012165, 2020
ALICE Collaboration: Production of light flavor hadrons in pp collisions at √s = 7 and 13TeV, Eur.Phys.J.C 81 (2021) 3, 256, 2021
A. Ortiz, Gy. Bencédi, S. Tripathy: Apparent modification of the jet-like yield in proton-proton collisions with large underlying event, J.Phys. G48 (2020) no.1, 015007, 2020
Róbert Vértesi, Gyula Bencédi, Anett Misák, Antonio Ortiz: Probing the interaction of semi-hard quarks and gluons with the underlying event in light- and heavy-flavor triggered proton-proton collisions, Submitted to PLB, 2021
ALICE Collaboration: Investigating charm production and fragmentation via azimuthal correlations of prompt D mesons with charged particles √ in pp collisions at s = 13 TeV, CERN-EP-2021-184, 2021
Endre Futó et al: HMPID Shifter's Manual, ALICE Twiki, 2021
Eszter Frajna (for the ALICE Collaboration): Azimuthal Correlations of D Mesons with Charged Particles in Simulations with the ALICE Experiment, Particles 4, 512-520, 2021
Aditya Nath Mishra, Dushmanta Sahu, Raghunath Sahoo: Jet Transport Coefficient at the Large Hadron Collider Energies in a Color String Percolation Approach, Physics 2022, 4(1), 315-328;, 2022
Balázs Endre Szigeti, Gergely Gábor Barnaföldi, Péter Pósfay, Antal Jakovác: Estimating Microscopic Nuclear Data by Compact Star Observations, EPJ Web Conf. 259 (2022) 13011, 2022
S. Acharya et al [ALICE Collaboration]: Investigating charm production and fragmentation via azimuthal correlations of prompt D mesons with charged particles in pp collisions at  sqrt(s)​=13 TeV, Eur.Phys.J.C 82 (2022) 4 and CERN-EP-2021-184, 2021, 2022
L. Gyulai [for the ALICE Collaboration]: Heavy-flavour production in proton-proton collisions with the ALICE experiment, J. Phys. Conf. Ser. 1690 (2020) 012165, 2020
N. Mallick, S. Prasad, A.N. Mishra, R. Sahoo, G.G. Barnaföldi: Estimating elliptic flow coefficient in heavy ion collisions using deep learning, Phys. Rev. D 105, 114022, 2022
D. Behera, N. Mallick, S. Tripathy, S. Prasad, A. N. Mishra, and R. Sahoo: Predictions on global properties in O+O collisions at the Large Hadron Collider using a multi-phase transport model, Eur. Phys. J. A 58, 175, 2022
S. K. Das, ..., G.G. Barnaföldi, Neelkamal Mallick, A.N. Mishra..., et al.: Dynamics of Hot QCD Matter -- Current Status and Developments, International Journal of Modern Physics E (in press), 2022
Z. Varga, R. Vértesi: The partonic origin of multiplicity scaling in heavy and light flavor jets, Symmetry 14 (2022) 7, 1379, 2022
Z. Varga, R. Vértesi: The role of the underlying event in the Λc+ enhancement in high-energy pp collisions, J. Phys. G: Nucl. Part. Phys. 49, 075005, 2022
Horváth A., Bamer B., Barnaföldi GG: Kövessük a fényeket – délibábok numerikus szimulációja, Fizikai Szemle. LXXII. ÉVFOLYAM, 9. (814.) SZÁM p296, 2022
R. Vértesi, Gy. Bencédi, A. Misák, A. Ortiz: Probing the interaction of semi-hard quarks and gluons with the underlying event in light- and heavy-flavor triggered proton-proton collisions, Eur.Phys.J.A 57 (2021) 10, 301, 2021
Neelkamal Mallick, Sushanta Tripathy, Aditya Nath Mishra, Suman Deb, Raghunath Sahoo: Estimation of Impact Parameter and Transverse Spherocity in heavy-ion collisions at the LHC energies using Machine Learning, Phys. Rev. D 103 (2021) 094031, 2021
Aditya N Mishra, Guy Paic, C. Pajares, R. P. Scharenberg, B. K. Srivastava: Deconfinement and degrees of freedom in pp and A−A collisions at LHC energies, Eur. Phys. J. A (2021) 57:245, 2021
Aditya Nath Mishra, Gergely Gábor Barnaföldi, Guy Paić: Quantifying the Underlying Event: Investigating Angular Dependence of Multiplicity Classes and Transverse-momentum Spectra in High-energy pp Collisions at LHC Energies, Submitted, 2021
Aditya Nath Mishra, Dushmanta Sahu, Raghunath Sahoo: Jet Transport Coefficient at the Large Hadron Collider Energies in a Color String Percolation Approach, Submitted, 2021
A. Gémes, R. Vértesi, G. Papp, G. G. Barnaföldi: Scaling properties of jet-momentum profiles with multiplicity, Gribov-90 Memorial Volume, pp. 81-89 (2021), 2021
R. Vértesi, A. Gémes, G. G. Barnaföldi: Koba-Nielsen-Olesen-like scaling within a jet in proton-proton collisions at LHC energies, Phys.Rev.D 103 (2021) 5, L051503, 2021
Bíró Gábor: Részecskekeltés és hadronizáció vizsgálata nagyenergiás nehézion-ütközésekben, PhD érdetkezés, ELTE TTK, Budapest, 2020
Balázs Endre Szigeti, Gergely Gábor Barnaföldi, Péter Pósfay, Antal Jakovác: Estimating Microscopic Nuclear Data by Compact Star Observations, EPJ Web Conf. 259 (2022) 13011, 2021
Imre F. Barna, Mihály A. Pocsai, Gergely Gábor Barnaföldi: Scaling Hydrodynamical Evolution of a Gravitating Dark-fluid Universe, Submitted, 2020
David Alvarez-Castillo, Alexander Ayriyan, Gergely Gábor Barnaföldi, Hovik Grigorian, Péter Pósfay: Studying the parameters of the extended σ-ω model for neutron star matter, Eur.Phys.J.ST 229 (2020) 22-23, 3615-3628, 2020
Gergely Gábor Barnaföldi, Péter Pósfay, Balázs E. Szigeti, Antal Jakovác: Estimating Compressibility from Maximal-mass Compact Star Observations, Eur.Phys.J.ST 229 (2020) 22-23, 3605-3614, 2020





 

Projekt eseményei

 
2024-02-21 09:32:31
Résztvevők változása
2023-09-15 10:32:50
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2023-06-19 15:49:15
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2022-09-01 16:52:59
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2022-04-22 12:54:07
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2021-10-11 16:45:05
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2021-02-09 11:11:57
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2021-01-08 11:17:44
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2020-11-16 14:43:32
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