Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Jan Steinheimer"'
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 83, Iss 9, Pp 1-12 (2023)
Abstract The centrality determination and the estimated fluctuations of number of participant nucleons $$N_{part}$$ N part in Au–Au collisions at 1.23 AGeV beam kinetic energy suffers from severe model dependencies. Comparing the Glauber Monte Carl
Externí odkaz:
https://doaj.org/article/89e9565f072f46b78f9082b8b4a3fce9
Autor:
Jan Steinheimer, Anton Motornenko, Agnieszka Sorensen, Yasushi Nara, Volker Koch, Marcus Bleicher
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 82, Iss 10, Pp 1-12 (2022)
Abstract A set of different equations of state is implemented in the molecular dynamics part of a non-equilibrium transport simulation (UrQMD) of heavy-ion collisions. It is shown how different flow observables are affected by the density dependence
Externí odkaz:
https://doaj.org/article/bd390943c9c54f8abd861252a4327bc8
Autor:
Tom Reichert, Oleh Savchuk, Apiwit Kittiratpattana, Pengcheng Li, Jan Steinheimer, Mark Gorenstein, Marcus Bleicher
Publikováno v:
Physics Letters B, Vol 841, Iss , Pp 137947- (2023)
We investigate the development of the directed, v1, and elliptic flow, v2, in heavy ion collisions in mid-central Au+Au reactions at Elab=1.23A GeV. We demonstrate that the elliptic flow of hot and dense matter is initially positive (v2>0) due to the
Externí odkaz:
https://doaj.org/article/10a4770a92e943729a9b6be6f8e53b7e
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 82, Iss 6, Pp 1-9 (2022)
Abstract Correlations between the harmonic flow coefficients $$v_1$$ v 1 , $$v_2$$ v 2 , $$v_3$$ v 3 and $$v_4$$ v 4 of nucleons in semi-peripheral Au+Au collisions at a beam energy of 1.23 AGeV are investigated within the hadronic transport approach
Externí odkaz:
https://doaj.org/article/74ad9a8256c94623af6e91ece1730620
Autor:
Manjunath Omana Kuttan, Anton Motornenko, Jan Steinheimer, Horst Stoecker, Yasushi Nara, Marcus Bleicher
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 82, Iss 5, Pp 1-12 (2022)
Abstract It is shown that the initial compression in central heavy ion collisions at beam energies of $$E_{\mathrm {lab}}=1-10A$$ E lab = 1 - 10 A GeV depends dominantly on the underlying equation of state and only marginally on the model used for th
Externí odkaz:
https://doaj.org/article/7ffdc28c72234629afad828d566be615
Autor:
Suneet Singh Jhutty, Julia D. Boehme, Andreas Jeron, Julia Volckmar, Kristin Schultz, Jens Schreiber, Klaus Schughart, Kai Zhou, Jan Steinheimer, Horst Stöcker, Sabine Stegemann-Koniszewski, Dunja Bruder, Esteban A. Hernandez-Vargas
Publikováno v:
mSystems, Vol 7, Iss 6 (2022)
ABSTRACT The tracking of pathogen burden and host responses with minimally invasive methods during respiratory infections is central for monitoring disease development and guiding treatment decisions. Utilizing a standardized murine model of respirat
Externí odkaz:
https://doaj.org/article/e85ed8bd12404d7b94641691699c9528
Publikováno v:
Physics Letters B, Vol 835, Iss , Pp 137537- (2022)
The pion-to-proton ratio is identified as a potential signal for a non-equilibrium first-order chiral phase transition in heavy-ion collisions, as the pion multiplicity is directly related to entropy production. To showcase this effect, a non-equilib
Externí odkaz:
https://doaj.org/article/92e60474b4ce4c7b8b337e983061e6b1
Publikováno v:
Journal of High Energy Physics, Vol 2021, Iss 10, Pp 1-25 (2021)
Abstract A novel method for identifying the nature of QCD transitions in heavy-ion collision experiments is introduced. PointNet based Deep Learning (DL) models are developed to classify the equation of state (EoS) that drives the hydrodynamic evolut
Externí odkaz:
https://doaj.org/article/11e18947878c4e57ad7d9a0dda297cea
Publikováno v:
Particles, Vol 4, Iss 1, Pp 47-52 (2021)
In this talk we presented a novel technique, based on Deep Learning, to determine the impact parameter of nuclear collisions at the CBM experiment. PointNet based Deep Learning models are trained on UrQMD followed by CBMRoot simulations of Au+Au coll
Externí odkaz:
https://doaj.org/article/8b57d78ba5e44d94b32983f8d26a981f
Publikováno v:
Physics Letters B, Vol 827, Iss , Pp 136983- (2022)
We point out that the variance of net-baryon distribution normalized by the Skellam distribution baseline, κ2[B−B¯]/〈B+B¯〉, is sensitive to the possible modification of (anti)baryon yields due to BB¯ annihilation in the hadronic phase. The
Externí odkaz:
https://doaj.org/article/9dff757c160b473c993709f8b41c3ade