activity
20032024
most citedSemi-Hard Scattering Unraveled from Collective Dynamics by Two-Pion Azimuthal Correlations in 158 A GeV/c Pb + Au Collisions

69 citations · 167 across the 11 of their papers we have counts for

collaborators

11 papers

nucl-ex2024

The ratio in PbAu collisions at 17.3 GeV: a hint of a hydrodynamic behavior

D. Adamová, G. Agakishiev, A. Andronic +50

The Fourier harmonics, and of negative pions are measured at center-of-mass energy per nucleon pair of = 17.3 GeV around midrapidity by the CERE…

nucl-ex2012★ 17 cited

Elliptic flow of charged pions, protons and strange particles emitted in Pb+Au collisions at top SPS energy

D. Adamová, G. Agakichiev, A. Andronic +49

Differential elliptic flow spectra v2(pT) of π-, K0short, p, Λhave been measured at \sqrt(s NN)= 17.3 GeV around midrapidity by the CERN-CERES/NA45 experiment in mid-central Pb+Au…

nucl-ex2008★ 18 cited

Azimuthal dependence of pion source radii in Pb+Au collisions at 158 A GeV

CERES Collaboration, D. Adamova, G. Agakichiev +54

We present results of a two-pion correlation analysis performed with the Au+Pb collision data collected by the upgraded CERES experiment in the fall of 2000. The analysis was done…

physics.ins-det2008★ 3 cited

Real Time Global Tests of the ALICE High Level Trigger Data Transport Framework

B. Becker, S. Chattopadhyay, C. Cicalo J. Cleymans +11

The High Level Trigger (HLT) system of the ALICE experiment is an online event filter and trigger system designed for input bandwidths of up to 25 GB/s at event rates of up to 1 kH…

nucl-ex2004★ 31 cited

New results from CERES

A. Marin

During the year 2000 the CERES experiment, upgraded with a radial drift TPC, took a large data sample of Pb on Au collisions at 158 AGeV triggered on the 8% most central collisions…

physics.ins-det2004★ 3 cited

Real-time TPC Analysis with the ALICE High-Level Trigger

V. Lindenstruth, C. Loizides, D. Roehrich +7

The ALICE High-Level Trigger processes data online, to either select interesting (sub-) events, or to compress data efficiently by modeling techniques. Focusing on the main data so…