Add to ORKGIt is predicted that a Au+Au event in the PHENIX Detector at RHIC will produce up to 800 charged particles in the PHENIX central arms. Pattern recognition algorithms are being developed to handle this hostile tracking environment. To facilitate the development of these algorithms, a suite of evaluators and event displays have been developed to calculate efficiencies and identify weaknesses in the algorithms. An overview of these algorithms and procedures will be discussed
The primary goals of the heavy-ion program of the PHENIX collaboration are the detection of the quar...
The development and operation of liquid-argon time-projection chambers for neutrino physics has crea...
Some techniques devised in the computer science fields of pattern recognition and expert systems are...
The PHENIX tracking system consists of Drift Chambers (DC), Pad Chambers (PC) and the Time Expansion...
The central arm spectrometers for the PHENIX experiment at the Relativistic Heavy Ion Collider have ...
The High Momentum Particle Identification Detector in the ALICE experiment is based on, a Ring Imagi...
In response to a growing necessity for more sophisticated methods of analysis at the Relativistic He...
The rapid development in semiconductor detector technology at CERN has provided the capability to de...
An algorithm for performing pattern recognition in RICH detectors is described. It uses the knowledg...
This report reviews methods of pattern recognition and event reconstruction used in modern high ener...
PHENIX is a large detector at the Relativistic Heavy Ion Collider (RHIC) at BNL. RHIC and PHENIX hav...
The development of automated solutions to pattern recognition problems is important in many areas of...
The tracking environment in the HI Forward Track Detector, where the hit multiplicity from proton fr...
The PHENIX experiment consists of a large detector system located at the newly com-missioned relativ...
The development and operation of liquid-argon time-projection chambers for neutrino physics has crea...
The primary goals of the heavy-ion program of the PHENIX collaboration are the detection of the quar...
The development and operation of liquid-argon time-projection chambers for neutrino physics has crea...
Some techniques devised in the computer science fields of pattern recognition and expert systems are...
The PHENIX tracking system consists of Drift Chambers (DC), Pad Chambers (PC) and the Time Expansion...
The central arm spectrometers for the PHENIX experiment at the Relativistic Heavy Ion Collider have ...
The High Momentum Particle Identification Detector in the ALICE experiment is based on, a Ring Imagi...
In response to a growing necessity for more sophisticated methods of analysis at the Relativistic He...
The rapid development in semiconductor detector technology at CERN has provided the capability to de...
An algorithm for performing pattern recognition in RICH detectors is described. It uses the knowledg...
This report reviews methods of pattern recognition and event reconstruction used in modern high ener...
PHENIX is a large detector at the Relativistic Heavy Ion Collider (RHIC) at BNL. RHIC and PHENIX hav...
The development of automated solutions to pattern recognition problems is important in many areas of...
The tracking environment in the HI Forward Track Detector, where the hit multiplicity from proton fr...
The PHENIX experiment consists of a large detector system located at the newly com-missioned relativ...
The development and operation of liquid-argon time-projection chambers for neutrino physics has crea...
The primary goals of the heavy-ion program of the PHENIX collaboration are the detection of the quar...
The development and operation of liquid-argon time-projection chambers for neutrino physics has crea...
Some techniques devised in the computer science fields of pattern recognition and expert systems are...