Machine learning (ML) is becoming more widely used in nuclear physics, often used to complement or replace conventional data analysis, eg for detector calibration, track reconstruction and particle identification, but it is rarely used for detector control. We developed a ML model and incorporated it into software to control the anode voltage of the GlueX Central Drift Chamber in order to...
We have studied Bose-Einstein correlations for positive pions produced in DIS events with data from experiments carried out during the run period EG2 in Jefferson Lab, Virginia using different targets, such as D2, C, Fe and Pb, exposed to a 5.014 GeV electron beam. By comparing the pairs of π+ from same events to uncorrelated pairs, we can obtain information of the space-time structure and...
Transverse momentum broadening is one of the observables measured to study the hadronization process. This process is directly related to the space-time development of a deconfined quark in the nuclear medium before it evolves into a hadron [1, 2, 3]. I’ll show the preliminary results for the first experimental measurements of the transverse momentum broadening for positive pions, produced by...
The ATLAS Liquid Argon (LAr) calorimeter measures the energy of particles produced in LHC collisions. This calorimeter has also trigger capabilities to identify interesting events. In order to enhance the ATLAS detector physics discovery potential, in the blurred environment created by the pileup, an excellent resolution of the deposited energy and an accurate detection of the deposited time...
