Zobrazeno 1 - 10
of 1 869
pro vyhledávání: '"Lawrence, David P."'
Autor:
Britton, Thomas, Goodrich, Michael, Jarvis, Naomi, Jeske, Torri, Kalra, Nikhil, Lawrence, David, McSpadden, Diana, Rajput, Kishan
The GlueX Central Drift Chamber (CDC) in Hall D at Jefferson Lab, used for detecting and tracking charged particles, is calibrated and controlled during data taking using a Gaussian process. The system dynamically adjusts the high voltage applied to
Externí odkaz:
http://arxiv.org/abs/2403.13823
Hydra is a system which utilizes computer vision to perform near real time data quality management, initially developed for Hall-D in 2019. Since then, it has been deployed across all experimental halls at Jefferson Lab, with the CLAS12 collaboration
Externí odkaz:
http://arxiv.org/abs/2403.00689
Autor:
Britton, Thomas, Goodrich, Michael, Jarvis, Naomi, Jeske, Torri, Kalra, Nikhil, Lawrence, David, McSpadden, Diana
Final report for the AI Assisted Experiment Control and Calibration project. This project integrated AI/ML into the controls and calibration of a production detector system in the GlueX spectrometer, a large scale Nuclear Physics detector in experime
Externí odkaz:
http://arxiv.org/abs/2402.13261
Autor:
Koopman, Bevan, Mourad, Ahmed, Li, Hang, van der Vegt, Anton, Zhuang, Shengyao, Gibson, Simon, Dang, Yash, Lawrence, David, Zuccon, Guido
Decisions in agriculture are increasingly data-driven; however, valuable agricultural knowledge is often locked away in free-text reports, manuals and journal articles. Specialised search systems are needed that can mine agricultural information to p
Externí odkaz:
http://arxiv.org/abs/2212.10762
The large-scale magnetic structure of interplanetary coronal mass ejections (ICMEs) has been shown to cause decreases in the galactic cosmic ray (GCR) flux measured in situ by spacecraft, known as Forbush decreases (Fds). We use measurements of the G
Externí odkaz:
http://arxiv.org/abs/2212.02707
Autor:
Jeske, Torri, McSpadden, Diana, Kalra, Nikhil, Britton, Thomas, Jarvis, Naomi, Lawrence, David
The AI for Experimental Controls project is developing an AI system to control and calibrate detector systems located at Jefferson Laboratory. Currently, calibrations are performed offline and require significant time and attention from experts. This
Externí odkaz:
http://arxiv.org/abs/2203.05999
Autor:
Ameli, Fabrizio, Battaglieri, Marco, Berdnikov, Vladimir V., Bondì, Mariangela, Boyarinov, Sergey, Brei, Nathan, Cappelli, Laura, Celentano, Andrea, Chiarusi, Tommaso, De Vita, Raffaella, Fanelli, Cristiano, Gyurjyan, Vardan, Lawrence, David, Moran, Patrick, Musico, Paolo, Pellegrino, Carmelo, Pilloni, Alessandro, Raydo, Ben, Timmer, Carl, Ungaro, Maurizio, Vallarino, Simone
Current and future experiments at the high intensity frontier are expected to produce an enormous amount of data that needs to be collected and stored for offline analysis. Thanks to the continuous progress in computing and networking technology, it
Externí odkaz:
http://arxiv.org/abs/2202.03085
Data quality monitoring is critical to all experiments impacting the quality of any physics results. Traditionally, this is done through an alarm system, which detects low level faults, leaving higher level monitoring to human crews. Artificial Intel
Externí odkaz:
http://arxiv.org/abs/2105.07948
Autor:
Lawrence, David
The Hall-D Online Skim System (HOSS) was developed to simultaneously solve two issues for the high intensity GlueX experiment. One was to parallelize the writing of raw data files to disk in order to improve bandwidth. The other was to distribute the
Externí odkaz:
http://arxiv.org/abs/2104.14656