G. Pawloski
University of Minnesota
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Featured researches published by G. Pawloski.
Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2008
M. Abolins; M. Adams; T. Adams; E. Aguilo; John Anderson; L. Bagby; J. Ban; E. Barberis; S. Beale; J. Benitez; J. Biehl; M. Bowden; R. Brock; J. Bystricky; M. Cwiok; D. Calvet; S. Cihangir; D. Edmunds; Hal Evans; C. Fantasia; J. Foglesong; J. Green; C. Johnson; R. Kehoe; S. Lammers; P. Laurens; P. Le Dû; P.S. Mangeard; J. Mitrevski; M. Mulhearn
Increasing luminosity at the Fermilab Tevatron collider has led the D0 collaboration to make improvements to its detector beyond those already in place for Run IIa, which began in March 2001. One of the cornerstones of this Run IIb upgrade is a completely redesigned level-1 calorimeter trigger system. The new system employs novel architecture and algorithms to retain high efficiency for interesting events while substantially increasing rejection of background. We describe the design and implementation of the new level-1 calorimeter trigger hardware and discuss its performance during Run IIb data taking. In addition to strengthening the physics capabilities of D0, this trigger system will provide valuable insight into the operation of analogous devices to be used at LHC experiments.
Journal of Instrumentation | 2016
A. Aurisano; A. Radovic; D. Rocco; A. Himmel; M. D. Messier; E. Niner; G. Pawloski; F. Psihas; A. Sousa; P. Vahle
Convolutional neural networks (CNNs) have been widely applied in the computer vision community to solve complex problems in image recognition and analysis. We describe an application of the CNN technology to the problem of identifying particle interactions in sampling calorimeters used commonly in high energy physics and high energy neutrino physics in particular. Following a discussion of the core concepts of CNNs and recent innovations in CNN architectures related to the field of deep learning, we outline a specific application to the NOvA neutrino detector. This algorithm, CVN (Convolutional Visual Network) identifies neutrino interactions based on their topology without the need for detailed reconstruction and outperforms algorithms currently in use by the NOvA collaboration.
arXiv: Instrumentation and Detectors | 2013
P. Adamson; A. Sousa; A. Perch; K. Lang; A. Radovic; J. J. Evans; M. L. Marshak; M. M. Pfützner; J. R. Meier; J. A B Coelho; S. V. Cao; R. J. Nichol; R. Mehdiyev; Gavin Davies; J. K. Nelson; G. Pawloski; A. Kreymer; J. S. Huang; R. B. Patterson; S. G. Wojcicki; M. Proga; L. Whitehead; V. Paolone; J. P. Thomas; S. Schreiner; Manuel Calderon De La Barca Sanchez; A. Habig; D. Naples; A. Holin; J. Hartnell
This Letter of Intent outlines a proposal to build a large, yet cost-effective, 100 kton fiducial mass water Cherenkov detector that will initially run in the NuMI beam line. The CHIPS detector (CHerenkov detector In Mine PitS) will be deployed in a flooded mine pit, removing the necessity and expense of a substantial external structure capable of supporting a large detector mass. There are a number of mine pits in northern Minnesota along the NuMI beam that could be used to deploy such a detector. In particular, the Wentworth Pit 2W is at the ideal off-axis angle to contribute to the measurement of the CP violating phase. The detector is designed so that it can be moved to a mine pit in the LBNE beam line once that becomes operational.
Unknown Journal | 2011
G. Tzanankos; A. Weber; K. Lang; C. Escobar; J. J. Evans; E. Falk; S. G. Wojcicki; P. Vahle; M. L. Marshak; J. K. Nelson; C. White; A. Blake; J. Schneps; M. Thomson; B Pahlka; R. Mehdiyev; D. Cronin-Hennessy; J. Hartnell; G. Pawloski; Z. Isvan; G. B. Mills; S. K. Swain; A. Kreymer; J.L.: aff Texas U. Ritchie; R. B. Patterson; A. Holin; R. Plunkett; R. Nichol; P. Lucas; Z. Pavlovic
This is a proposal to continue to expose the two MINOS detectors to the NuMI muon neutrino beam for three years starting in 2013. The medium energy setting of the NuMI beam projected for NO{nu}A will deliver about 18 x 10{sup 20} protons-on-target during the first three years of operation. This will allow the MINOS Far Detector to collect more than 10,000 charged current muon neutrino events in the 4-10 GeV energy range and provide a stringent test for non-standard neutrino interactions, sterile neutrinos, extra dimensions, neutrino time-of-flight, and perhaps more. In addition there will be more than 3,000 neutral current events which will be particularly useful in extending the sterile neutrino search range.
Proceedings of XIII International Conference on Heavy Quarks and Leptons — PoS(HQL 2016) | 2017
G. Pawloski
MINOS/MINOS+ is an accelerator neutrino experiment that studies oscillation phenomena over a 735 km baseline by using the NuMI beamline. From 2005 to 2012, the MINOS experiment recorded beam data that was primarily taken in the low-energy NuMI configuration. After an extended shutdown the beam resumed operation in 2013 in a medium-energy configuration marking the start of operations for the MINOS+ experiment. In this paper, results using the MINOS and MINOS+ data samples are presented. These results include the measurement of three flavor oscillation parameters and limits on sterile neutrinos assuming a 3+1 neutrino mixing model.
Nuclear Physics B - Proceedings Supplements | 2012
G. Pawloski
Proceedings of Science | 2015
G. Pawloski
Nuclear Physics B - Proceedings Supplements | 2012
R. Toner; G. Pawloski; L. Whitehead
Archive | 2007
G. Pawloski
Annual Meeting of the Division of Particles and Fields of the American Physical Society, DPF 2006, and the Annual Fall Meeting of the Japan Particle Physics Community | 2006
G. Pawloski