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16:00
Using machine learning algorithms for Quality Assurance in ALICE experiment
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Tomasz Trzcinski for the ALICE Collaboration
(Warsaw University of Technology)
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16:15
A novel deep neural network classifier for assessing track quality in the Iterative Track Reconstruction at CMS
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Joona Juhani Havukainen
(Helsinki Institute of Physics (FI))
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16:30
A novel standalone track reconstruction algorithm for the LHCb upgrade
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Renato Quagliani
(Centre National de la Recherche Scientifique (FR))
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16:45
The ATLAS Inner Detector track based alignment
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Salvador Marti I Garcia
(IFIC-Valencia (UV/EG-CSIC))
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17:00
Machine Learning When you Know (Basically) Nothing.
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Ben Nachman
(Lawrence Berkeley National Lab. (US))
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17:15
Proton Track Reconstruction Inside a Digital Tracking Calorimeter for Proton CT
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Helge Egil Seime Pettersen
(University of Bergen (NO))
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17:30
HL-LHC ATLAS Strip System Robustness
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Natasha Lee Woods
(University of California,Santa Cruz (US))
Natasha Woods
(UCSC)
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17:45
Particle Flow and PUPPI in the Level-1 trigger at CMS for the HL-LHC
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Ben Kreis
(Fermi National Accelerator Lab. (US))
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18:00
Ultimate position resolution of pixel clusters with binary readout for particle tracking
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Maurice Garcia-Sciveres
(Lawrence Berkeley National Lab. (US))
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18:20
Optimal use of Charge Information for the HL-LHC Pixel Detector Readout
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Maurice Garcia-Sciveres
(Lawrence Berkeley National Lab. (US))
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18:40
Splitting Strip Detector Clusters in Dense Environments
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William Patrick Mccormack
(University of California Berkeley (US))
