Disability Laws and College Accessibility
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SPD track reconstruction using GraphNet neural network Leonid Lubchenkov, St.Petersburg Polytechnic University 2022
Performance for 2000 event dataset: No fake hits Up to 100 fake hits per event Recall: 0.9578 Precision: 0.9877 Mean preprocessing time: 0.1774 s (5.64 ev/s) Mean evaluation time: 0.0188 s (53.15 ev/s) Recall: 0.9138 Precision: 0.9053 Mean preprocessing time: 0.1774 s (5.60 ev/s) Mean evaluation time: 0.0188 s (53.71 ev/s) CPU: Intel Pentium G4560 @ 3.50GHz ???? ???? ???? ???? ???? ???? ?????? = ????????? =
Track distribution by percentage of correctly determined hits
Precision as function of transverse momentum, azimuthal angle and cosine of polar angle respectively
Recall as function of transverse momentum, azimuthal angle and cosine of polar angle respectively
