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Jet Single Shot Detection

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arxiv 2105.05785 v2 pith:YZLRYOID submitted 2021-05-12 hep-ex

Jet Single Shot Detection

Adrian Alan Pol , Thea Aarrestad , Katya Govorkova , Roi Halily , Anat Klempner , Tal Kopetz , Vladimir Loncar , Jennifer Ngadiuba
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Maurizio Pierini Olya Sirkin Sioni Summers
This is my paper
classification hep-ex
keywords detectionnetworknetworksreconstructionshotsingleadditionalapply
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We apply object detection techniques based on Convolutional Neural Networks to jet reconstruction and identification at the CERN Large Hadron Collider. In particular, we focus on CaloJet reconstruction, representing each event as an image composed of calorimeter cells and using a Single Shot Detection network, called Jet-SSD. The model performs simultaneous localization and classification and additional regression tasks to measure jet features. We investigate Ternary Weight Networks with weights constrained to {-1, 0, 1} times a layer- and channel-dependent scaling factors. We show that the quantized version of the network closely matches the performance of its full-precision equivalent.

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