ARAMIS Is it an interesting event?

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Presentation transcript:

ARAMIS Is it an interesting event? S. Amerio (INFN Padova), M. Bauce (Università di Padova), D. Benedetti (Università di Firenze), F. Bertolucci (Università di Pisa), S. Campagna (Università di Torino), F. Crescioli (Università di Pisa), R. Giordano (Università di Napoli), S. Leo (Università di Pisa), D. Magalotti (INFN Perugia), L. Martini (Università di Siena), F. Ruffini (Università di Siena), A. Spiezia (Università di Perugia), P. Totaro (Università di Padova), G. Volpi (LNF Frascati) Is it an interesting event? Collaboration devoted to explore solutions to common data taking and event selection issues related to HEP experiments Mainly composed by Ph.D. and Post-docs High intensity is a challenge for the current DAQ techniques Robust data collection systems are required to cope with the high radiation Huge amount of information produced by modern detectors, especially trackers, requires huge computational power Event identification and visual analysis have similarities Identification of single meaningful elements Identification on manifolds and global characteristics A multidisciplinary approach with feedbacks between the two fields HEP  Visual Science: custom devices, hardware accelerators Visual Science  HEP: new perspectives, techniques and algorithms How does our brain recognize the butterfly?

Wide and integrated R&D program Pattern recognition and tracking technology: AM: specific device with limited flexibility, very low latency GPU: commercial device, high computational power, high latency High reliability serial links with fixed latency The image can be simplified and seen as a sequence of patterns The selection of the meaningful patterns allows high compression while keeping the main features Hardware clustering: Self seeded: in the silicon detector (FTK@ATLAS) Seeded: using L1 seed from ECAL (CMS) ECAL ECAL Trigger boards E, η, ϕ Pixel layers L1 pixel signal t0+ t1 t0 Regional PXL readout Global Trigger Sliding window How to include colors, motion, object recognition? HPC required to simulate the system extensively. Try a hardware implementation