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v3.3.3
Abstract:
The why and how we’ll sift through 34 TB/s of CMS HGCAL collision data and “only” save 2 TB/s.
In 2030, the LHC will begin delivering an order of magnitude more high-energy proton-proton collisions for another decade. To endure the harsh radiation environment, the CMS Collaboration will upgrade its detectors, which includes constructing a silicon and scintillator high-granularity calorimeter for the endcap region. This novel detector, featuring 1000 m2 of active area, will provide 5D snapshots of space, time, and energy of particle showers in its volume every 25 ns.
We will discuss why we are building this detector, how we plan to process every bit of this torrent of data, and the challenges that lie ahead. And yes, also why so many hexagons.
About Speakers:
1) Dr. Raghunandan Shukla
Engineer, High Energy Physics Group, Imperial College London, UK.
Dr. Raghunandan is an expert on the firmware development for the trigger primitive generator of the high granularity calorimeter (HGCAL) of the CMS experiment at CERN. He is playing a key role in the both trigger and data acquisition (DAQ) systems of HGCAL. He has expertise in full vertical slice of the detector system from Silicon sensor development, characterization, front-end analog electronics to back-end processing digital electronics, Low level software for DAQ interfaces as well as online control software.
2) Dr. Andre David Tinoco Mendes
Senior Researcher, PPE Division, CERN, CH-1211, Geneva 23, Switzerland.
Dr. Andre David is an Applied Physicist with CERN, Geneva, Working on the CMS experiment detector upgrades for the High-Luminosity LHC, with emphasis on the High-Granularity Calorimeter. He is mainly responsible for the control and data acquisition system of the HGCAL (3 MEUR) as section Leader in the CERN CMS team, the co-leader of the HGCAL backend project and has been leading from the front in the design, development, and validation of the trigger and DAQ systems of HGCAL.
ASET