Speaker
Danny Noonan
(Fermi National Accelerator Lab. (US))
Description
The High Granularity Calorimeter (HGCAL) is a new subdetector of the CMS experiment in development as part of the upgrades for the High Luminosity LHC. The HGCAL readout system includes the Endcap Trigger Concentrator (ECON-T) ASIC, responsible for algorithmically reducing the immense data volume associated with the trigger patch of this six-million channel “imaging” calorimeter. To accomplish the data reduction, a reconfigurable autoencoder algorithm has been implemented in the ECON-T. The design, optimization, and implementation of this neural network encoder and first test results of the functionality within the ECON-T ASIC prototype are presented.
Authors
Alpana Shenai
(Fermi National Accelerator Lab. (US))
Chinar Syal
(Fermi National Accelerator Lab. (US))
Christian Herwig
(Fermi National Accelerator Lab. (US))
Cristina Ana Mantilla Suarez
(Fermi National Accelerator Lab. (US))
Dr
Cristinel Veniamin Gingu
(Fermi National Accelerator laboratory)
Danny Noonan
(Fermi National Accelerator Lab. (US))
Davide Braga
(FERMILAB)
Duje Coko
(University of Split. Fac.of Elect. Eng., Mech. Eng. and Nav.Architect. (HR))
Farah Fahim
(Fermilab)
Giuseppe Di Guglielmo
(Fermilab)
James Hoff
(Fermi National Accelerator Lab. (US))
Javier Mauricio Duarte
(Univ. of California San Diego (US))
Jennifer Ngadiuba
(FNAL)
Jim Hirschauer
(Fermi National Accelerator Lab. (US))
Jon Wilson
(Baylor University (US))
Ka Hei Martin Kwok
(Fermi National Accelerator Lab. (US))
Llovizna Miranda
(Northwestern University)
Mr
Manuel Valentin
(Northwestern University)
Matteo Lupi
(CERN)
Maurizio Pierini
(CERN)
Nhan Tran
(Fermi National Accelerator Lab. (US))
Pamela Klabbers
(Fermi National Accelerator Laboratory)
Paul Michael Rubinov
(Fermi National Accelerator Lab. (US))
Philip Coleman Harris
(Massachusetts Inst. of Technology (US))
Ralph Owen Wickwire
(Fermilab)
Seda Memik
(Northwestern University)
Sioni Paris Summers
(CERN)
Vladimir Loncar
Xiaoran Wang
(Fermi National Accelerator Lab. (US))
Yingyi Luo
(Northwestern University)