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SUMMARY:Signal reconstruction firmware of the ATLAS Tile Calorimeter for t
 he HL-LHC
DTSTART;VALUE=DATE-TIME:20250916T091000Z
DTEND;VALUE=DATE-TIME:20250916T092500Z
DTSTAMP;VALUE=DATE-TIME:20260505T035019Z
UID:indico-contribution-28382@indico.ific.uv.es
DESCRIPTION:Speakers: Francisco Hervás Álvarez (Instituto de Física Cor
 puscular (Universitat de València))\nThe High Luminosity Large Hadron Col
 lider (HL-LHC) upgrade at CERN will increase luminosity\, resulting in hig
 her proton-proton interaction rates per bunch crossing at the Tile Calorim
 eter of the ATLAS detector. This phenomenon is known as signal pile-up and
 \, to mitigate its impact\, more complex signal reconstruction algorithms 
 based on deep learning are required. The processing will be made using Fie
 ld-Programmable Gate Arrays (FPGAs) due to their low and deterministic lat
 ency for signal synchronization. Furthermore\, the signal reconstruction n
 eeds to be made using more sophisticated algorithms\, such as deep-learnin
 g methods. This work aims to design and implement the FPGA firmware for si
 gnal reconstruction\, operating at 40 MHz to process data before the first
  level of trigger\, ensuring optimal performance in the HL-LHC era.\n\nhtt
 ps://indico.ific.uv.es/event/8166/contributions/28382/
LOCATION:Universe
URL:https://indico.ific.uv.es/event/8166/contributions/28382/
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