BEGIN:VCALENDAR VERSION:2.0 PRODID:-//linuxsoftware.nz//NONSGML Joyous v1.4//EN BEGIN:VEVENT SUMMARY:Optimization of the local reconstruction in a high granular calori meter using a heterogenous computing model DTSTART:20250703T100000Z DTEND:20250703T120000Z DTSTAMP:20260804T091036Z UID:5ba3883d-e899-4ecc-bec1-0083604da67a SEQUENCE:1 CREATED:20250626T134926Z DESCRIPTION: Password: 561232 The High-Luminosity phase of the Large Had ron Collider (HL-LHC) at the European Organisation for Nuclear Research (C ERN) will deliver an unprecedented dataset of proton-proton collisions at the highest centre-of-mass energies to date. With over 140 simultaneous in teractions per bunch crossing and luminosity of around 1034 cm−2 sâ ˆ’1 \, both the CMS detector and its computing infrastructure face sign ificant challenges. These include severe radiation damage\, high particle fluxes\, and the need for fast and precise reconstruction to isolate physi cs signals of interest\, particularly for precision measurements. To meet these demands\, the CMS experiment is undergoing major upgrades\, includin g the replacement of the endcap calorimeters with a high-granularity sampl ing calorimeter (HGCAL). HGCAL will provide combined energy and time measu rements from approximately six million channels\, enabling accurate partic le flow reconstruction under extreme pileup. The upgrade features a silico n-based sampling structure with fine spatial segmentation\, enhancing both spatial and temporal resolution. This thesis explores the development and validation of a local reconstruction and calibration framework using data from HGCAL beam tests. A key contribution is an automated method to extra ct the most probable value (MPV) of energy deposits from minimum ionising particles (MIP) across individual silicon sensors\, a critical step in cal orimeter energy calibration. Essential processing steps include pedestal s ubtraction\, noise correction\, and timing alignment. The calibration algo rithms were tested and validated under real beam test conditions. This wor k contributes to a per-channel calibration method that will be essential f or the accurate calibration of HGCAL in preparation for its deployment in the HL-LHC era. LAST-MODIFIED:20250626T134926Z LOCATION:Online URL:http://df.vps.tecnico.ulisboa.pt/en/events/optimization-of-the-local-r econstruction-in-a-high-granular-calorimeter-using-a-heterogenous-computin g-model/ X-ALT-DESC;FMTTYPE=text/html:

Password: 561232

The High-Luminosity phase of the Large Hadr on Collider (HL-LHC) at the European Organisation for Nuclear Research (CE RN) will deliver an unprecedented dataset of proton-proton collisions at t he highest centre-of-mass energies to date. With over 140 simultaneous int eractions per bunch crossing and luminosity of around 1034 cm−2 sâ ˆ’1 \, both the CMS detector and its computing infrastructure face sign ificant challenges.

These include severe radiation damage\, high particle fluxes\, and the need for fast and precise reconstruction to iso late physics signals of interest\, particularly for precision measurements . To meet these demands\, the CMS experiment is undergoing major upgrades\ , including the replacement of the endcap calorimeters with a high-granula rity sampling calorimeter (HGCAL).

HGCAL will provide combined e nergy and time measurements from approximately six million channels\, enab ling accurate particle flow reconstruction under extreme pileup. The upgra de features a silicon-based sampling structure with fine spatial segmentat ion\, enhancing both spatial and temporal resolution. This thesis explores the development and validation of a local reconstruction and calibration framework using data from HGCAL beam tests.

A key contribution i s an automated method to extract the most probable value (MPV) of energy d eposits from minimum ionising particles (MIP) across individual silicon se nsors\, a critical step in calorimeter energy calibration. Essential proce ssing steps include pedestal subtraction\, noise correction\, and timing a lignment. The calibration algorithms were tested and validated under real beam test conditions. This work contributes to a per-channel calibration m ethod that will be essential for the accurate calibration of HGCAL in prep aration for its deployment in the HL-LHC era.

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