# Study of the data acquisition network for the triggerless data acquisition of the LHCb experiment and new particle track reconstruction strategies for the LHCb upgrade

Pisani, Flavio (2020) Study of the data acquisition network for the triggerless data acquisition of the LHCb experiment and new particle track reconstruction strategies for the LHCb upgrade, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Fisica, 32 Ciclo. DOI 10.6092/unibo/amsdottorato/9456.
Documenti full-text disponibili:
 Documento PDF (English) - Richiede un lettore di PDF come Xpdf o Adobe Acrobat Reader Disponibile con Licenza: Salvo eventuali più ampie autorizzazioni dell'autore, la tesi può essere liberamente consultata e può essere effettuato il salvataggio e la stampa di una copia per fini strettamente personali di studio, di ricerca e di insegnamento, con espresso divieto di qualunque utilizzo direttamente o indirettamente commerciale. Ogni altro diritto sul materiale è riservato. Download (12MB)

## Abstract

The LHCb experiment will receive a major upgrade by the end of February 2021. This upgrade will allow the recording of proton-proton collision data at $\sqrt{s} = 14\ \text{TeV}$ with an instantaneous luminosity of $2 \cdot 10^{33}\ \text{cm}^{-2}\text{s}^{-1}$, making possible measurements of unprecedented precision in the $b$ and $c$-quark flavour sectors. For taking advantage of the increased luminosity provided, the data acquisition system will receive a substantial upgrade. The upgraded system will be capable of processing the full collision rate of $30\ \text{MHz}$, without any low-level hardware preselection. This new design constraint poses a non-trivial technological challenge, both from a networking and computing point of view. A possible design of a $32\ \text{Tb/s}$ data acquisition network is presented, and low-level network simulations are used to validate the design. Those simulations use an accurate behavioural model developed and optimised for this specific purpose. It is mandatory to optimise the reconstruction algorithms using a computing and physics approach, to perform the online reconstruction of the full $30\ \text{MHz}$ $pp$ collisions rate. A new parametrisation of the charged particles' bending generated by the dipole of the LHCb experiment is presented. The accuracy of the model is tested against Monte Carlo data. This strategy can reduce by a factor four the size of the search windows needed in the SciFi sub-detector. The LookingForward algorithm in the Allen framework uses this model.

Abstract
Tipologia del documento
Tesi di dottorato
Autore
Pisani, Flavio
Supervisore
Dottorato di ricerca
Ciclo
32
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
high energy physics, data acquisition systems, networking
URN:NBN
DOI
10.6092/unibo/amsdottorato/9456
Data di discussione
27 Marzo 2020
URI