Jun 14 – 16, 2023
AlbaNova Main Building
Europe/Stockholm timezone

Towards a Kalman Filter-based alignment solver for ATLAS

Not scheduled
15m
Oskar Klein Auditorium FR4 (AlbaNova Main Building)

Oskar Klein Auditorium FR4

AlbaNova Main Building

Roslagstullsbacken 21, 114 21 Stockholm
Poster Sektionen för elementarpartikel och astropartikelfysik Sektionen för elementarpartikel och astropartikelfysik

Speaker

Lara Calic (Lund University)

Description

In high energy physics (HEP), accurately reconstructing charged particle
trajectories is a challenging task. The classical Kalman filter estimates track
parameters with uncertainties through prediction, filter, and smoother steps.
Precisely aligning detector components increases sensitivity to new physics and
improves particle identification efficiency. The ATLAS alignment solver requires
input information from the Kalman Filter. This project aims to implement a
Kalman Filter-based alignment strategy for the larger structures that will group
individual sensors in the ATLAS tracking framework to align the Inner Tracking
Detector (ITk).

Primary author

Lara Calic (Lund University)

Presentation materials

There are no materials yet.