trackreco.github.io - - Parallel Kalman Filter Tracking

Description: Parallel Kalman Filter Tracking Reconstruction

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The Large Hadron Collider (LHC) at CERN is the highest energy collider ever constructed. It consists of two counter-circulating proton beams made to interact in four locations around a 27 kilometer ring straddling the border between Switzerland and France. It is by some measures the largest man-made scientific device on the planet. The goal of the LHC is to probe the basic building blocks of matter and their interactions. For example, in 2012, the Higgs boson was discovered by the CMS and ATLAS collaboratio

The LHC collides proton beams at the center of our detectors. By measuring the energy and momentum of the escaping particles, we infer the existence of massive particles that were created in the collisions and measure the massive particles’ properties based on their decay products. The determination of the trajectories of charged particles ("tracks") from a set of positions of energy deposits from the various layers in our detector ("hits") plays a key role in identifying particles and measuring their charg

This project aims to develop fully vectorized and parallelized tracking algorithms based on the Kalman Filter for use in a collider experiment. The software will be usable with parallel architectures such as Intel Xeon processors and NVIDIA GPUs, yet maintain and extend the physics performance required for the challenges associated with the High Luminosity LHC (HL-LHC) planned for the 2020s.

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