CTD2022: Linearized Track-Fitting on an FPGA
- 1. Ruprecht Karls Universitaet Heidelberg (DE)
- 2. Ruprecht-Karls-Universitaet Heidelberg (DE)
Description
For the ATLAS experiment at the High-Luminosity LHC, a hardware-based track-trigger was originally envisioned, which performs pattern recognition via AM ASICs and track fitting on an FPGA. A linearized track fitting algorithm is implemented in the Track-Fitter that receives track candidates as well as corresponding fit-constants from a database and performs the $\chi^2$-test of the track as well as calculates the helix-parameters. A prototype of the Track-Fitter has been set-up on a Intel Stratix 10 FPGA. Its firmware was tested in simulation-studies and verified on the hardware. The performance of the Track-Fitter has been evaluated in extensive > simulation studies and these results will be presented in this talk.
Files
talk.pdf
Files
(12.5 MB)
Name | Size | Download all |
---|---|---|
md5:499f67b732bf8bdcc1673a5395ad76d9
|
12.5 MB | Preview Download |
Additional details
Related works
- Is identical to
- Presentation: https://indico.cern.ch/event/1103637/contributions/4825738 (URL)
- Is part of
- https://cern.ch/CTD2022 (URL)