Nuclear and Particle Physics

Time for Hyperons - Towards Reconstruction of Long-Lived Particles with Free-Streaming Data at PANDA at FAIR

Name: Time for Hyperons - Towards Reconstruction of Long-Lived Particles with Free-Streaming Data at PANDA at FAIR
Start: 2020-05-07T10:30:00+02:00
End: 2020-05-07T12:30:00+02:00
Location: Zoom

by Jenny Regina (Uppsala University)

Thursday 7 May 2020, 10:30 → 12:30 Europe/Stockholm

621 0173 5359 (Zoom)

621 0173 5359

Zoom

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Description

Half-time PhD seminar

This will be a virtual seminar, and will be hosted in Zoom

Direct link: https://uu-se.zoom.us/j/62101735359

Meeting ID: 621 0173 5359

The PANDA (anti-Proton ANnihilation at DArmstadt) experiment at the future FAIR (Facility for Anti-proton and Ion Research) offers unique possibilities for performing hyperon physics. The almost full 4π coverage of the detector will enable the reconstruction of both hyperon and antihyperon which will be created together in proton-antiproton collisions. Hyperons are generally identified through their decay products and due to their relatively long-lived nature, the displaced decay vertices of the hyperons impose a particular challenge on the track reconstruction and event building.

Event rates up to 20 MHz and continuous detector readout make the event filtering at PANDA challenging. In addition, no hardware-based event selection will be possible due to the similarities between signal and background. PANDA will therefore utilize a fully software-based event filtering. Track reconstruction will be crucial for the online filtering where it will be used together with the event building.

In this talk I will address some hyperon channels of interest for PANDA and discuss my investigations of detector signatures from the decay channels Λ→pπ-, Ξ-→Λπ-→pπ-π- and Ω-→ΛK-→ K-pπ- where the hypeons have been produced in particle-antiparticle pairs. I will also talk about my development for tracking on free streaming data. In addition, I will discuss candidates for online track reconstruction algorithms for free streaming data based on a 4D Cellular Automaton clustering procedure and Riemann fitting. The Cellular Automaton procedure does not assume the interaction point as a constraint which makes it suitable for tracking hyperon decay products. The track reconstruction quality assurance procedure and the results from the tracking at different event rates are also presented.