ELFT HÍRADÓ

[Ferenc Siklér <sikler.ferenc AT wigner.hu>]

Kedves kollégák,

 Meghívunk minden érdeklődőt a Wigner FK Nagyenergiás Fizikai Osztályának jövő 
hétfői szemináriumára, május 23., 10:00-ra.

 Részletek itt, absztrakt alább:
 https://indico.wigner.hu/event/1390/

 [Az előadás a zoom-on keresztül is követhető, csatlakozási infók a fenti 
leírásban.]

---
Mihály Pocsai (Wigner RCP)

Determination of geometrical dimensions of a rubidium plasma channel with 
machine learning methods

Abstract: Plasma based particle acceleration is a hot topic of contemporary 
physics. The CERN - AWAKE Experiment aims to accelerate electrons in the 
wakefield of a train of proton microbunches in rubidium plasma. The plasma is 
created by an intense, infra-red laser pulse via photoionisation in a tenuous 
rubidium vapour. The vapor is 10 meters long and has a diameter of a few 
centimeters. In the experiment it is essential to determine the geometrical 
dimensions of the plasma channel, namely, the location of the center of the 
channel within the vacuum chamber, the width of the fully ionised region and 
the characteristic lenght of the transition region between the plasma and the 
vapour. In the experiment, the plasma channel is investigated in a 
Schlieren-imaging setup. However, determining the relevant geometrical 
dimensions from the Schlieren-signals is not a simple task. For this purpose, 
we used a machine learning approach. We constructed different neural networks 
that were able to predict the geometrical parameters of the plasma channel with 
high accuracy. We also tested the sensitivity of our networks for errors that 
can be present in the experiments and found that for slight errors, the 
predictions still remain valid, furthermore, the robustness of our models 
against these errors can be enhanced efficiently.
---

Üdvözlettel,
 Siklér Ferenc