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Thesis topic proposal
 
Gábor Facskó
Developing an empirical bow shock model using deep learning codes

THESIS TOPIC PROPOSAL

Institute: Eötvös Loránd University, Budapest
earth sciences
Doctoral School of Earth Sciences

Thesis supervisor: Gábor Facskó
Location of studies (in Hungarian): Wigner Reseach Centre for Physics, Department of Space Physics and Space Technology
Abbreviation of location of studies: ELTE


Description of the research topic:

"
When I worked at the Finnish Meteorological Institute from 2010 to 2011 I developed an algorithm to determine the bow shock time and location from Cluster measurements. The task is to test the prediction abilities of the code and improve its capability using deep learning methods. The tested and improved code is applied for the measurements of the Cluster, Time History of Events, and Macroscale Interactions during Substorms (THEMIS) and other spacecraft to determine the time and location of the bow shock transitions. The candidate will create a new empirical bow shock model depending on the data of Advanced Composition Explorer (ACE) and Deep Space Climate Observatory (DSCOVR) solar wind monitoring spacecraft; furthermore the Kp and Dst geomagnetic indexes. "

Required language skills: English
Further requirements: 
programming skills, creativity, and ability to work independently
MSc in Physics, Geophysics, or Astronomy

Number of students who can be accepted: 1

Deadline for application: 2024-05-31


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
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