- Bachelor-/Masterarbeit -

Beschreibung:

Black holes have always been great mysteries of the universe and took attention of many scientists from various disciplines. After the imaging of a supermassive black hole with Event Horizon Telescope in 2019, the attention has increased even more. The first studies to use machine learning to estimate the parameters of black holes have been started. With this project, we aim to be one of the first in that field.

The goal of the project is to estimate the masses of supermassive black holes (SMBH). SMBHs are the largest type of black holes. A SMBH’s mass can vary from millions to billions times the mass of the sun. They are located in the center of galaxies. Their masses are estimated using some properties of the active core of the galaxy that they are located in. 

AGN dataset will be used for training the machine learning model. It keeps the data of the supermassive black holes that has been observed until this day. The data consists of a small number of features, which makes training computationally cheap. 

Anforderungen/Kenntnisse:
Machine Learning - Basic

Betreuung:

Prof. Dr. rer.nat. habil. Sven Groppe

Institut für Informationssysteme
Ratzeburger Allee 160 ( Gebäude 64 - 2. OG)
23562 Lübeck
Telefon: 0451 / 3101 5706

Umut Çalıkyılmaz

Institut für Informationssysteme
Ratzeburger Allee 160 ( Gebäude 64 - 2. OG)
23562 Lübeck
Telefon: 0451 / 3101 5724