RAGtime 24

Session

Waves and Fields in GR

14 Oct 2022, 11:30

Opava

Conveners

Waves and Fields in GR

• Daniel Charbulák

26. Phantom scalar field solution in the Weyl class

Otakar Svítek (Institute of Theoretical Physics, Charles University)

14/10/2022, 11:30

Online talk

We derive and analyze particularly simple phantom scalar field solution within the Weyl geometry comparing it with the Curzon--Chazy spacetime. We show that this solution contains a wormhole throat which connects to a region that behaves like a one-directional time machine. We investigate its conformal structure and analyze a non-scalar singularity appearing on the boundary of the spacetime...

33. String loop vibration

Mariia Churilova

14/10/2022, 11:50

Talk

In the vicinity of the black hole where the gravitational and
electromagnetic fields play important role, relativistic
magnetohydrodynamics (GRMHD) should be used as a good model for the accreting plasma. There is a formal equivalence between GRMHD equations and equations for dynamics of relativistic string: the current-carrying string loops could represent plasma exhibiting a string-like...

3. Distinguishing regular and singular black holes in modified gravity

Aleksandra Demyanova (Ulugh Beg Astronomical Institute Uzbekistan Academy of Sciences)

14/10/2022, 12:15

Online talk

This paper is devoted to investigate the possible ways of distinguishing regular and singular black holes (BHs) in modified gravity (MOG) called regular MOG (RMOG) and Schwarzschild MOG (SMOG) BHs through observational data from twin peak quasiperiodic oscillations (QPOs) which are generated by test particles in stable orbits around the BHs. The presence of MOG field causes to sufficiently the...

13. Recurrence quantification analysis of observed gravitational wave data generated by compact object mergers

Lenka Vozárová (Fyzikálny ústav v Opave)

14/10/2022, 12:30

Talk

Astonishing precision of gravitational wave detector LIGO
requires careful analysis of the signal with new data analysis
techniques. Recurrence quantification analysis is nonlinear method for
data analysis based on number and duration of recurrences in observed
data. It is especially useful for detection of deterministic behaviour
in apparently randomly distributed data generated by...