Margaret Island Symposium 2023 on Particles & Plasmas

Session

Strong Fields and Cosmology

8 Jun 2023, 09:00

Ensana Hotel Margaret Island

Conveners

Strong Fields and Cosmology

• Johann Rafelski (University of Arizona)

Strong Fields and Cosmology

• David Blaschke

6. A First Look at Magnetism in the Cosmic e+e- Plasma Epoch

Andrew Steinmetz

08/06/2023, 09:00

We extrapolate today's magnetic properties of the Universe back to the electron-positron (e+e-) era to describe novel phenomena and self-magnetization. The cosmic e+e- plasma is the most recent era which could seed the residual large-scale extragalactic magnetic fields we see in the Universe today. This plasma epoch existed between temperatures 2 MeV > T > 0.02 MeV. We show that Big Bang...

5. Damped dynamic electron-positron plasma in the BBN epoch

Christopher Grayson

08/06/2023, 09:35

The big-bang nucleo-synthesis (BBN) occurs in a relatively dense electron-positron e-ē plasma environment, kept in thermal equilibrium by a very dense photon γ background. We describe and evaluate the static and dynamic electromagnetic properties of this unique physical environment. The collisional thermal damping/relaxation rate in the plasma is found by calculating the net electron-positron...

13. High intensity laser-particle interactions in Flying Focus regime

Martin Formanek

08/06/2023, 10:30

In this talk the “Flying Focus” (FF) regime will be introduced as a novel method of spatiotemporal laser pulse shaping [1,2]. In the FF regime, the intensity peak formed by the moving focal point can travel at any velocity, independent of the laser group velocity, over distances much longer than a Rayleigh range. This enables co-propagation of an ultra-relativistic particle beam with the laser...

28. Constraints on the Size of the Extra Compactified Dimensions from Compact Star Observations

Ms Anna Horvath

08/06/2023, 11:10

29. Self-Similar Solutions in Dark-Fluid Cosmology

Balázs Endre Szigeti (Wigner FK)

08/06/2023, 11:35

34. Application of deep learning in estimating the elliptic flow coefficient in heavy-ion collisions at the RHIC and LHC

MALLICK Neelkamal (Indian Inst. Tech., Indore)

08/06/2023, 12:00

Abstract: In recent years, deep learning has found many applications in the field of
high energy heavy-ion collisions. Deep learning technique provides a data-driven statistics based model which can help map the input and output observables. In such cases
the mapping function is difficult to formulate or is usually unknown. In this work, we
explore the prospects of using deep learning...