Bridging Plasma Scales: Micro-to-Macro Coupling in Cosmic-Ray Propagation and Its Implications for Cluster Radio Morphologies

Main Colloquium
Patrick Reichherzer
SCHEDULED
University of Oxford

Galaxy clusters host a zoo of radio morphologies—from compact bubbles and extended halos to sausages, bridges, and relics—all generated by cosmic rays (CRs) interacting with magnetic fields. The transport of these CRs across galaxy clusters reflects a reciprocal interaction across plasma scales. Large-scale processes (≳kpc) typically influence microscale behavior (~npc), but we show that microscale fluctuations—inherently patchy and intermittent in nature—shape large-scale radio morphologies in galaxy clusters by mediating CR propagation. This patchiness creates a heterogeneous medium where various plasma microinstabilities collectively affect CR transport. Our multi-scale simulations (kinetic to MHD) show a scale-dependent diffusion coefficient, with a transition at ~1–10 kpc: diffusion dominates below this scale, while advection takes over above it. This interplay shapes radio morphologies, revealing that microscale physics significantly affects macroscopic CR transport. We reveal that microscale physics isn't just driven—it actively sculpts the radio sky, offering testable predictions for next-generation observations.

Prospects of higher-order statistics in the era of next-generation galaxy surveys

Promotionskolloquium
Davit Alkhanishvili
SCHEDULED
AIfA, Bonn

The Lambda-CDM model is the standard in cosmology, with large-scale structure clustering measurements playing a key role in parameter constraints. Next-generation galaxy surveys highlight the growing importance of higher-order statistics like the bispectrum, which offers improved constraints but introduces computational challenges. This thesis focuses on modeling the bispectrum using perturbation theory to enhance its role in extracting cosmological information. First, we test next-to-leading order perturbation theory expansions using N-body simulations, finding that effective field theory (EFT) provides the most accurate small-scale predictions. We also assess the impact of systematic and statistical errors. Next, we demonstrate how deep neural networks can be employed to model survey geometry effects on the power spectrum and bispectrum, achieving high accuracy with efficient computation. Lastly, we evaluate a third-order galaxy bias expansion against synthetic Eucilid-like survey catalogues, demonstrating that combining the power spectrum and bispectrum allows accurate cosmological parameter extraction up to mildly non-linear scales, improving constraints by a factor of 2-5 over the power spectrum alone.

The BOAT that rocked: the multi-wavelength picture of GRB 221009A

Main Colloquium
Dr. Lauren Rhodes
SCHEDULED
McGill

The deaths of massive stars are sometimes accompanied by the launch of highly relativistic and collimated jets identified as gamma-ray bursts (GRBs). GRB 221009A has been dubbed the BOAT or brightest of all time for its record-breaking gamma-ray brightness. In this talk, I will present a summary of the observations conducted by my collaborators and I (Bright & Rhodes et al 2023, Fulton et al 2023, Rhodes et al 2024), resulting in comprehensive multi-wavelength coverage including the most detailed radio study of any GRB to date. At radio frequencies, it is also the brightest radio counterpart detected to date and our campaign spanned over three orders of magnitude in frequency space starting a few hours post burst and continuing to this day (over 900 days later). I will discuss the importance of such coverage for theoretical modelling and our understanding of jet geometry for all manner of jetted transients from tidal disruption events to x-ray binaries. Finally, I will present a brief overview of our plans to continue monitoring this fascinating object.