The gyrokinetic field invariant and electromagnetic temperature-gradient instabilities in ‘good-curvature’ plasmas

Journal of Plasma Physics Cambridge University Press 91:4 (2025) E95

Authors:

PG Ivanov, P Luhadiya, T Adkins, AA Schekochihin

Abstract:

Curvature-driven instabilities are ubiquitous in magnetised fusion plasmas. By analysing the conservation laws of the gyrokinetic system of equations, we demonstrate that the well-known spatial localisation of these instabilities to regions of ‘bad magnetic curvature’ can be explained using the conservation law for a sign-indefinite quadratic quantity that we call the gyrokinetic field invariant. Its evolution equation allows us to define the local effective magnetic curvature whose sign demarcates the regions of ‘good’ and ‘bad’ curvature, which, under some additional simplifying assumptions, can be shown to correspond to the inboard (high-field) and outboard (low-field) sides of a tokamak plasma, respectively. We find that, given some reasonable assumptions, electrostatic curvature-driven modes are always localised to the regions of bad magnetic curvature, regardless of the specific character of the instability. More importantly, we also deduce that any mode that is unstable in the region of good magnetic curvature must be electromagnetic in nature. As a concrete example, we present the magnetic-drift mode, a novel good-curvature electromagnetic instability, and compare its properties with the well-known electron-temperature-gradient instability. Finally, we discuss the relevance of the magnetic drift mode for high- fusion plasmas, and in particular its relationship with microtearing modes.

Measuring the beamlet divergence in NBI systems for fusion: A diagnostic comparison

Fusion Engineering and Design Elsevier 215 (2025) 114951

Authors:

Niek den Harder, Michael Barnes, Andreas Döring, Bernd Heinemann, Bruno Laterza, Isabella Mario, Antonio Pimazzoni, Carlo Poggi, Alessandro La Rosa, Emanuele Sartori, Beatrice Segalini, Gianluigi Serianni, Alastair Shepherd, Christian Wimmer, Dirk Wünderlich, Ursel Fantz

Hydrodynamic simulations of black hole evolution in AGN discs II: inclination damping for partially embedded satellites

(2025)

Authors:

Henry Whitehead, Connar Rowan, Bence Kocsis

Hydrodynamic simulations of black hole evolution in AGN discs I: orbital alignment of highly inclined satellites

(2025)

Authors:

Connar Rowan, Henry Whitehead, Gaia Fabj, Philip Kirkeberg, Martin E Pessah, Bence Kocsis

Detection prospects for the GW background of galactic (sub)solar mass primordial black holes

Journal of Cosmology and Astroparticle Physics IOP Publishing 2025:05 (2025) 036

Authors:

Frans van Die, Ivan Rapoport, Yonadav Barry Ginat, Vincent Desjacques

Abstract:

In multi-component dark matter models, a fraction f pbh of the dark matter could be in the form of primordial black holes (PBHs) with (sub)solar masses. Some would have formed binaries that presently trace the Milky Way halo of particle dark matter. We explore the gravitational wave (GW) signal produced by such a hypothetical population of Galactic PBH binaries and assess its detectability by the LISA experiment. For this purpose, we model the formation and evolution of early-type PBH binaries accounting for GW hardening and binary disruption in the Milky Way. Our analysis reveals that the present-day Galactic population of PBH binaries is characterized by very high orbital eccentricities |1-e| ≪ 1. For a PBH mass M pbh ∼ 0.1 - 1M ⊙, this yields a GW background that peaks in the millihertz frequency range where the LISA instrumental noise is minimum. While this signal remains below the LISA detection threshold for viable f pbh ≲ 0.01, future GW observatories such as DECIGO and BBO could detect it if 0.01 ≲ M pbh ≲ 0.1M ⊙. Furthermore, we anticipate that, after 5 years of observations, LISA should be able to detect 𝒪(100) (resp. 𝒪(1)) loud Galactic PBH binaries of mass M pbh ≲ 0.1 - 1M ⊙ with a SNR ≥ 5 if f pbh = 0.01 (resp. f pbh = 0.001). Nonlinear effects not considered here such as mass accretion and dynamical capture could alter these predictions.