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Extended temporal coarse-graining in a stratified and confined plasma under thermal fluctuations
Luca Barbieri, Simone Landi, Lapo Casetti, Andrea Verdini
https://arxiv.org/abs/2509.03149

Extended temporal coarse-graining in a stratified and confined plasma under thermal fluctuations
We present an extended investigation of a recently introduced model of gravitationally confined, collisionless plasma (Barbieri et al. 2024a), which showed that rapid temperature fluctuations at the base of the plasma, occurring on timescales much shorter than the electron crossing time, can drive the system into a non-thermal state characterized by anti-correlated temperature and density profiles, commonly referred to as temperature inversion. To describe this phenomenon, a temporal coarse-gra…

ICE Barbie's Boyfriend Fires Rivals in MAGA Night of Long Knives (Tom Latchem/The Daily Beast)
https://www.thedailybeast.com/ice-barbie-kristi-noems-boyfriend-corey-lewandowski-purges-ice-goons-in-maga-civil-war/
http://www.memeorandum.com/251028/p92#a251028p92

Topology meets superconductivity in a one-dimensional $t-J$ model of magnetic atoms
Leonardo Bellinato Giacomelli, Thomas Bland, Louis Lafforgue, Francesca Ferlaino, Manfred J. Mark, Luca Barbiero
https://arxiv.org/abs/2509.03387

Topology meets superconductivity in a one-dimensional $t-J$ model of magnetic atoms
Strongly interacting fermions represent the key constituent of several intriguing phases of matter. However, due to the inherent complexity of these systems, important regimes are still inaccessible. Here, we derive a realistic and flexible setup based on ultracold magnetic lanthanide atoms trapped in a one-dimensional optical lattice. Leveraging their large magnetic moments, we design a fermionic $t-J$ model with independently tunable hopping, spin-spin couplings, and onsite interaction. Throu…

🇺🇦 #NowPlaying on KEXP's #EasternEchoes
Shonen Knife:
🎵 Twist Barbie
#ShonenKnife
https://consumevalve.bandcamp.com/track/twist-barbie-2
https://open.spotify.com/track/18SRzkowfxldrjtgaq5ziC

CodeGenLink: A Tool to Find the Likely Origin and License of Automatically Generated Code
Daniele Bifolco, Guido Annicchiarico, Pierluigi Barbiero, Massimiliano Di Penta, Fiorella Zampetti
https://arxiv.org/abs/2510.01077

CodeGenLink: A Tool to Find the Likely Origin and License of Automatically Generated Code
Large Language Models (LLMs) are widely used in software development tasks nowadays. Unlike reusing code taken from the Web, for LLMs' generated code, developers are concerned about its lack of trustworthiness and possible copyright or licensing violations, due to the lack of code provenance information. This paper proposes CodeGenLink, a GitHub CoPilot extension for Visual Studio Code aimed at (i) suggesting links containing code very similar to automatically generated code, and (ii) whenever …

So this got me thinking:
Starter primers:
Andor: Leftism/resistance
Barbie: Feminism
Matrix: Philosophy
Good Place: Ethics/Moral Philosophy
Sesame Street: Coexistence
Mr. Rogers: Empathy
Gillian’s Island: Capitalist Theory
https://youtu.be/rsRjQDrDnY8

Replaced article(s) found for math.GR. https://arxiv.org/list/math.GR/new
[1/1]:
- Quasirandom and quasisimple groups
Marco Barbieri, Luca Sabatini
https://

Self-consistent generation of the ambipolar electric field in collisionless plasmas via multi-mode electrostatics
Luca Barbieri
https://arxiv.org/abs/2509.03142 https://

Self-consistent generation of the ambipolar electric field in collisionless plasmas via multi-mode electrostatics
In this work, we investigate the generation of the ambipolar electric field in a gravitationally stratified, collisionless plasma atmosphere. In such environments, gravity tends to separate charged species. To prevent separation an electric field, classically described by the Pannekoek-Rosseland expression, is usually imposed externally. Here, we propose a self-consistent method to recover this field based on a multi-mode Fourier expansion of the electrostatic interaction. We show that, under s…

A Scalable Framework for Safety Assurance of Self-Driving Vehicles based on Assurance 2.0
Shufeng Chen, Mariat James Elizebeth, Robab Aghazadeh Chakherlou, Xingyu Zhao, Eric Barbier, Siddartha Khastgir, Paul Jennings
https://arxiv.org/abs/2510.00092

A Scalable Framework for Safety Assurance of Self-Driving Vehicles based on Assurance 2.0
Assurance 2.0 is a modern framework developed to address the assurance challenges of increasingly complex, adaptive, and autonomous systems. Building on the traditional Claims-Argument-Evidence (CAE) model, it introduces reusable assurance theories and explicit counterarguments (defeaters) to enhance rigor, transparency, and adaptability. It supports continuous, incremental assurance, enabling innovation without compromising safety. However, limitations persist in confidence measurement, residu…