Tootfinder

Last evening of Christmas vacation before getting back to work for the new year.
Aiming to make it a good one. Working on GPU acceleration of the TIE filter and maybe the histogram block so I can do jitter analysis faster.
The peak at T=0 in the jitter histogram is related to use of the GPU CDR block and doesn't show up in the CPU implementation. It's likely caused by transients of some sort at thread block boundaries and I need to spend more time chasing it, I wouldn'…

Barring any last minute hesitations by Linus Torvalds,
Linux 6.18 stable is expected for release in a little more than 24 hours from now...
Linux 6.18 is also anticipated to become this year's Long Term Support (LTS) kernel version
in being the last major kernel release of 2025.
https://masto.ai/@phoro…

Phoronix (@phoronix@masto.ai)
Attached: 1 image CachyOS Improves Intel Video Acceleration Experience In addition to the release today of a big refresh to Endeavour OS, CachyOS is out with their latest ISO refresh for this additional Arch Linux powered desktop OS. CachyOS for its November 2025 refresh brings installer improvements, now installs additional packages for media acceleration when capable Intel graphics are detected, handling for Bcachefs with its DKMS module, and other improveme… https://www.phoronix.com/news…

A profile of Substrate, which uses particle acceleration to handle lithography, claiming to solve one of tech's toughest problems, and aims to compete with ASML (Bloomberg)
https://www.bloomberg.com/news/articles/20

Das CERN für's Wohnzimmer. Ist ja auch bald Weihnachten … #nerdcontent
https://spectrum.ieee.org/plasma-wakefield-acceleration

Plasma Wakefield Particle Accelerators Go Commercial
Room-sized particle accelerators are here! Learn how switching from electromagnetic fields to lasers shrinks these devices down from kilometers to meters.

The radial acceleration relation at the EDGE of galaxy formation - testing its universality in low-mass dwarf galaxies: #DarkMatter debate narrows thanks to dwarf galaxies: https://www.aip.de/en/news/dark-matter-debate-narrows/

Floquet resonances and redshift-enhanced acceleration radiation from vibrating atoms in Schwarzschild spacetime
Reggie C. Pantig, Ali \"Ovg\"un, Syed Masood, Li-Gang Wang
https://arxiv.org/abs/2510.11761

Floquet resonances and redshift-enhanced acceleration radiation from vibrating atoms in Schwarzschild spacetime
We study acceleration radiation from a two-level Unruh-DeWitt detector that undergoes small-amplitude radial oscillations at fixed mean radius $R_0$ outside a Schwarzschild black hole. The massless scalar field is quantized in the Boulware vacuum to isolate curvature-modulated acceleration effects without a thermal Hawking background. Working in a (1+1) radial reduction and using first-order time-dependent perturbation, we evaluate the period-averaged transition rate (or the "Floquet" transitio…

Modeling gamma-ray signatures of particle acceleration in stellar clusters from GeV to PeV
A. Inventar, S. Gabici, E. Peretti
https://arxiv.org/abs/2510.12562 https://

Modeling gamma-ray signatures of particle acceleration in stellar clusters from GeV to PeV
Young massive stellar clusters (YMSCs) have recently regained interest as PeVatron candidates, potentially accounting for the cosmic-ray (CR) knee as alternatives to isolated supernova remnants (SNRs). LHAASO's unique capability to detect photons above 0.1 PeV, hence tracing multi-PeV CRs, can provide critical constraints on galactic acceleration models when combined with H.E.S.S. and Fermi-LAT data. We investigate the transport of particles from YMSCs acceleration sites, namely wind terminatio…

State Constrained Optimal Control Problems With Control On The Acceleration. Applications To Kinetic Mean Field Games
Yves Achdou (LJLL)
https://arxiv.org/abs/2510.07332 https:/…

State Constrained Optimal Control Problems With Control On The Acceleration. Applications To Kinetic Mean Field Games
Relying on the careful study of a related problem in the calculus of variations, we study a class of optimal control problems in which the control lies on the acceleration, with state constraints on the position variable. In dimension one, we find explicit formulas in the special case when the running cost is a power of the acceleration (in absolute value) and the terminal cost is zero. For more general costs or/and higher dimensions, we study the singularities of the value function. We also pr…

Non-Gravitational Acceleration in 3I ATLAS: Constraints on Exotic Volatile Outgassing in Interstellar Comets
Florian Neukart
https://arxiv.org/abs/2511.07450 https://arxiv.org/pdf/2511.07450 https://arxiv.org/html/2511.07450
arXiv:2511.07450v1 Announce Type: new
Abstract: The interstellar comet 3I/ATLAS exhibited a measurable nongravitational acceleration similar in form to that of 1I/'Oumuamua but of smaller magnitude. Using thermophysical and Monte Carlo models, we show that this acceleration can be fully explained by anisotropic outgassing of conventional volatiles, primarily CO and CO2, under realistic surface and rotational conditions. The model includes diurnal and obliquity-averaged energy balance, empirical vapor-pressure relations, and collimated jet emission from localized active regions. Mixed CO-CO2 compositions reproduce both the magnitude and direction of the observed acceleration with physically plausible active fractions below one percent for nucleus radii between 0.5 and 3 km. Less volatile species such as NH3 and CH4 underproduce thrust at equilibrium temperatures near 1 AU. These results eliminate the need for nonphysical or exotic explanations and define thermophysical limits for natural acceleration mechanisms in interstellar comets.
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Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
Matthew Adrian, Yunsie Chung, Kevin Boyd, Saee Paliwal, Srimukh Prasad Veccham, Alan C. Cheng
https://arxiv.org/abs/2510.12719

Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
Chemical pretrained models, sometimes referred to as foundation models, are receiving considerable interest for drug discovery applications. The general chemical knowledge extracted from self-supervised training has the potential to improve predictions for critical drug discovery endpoints, including on-target potency and ADMET properties. Multi-task learning has previously been successfully leveraged to improve predictive models. Here, we show that enabling multitasking in finetuning of chemic…

"But catastrophes also tend to reveal deficits in society, and the patterns of destruction and abandonment that followed the fire—which have roots in America’s past and its present—tell us something about the country’s future, too."
https://www.theatlantic.com/magazine/2025/

What Climate Change Will Do to America by Mid-Century
Many places may become uninhabitable. Many people may be on their own.

ADiP: Adaptive Precision Systolic Array for Matrix Multiplication Acceleration
Ahmed J. Abdelmaksoud, Cristian Sestito, Shiwei Wang, Themis Prodromakis
https://arxiv.org/abs/2510.10623

ADiP: Adaptive Precision Systolic Array for Matrix Multiplication Acceleration
Transformers are at the core of modern AI nowadays. They rely heavily on matrix multiplication and require efficient acceleration due to their substantial memory and computational requirements. Quantization plays a vital role in reducing memory usage, and can be exploited for computations by designing reconfigurable architectures that enhance matrix multiplication by dynamically adjusting the precision. This paper proposes ADiP, a novel adaptive-precision systolic array architecture designed fo…

Has there ever been a scene of witches flying around on brooms in a movie that has realistic acceleration physics etc?
I'm picturing a pair of witches in tight formation at high altitude making a steep dive to pick up speed, then pull out at treetop height, a high G turn to line up for a low pass over a bunch of trick-or-treaters, then maybe getting a ping on their RWR when some grownups come into view.

Eine neue Studie des Woods Hole Oceanographic Institution zeigt, dass der #Meeresspiegelanstieg entlang der US-Küste deutlich schneller voranschreitet als bislang von offiziellen Stellen dargestellt.
Demnach hat sich die Anstiegsrate seit 1900 mehr als verdoppelt. Die Analyse widerspricht einem Bericht des US-Energieministeriums, der keine Beschleunigung erkannte.

New study finds sea level rise is speeding up, contradicting federal report
Research from the Woods Hole Oceanographic Institution finds the rate of U.S. coastal sea level rise has more than doubled in the past 125 years. The study contradicts a federal Department of Energy report issued in July, which found “no obvious acceleration in sea level rise” and downplayed the risks from rising seas.

Low Latency, High Bandwidth Streaming of Experimental Data with EJFAT
Ilya Baldin, Michael Goodrich, Vardan Gyurjyan, Graham Heyes, Derek Howard, Yatish Kumar, David Lawrence, Brad Sawatzky, Stacey Sheldon, Carl Timmer
https://arxiv.org/abs/2510.12597

Low Latency, High Bandwidth Streaming of Experimental Data with EJFAT
Thomas Jefferson National Accelerator Facility (JLab) has partnered with Energy Sciences Network (ESnet) to define and implement an edge to compute cluster computational load balancing acceleration architecture. The ESnet-JLab FPGA Accelerated Transport (EJFAT) architecture focuses on FPGA acceleration to address compression, fragmentation, UDP packet destination redirection (Network Address Translation (NAT)) and decompression and reassembly. EJFAT seamlessly integrates edge and cluster comp…

Charged scalar bosons under rotation and acceleration
M. Bordag, D. N. Voskresensky
https://arxiv.org/abs/2510.07438 https://arxiv.org/pdf/2510.07438

Charged scalar bosons under rotation and acceleration
Creation of charged spinless bosons from vacuum in the rigidly rotating frame is studied in presence of the external static electromagnetic fields, being formed either in the resting, or in the general rotating or in the local-flat frames. It is shown that the description remains the same in the resting and the local-flat frames. More specifically, the case of a solenoid (magnetic flux tube) embedded into the rotating empty cylinder (rotation frame) is studied in presence or absence of a static…

Acceleration of Ultrahigh Energy Particles from Fast Radio Bursts
Lin Yu, Tianxing Hu, Zhiyu Lei, Dong Wu, Suming Weng, Min Chen, Jie Zhang, Zhengming Sheng
https://arxiv.org/abs/2510.08037

Acceleration of Ultrahigh Energy Particles from Fast Radio Bursts
Two extreme events in the universe, fast radio bursts (FRBs) and cosmic rays (CRs), could be corelated, where FRBs with extreme field strength near their sources may contribute to CRs. This study investigates localized particle acceleration driven by FRB-like ultra-relativistic electromagnetic pulses. It is found ultra-high energy neutral plasma sheets form constantly via the front erosion of an FRB pulse. There are two ion acceleration regimes depending upon the field strength and the plasma d…

The size of #3I/ATLAS from non-gravitational acceleration: https://arxiv.org/abs/2512.18341 -> "we find diameters between 820 meters and 1050 meters [...] reliable estimates of the mass loss rate at other stages of the comet's trajectory will substantially reduce the systematic uncertainty in this estimate."

Halpern Acceleration of the Inexact Proximal Point Method of Rockafellar
Liwei Zhang, Fanli Zhuang, Ning Zhang
https://arxiv.org/abs/2511.10372 https://arxiv.org/pdf/2511.10372 https://arxiv.org/html/2511.10372
arXiv:2511.10372v1 Announce Type: new
Abstract: This paper investigates a Halpern acceleration of the inexact proximal point method for solving maximal monotone inclusion problems in Hilbert spaces. The proposed Halpern inexact proximal point method (HiPPM) is shown to be globally convergent, and a unified framework is developed to analyze its worst-case convergence rate. Under mild summability conditions on the inexactness tolerances, HiPPM achieves an $\mathcal{O}(1/k^{2})$ rate in terms of the squared fixed-point residual. Furthermore, under additional mild condition, the method retains a fast linear convergence rate. Building upon this framework, we further extend the acceleration technique to constrained convex optimization through the augmented Lagrangian formulation. In analogy to Rockafellar's classical results, the resulting accelerated inexact augmented Lagrangian method inherits the convergence rate and complexity guarantees of HiPPM. The analysis thus provides a unified theoretical foundation for accelerated inexact proximal algorithms and their augmented Lagrangian extensions.
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ICE Contracts Company Making Bounty Hunter AI Agents https://www.404media.co/ice-contracts-company-making-bounty-hunter-ai-agents/

torchsom: The Reference PyTorch Library for Self-Organizing Maps
Louis Berthier, Ahmed Shokry, Maxime Moreaud, Guillaume Ramelet, Eric Moulines
https://arxiv.org/abs/2510.11147 …

torchsom: The Reference PyTorch Library for Self-Organizing Maps
This paper introduces torchsom, an open-source Python library that provides a reference implementation of the Self-Organizing Map (SOM) in PyTorch. This package offers three main features: (i) dimensionality reduction, (ii) clustering, and (iii) friendly data visualization. It relies on a PyTorch backend, enabling (i) fast and efficient training of SOMs through GPU acceleration, and (ii) easy and scalable integrations with PyTorch ecosystem. Moreover, torchsom follows the scikit-learn API for e…

Injector for dielectric laser accelerators based on an ultracold electron source and a magnet design avoiding apparent emittance growth
Ameya Patwardhan, Simona Borrelli, Bas van der Geer, Jom Luiten, Julius Huijts
https://arxiv.org/abs/2510.09831

Injector for dielectric laser accelerators based on an ultracold electron source and a magnet design avoiding apparent emittance growth
Dielectric Laser Acceleration holds the promise of extremely high acceleration gradients in laser-driven miniaturized accelerator structures. However, sub-relativistic experimental demonstration has so far been limited by bunch charges well below 1 electron per bunch due to the low acceptance of these 'accelerator-on-a-chip' devices. Here, we propose a novel design for an injector tailor made for dielectric laser acceleration, based on just-above-threshold ionization of laser-cooled atoms. The …

Calibrated Dynamic Modeling for Force and Payload Estimation in Hydraulic Machinery
Lennart Werner, Pol Eyschen, Sean Costello, Pierluigi Micarelli, Marco Hutter
https://arxiv.org/abs/2510.11574

Calibrated Dynamic Modeling for Force and Payload Estimation in Hydraulic Machinery
Accurate real-time estimation of end effector interaction forces in hydraulic excavators is a key enabler for advanced automation in heavy machinery. Accurate knowledge of these forces allows improved, precise grading and digging maneuvers. To address these challenges, we introduce a high-accuracy, retrofittable 2D force- and payload estimation algorithm that does not impose additional requirements on the operator regarding trajectory, acceleration or the use of the slew joint. The approach is …

And here is now also a spectrum of #comet #3I/ATLAS taken during the #ShadowTheScientists session on 26 November, from https://www.astronomerstelegram.org/?read=17561 - CN (388 nm), C3 (402 nm) and C2 (474 nm/517 nm) are detected. Meanwhile the paper https://arxiv.org/abs/2512.18341 concludes from the non-gravitational acceleration that the diameter of the comet's nucleus is 820 to1050 m.

Efficient In-Memory Acceleration of Sparse Block Diagonal LLMs
Jo\~ao Paulo Cardoso de Lima, Marc Dietrich, Jeronimo Castrillon, Asif Ali Khan
https://arxiv.org/abs/2510.11192 h…

Efficient In-Memory Acceleration of Sparse Block Diagonal LLMs
Structured sparsity enables deploying large language models (LLMs) on resource-constrained systems. Approaches like dense-to-sparse fine-tuning are particularly compelling, achieving remarkable structured sparsity by reducing the model size by over 6.7x, while still maintaining acceptable accuracy. Despite this reduction, LLM inference, especially the decode stage being inherently memory-bound, is extremely expensive on conventional Von-Neumann architectures. Compute-in-memory (CIM) architectur…

Impact of Cosmic Ray Acceleration on the Early Evolution of Bow Shocks around Massive Runaway Stars
Keito Watanabe, Stefanie Walch, Tim-Eric Rathjen, Jonathan Mackey, Pierre N\"urnberger, Philipp Girichidis
https://arxiv.org/abs/2510.11988

Impact of Cosmic Ray Acceleration on the Early Evolution of Bow Shocks around Massive Runaway Stars
Bow shocks generated from the interaction of winds from massive runaway stars with the interstellar medium have been shown to be prominent particle accelerators through recent $γ$-ray and radio synchrotron observations. Here, we study particle acceleration from bow shocks by conducting 3D ideal cosmic ray magnetohydrodynamic simulations in the advection-diffusion limit. We use the Eulerian grid-based code FLASH, where stellar winds are injected through tabulated wind velocities and mass loss r…

Enigmatic centi-SFU and mSFU nonthermal radio transients detected in the middle corona
Surajit Mondal, Bin Chen, Sijie Yu, Xingyao Chen, Peijin Zhang, Dale Gary, Marin M. Anderson, Judd D. Bowman, Ruby Byrne, Morgan Catha, Sherry Chhabra, Larry D Addario, Ivey Davis, Jayce Dowell, Gregg Hallinan, Charlie Harnach, Greg Hellbourg, Jack Hickish, Rick Hobbs, David Hodge, Mark Hodges, Yuping Huang, Andrea Isella, Daniel C. Jacobs, Ghislain Kemby, John T. Klinefelter, Matthew Kolopanis, Niki…

Enigmatic centi-SFU and mSFU nonthermal radio transients detected in the middle corona
Decades of solar coronal observations have provided substantial evidence for accelerated particles in the corona. In most cases, the location of particle acceleration can be roughly identified by combining high spatial and temporal resolution data from multiple instruments across a broad frequency range. In almost all cases, these nonthermal particles are associated with quiescent active regions, flares, and coronal mass ejections (CMEs). Only recently, some evidence of the existence of nonther…

Investigating Matrix Repartitioning to Address the Over- and Undersubscription Challenge for a GPU-based CFD Solver
Gregor Olenik, Marcel Koch, Hartwig Anzt
https://arxiv.org/abs/2510.08536

Investigating Matrix Repartitioning to Address the Over- and Undersubscription Challenge for a GPU-based CFD Solver
Modern high-performance computing (HPC) increasingly relies on GPUs, but integrating GPU acceleration into complex scientific frameworks like OpenFOAM remains a challenge. Existing approaches either fully refactor the codebase or use plugin-based GPU solvers, each facing trade-offs between performance and development effort. In this work, we address the limitations of plugin-based GPU acceleration in OpenFOAM by proposing a repartitioning strategy that better balances CPU matrix assembly and GP…

Replaced article(s) found for cs.NE. https://arxiv.org/list/cs.NE/new
[1/1]:
- Enabling Population-Level Parallelism in Tree-Based Genetic Programming for GPU Acceleration
Zhihong Wu, Lishuang Wang, Kebin Sun, Zhuozhao Li, Ran Cheng

Safely simplifying redshift drift computations in inhomogeneous cosmologies: Insights from LTB Swiss-cheese models
David R{\o}nne Sallingboe, Sofie Marie Koksbang
https://arxiv.org/abs/2510.09377

Safely simplifying redshift drift computations in inhomogeneous cosmologies: Insights from LTB Swiss-cheese models
One of the most important discoveries in cosmology is the accelerated expansion of the Universe. Yet, the accelerated expansion has only ever been measured {\em in}directly. Redshift drift offers a direct observational probe of the Universe's expansion history, with its sign revealing whether there has been acceleration or deceleration between source and observer. Its detection will mark a major milestone in cosmology, offering the first direct measurement of an evolving expansion rate. Given i…

Probing the Physics of Dusty Outflows through Complex Organic Molecules in the Early Universe
Andrey Vayner, Tanio D\'iaz-Santos, Carl D. Ferkinhoff, Peter R. M. Eisenhardt, Daniel Stern, Lee Armus, Brandon S. Hensley, Daniel Angl\'es-Alc\'azar, Roberto J. Assef, Rom\'an Fern\'andez Aranda, Andrew W. Blain, Hyunsung D. Jun, Norman W. Murray, Shelley Wright, Chao-Wei Tsai, Thomas Lai, Niranjan Chandra Roy, Drew Brisbin, Manuel Aravena, Jorge Gonz\'alez-L\'ope…

Probing the Physics of Dusty Outflows through Complex Organic Molecules in the Early Universe
Galaxy-scale outflows are of critical importance for galaxy formation and evolution. Dust grains are the main sites for the formation of molecules needed for star formation but are also important for the acceleration of outflows that can remove the gas reservoir critical for stellar mass growth. Using the MIRI medium-resolution integral field spectrograph aboard the James Webb Space Telescope (JWST), we detect the 3.28 $μ$m aromatic and the 3.4 $μ$m aliphatic hydrocarbon dust features in abso…

Replaced article(s) found for math.AP. https://arxiv.org/list/math.AP/new
[1/1]:
- Sharp exponent of acceleration in general nonlocal equations with a weak Allee effect
Emeric Bouin, J\'er\^ome Coville, Guillaume Legendre

Argus: JAX state-space filtering for gravitational wave detection with a pulsar timing array
Tom Kimpson, Nicholas J. O'Neill, Patrick M. Meyers, Andrew Melatos
https://arxiv.org/abs/2510.11077

Argus: JAX state-space filtering for gravitational wave detection with a pulsar timing array
Argus is a high-performance Python package for detecting and characterising nanohertz gravitational waves in pulsar timing array data. The package provides a complete Bayesian inference framework based on state-space models, using Kalman filtering for efficient likelihood evaluation. Argus leverages JAX for just-in-time compilation, GPU acceleration, and automatic differentiation, facilitating rapid Bayesian inference with gradient-based samplers. The state-space approach provides a computation…

Spent the day tinkering with trying to make #unnamedpopulartilingwindowmanager run in an Armbian VM on my mac with VirGL. Alacritty and kitty don't play nice with acceleration and software rendering has to be used.
Felt like kind of a waste of time, but I guess it was healthy to mess with desktop Linux for a change..

Statistics of Current and Vorticity Structures in Relativistic Turbulence
Zachary Davis, Luca Comisso, Colby Haggerty, Joonas N\"attil\"a
https://arxiv.org/abs/2510.09126

Statistics of Current and Vorticity Structures in Relativistic Turbulence
Coherent structures created through turbulent cascades play a key role in energy dissipation and particle acceleration. In this work, we investigate both current and vorticity sheets in 3D particle-in-cell simulations of decaying relativistic turbulence in pair plasma by training a self-organizing map to recognize these structures. We subsequently carry out an extensive statistical analysis to reveal their geometric and structural properties. This analysis is systematically applied across a ran…

Packaging of Low-Environmental-Sensitivity WGM Resonators for Practical Applications
Jiajun Wu, Xuanqi Wang, Chengyu Zhang, Chenghong Li, Shan Zhong, Songbai Kang
https://arxiv.org/abs/2510.10939

Packaging of Low-Environmental-Sensitivity WGM Resonators for Practical Applications
We present a prism-coupled packaging strategy for whispering-gallery mode resonators (WGMRs). Utilizing an all-solid-state optical adhesive process with active temperature control and hermetic sealing, the package exhibits exceptional long-term stability and environmental robustness. A standalone WGMR module was characterized, demonstrating a temperature sensitivity below 10^-7 /°C and a low-frequency Z-axis acceleration sensitivity below 10^-10 /g. The module was applied as a stable optical f…

An Eulerian Perspective on Straight-Line Sampling
Panos Tsimpos, Youssef Marzouk
https://arxiv.org/abs/2510.11657 https://arxiv.org/pdf/2510.11657

An Eulerian Perspective on Straight-Line Sampling
We study dynamic measure transport for generative modeling: specifically, flows induced by stochastic processes that bridge a specified source and target distribution. The conditional expectation of the process' velocity defines an ODE whose flow map achieves the desired transport. We ask \emph{which processes produce straight-line flows} -- i.e., flows whose pointwise acceleration vanishes and thus are exactly integrable with a first-order method? We provide a concise PDE characterization of s…

Cosmology in the Hoyle Narlikar gravity
J. K. Singh, Sonal Aggarwal, Shaily, Hamid Shabani
https://arxiv.org/abs/2510.11762 https://arxiv.org/pdf/2510.117…

Cosmology in the Hoyle Narlikar gravity
In this paper, we study the late time cosmic acceleration of the Quintessence model within the framework of Hoyle Narlikar Gravity, consisting of a creation field. Using the Hubble tension as a function of the density parameter for matter, the density parameter for radiation, and the density parameter for dark energy in the covariant formulation, we find the gravitational field equations in the spatially flat, homogeneous, and isotropic spacetime to examine the dynamical mechanism that leads to…

Differentiable Particle Optimization for Fast Sequential Manipulation
Lucas Chen, Shrutheesh Raman Iyer, Zachary Kingston
https://arxiv.org/abs/2510.07674 https://

Differentiable Particle Optimization for Fast Sequential Manipulation
Sequential robot manipulation tasks require finding collision-free trajectories that satisfy geometric constraints across multiple object interactions in potentially high-dimensional configuration spaces. Solving these problems in real-time and at large scales has remained out of reach due to computational requirements. Recently, GPU-based acceleration has shown promising results, but prior methods achieve limited performance due to CPU-GPU data transfer overhead and complex logic that prevents…

On the Propagation and Damping of Alfvenic Fluctuations in the Outer Solar Corona and Solar Wind
Nikos Sioulas, Marco Velli, Chen Shi, Trevor A. Bowen, Alfred Mallet, Andrea Verdini, B. D. G. Chandran, Anna Tenerani, Jean-Baptiste Dakeyo, Stuart D. Bale, Davin Larson, Jasper S. Halekas, Lorenzo Matteini, Victor R\'eville, C. H. K. Chen, Orlando M. Romeo, Mingzhe Liu, Roberto Livi, Ali Rahmati, P. L. Whittlesey

On the Propagation and Damping of Alfvenic Fluctuations in the Outer Solar Corona and Solar Wind
We analyze \textit{Parker Solar Probe} and \textit{Solar Orbiter} observations to investigate the propagation and dissipation of Alfvénic fluctuations from the outer corona to 1~AU. Conservation of wave-action flux provides the theoretical baseline for how fluctuation amplitudes scale with the Alfvén Mach number $M_a$, once solar-wind acceleration is accounted for. Departures from this scaling quantify the net balance between energy injection and dissipation. Fluctuation amplitudes follow wav…

"Iran inaugurates 250 MW of new solar plants"
#Iran #SolarPower #Energy #Renewables

Iran inaugurates 250 MW of new solar plants
Speaking at an inauguration ceremony that also marked the start of a further 450 MW of solar plants, Iran’s President said the government is prepared to remove any obstacles facing the acceleration of new solar projects.

Effect of Finite-Temperature $\beta$-Decay Rates on the Rapid Neutron Capture Process
Yukiya Saito, Ante Ravli\'c, Pranav Nalamwar, Rebecca Surman
https://arxiv.org/abs/2510.08772

Effect of Finite-Temperature $β$-Decay Rates on the Rapid Neutron Capture Process
$β$-decay is known to play an essential role in the rapid neutron capture process ($r$-process) during $(n, γ) \leftrightarrow (γ, n)$ equilibrium and freeze-out when the neutron-rich nuclei decay back to stability. Recent systematic theoretical studies on $β$-decay at finite temperature indicated that under hot conditions ($T\sim10$~GK), a significant acceleration of $β$-decay rates is expected, especially for nuclei near stability. This corresponds to the early stage of the $r$-process. …

Finally an RGB image of comet #3IATLAS from images taken by #GeminiNorth during the 26 November #shadowTheScientists session: https://noirlab.edu/public/news/noirlab2532/ - the coma has become bluer due to more gas emission. Also published today: an X-ray image by XMM-Newton at https://www.esa.int/ESA_Multimedia/Images/2025/12/XMM-Newton_sees_comet_3I_ATLAS_in_X-ray_light with explanations in http://www.cbat.eps.harvard.edu/iau/cbet/005600/CBET005646.txt which also contains more 3I news.
Meanwhile the paper https://iopscience.iop.org/article/10.3847/2515-5172/ae2915 claims an upper limit for 3I's nucleus diameter of only some 750 meters from the measured non-gravitational acceleration (NGA) parameters: that would be waaay more stringent than the 5.6 km upper limit from early Hubble observations reported in https://iopscience.iop.org/article/10.3847/2041-8213/adf8d8 (where also a lower limit of 440 meters is stated).

Tides from the cloud can induce the fast disruption of star clusters and offer an explanation for Gaia strings
Xiao-Tong Chen, Guang-Xing Li
https://arxiv.org/abs/2510.08913 htt…

Tides from the cloud can induce the fast disruption of star clusters and offer an explanation for Gaia strings
Young stars form in clusters within molecular clouds, but older stars are evenly distributed across the galactic disk, necessitating an explanation for cluster dissolution. We analytically study tidal forces from cold molecular clouds as a key mechanism for accelerated cluster disruption. Cloud tides, caused by the gravitational pull of the parent cloud along the radial direction, arise from the spatial gradient of gravitational acceleration and drive cluster disruption. This mechanism activate…

Mozart: A Chiplet Ecosystem-Accelerator Codesign Framework for Composable Bespoke Application Specific Integrated Circuits
Haoran Jin, Jirong Yang, Yunpeng Liu, Barry Lyu, Kangqi Zhang, Nathaniel Bleier
https://arxiv.org/abs/2510.08873

Mozart: A Chiplet Ecosystem-Accelerator Codesign Framework for Composable Bespoke Application Specific Integrated Circuits
Modern AI acceleration faces a fundamental challenge: conventional assumptions about memory requirements, batching effectiveness, and latency-throughput tradeoffs are systemwide generalizations that ignore the heterogeneous computational patterns of individual neural network operators. However, going towards network-level customization and operator-level heterogeneity incur substantial Non-Recurring Engineering (NRE) costs. While chiplet-based approaches have been proposed to amortize NRE costs…

EVs are surprisingly powerful. This is not an endorsement to drive badly, but here's a relevant anecdote.
Yesterday, I was moving along our local freeway just above the posted 110kph limit when I started to get boxed in by some silly drivers doing silly things and acting erractically.
In order to avoid any possibility of a bad situation, I moved into the passing lane and accelerated quickly to go around someone and separate myself from the crowd.
I stepped on the “gas” and easily went around the person in a few seconds… then I looked down and realized I was doing 150kph.
Whoa horsey!🐎
I pulled back into the travelling lane and slowed down to 115kph.
That kind of acceleration, especially at that already high cruising speed, just wasn’t possible in any other car I've ever owned.
EVs are great, but they are still vehicles that can reach dangerously high speeds.
Here's another anecdote: Last week my daughter was very nearly run over by a truck as she was walking in a crosswalk. She was halfway across the street when an (oversized) pickup truck turned left across her, completely on a red light. She is relatively small in stature, her head would have barely been above the hood of the truck.
She saw it at the last second and jumped back... the truck missed by inches. Another car at the intersection honked at the truck. It stopped in the crosswalk, the driver gave HER a dirty look, and zoomed off. The car driver who honked leaned out the window and kindly asked if she was ok. She was.
Driving is the most dangerous thing we do on a daily basis.. for ourselves, and everyone around us. Take care out there friends.
#Driving #Commuter #EVs #Transportation #PublicTransit #Pedestrians
https://flipboard.com/@insideevs/insideevs-diuanki5z/-/a-ngD5hVuiSdatWdkb-4BdLw:a:2577024118-/0

Gamma-rays from Wolf-Rayet stellar winds
A. Inventar, G. Peron, S. Recchia, S. Gabici
https://arxiv.org/abs/2510.12510 https://arxiv.org/pdf/2510.12510

Gamma-rays from Wolf-Rayet stellar winds
Gamma-ray observations of young star clusters have recently provided evidence for particle acceleration occurring at stellar wind termination shocks, fueled by the mechanical energy of stellar winds from massive stars. In this work, we explore the possibility that the wind from a single powerful star, whether isolated or part of a cluster, can alone provide sufficient energy to generate gamma-ray emission detectable by current instruments. This scenario is particularly relevant given that a sig…