Tootfinder

Parallel Nested Slice Sampling for Gravitational Wave Parameter Estimation
David Yallup, Metha Prathaban, James Alvey, Will Handley
https://arxiv.org/abs/2509.24949 https://

Parallel Nested Slice Sampling for Gravitational Wave Parameter Estimation
Inferring parameters and testing hypotheses from gravitational wave signals is a computationally intensive task central to modern astrophysics. Nested sampling, a Bayesian inference technique, has become an established standard for this in the field. However, most common implementations lack the ability to fully utilize modern hardware acceleration. In this work, we demonstrate that when nested sampling is reformulated in a natively vectorized form and run on modern GPU hardware, we can perform…

VLT/MUSE Detection of the AB Aurigae b Protoplanet with $H _{\rm \alpha}$ Spectroscopy
Thayne Currie, Jun Hashimoto, Yuhiko Aoyama, Ruobing Dong, Misato Fukagawa, Takayuki Muto, Erica Dykes, Mona El Morsy, Motohide Tamura
https://arxiv.org/abs/2508.18351

VLT/MUSE Detection of the AB Aurigae b Protoplanet with $H _{\rm α}$ Spectroscopy
We analyze high-contrast, medium-spectral-resolution $H_{\rm α}$ observations of the star AB Aurigae using the Very Large Telescope's Multi Unit Spectroscopic Explorer (MUSE). In multiple epochs, MUSE detects the AB Aur b protoplanet discovered from Subaru/SCExAO data in emission at wavelengths slightly blue-shifted from the $H_{\rm α}$ line center (i.e. at 6558.88--6560.13 Å; $\sim$ -100 km s$^{-1}$) and in absorption at redshifted wavelengths (6562.8--6565.1 Å; $\sim$ 75 km s$^{-1}$). AB …

A Sentinel-3 foundation model for ocean colour
Geoffrey Dawson, Remy Vandaele, Andrew Taylor, David Moffat, Helen Tamura-Wicks, Sarah Jackson, Rosie Lickorish, Paolo Fraccaro, Hywel Williams, Chunbo Luo, Anne Jones
https://arxiv.org/abs/2509.21273

A Sentinel-3 foundation model for ocean colour
Artificial Intelligence (AI) Foundation models (FMs), pre-trained on massive unlabelled datasets, have the potential to drastically change AI applications in ocean science, where labelled data are often sparse and expensive to collect. In this work, we describe a new foundation model using the Prithvi-EO Vision Transformer architecture which has been pre-trained to reconstruct data from the Sentinel-3 Ocean and Land Colour Instrument (OLCI). We evaluate the model by fine-tuning on two downstrea…

Agentic Aerial Cinematography: From Dialogue Cues to Cinematic Trajectories
Yifan Lin, Sophie Ziyu Liu, Ran Qi, George Z. Xue, Xinping Song, Chao Qin, Hugh H. -T. Liu
https://arxiv.org/abs/2509.16176

Agentic Aerial Cinematography: From Dialogue Cues to Cinematic Trajectories
We present Agentic Aerial Cinematography: From Dialogue Cues to Cinematic Trajectories (ACDC), an autonomous drone cinematography system driven by natural language communication between human directors and drones. The main limitation of previous drone cinematography workflows is that they require manual selection of waypoints and view angles based on predefined human intent, which is labor-intensive and yields inconsistent performance. In this paper, we propose employing large language models (…

FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation
Shaswata Mitra, Azim Bazarov, Martin Duclos, Sudip Mittal, Aritran Piplai, Md Rayhanur Rahman, Edward Zieglar, Shahram Rahimi
https://arxiv.org/abs/2508.18684

FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation
Signature-based Intrusion Detection Systems (IDS) detect malicious activities by matching network or host activity against predefined rules. These rules are derived from extensive Cyber Threat Intelligence (CTI), which includes attack signatures and behavioral patterns obtained through automated tools and manual threat analysis, such as sandboxing. The CTI is then transformed into actionable rules for the IDS engine, enabling real-time detection and prevention. However, the constant evolution o…

Runaway origins of a disc mass gradient in $\sigma$ Orionis
Gavin A. L. Coleman, Thomas J. Haworth, Jinyoung Serena Kim
https://arxiv.org/abs/2509.20227 https://

Runaway origins of a disc mass gradient in $σ$ Orionis
Radiation from massive stars is known to significantly affect the evolution of protoplanetary discs around surrounding stars by driving external photoevaporative winds. Typically most studies assume that the massive stars driving these winds are comoving with their associated clusters. However, it is also known that massive stars can be runaways, after being violently ejected from their birth environment through interactions with other massive stars. In this letter, we show that the well studie…

A proud achievement of my half-century IT career happened in 1996 consulting to the #UNDP toward the first published edition of the Humanity Development Library.
It seemed easy enough: "It can be fairly estimated that 1/3, or about 20 million pages of UN, and as much University and NGO material are very useful. Those 20 million pages useful UN publications probably contain about 50% of solutions for major World problems. This information must be released in digital format for non-profit redistribution in all countries."
also portable and accessible to all platforms, everywhere.
Happily, not only did the project live on, but thanks to @… our once-intractable problem of global delivery is now globally solved!
So, whether or not this is timely, I don't know, but should you need to suddenly rebuild some semblance of civilization from scratch…
Humanity Development Library 2.0 CD-ROM 1998 : #HumanityLibrariesProject : #InternetArchive
https://archive.org/details/humanity-development-library-2.0

In-Context Clustering with Large Language Models
Ying Wang, Mengye Ren, Andrew Gordon Wilson
https://arxiv.org/abs/2510.08466 https://arxiv.org/pdf/2510.08…

In-Context Clustering with Large Language Models
We propose In-Context Clustering (ICC), a flexible LLM-based procedure for clustering data from diverse distributions. Unlike traditional clustering algorithms constrained by predefined similarity measures, ICC flexibly captures complex relationships among inputs through an attention mechanism. We show that pretrained LLMs exhibit impressive zero-shot clustering capabilities on text-encoded numeric data, with attention matrices showing salient cluster patterns. Spectral clustering using attenti…

Puffed-up Inner Rings and Razor-thin Outer Rings in Structured Protoplanetary Disks
Haochang Jiang, Feng Long, Enrique Mac\'ias, Myriam Benisty, Kiyoaki Doi, Cornelis P. Dullemond, Ryan A. Loomis, Ilaria Pascucci, Sebasti\'an P\'erez, Shangjia Zhang, Zhaohuan Zhu
https://arxiv.org/abs/2509.13122…

Puffed-up Inner Rings and Razor-thin Outer Rings in Structured Protoplanetary Disks
The vertical distribution of pebbles in protoplanetary disks is a fundamental property influencing planet formation, from dust aggregation to the assembly of planetary cores. In the outer region of protoplanetary disks, the intensity of the optically thin but geometrically thick dust ring decreases along the minor axis due to reduced line-of-sight optical depth. Multi-ring disks thus provide an excellent opportunity to study the radial variation of the vertical properties of dust. We investigat…

Primordial planet spin driven by boundary layer effects in a decretion disc
Rebecca G. Martin, Stephen H. Lubow, David Vallet, Madeline Overton, Stephen Lepp, Zhaohuan Zhu, Shunquan Huang
https://arxiv.org/abs/2508.09273

Primordial planet spin driven by boundary layer effects in a decretion disc
Accretion of material from a protoplanetary disc on to a forming giant planet can spin the planet up to close to its breakup rate, $Ω_{\rm b}=(G M_{\rm p}/R_{\rm p}^3)$, where $M_{\rm p}$ is the mass and $R_{\rm p}$ is the radius of the planet. After the protoplanetary disc dissipates, the rapidly rotating planet may eject a decretion (outflowing) disc in a similar way to a Be star. Boundary layer effects in a hydrodynamic disc allow for decretion disc formation at spin rates below the breakup…