Tootfinder

Does anyone else use Trello for recipes? I cook a lot and I use it like this, meal/food categories, etc. I think you need to have a Trello account to see this link, I believe it's public but only for Trello users, since I don't have a paid account there (ha). This is just how I keep track of everything, I prepare several/a lot of these fairly often. (Some cards are just placeholders, some have more info than others - under 'other lunch/dinner, those top few cards have instruction…

Compact Binary Coalescence Sensitivity Estimates with Injection Campaigns during the LIGO-Virgo-KAGRA Collaborations' Fourth Observing Run
Reed Essick, Michael W. Coughlin, Michael Zevin, Deep Chatterjee, Teagan A. Clarke, Utkarsh Mali, Simona Miller, Nathan Steinle, Pratyusava Baral, Amanda C. Baylor, Gareth Cabourn Davies, Thomas Dent, Prathamesh Joshi, Praveen Kumar, Cody Messick, Tanmaya Mishra, Amazigh Ouzriat, Khun Sang Phukon, Lorenzo Piccari, Marion Pillas, Max Trevor, Thom…

Compact Binary Coalescence Sensitivity Estimates with Injection Campaigns during the LIGO-Virgo-KAGRA Collaborations' Fourth Observing Run
We describe the effort to characterize gravitational-wave searches and detector sensitivity to different types of compact binary coalescences during the LIGO-Virgo-KAGRA Collaborations' fourth observing run. We discuss the design requirements and example use cases for this data product, constructed from $> 4.33\times10^8$ injections during O4a alone. We also identify subtle effects with high confidence, like diurnal duty cycles within detectors. This paper accompanies a public data release of t…

At this point, C# should introduce multiple return types as a syntactic part of the language. Bending generics to this extent seems like an abuse of the original intent.

How human is the machine? Evidence from 66,000 Conversations with Large Language Models
Antonios Stamatogiannakis, Arsham Ghodsinia, Sepehr Etminanrad, Dilney Gon\c{c}alves, David Santos
https://arxiv.org/abs/2510.07321

How human is the machine? Evidence from 66,000 Conversations with Large Language Models
When Artificial Intelligence (AI) is used to replace consumers (e.g., synthetic data), it is often assumed that AI emulates established consumers, and more generally human behaviors. Ten experiments with Large Language Models (LLMs) investigate if this is true in the domain of well-documented biases and heuristics. Across studies we observe four distinct types of deviations from human-like behavior. First, in some cases, LLMs reduce or correct biases observed in humans. Second, in other cases, …

On the Spatial Distribution of Luminous Blue Variables, B[e] Supergiants, and Wolf-Rayet stars in the Large Magellanic Cloud
John C. Martin, Roberta M. Humphreys, Kris Davidson
https://arxiv.org/abs/2508.17114

On the Spatial Distribution of Luminous Blue Variables, B[e] Supergiants, and Wolf-Rayet stars in the Large Magellanic Cloud
We examine the spatial distributions of LBV's, B[e] supergiants, and W-R stars in the LMC, to clarify their relative ages, evolutionary states, and relationships. This survey employs a reference catalog that was not available for previous work, comprising more than 3900 of the LMC's most luminous stars. Our analysis shows that LBV's, B[e] supergiants, and WR's have spatial distributions like normal stars with the same spectral types and luminosities. Most LBV's are not isolated, nor do they req…

Hunting for new glitches in LIGO data using community science
E Mackenzie, C P L Berry, G Niklasch, B T\'egl\'as, C Unsworth, K Crowston, D Davis, A K Katsaggelos
https://arxiv.org/abs/2508.13923

Hunting for new glitches in LIGO data using community science
Data from ground-based gravitational-wave detectors like LIGO contain many types of noise. Glitches are short bursts of non-Gaussian noise that may hinder our ability to identify or analyse gravitational-wave signals. They may have instrumental or environmental origins, and new types of glitches may appear following detector changes. The Gravity Spy project studies glitches and their origins, combining insights from volunteers on the community-science Zooniverse platform with machine learning. …