Tootfinder

Thermospheric Density, Composition, and Temperature from GOES-R/SUVI Solar Occultations
Robert H. A. Sewell (Laboratory for Atmospheric and Space Physics, Cooperative Institute for Reasearch in Environmental Sciences), Edward M. B. Thiemann (Laboratory for Atmospheric and Space Physics, Cooperative Institute for Reasearch in Environmental Sciences), Jocelyn Lafyatis (Laboratory for Atmospheric and Space Physics, Cooperative Institute for Reasearch in Environmental Sciences), Kevin Hall…

Thermospheric Density, Composition, and Temperature from GOES-R/SUVI Solar Occultations
A new dataset of atomic oxygen and molecular nitrogen number density profiles, along with thermospheric temperature profiles between 180 and 500 km, has been developed. These profiles are derived from solar occultation measurements made by SUVI on the GOES-R satellites, using the 17.1, 19.5, and 30.4 nm channels. Discussed is the novel approach and methods for using EUV solar occultation images to measuring the thermospheric state. Measurement uncertainties are presented as a function of tangen…

Multi-Carrier Rydberg Atomic Quantum Receivers with Enhanced Bandwidth Feature for Communication and Sensing
Huizhi Wang, Tierui Gong, Emil Bj\"ornson, Chau Yuen
https://arxiv.org/abs/2510.10473

Multi-Carrier Rydberg Atomic Quantum Receivers with Enhanced Bandwidth Feature for Communication and Sensing
Rydberg atomic quantum receivers (RAQRs) have attracted significant attention in recent years due to their ultra-high sensitivity. Although capable of precisely detecting the amplitude and phase of weak signals, conventional RAQRs face inherent limitations in accurately receiving wideband RF signals, due to the discrete nature of atomic energy levels and their intrinsic instantaneous bandwidth constraints. These limitations hinder their direct application to multi-carrier communication and sens…

$c_{\rm eff}$ from Resurgence at the Stokes Line
Griffen Adams, Ovidiu Costin, Gerald V. Dunne, Sergei Gukov, O\u{g}uz \"Oner
https://arxiv.org/abs/2508.10112 https://

$c_{\rm eff}$ from Resurgence at the Stokes Line
In recent papers [1,2], a new method to cross the natural boundary has been proposed, and applied to Mordell-Borel integrals arising in the study of Chern-Simons theory, based on decompositions into {\it resurgent cyclic orbits}. Resurgent analysis on the Stokes line leads to a unique transseries decomposition in terms of unary false theta functions, which can be continued across the natural boundary to produce dual $q$-series whose integer-valued coefficients enumerate BPS states. This constit…

Science in Action will finish at the end of this month! I will miss it dearly.
https://www.linkedin.com/posts/roland-pease-10678a59_private-eye-has-picked-up-on-the-news-that-activity-7303433572315508736-Pq3k

Private Eye has picked up on the news that Science in Action is to be dropped later this year from the BBC World Service, just one of several wide-ranging cost-cutting changes. Obviously, we're… | Roland Pease | 50 comments
Private Eye has picked up on the news that Science in Action is to be dropped later this year from the BBC World Service, just one of several wide-ranging cost-cutting changes. Obviously, we're trying to push back. It's not just that I love working on the programme, there are new discoveries and critical issues aplenty each week to dig into, but we try hard always to fulfil a need for our global audience, representing research from across the planet, and to dig deeper into the science than (say…

Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models
Manuel Hinz, Maximilian Mauel, Patrick Seifner, David Berghaus, Kostadin Cvejoski, Ramses J. Sanchez
https://arxiv.org/abs/2510.12618

Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models
High-dimensional recordings of dynamical processes are often characterized by a much smaller set of effective variables, evolving on low-dimensional manifolds. Identifying these latent dynamics requires solving two intertwined problems: discovering appropriate coarse-grained variables and simultaneously fitting the governing equations. Most machine learning approaches tackle these tasks jointly by training autoencoders together with models that enforce dynamical consistency. We propose to decou…

Detect Anything via Next Point Prediction
Qing Jiang, Junan Huo, Xingyu Chen, Yuda Xiong, Zhaoyang Zeng, Yihao Chen, Tianhe Ren, Junzhi Yu, Lei Zhang
https://arxiv.org/abs/2510.12798

Detect Anything via Next Point Prediction
Object detection has long been dominated by traditional coordinate regression-based models, such as YOLO, DETR, and Grounding DINO. Although recent efforts have attempted to leverage MLLMs to tackle this task, they face challenges like low recall rate, duplicate predictions, coordinate misalignment, etc. In this work, we bridge this gap and propose Rex-Omni, a 3B-scale MLLM that achieves state-of-the-art object perception performance. On benchmarks like COCO and LVIS, Rex-Omni attains performan…

Meta-Analysis with JASP, Part II: Bayesian Approaches
Franti\v{s}ek Barto\v{s}, Eric-Jan Wagenmakers
https://arxiv.org/abs/2509.09850 https://arxiv.org/pdf…

Meta-Analysis with JASP, Part II: Bayesian Approaches
Bayesian inference is on the rise, partly because it allows researchers to quantify parameter uncertainty, evaluate evidence for competing hypotheses, incorporate model ambiguity, and seamlessly update knowledge as information accumulates. All of these advantages apply to the meta-analytic settings; however, advanced Bayesian meta-analytic methodology is often restricted to researchers with programming experience. In order to make these tools available to a wider audience, we implemented state-…

Direct Nuclear-Level Qubits using Trapped Th-229 Ions: A Platform for Entanglement and Universal Quantum Information Processing
Jingbo Wang, Haixing Miao, Shiqian Ding, Dong E. Liu
https://arxiv.org/abs/2508.10626

Direct Nuclear-Level Qubits using Trapped Th-229 Ions: A Platform for Entanglement and Universal Quantum Information Processing
The low-energy isomeric transition in Thorium-229 offers a unique interface between nuclear and atomic physics, presenting a resource for quantum technologies that is notably resilient to environmental decoherence. While early experiments focused on nuclei in solid-state crystals, the recent advent of a continuous-wave vacuum ultraviolet laser at 148.4~nm now enables direct coherent control of individual trapped Th-229 ions. Building on this breakthrough, we present a theoretical framework for …

Think as a Doctor: An Interpretable AI Approach for ICU Mortality Prediction
Qingwen Li, Xiaohang Zhao, Xiao Han, Hailiang Huang, Lanjuan Liu
https://arxiv.org/abs/2510.11745 ht…

Think as a Doctor: An Interpretable AI Approach for ICU Mortality Prediction
Intensive Care Unit (ICU) mortality prediction, which estimates a patient's mortality status at discharge using EHRs collected early in an ICU admission, is vital in critical care. For this task, predictive accuracy alone is insufficient; interpretability is equally essential for building clinical trust and meeting regulatory standards, a topic that has attracted significant attention in information system research. Accordingly, an ideal solution should enable intrinsic interpretability and ali…