Tootfinder

A Prototype Hybrid Mode Cavity for Heterodyne Axion Detection
Zenghai Li, Kevin Zhou, Marco Oriunno, Asher Berlin, Sergio Calatroni, Raffaele Tito D'Agnolo, Sebastian A. R. Ellis, Philip Schuster, Sami G. Tantawi, Natalia Toro
https://arxiv.org/abs/2507.07173

A Prototype Hybrid Mode Cavity for Heterodyne Axion Detection
In the heterodyne approach to axion detection, axion dark matter induces transitions between two modes of a microwave cavity, resulting in a parametrically enhanced signal power. We describe the fabrication and characterization of a prototype normal conducting cavity specifically optimized for heterodyne detection. Corrugations on the cavity walls support linearly polarized hybrid modes which maximize the signal power while strongly suppressing noise. We demonstrate tuning mechanisms which allo…

This https://arxiv.org/abs/2311.16593 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accurate detection to curb its rapid transmission. Initial testing methods primarily revolved around identifying the genetic composition of the coronavirus, exhibiting a relatively low detection rate and requiring a time-intensive procedure. To address this challenge, experts have suggested using radiolo…

The Evolutionary Path of Star-Forming Clumps in Hi-GAL
Ylenia Maruccia, Stefano Cavuoti, Massimo Brescia, Giuseppe Riccio, Sergio Molinari, Davide Elia, Eugenio Schisano
https://arxiv.org/abs/2506.08905

The Evolutionary Path of Star-Forming Clumps in Hi-GAL
Star formation (SF) studies are benefiting from the huge amount of data made available by recent large-area Galactic plane surveys conducted between 2 μm and 3 mm. Fully characterizing SF demands integrating far-infrared/sub-millimetre (FIR/sub-mm) data, tracing the earliest phases, with near-/mid-infrared (NIR/MIR) observations, revealing later stages characterized by YSOs just before main sequence star appearance. However, the resulting dataset is often a complex mix of heterogeneous and int…

The Additive Bachelier model with an application to the oil option market in the Covid period
Roberto Baviera, Michele Domenico Massaria
https://arxiv.org/abs/2506.09760

The Additive Bachelier model with an application to the oil option market in the Covid period
In April 2020, the Chicago Mercantile Exchange temporarily switched the pricing formula for West Texas Intermediate oil market options from the Black model to the Bachelier model. In this context, we introduce an Additive Bachelier model that provides a simple closed-form solution and a good description of the Implied volatility surface. This new Additive model exhibits several notable mathematical and financial properties. It ensures the no-arbitrage condition, a critical requirement in highly…

SPECULOOS: five years hunting terrestrial planets around ultra-cool dwarfs
Sebasti\'an Z\'u\~niga-Fern\'andez (Astrobiology Research Unit, Universit\'e de Li\`ege, Li\`ege, Belgium), Michael Gillon (Astrobiology Research Unit, Universit\'e de Li\`ege, Li\`ege, Belgium), SPECULOOS consortium
https://arxiv.org/…

SPECULOOS: five years hunting terrestrial planets around ultra-cool dwarfs
The SPECULOOS (Search for habitable Planets EClipsing ULtra-cOOl Stars) project aims to detect temperate terrestrial planets transiting nearby ultracool dwarfs, including late M-dwarf stars and brown dwarfs, which are well-suited for atmospheric characterization using the James Webb Space Telescope (JWST) and upcoming giant telescopes like the European Extremely Large Telescope (ELT). Led by the University of Liège, SPECULOOS is conducted in partnership with the University of Cambridge, the Un…

New Limits on Distributed Quantum Advantage: Dequantizing Linear Programs
Alkida Balliu, Corinna Coupette, Antonio Cruciani, Francesco d'Amore, Massimo Equi, Henrik Lievonen, Augusto Modanese, Dennis Olivetti, Jukka Suomela
https://arxiv.org/abs/2506.07574

New Limits on Distributed Quantum Advantage: Dequantizing Linear Programs
In this work, we give two results that put new limits on distributed quantum advantage in the context of the LOCAL model of distributed computing. First, we show that there is no distributed quantum advantage for any linear program. Put otherwise, if there is a quantum-LOCAL algorithm $\mathcal{A}$ that finds an $α$-approximation of some linear optimization problem $Π$ in $T$ communication rounds, we can construct a classical, deterministic LOCAL algorithm $\mathcal{A}'$ that finds an $α$-ap…

Inverse problem for the abstract diffusion-wave equation with Caputo fractional derivative
D. K. Durdiev, H. H. Turdiev, A. A. Rahmonov
https://arxiv.org/abs/2507.06641 https://arxiv.org/pdf/2507.06641 https://arxiv.org/html/2507.06641
arXiv:2507.06641v1 Announce Type: new
Abstract: In this work, we study the inverse problem of determining a potential coefficient in an abstract wave equation that includes a lower-order term. The equation incorporates a time-fractional derivative in the Caputo sense, as well as a fractional power of an abstract operator defined on a Hilbert space. Using the Fourier decomposition method, we analyze the solvability of the direct problem. Leveraging the properties of the solution to the direct problem, we conduct an examination of the inverse problem. By applying the fixed point theorem within a suitable Banach space, we derive results concerning the local existence, uniqueness, and stability of the solution.
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Covalently Integrated CNT@rGO for Superior Conductivity and Cycling Stability in Lithium-Ion Batterie
Junwen Tang, Jingbo Pang, Jie Wang, Huiming Liang, Ao Du, Long Kuang, Xiaoming Cai, Ming Qin, Cuixia Yan, Wu Zhou, Jinming Cai
https://arxiv.org/abs/2507.04296

Covalently Integrated CNT@rGO for Superior Conductivity and Cycling Stability in Lithium-Ion Batterie
The limitations of conventional conductive agents in lithium-ion batteries, such as carbon black and graphite flakes, have driven the search for high-performance alternatives. Carbon nanotubes (CNTs) and graphene offer exceptional conductivity and lower dosage requirements, but face challenges related to high costs and complex fabrication processes. Here, we report a simple and cost-effective one-step chemical vapor deposition (CVD) method for the ultra-high yield growth (7692.31%) of CNTs on a…

Hey, folks who understand alt text and limited vision accessibility:
I have need to write alt text for the diagram below. The alt text needs to be comprehensible to somebody who is encountering this kind of diagram for the ••very first time••. I could describe the images using the relevant jargon, but that would only serve people who already know the thing this activity is teaching them!
Any suggestions for how I could write good alt text for something like this? Is it possible? (The horizontal black bars are minus signs, i.e. subtraction. This is clear from context in the text, but probably not clear in the image.)
PLEASE NOTE: I am looking for people with ••relevant accessibility expertise••, not just random best shots from people who (like me) don’t really know much about this kind of problem.

ContextASR-Bench: A Massive Contextual Speech Recognition Benchmark
He Wang, Linhan Ma, Dake Guo, Xiong Wang, Lei Xie, Jin Xu, Junyang Lin
https://arxiv.org/abs/2507.05727

ContextASR-Bench: A Massive Contextual Speech Recognition Benchmark
Automatic Speech Recognition (ASR) has been extensively investigated, yet prior evaluative efforts have largely been restricted to contextless paradigms. This constraint stems from the limited proficiency of conventional ASR models in context modeling and their deficiency in memory and reasoning based on world knowledge. Recent breakthroughs in the development of Large Language Models (LLMs) and corresponding Large Audio Language Models (LALMs) have markedly enhanced the visibility of general a…