Tootfinder

Ultra-sensitive sizing of individual nanoparticles with an optofluidic microcavity
Shalom Palkhivala (Karlsruher Institut f\"ur Technologie - Physikalisches Institut), Larissa Kohler (Karlsruher Institut f\"ur Technologie - Physikalisches Institut), Christian Ritschel (Karlsruher Institut f\"ur Technologie - Institut f\"ur Anorganische Chemie), Claus Feldmann (Karlsruher Institut f\"ur Technologie - Institut f\"ur Anorganische Chemie), David Hunger (Karlsr…

Ultra-sensitive sizing of individual nanoparticles with an optofluidic microcavity
Nanoparticles are ubiquitous, and methods that reveal insights into single-particle properties are highly desired to enable their advanced characterization. Techniques that achieve label-free single-nanoparticle detection often lack bandwidth or do not provide quantitative information. Here, we present a cavity-based dispersive sensing method that achieves a high bandwidth to capture all relevant timescales of translational diffusion, and a sensitivity to detect and size single particles with d…

Tropical Donagi theorem
Felix R\"ohrle (Eberhard Karls Universit\"at T\"ubingen), Thomas Saillez (Universit\'e Libre de Bruxelles)
https://arxiv.org/abs/2507.05987

Tropical Donagi theorem
The tropical $n$-gonal construction was introduced in recent work by the first author and D.~Zakharov and structural results for $n = 2,3$ were established. In this article we explore the construction for $n = 4$ and prove a tropical analogue of Donagi's theorem which states that the tetragonal construction is a triality which preserves Prym varieties. This confirms the speculations in previous work and establishes new results on the non-injectivity of the tropical Prym-Torelli morphism. Finall…

V(is)owel: An Interactive Vowel Chart to Understand What Makes Visual Pronunciation Effective in Second Language Learning
Charlotte Kiesel, Dipayan Mukherjee, Mark Hasegawa-Johnson, Karrie Karahalios
https://arxiv.org/abs/2507.06202

V(is)owel: An Interactive Vowel Chart to Understand What Makes Visual Pronunciation Effective in Second Language Learning
Visual feedback speeds up learners' improvement of pronunciation in a second language. The visual combined with audio allows speakers to see sounds and differences in pronunciation that they are unable to hear. Prior studies have tested different visual methods for improving pronunciation, however, we do not have conclusive understanding of what aspects of the visualizations contributed to improvements. Based on previous work, we created V(is)owel, an interactive vowel chart. Vowel charts provi…

Navigating Speech Recording Collections with AI-Generated Illustrations
Sirina H{\aa}land, Trond Karlsen Str{\o}m, Petra Galu\v{s}\v{c}\'akov\'a
https://arxiv.org/abs/2507.04182

Navigating Speech Recording Collections with AI-Generated Illustrations
Although the amount of available spoken content is steadily increasing, extracting information and knowledge from speech recordings remains challenging. Beyond enhancing traditional information retrieval methods such as speech search and keyword spotting, novel approaches for navigating and searching spoken content need to be explored and developed. In this paper, we propose a novel navigational method for speech archives that leverages recent advances in language and multimodal generative mode…

On an analogy between the Wiener--Hopf formulations of discrete and continuous diffraction problems
A. I. Korolkov, R. C. Assier, A. V. Kisil
https://arxiv.org/abs/2507.04979

On an analogy between the Wiener--Hopf formulations of discrete and continuous diffraction problems
This article is dedicated to unifying the framework used to derive the Wiener--Hopf equations arising from some discrete and continuous wave diffraction problems.The main tools are the discrete Green's identity and the appropriate notion of discrete normal derivative. The resulting formal analogy between the Wiener--Hopf equations allows one to effortlessly move between the discrete and continuous formulations. The validity of this novel analogy is illustrated through several famous two-dimensi…

Erdbeerzeit an der Amrumer Straße

Spectroscopy of Free-Floating Planetary-Mass Objects and their disks with JWST
Belinda Damian, Aleks Scholz, Ray Jayawardhana, V. Almendros-Abad, Laura Flagg, Koraljka Mu\v{z}i\'c, Antonella Natta, Paola Pinilla, Leonardo Testi
https://arxiv.org/abs/2507.05155

Spectroscopy of Free-Floating Planetary-Mass Objects and their disks with JWST
Free-floating planetary-mass objects (FFPMOs) are known to harbor disks at young ages. Here, we present 1-13 $μm$ spectra for eight young FFPMOs with masses of 5-10 M$_\mathrm{Jup}$ (at ages of 1-5 Myr), using the NIRSpec and MIRI instruments on the James Webb Space Telescope. We derive fundamental properties of these targets, and find spectral types of M9.5 to L4, with effective temperatures of 1600-1900 K. The photospheric spectra of our targets show a clear diversity at similar temperatures…

Regularity of velocity averages in kinetic equations with heterogeneity
Marko Erceg, Kenneth H. Karlsen, Darko Mitrovi\'c
https://arxiv.org/abs/2507.04102

Regularity of velocity averages in kinetic equations with heterogeneity
This study investigates the regularity of kinetic equations with spatial heterogeneity. Recent progress has shown that velocity averages of weak solutions $h$ in $L^p$ ($p>1$) are strongly $L^1_{\text{loc}}$ compact under the natural non-degeneracy condition. We establish regularity estimates for equations with an $\boldsymbol{x}$-dependent drift vector $\mathfrak{f} = \mathfrak{f}(\boldsymbol{x}, \boldsymbolλ)$, which satisfies a quantitative version of the non-degeneracy condition. We prove …

Kollege aus Karlsruhe gerade dienstlich in Hannover - wenn #Karlsruhe auf Platz 2 ist, wo ist denn dann Hannover? Die haben hier so Fahrradhighways durch die ganze Stadt.
Ja. #Hannover auch auf Platz 2. In der Kategorie der Städte über 500 000 Einwohner*innen. Noch hinter Frankfurt am Main und …

Metric Learning in an RKHS
Gokcan Tatli, Yi Chen, Blake Mason, Robert Nowak, Ramya Korlakai Vinayak
https://arxiv.org/abs/2508.04476 https://arxiv.org/pdf/…

Metric Learning in an RKHS
Metric learning from a set of triplet comparisons in the form of "Do you think item h is more similar to item i or item j?", indicating similarity and differences between items, plays a key role in various applications including image retrieval, recommendation systems, and cognitive psychology. The goal is to learn a metric in the RKHS that reflects the comparisons. Nonlinear metric learning using kernel methods and neural networks have shown great empirical promise. While previous works have a…