Tootfinder

Quantum chaos and semiclassical behavior in mushroom billiards I: Spectral statistics
Matic Orel, \v{C}rt Lozej, Marko Robnik, Hua Yan
https://arxiv.org/abs/2507.13823

Quantum chaos and semiclassical behavior in mushroom billiards I: Spectral statistics
We study the aspects of quantum chaos in mushroom billiards introduced by Bunimovich. This family of billiards classically has the property of mixed phase space with precisely one entirely regular and one fully chaotic (ergodic) component, whose size depends on the width w of the stem, and has two limiting geometries, namely the circle (as the integrable system) and stadium (as the fully chaotic system). Therefore, this one-parameter system is ideal to study the semiclassical behavior of the qu…

Jeder Sticker an der Kaffeemaschine im Büro erzählt eine Geschichte!

Replaced article(s) found for physics.hist-ph. https://arxiv.org/list/physics.hist-ph/new
[1/1]:
- Strict renormalizability as a paradigm for fundamental physics
Luca Buoninfante

Insight Rumors: A Novel Textual Rumor Locating and Marking Model Leveraging Att_BiMamba2 Network
Bin Ma, Yifei Zhang, Yongjin Xian, Qi Li, Linna Zhou, Gongxun Miao
https://arxiv.org/abs/2508.12574

Insight Rumors: A Novel Textual Rumor Locating and Marking Model Leveraging Att_BiMamba2 Network
With the development of social media networks, rumor detection models have attracted more and more attention. Whereas, these models primarily focus on classifying contexts as rumors or not, lacking the capability to locate and mark specific rumor content. To address this limitation, this paper proposes a novel rumor detection model named Insight Rumors to locate and mark rumor content within textual data. Specifically, we propose the Bidirectional Mamba2 Network with Dot-Product Attention (Att_…

Buddhas Tatzen sind sehr yummy! (Süße Bohnenfüllung inside)

banana bread is not the only answer ☝️#DallasCowboys #NFL #bananabread #football

Auch eine Möglichkeit, Bahninfotafeln zu gestalten.

Using deep learning to characterize single-exposure double-line spectroscopic binaries
Avraham Binnenfeld, Samuel Lilek, Rami Nasser, Raja Giryes, Shay Zucker
https://arxiv.org/abs/2507.12363

Using deep learning to characterize single-exposure double-line spectroscopic binaries
Distinguishing the component spectra of double-line spectroscopic binaries (SB2s) and extracting their stellar parameters is a complex and computationally intensive task that usually requires observations spanning several epochs that represent various orbital phases. This poses an especially significant challenge for large surveys such as Gaia or LAMOST, where the number of available spectra per target is often not enough for a proper spectral disentangling. We present a new approach for charac…

Vom Bienenfresser gibt's aus Zeitgründen nur ein einziges Klexemplar für den Shop, da der Alltag was Anderes wollte.
Das handgemalte #wandklex Original ist seit gerade eben auf #birds #watercolor #watercolour #aquarell #art #artShop #beeater #fediart #mastoart #creativeToots #artforsale