Tootfinder

CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Leonard Hackel, Tom Burgert, Beg\"um Demir
https://arxiv.org/abs/2509.14104 https://…

CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Self-supervised learning through masked autoencoders has attracted great attention for remote sensing (RS) foundation model (FM) development, enabling improved representation learning across diverse sensors and downstream tasks. However, existing RS FMs often either suffer from substantial computational complexity during both training and inference or exhibit limited representational capacity. These issues restrict their practical applicability in RS. To address this limitation, we propose an a…

HerS-3: An Exceptional Einstein Cross Reveals a Massive Dark Matter Halo
P. Cox, K. M. Butler, C. R. Keeton, L. Eid, E. Borsato, T. J. L. C. Bakx, R. Neri, B. M. Jones, P. Prajapati, A. J. Baker, S. Berta, A. Cooray, E. M. Corsini, L. Marchetti, A. Omont, A. Beelen, R. Gavazzi, D. Ismail, R. J. Ivison, M. Krips, M. D. Lehnert, H. Messias, D. Riechers, C. Vlahakis, A. Wei{\ss}, P. van der Werf, C. Yang

HerS-3: An Exceptional Einstein Cross Reveals a Massive Dark Matter Halo
We present a study of HerS-3, a dusty star-forming galaxy at zspec = 3.0607, which is gravitationally amplified into an Einstein cross with a fifth image of the background galaxy seen at the center of the cross. Detailed 1-mm spectroscopy and imaging with NOEMA and ALMA resolve the individual images and show that each of the five images display a series of molecular lines that have similar central velocities, unambiguously confirming that they have identical redshifts. The HST F110W image revea…

Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensing
Gokul Puthumanaillam, Aditya Penumarti, Manav Vora, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Jane Shin, Melkior Ornik
https://arxiv.org/abs/2508.12166

Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensing
Robots equipped with rich sensor suites can localize reliably in partially-observable environments, but powering every sensor continuously is wasteful and often infeasible. Belief-space planners address this by propagating pose-belief covariance through analytic models and switching sensors heuristically--a brittle, runtime-expensive approach. Data-driven approaches--including diffusion models--learn multi-modal trajectories from demonstrations, but presuppose an accurate, always-on state estim…

Lanyard-Gerüchte: Nimmt Apple das iPhone 17 an die Leine?
Viele Menschen nutzen bereits iPhone-Cases, die mittels Schnur um den Hals getragen werden können. Apple will hier womöglich bald mitverdienen.
https://www.…

Mazur-Tate elements of non-ordinary modular forms with Serre weight larger than two
Rylan Gajek-Leonard, Antonio Lei
https://arxiv.org/abs/2508.11007 https://

Mazur-Tate elements of non-ordinary modular forms with Serre weight larger than two
Fix an odd prime $p$ and let $f$ be a non-ordinary eigen-cuspform of weight $k$ and level coprime to $p$. Assuming $p>k-1$, we compute asymptotic formulas for the Iwasawa invariants of the Mazur-Tate elements attached to $f$ in terms of the corresponding invariants of the signed $p$-adic $L$-functions. By combining this with a version of mod $p$ multiplicity one, we also obtain descriptions of the $λ$-invariants of Mazur-Tate elements attached to certain higher weight modular forms with Serre …

Violation of Spin Paramagnetic limit in Bi/Ni Bilayer
Gabriel Sant'Ana, Leonardo Pessoa da Silva, Pedro Schio, David M\"ockli, Jan Aarts, Kaveh Lahabi, Milton A. Tumelero
https://arxiv.org/abs/2509.14590

Violation of Spin Paramagnetic limit in Bi/Ni Bilayer
We report a violation of the spin-paramagnetic limit in the in-plane upper critical field ($B_{C2}^{\parallel}$) in Bi(10 nm)/Ni(1 nm) bilayers grown by molecular beam epitaxy (MBE). Superconductivity emerges at the interface through the formation of an ultrathin NiBi$_3$ layer, which hosts a remarkably robust superconducting state under in-plane magnetic fields. To account for the $B_{C2}^{\parallel}$ enhancement, we evaluate two-dimensional (2D) superconductivity models incorporating spin-orb…

Novel Phase-Noise-Tolerant Variational-Autoencoder-Based Equalization Suitable for Space-Division-Multiplexed Transmission
Vincent Lauinger, Lennart Schmitz, Patrick Matalla, Andrej Rode, Sebastian Randel, Laurent Schmalen
https://arxiv.org/abs/2509.14072

Novel Phase-Noise-Tolerant Variational-Autoencoder-Based Equalization Suitable for Space-Division-Multiplexed Transmission
We demonstrate the effectiveness of a novel phase-noise-tolerant, variational-autoencoder-based equalization scheme for space-division-multiplexed (SDM) transmission in an experiment over 150km of randomly-coupled multi-core fibers.

Einstein's Equations in Electromagnetic Media
Eren Erberk Erkul, Ulf Leonhardt
https://arxiv.org/abs/2508.11300 https://arxiv.org/pdf/2508.11300…

Einstein's Equations in Electromagnetic Media
In this paper, Plebanski's 1960 mapping is extended to encode the full Einstein system in an electromagnetic medium. This is achieved by identifying transformation parameters in terms of the ADM constraint and evolution equations, and subsequently applying the mapping to the entire system. These transformed equations are then linearized in vacuum to derive gravitational-wave analogues as perturbations within the optical medium.

Crosslisted article(s) found for hep-ph. https://arxiv.org/list/hep-ph/new
[1/1]:
- An Open System Approach to Gravity
Santiago Ag\"u\'i Salcedo, Thomas Colas, Lennard Dufner, Enrico Pajer

Performance Optimization of YOLO-FEDER FusionNet for Robust Drone Detection in Visually Complex Environments
Tamara R. Lenhard, Andreas Weinmann, Tobias Koch
https://arxiv.org/abs/2509.14012

Performance Optimization of YOLO-FEDER FusionNet for Robust Drone Detection in Visually Complex Environments
Drone detection in visually complex environments remains challenging due to background clutter, small object scale, and camouflage effects. While generic object detectors like YOLO exhibit strong performance in low-texture scenes, their effectiveness degrades in cluttered environments with low object-background separability. To address these limitations, this work presents an enhanced iteration of YOLO-FEDER FusionNet -- a detection framework that integrates generic object detection with camouf…