Tootfinder

"Es ist höchste Zeit, dass sich deutsche Wissenschaftsinstitutionen nicht nur mit Solidaritätsbekundungen an die USA wenden, sondern sich auch gegen die wachsende Bedrohung für Wissenschaft und Demokratie in Deutschland positionieren."
"Überpolitisierung im Namen der Depolitisierung ist das Programm, mit dem die Wissenschaft nach rechtsextremer Façon umgeformt wird."
Andreas #FischerLescano

Wer die Wissenschaft schützen will, muss die AfD verbieten
Die Angriffe auf Universitäten in den USA sind ein Warnsignal. Während deutsche Forschungsorganisationen noch Solidaritätsbekundungen formulieren, bläst die AfD zu ihrem eigenen Feldzug gegen die freie Wissenschaft. Zeit zum Handeln. Ein Gastbeitrag von Andreas Fischer-Lescano.

LLM Hypnosis: Exploiting User Feedback for Unauthorized Knowledge Injection to All Users
Almog Hilel, Idan Shenfeld, Leshem Choshen, Jacob Andreas
https://arxiv.org/abs/2507.02850

LLM Hypnosis: Exploiting User Feedback for Unauthorized Knowledge Injection to All Users
We describe a vulnerability in language models (LMs) trained with user feedback, whereby a single user can persistently alter LM knowledge and behavior given only the ability to provide prompts and upvote / downvote feedback on LM outputs. To implement the attack, the attacker prompts the LM to stochastically output either a "poisoned" or benign response, then upvotes the poisoned response or downvotes the benign one. When feedback signals are used in a subsequent preference tuning behavior, LM…

LLMREI: Automating Requirements Elicitation Interviews with LLMs
Alexander Korn, Samuel Gorsch, Andreas Vogelsang
https://arxiv.org/abs/2507.02564 https://…

LLMREI: Automating Requirements Elicitation Interviews with LLMs
Requirements elicitation interviews are crucial for gathering system requirements but heavily depend on skilled analysts, making them resource-intensive, susceptible to human biases, and prone to miscommunication. Recent advancements in Large Language Models present new opportunities for automating parts of this process. This study introduces LLMREI, a chat bot designed to conduct requirements elicitation interviews with minimal human intervention, aiming to reduce common interviewer errors and…

Pseudo-Simulation for Autonomous Driving
Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
https://arxiv.org/abs/2506.04218

Pseudo-Simulation for Autonomous Driving
Existing evaluation paradigms for Autonomous Vehicles (AVs) face critical limitations. Real-world evaluation is often challenging due to safety concerns and a lack of reproducibility, whereas closed-loop simulation can face insufficient realism or high computational costs. Open-loop evaluation, while being efficient and data-driven, relies on metrics that generally overlook compounding errors. In this paper, we propose pseudo-simulation, a novel paradigm that addresses these limitations. Pseudo…

#Überholabstand mit Meterstab errechnet.
Ich muss die empfohlenen 100 cm zum rechten Rand noch besser einhalten. Dann mache ich mich zwar "breit wie ein LKW", aber meine Gesundheit ist mir schon wichtig!
…

Überholabstand mit Meterstab errechnet
Wenn ich zur Arbeit fahre habe ich eine Kamera am Lenker. Die ist nicht immer an, aber manchmal eben schon. So auch in der letzten Woche, als ich im Dörgen mit – meiner Meinung nach – zu wenig Seitenabstand überholt …

Überholabstand mit Meterstab errechnet Weiterlesen »

PromptCanvas: Composable Prompting Workspaces Using Dynamic Widgets for Exploration and Iteration in Creative Writing
Rifat Mehreen Amin, Oliver Hans K\"uhle, Daniel Buschek, Andreas Butz
https://arxiv.org/abs/2506.03741

PromptCanvas: Composable Prompting Workspaces Using Dynamic Widgets for Exploration and Iteration in Creative Writing
We introduce PromptCanvas, a concept that transforms prompting into a composable, widget-based experience on an infinite canvas. Users can generate, customize, and arrange interactive widgets representing various facets of their text, offering greater control over AI-generated content. PromptCanvas allows widget creation through system suggestions, user prompts, or manual input, providing a flexible environment tailored to individual needs. This enables deeper engagement with the creative proce…

Intersection of two quadrics: modular interpretation and Hitchin morphism
Vladimiro Benedetti, Andreas H\"oring, Jie Liu
https://arxiv.org/abs/2506.04707

Intersection of two quadrics: modular interpretation and Hitchin morphism
The cotangent bundle $T^*X$ of a smooth intersection $X$ of two quadrics admits a Lagrangian fibration determined by the intrinsic geometry of $X$. We show that this fibration is actually the Hitchin morphism if we endow $X$ with a structure of moduli space of twisted Spin-bundles. This generalises the classical result for threefolds, in which case it recovers the Hitchin fibration for the moduli space of rank two bundles with fixed determinant of odd degree on a curve of genus two.

On measure homology of mildly wild spaces
Thilo Kuessner, Janusz Przewocki, Andreas Zastrow
https://arxiv.org/abs/2506.03368 https://…

On measure homology of mildly wild spaces
We prove injectivity of the canonical map from singular homology to measure homology for certain ``mildly wild" spaces, that is, certain spaces not having the homotopy type of a CW-complex, but having countable fundamental groups.

Energy Consumption Optimization for Autonomous Vehicles via Positive Control Input Minimization
Andreas Hadjigeorgiou, Stelios Timotheou
https://arxiv.org/abs/2506.04685

Energy Consumption Optimization for Autonomous Vehicles via Positive Control Input Minimization
Autonomous vehicles (AVs) present a unique opportunity to improve the sustainability of transportation systems by adopting eco-driving strategies that reduce energy consumption and emissions. This paper introduces a novel surrogate model for energy and fuel consumption that minimizes Positive Control Input (PCI). Unlike conventional objectives such as squared acceleration, which often misrepresent actual energy usage, PCI provides a more accurate and optimization-friendly alternative. Building …

Ollie Madden, director of Film4 and Channel 4 drama, is leaving the broadcaster in October after an eight-year stint to join Netflix as director of UK film (Andreas Wiseman/Deadline)
https://deadline.com/2025/06/ollie-madden-film4-join-netfli…

Ollie Madden Exiting Film4/Channel 4 To Join Netflix As Director Of UK Film; Farhana Bhula & Gwawr Lloyd Upped At UK Broadcaster
Ollie Madden Leaving Film4/Channel 4 To Join Netflix As Director Of UK Film;

Coupling 1D stellar evolution with 3D-hydrodynamical simulations on-the-fly III: stellar evolution at different metallicities
Yixiao Zhou, Jakob L. R{\o}rsted, Achim Weiss, Andreas C. S. J{\o}rgensen, Cis Lagae, Luisa F. Rodr\'iguez D\'iaz, Yaguang Li, Mark L. Winther, Jens R. Larsen, J{\o}rgen Christensen-Dalsgaard, Oleg Kochukhov, Karen R. Pollard, Tanda Li

Coupling 1D stellar evolution with 3D-hydrodynamical simulations on-the-fly III: stellar evolution at different metallicities
A major weakness in one-dimensional (1D) stellar structure and evolution modeling is the simplified treatment of convection, which leads to erroneous near-surface stratification and considerable uncertainties in predicted effective temperatures and luminosities of low-mass stars. In a series of preceding works, a novel method for coupling 1D stellar structural models with a grid of 3D surface convection simulations during stellar evolution was developed, at solar metallicity. This 1D-3D couplin…

Stabilization of Linear Switched Systems with Long Input Delay via Average or Averaging Predictor Feedbacks
Andreas Katsanikakis, Nikolaos Bekiaris-Liberis
https://arxiv.org/abs/2506.03908

Stabilization of Linear Switched Systems with Long Input Delay via Average or Averaging Predictor Feedbacks
We develop delay-compensating feedback laws for linear switched systems with time-dependent switching. Because the future values of the switching signal, which are needed for constructing an exact predictor-feedback law, may be unavailable at current time, the key design challenge is how to construct a proper predictor state. We resolve this challenge constructing two alternative, average predictor-based feedback laws. The first is viewed as a predictor-feedback law for a particular average sys…

Replaced article(s) found for cs.FL. https://arxiv.org/list/cs.FL/new
[1/1]:
- Universality Frontier for Asynchronous Cellular Automata
Ivan Baburin, Matthew Cook, Florian Gr\"otschla, Andreas Plesner, Roger Wattenhofer

Stochastic thermodynamics for classical non-Markov jump processes
Kiyoshi Kanazawa, Andreas Dechant
https://arxiv.org/abs/2506.04726 https://

Stochastic thermodynamics for classical non-Markov jump processes
Stochastic thermodynamics investigates energetic/entropic bounds in small systems, such as biomolecular motors, chemical-reaction networks, and quantum nano-devices. Foundational results, including the second law and thermodynamic uncertainty relations, predominantly rely on the Markov assumption -- neglecting history dependence of physical systems. However, while physicists recognise that the Markov assumption is dubious in real experimental setups, extending stochastic thermodynamics to gener…

Learning to cluster neuronal function
Nina S. Nellen, Polina Turishcheva, Michaela Vystr\v{c}ilov\'a, Shashwat Sridhar, Tim Gollisch, Andreas S. Tolias, Alexander S. Ecker
https://arxiv.org/abs/2506.03293

Learning to cluster neuronal function
Deep neural networks trained to predict neural activity from visual input and behaviour have shown great potential to serve as digital twins of the visual cortex. Per-neuron embeddings derived from these models could potentially be used to map the functional landscape or identify cell types. However, state-of-the-art predictive models of mouse V1 do not generate functional embeddings that exhibit clear clustering patterns which would correspond to cell types. This raises the question whether th…

Brightest Group Galaxies IV: Probing Size--Mass Relation and Morphological Quenching in COSMOS-Web from $z = 3.7$
Ghassem Gozaliasl, Lilan Yang, Greta Toni, Fatemeh Abedini, Rafael C. Arango-Toro, Arif Babul, Caitlin M. Casey, Nima Chartap, Nicole E. Drakos, Andreas L. Faisst, Alexis Finoguenov, Maximilien Franco, Gavin Leroy, G\"unther Hasinger, Hossein Hatamnia, Olivier Ilbert, Shuowen Jin, Darshan Kakkad, Atousa Kalantari, Jeyhan S. Kartaltepe, Ali Ahmad Khostovan, Anton M. Koe…

Brightest Group Galaxies IV: Probing Size--Mass Relation and Morphological Quenching in COSMOS-Web from $z = 3.7$
We present a comprehensive study of the structural evolution of Brightest Group Galaxies (BGGs) from redshift $z \simeq 0.08$ to $z = 3.7$ using the \textit{James Webb Space Telescope}'s 255h COSMOS-Web program. This survey provides deep NIRCam imaging in four filters (F115W, F150W, F277W, F444W) across $\sim 0.54~\mathrm{deg}^2$ and MIRI coverage in $\sim 0.2~\mathrm{deg}^2$ of the COSMOS field. High-resolution NIRCam imaging enables robust size and morphological measurements, while multiwavel…

TIL: Franz Josef Wagner (das ist so ein ganz furchtbarer Bild-Schreiber) und Andreas Baader, der Begründer der RAF, waren gemeinsam bei den "Schwabinger Krawallen" https://www.perlentaucher.de/buch/alex-assmann/im-gefaengnis-frei.html

How to Securely Shuffle? A survey about Secure Shufflers for privacy-preserving computations
Marc Damie, Florian Hahn, Andreas Peter, Jan Ramon
https://arxiv.org/abs/2507.01487

How to Securely Shuffle? A survey about Secure Shufflers for privacy-preserving computations
Ishai et al. (FOCS'06) introduced secure shuffling as an efficient building block for private data aggregation. Recently, the field of differential privacy has revived interest in secure shufflers by highlighting the privacy amplification they can provide in various computations. Although several works argue for the utility of secure shufflers, they often treat them as black boxes; overlooking the practical vulnerabilities and performance trade-offs of existing implementations. This leaves a ce…

Reproducing kernel Hilbert space methods for modelling the discount curve
Andreas Celary, Paul Kr\"uhner, Zehra Eksi
https://arxiv.org/abs/2506.03342 …

Reproducing kernel Hilbert space methods for modelling the discount curve
We consider the theory of bond discounts, defined as the difference between the terminal payoff of the contract and its current price. Working in the setting of finite-dimensional realizations in the HJM framework, under suitable notions of no-arbitrage, the admissible discount curves take the form of polynomial, exponential functions. We introduce reproducing kernels that are admissible under no-arbitrage as a tractable regression basis for the estimation problem in calibrating the model to ma…

Beläge an der #Scheibenbremse gewechselt.
Ist das normal, dass die nach 1.700 Kilometern schon anfangen zu schruppern?
https://www.andreas-edler.de/blog/2025/06/

Beläge an der Scheibenbremse gewechselt
Hm, das Serious Gravix Pro 650b hat erst 1.700 Kilometer runter und die SRAM-Apex-Bremsen begannen, komische Geräusche zu machen. Habe vorsichtshalber mal neue Beläge bestellt und gestern die alten ausgebaut. Eigentlich ist da noch ein bisschen was drauf, aber wo …

Beläge an der Scheibenbremse gewechselt Weiterlesen »…

I like deep dives into strange bugs.
"How a 20 year old bug in GTA San Andreas surfaced in Windows 11 24H2"
https://cookieplmonster.github.io/2025/04/23/gta-san-andreas-win11-24h2-bug/

Long-Term Astrometric Monitoring of the Galactic Center Magnetar PSR J1745--2900
Geoffrey C. Bower, Adam T. Deller, Paul B. Demorest, Jason Dexter, Andreas Brunthaler, Gregory Desvignes, Ralph P. Eatough, Heino Falcke, Ciriaco Goddi, Michael Kramer, F. Yusef-Zadeh
https://arxiv.org/abs/2506.02348…

Long-Term Astrometric Monitoring of the Galactic Center Magnetar PSR J1745--2900
We present new astrometric observations of the Galactic Center magnetar, PSR J1745-2900, with the Very Long Baseline Array (VLBA). Combined with previously published measurements in 10 epochs that spanned 477 days, the complete data set consists of 25 epochs and 41 independent measurements that span 1984 days. These data constrain the proper motion to an accuracy of $\lesssim 2\%$ and set an upper limit on the absolute value of the magnetar's acceleration of $\lesssim (0.4, 0.2)\, {\rm mas\,y^{…

A fourth-order exponential time differencing scheme with real and distinct poles rational approximation for solving non-linear reaction-diffusion systems
Wisdom Kwame Attipoe, Andreas Kleefeld, Emmanuel Asante-Asamani
https://arxiv.org/abs/2507.01245

A fourth-order exponential time differencing scheme with real and distinct poles rational approximation for solving non-linear reaction-diffusion systems
A fourth-order, L-stable, exponential time differencing Runge-Kutta type scheme is developed to solve nonlinear systems of reaction diffusion equations with nonsmooth data. The new scheme, ETDRK4RDP, is constructed by approximating the matrix exponentials in the ETDRK4 scheme with a fourth order, L-acceptable, non-Padé rational function having real and distinct poles (RDP). Using RDP rational functions to construct the scheme ensures efficient damping of spurious oscillations arising from non-…

TRACE: Contrastive learning for multi-trial time-series data in neuroscience
Lisa Schmors, Dominic Gonschorek, Jan Niklas B\"ohm, Yongrong Qiu, Na Zhou, Dmitry Kobak, Andreas Tolias, Fabian Sinz, Jacob Reimer, Katrin Franke, Sebastian Damrich, Philipp Berens
https://arxiv.org/abs/2506.04906

TRACE: Contrastive learning for multi-trial time-series data in neuroscience
Modern neural recording techniques such as two-photon imaging allow to acquire vast time-series datasets with responses of hundreds or thousands of neurons. Contrastive learning is a powerful self-supervised framework for learning representations of complex datasets. Existing applications for neural time series rely on generic data augmentations and do not exploit the multi-trial data structure inherent in many neural datasets. Here we present TRACE, a new contrastive learning framework that av…

COSMOS-Web: MIRI Data Reduction and Number Counts at 7.7$\mu$m using JWST
Santosh Harish, Jeyhan S. Kartaltepe, Daizhong Liu, Anton M. Koekemoer, Caitlin M. Casey, Maximilien Franco, Hollis B. Akins, Olivier Ilbert, Marko Shuntov, Nicole E. Drakos, Mike Engesser, Andreas L. Faisst, Ghassem Gozaliasl, Crystal L. Martin, Michaela Hirschmann, Vasily Kokorev, Erini Lambrides, Henry Joy McCracken, Jed McKinney, Louise Paquereau, Jason Rhodes, Brant E. Robertson

COSMOS-Web: MIRI Data Reduction and Number Counts at 7.7$μ$m using JWST
The COSMOS-Web survey is the largest JWST Cycle 1 General Observer program covering a contiguous ~0.54 deg$^2$ area with NIRCam imaging in four broad-band filters and a non-contiguous ~0.2 deg$^2$ with parallel MIRI imaging in a single broad-band filter, F770W. Here we present a comprehensive overview of the MIRI imaging observations, the data reduction procedure, the COSMOS-Web MIRI photometric catalog, and the first data release including the entire COSMOS-Web MIRI coverage. Data reduction is…

Replaced article(s) found for cond-mat.soft. https://arxiv.org/list/cond-mat.soft/new
[1/1]:
- Self-sustained patchy turbulence in shear-thinning active fluids
Henning Reinken, Andreas M. Menzel

Deep learning-based segmentation of T1 and T2 cardiac MRI maps for automated disease detection
Andreea Bianca Popescu, Andreas Seitz, Heiko Mahrholdt, Jens Wetzl, Athira Jacob, Lucian Mihai Itu, Constantin Suciu, Teodora Chitiboi
https://arxiv.org/abs/2507.00903

Deep learning-based segmentation of T1 and T2 cardiac MRI maps for automated disease detection
Objectives Parametric tissue mapping enables quantitative cardiac tissue characterization but is limited by inter-observer variability during manual delineation. Traditional approaches relying on average relaxation values and single cutoffs may oversimplify myocardial complexity. This study evaluates whether deep learning (DL) can achieve segmentation accuracy comparable to inter-observer variability, explores the utility of statistical features beyond mean T1/T2 values, and assesses whether ma…

Multiplicity in triangulated categories
Petter Andreas Bergh, David A. Jorgensen, Peder Thompson
https://arxiv.org/abs/2506.02437 https://

Multiplicity in triangulated categories
We lay out the theory of a multiplicity in the setting of a triangulated category having a central ring action from a graded-commutative ring $R$, in other words, an $R$-linear triangulated category. The invariant we consider is modelled on those for graded modules over a commutative graded ring. We show that this invariant is determined by the leading coefficients of the Hilbert polynomials expressing the lengths of certain Hom sets. Our theory is a natural analogue of Hochster's theta invaria…

Searching for Di-Higgs Signatures of Light Charged Scalars
Guglielmo Coloretti, Andreas Crivellin, Syuhei Iguro
https://arxiv.org/abs/2507.00121 https://…

Searching for Di-Higgs Signatures of Light Charged Scalars
The excess in $t\to b\overline{b}c$ observed by ATLAS points towards a charged Higgs boson with a mass around 130$\,$GeV, consistent with the expectations from the $B$ anomalies, i.e.$~R_{D^{(*)}}$ and $b\to s\ell^+\ell^-$ data. As a non-minimal flavour structure is required for an explanation of these observables, this points towards a two-Higgs-doublet model with generic Yukawa couplings. Such a scenario predicts a sizable cross section for the pair production of the charged Higgs at the Larg…

Kapitza's Pendulum as a Classical Prelude to Floquet-Magnus Theory
Johannes K. Krondorfer, Maria Kainz, Matthias Diez, Andreas W. Hauser
https://arxiv.org/abs/2507.02736

Kapitza's Pendulum as a Classical Prelude to Floquet-Magnus Theory
We present a pedagogical introduction to Floquet-Magnus theory through the classical example of Kapitza's pendulum \ -- a simple system exhibiting nontrivial dynamical stabilization under rapid periodic driving. By deriving the equations of motion and analyzing the system via Floquet theory and the Magnus expansion, we obtain analytical stability conditions and effective evolution equations. While grounded in classical mechanics, the techniques are directly applicable to periodically driven qua…

Nuclear Physics Confronts Relativistic Collisions Of Isobars
Giuliano Giacalone, Jiangyong Jia, Vittorio Som\`a, You Zhou, Anatoli Afanasjev, Massimiliano Alvioli, Benjamin Bally, Federica Capellino, Jean-Paul Ebran, Hannah Elfner, Fernando G. Gardim, Andr\'e V. Giannini, Fr\'ed\'erique Grassi, Eduardo Grossi, Jan Hammelmann, Andreas Kirchner, Dean Lee, Matthew Luzum, Hadi Mehrabpour, Emil G. Nielsen, Govert Nijs, Tamara Nik\v{s}i\'c, Jacquelyn Noronha-Hostler, Jean-Yve…

Nuclear Physics Confronts Relativistic Collisions Of Isobars
High-energy collisions involving the $A=96$ isobars $^{96}$Zr and $^{96}$Ru have been performed in 2018 at Brookhaven National Laboratory's Relativistic Heavy Ion Collider (RHIC) as a means to search for the chiral magnetic effect in QCD. This would manifest itself as specific deviations from unity in the ratio of observables taken between $^{96}$Zr+$^{96}$Zr and $^{96}$Ru+$^{96}$Ru collisions. Measurements of such ratios (released at the end of 2021) indeed reveal deviations from unity, but th…

Scaling Human Judgment in Community Notes with LLMs
Haiwen Li, Soham De, Manon Revel, Andreas Haupt, Brad Miller, Keith Coleman, Jay Baxter, Martin Saveski, Michiel A. Bakker
https://arxiv.org/abs/2506.24118

Scaling Human Judgment in Community Notes with LLMs
This paper argues for a new paradigm for Community Notes in the LLM era: an open ecosystem where both humans and LLMs can write notes, and the decision of which notes are helpful enough to show remains in the hands of humans. This approach can accelerate the delivery of notes, while maintaining trust and legitimacy through Community Notes' foundational principle: A community of diverse human raters collectively serve as the ultimate evaluator and arbiter of what is helpful. Further, the feedbac…

Small area estimation of growing stock timber volume, basal area, mean stem diameter, and stem density for mountain forests in Austria
Arne Nothdurft, Valentin Sarkleti, Tobias Ofner-Graff, Andreas Tockner, Christoph Gollob, Tim Ritter, Ralf Kra{\ss}nitzer, Philip Svazek, Martin K\"uhmaier, Karl Stampfer, Andrew O. Finley
https://

Small area estimation of growing stock timber volume, basal area, mean stem diameter, and stem density for mountain forests in Austria
Regression models were evaluated to estimate stand-level growing stock volume (GSV), quadratic mean diameter (QMD), basal area (BA), and stem density (N) in the Brixen im Thale forest district of Austria. Field measurements for GSV, QMD, and BA were collected on 146 inventory plots using a handheld mobile personal laser scanning system. Predictor variables were derived from airborne laser scanning (ALS)-derived normalized digital surface and terrain models. The objective was to generate stand-l…

Workflow-Based Evaluation of Music Generation Systems
Shayan Dadman, Bernt Arild Bremdal, Andreas Bergsland
https://arxiv.org/abs/2507.01022 https://

Workflow-Based Evaluation of Music Generation Systems
This study presents an exploratory evaluation of Music Generation Systems (MGS) within contemporary music production workflows by examining eight open-source systems. The evaluation framework combines technical insights with practical experimentation through criteria specifically designed to investigate the practical and creative affordances of the systems within the iterative, non-linear nature of music production. Employing a single-evaluator methodology as a preliminary phase, this research …

STEM Diffraction Pattern Analysis with Deep Learning Networks
Sebastian Wissel, Jonas Scheunert, Aaron Dextre, Shamail Ahmed, Andreas Bayer, Kerstin Volz, Bai-Xiang Xu
https://arxiv.org/abs/2507.01889

STEM Diffraction Pattern Analysis with Deep Learning Networks
Accurate grain orientation mapping is essential for understanding and optimizing the performance of polycrystalline materials, particularly in energy-related applications. Lithium nickel oxide (LiNiO$_{2}$) is a promising cathode material for next-generation lithium-ion batteries, and its electrochemical behaviour is closely linked to microstructural features such as grain size and crystallographic orientations. Traditional orientation mapping methods--such as manual indexing, template matching…

Ground-state reachability for variational quantum eigensolvers: a Rydberg-atom case study
Juhi Singh, Andreas Kruckenhauser, Rick van Bijnen, Robert Zeier
https://arxiv.org/abs/2506.22387

Ground-state reachability for variational quantum eigensolvers: a Rydberg-atom case study
As quantum computing progresses, variational quantum eigensolvers (VQE) for ground-state preparation have become an attractive option in leveraging current quantum hardware. However, a major challenge in implementing VQE is understanding whether a given quantum system can even reach the target ground state. In this work, we study reachability conditions for VQE by analyzing their inherent symmetries. We consider a Rydberg-atom quantum simulator with global controls and evaluate its ability to r…

COSMOS-Web: Estimating Physical Parameters of Galaxies Using Self-Organizing Maps
Fatemeh Abedini, Ghassem Gozaliasl, Akram Hasani Zonoozi, Atousa Kalantari, Maarit Korpi-Lagg, Olivier Ilbert, Hollis B. Akins, Natalie Allen, Rafael C. Arango-Toro, Caitlin M. Casey, Nicole E. Drakos, Andreas L. Faisst, Carter Flayhart, Maximilien Franco, Santosh Harish, Hossein Hatamnia, Jeyhan S. Kartaltepe, Ali Ahmad Khostovan, Anton M. Koekemoer, Vasily Kokorev, Rebecca L. Larson, Gavin Leroy, Daizho…

COSMOS-Web: Estimating Physical Parameters of Galaxies Using Self-Organizing Maps
The COSMOS-Web survey, with its unparalleled combination of multiband data -- particularly near-infrared imaging from JWST's NIRCam (F115W, F150W, F277W, and F444W), provides a transformative dataset reaching down to approximately 28th magnitude (F444W) for studying galaxy evolution. In this work, we employ Self-Organizing Maps (SOMs), an unsupervised machine learning method, to estimate key physical parameters of galaxies, redshift, stellar mass, star formation rate (SFR), specific SFR (sSFR),…

An easily verifiable dispersion order for discrete distributions
Andreas Eberl, Bernhard Klar, Alfonso Su\'arez-Llorens
https://arxiv.org/abs/2506.23677

An easily verifiable dispersion order for discrete distributions
Dispersion is a fundamental concept in statistics, yet standard approaches to measuring it - especially via stochastic orders - face limitations in the discrete setting. In particular, the classical dispersive order, while well-established for continuous distributions, becomes overly restrictive when applied to discrete random variables due to support inclusion requirements. To address this, we propose a novel weak dispersive order tailored for discrete distributions. This order retains desirab…

Majoranas with a twist: Tunable Majorana zero modes in altermagnetic heterostructures
Andreas Hadjipaschalis, Sayed Ali Akbar Ghorashi, Jennifer Cano
https://arxiv.org/abs/2507.00119

Majoranas with a twist: Tunable Majorana zero modes in altermagnetic heterostructures
Altermagnetism provides new routes to realize Majorana zero modes with vanishing net magnetization. We consider a recently proposed heterostructure consisting of a semiconducting wire on top of an altermagnet and with proximity-induced superconductivity. We demonstrate that rotating the wire serves as a tuning knob to induce the topological phase. For $d$-, $g$- and $i$-wave altermagnetic pairing, we derive angle-dependent topological gap-closing conditions. We derive symmetry constraints on an…

Teaching Cars to Drive: Spotlight on Connected and Automated Vehicles
Filippos N. Tzortzoglou, Andreas A. Malikopoulos
https://arxiv.org/abs/2507.01211 htt…

Teaching Cars to Drive: Spotlight on Connected and Automated Vehicles
In recent decades, society has witnessed significant advancements in emerging mobility systems. These systems refer to transportation solutions that incorporate digital technologies, automation, connectivity, and sustainability to create safer, more efficient, and user-centered mobility. Examples include connected and automated vehicles (CAVs), shared mobility services (car-pooling), electric vehicles, and mobility-as-a-service platforms. These innovations have the potential to greatly impact a…

🌈 „Es ist endlich soweit! Heute kommt zum ersten Mal die #Pride nach Südtirol.“ 🏳️‍🌈🏳️‍⚧️
https://www.brennerbasisdemokratie.eu/?p=93084

Mehr als eine bunte Parade.
Es ist endlich soweit! Heute kommt zum ersten Mal die Pride nach Südtirol.von Andreas UnterkircherEine bunte Parade wird um 16.00 Uhr am Bozner Verdiplatz starten und mit Karren und Musik lautstark durch die Straßen der Innenstadt und von Gries-Quirein ziehen.Um 18.00 Uhr kommt sie dan

Ballistic particle transport and Drude weight in mono-atomic gases
Frank G\"ohmann, Andreas Kl\"umper, Karol K. Kozlowski
https://arxiv.org/abs/2506.00686

Ballistic particle transport and Drude weight in mono-atomic gases
Owing to the fact that, in the particular case of non-relativistic mono-atomic gases, the particle current operator is proportional to the operator of the total momentum, the particle transport in such systems is always ballistic and fully characterized by a Drude weight $Δ$. The Drude weight can be calculated as a generalized susceptibility from a generalized Gibbs ensemble. For the case of the integrable one dimensional Bose gas with contact interactions this susceptibility can be obtained e…

#Yamaha TW-E3A
Kaum fummele ich passende Abschlussdichtungen auf den Tonauslass ... ALTER! Das sind ja ganz andere #Kopfhörer plötzlich. Voller, satter Klang, keine Störgeräusche und besserer Sitz.

On the Surprising Efficacy of LLMs for Penetration-Testing
Andreas Happe, J\"urgen Cito
https://arxiv.org/abs/2507.00829 https://

On the Surprising Efficacy of LLMs for Penetration-Testing
This paper presents a critical examination of the surprising efficacy of Large Language Models (LLMs) in penetration testing. The paper thoroughly reviews the evolution of LLMs and their rapidly expanding capabilities which render them increasingly suitable for complex penetration testing operations. It systematically details the historical adoption of LLMs in both academic research and industry, showcasing their application across various offensive security tasks and covering broader phases of…

Patterning surface textured plates with a viscoplastic fluid
Vanessa R. Kern, P{\aa}l E. S. Olsen, Marcel Moura, Andreas Carlson
https://arxiv.org/abs/2506.23746

Patterning surface textured plates with a viscoplastic fluid
The deposition of a viscoplastic fluid onto a substrate can be achieved by simply moving apart two plates initially separated by a fluid filled gap, where the footprint shape depends on the initiation of a fingering instability. Here, we present another approach for the controlled deposition of a viscoplastic fluid by designing the macroscopic structures of the solid substrate. Through experiments in a lifted Hele-Shaw cell, we explore how slot, square, pyramid, and triangle-shaped patterns aff…

Gaze3P: Gaze-Based Prediction of User-Perceived Privacy
Mayar Elfares, Pascal Reisert, Ralf K\"usters, Andreas Bulling
https://arxiv.org/abs/2507.00596

Gaze3P: Gaze-Based Prediction of User-Perceived Privacy
Privacy is a highly subjective concept and perceived variably by different individuals. Previous research on quantifying user-perceived privacy has primarily relied on questionnaires. Furthermore, applying user-perceived privacy to optimise the parameters of privacy-preserving techniques (PPT) remains insufficiently explored. To address these limitations, we introduce Gaze3P -- the first dataset specifically designed to facilitate systematic investigations into user-perceived privacy. Our datas…

💫 Mit einer besonderen Online-Veranstaltung startet der #digamusaward 2025 in eine neue Runde:
📅Am 4.07.2025 lädt das Team des ehrenamtlich organisierten Wettbewerbs gemeinsam mit den Gastgebern Andreas Geis und Peter Fritz (Case Klinik Museum) zur „Langen Nacht der digitalen Museen“ ein, hier geht's zur Anmeldung:

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices
Lu\'is Cruz, Jo\~ao Paulo Fernandes, Maja H. Kirkeby, Silverio Mart\'inez-Fern\'andez, June Sallou, Hina Anwar, Enrique Barba Roque, Justus Bogner, Joel Casta\~no, Fernando Castor, Aadil Chasmawala, Sim\~ao Cunha, Daniel Feitosa, Alexandra Gonz\'alez, Andreas Jedlitschka, Patricia Lago, Ana Oprescu, Pooja Rani, Jo\~ao Saraiva, Federica Sarro, Raghavendra…

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices
The environmental impact of Artificial Intelligence (AI)-enabled systems is increasing rapidly, and software engineering plays a critical role in developing sustainable solutions. The "Greening AI with Software Engineering" CECAM-Lorentz workshop (no. 1358, 2025) funded by the Centre Européen de Calcul Atomique et Moléculaire and the Lorentz Center, provided an interdisciplinary forum for 29 participants, from practitioners to academics, to share knowledge, ideas, practices, and current resul…

Demonstrating Interoperable Channel State Feedback Compression with Machine Learning
Dani Korpi, Rachel Wang, Jerry Wang, Abdelrahman Ibrahim, Carl Nuzman, Runxin Wang, Kursat Rasim Mestav, Dustin Zhang, Iraj Saniee, Shawn Winston, Gordana Pavlovic, Wei Ding, William J. Hillery, Chenxi Hao, Ram Thirunagari, Jung Chang, Jeehyun Kim, Bartek Kozicki, Dragan Samardzija, Taesang Yoo, Andreas Maeder, Tingfang Ji, Harish Viswanathan

Demonstrating Interoperable Channel State Feedback Compression with Machine Learning
Neural network-based compression and decompression of channel state feedback has been one of the most widely studied applications of machine learning (ML) in wireless networks. Various simulation-based studies have shown that ML-based feedback compression can result in reduced overhead and more accurate channel information. However, to the best of our knowledge, there are no real-life proofs of concepts demonstrating the benefits of ML-based channel feedback compression in a practical setting, …

A linear topological invariant for weighted spaces of holomorphic functions
Andreas Debrouwere, Quinten Van Boxstael
https://arxiv.org/abs/2506.23695 https…

A linear topological invariant for weighted spaces of holomorphic functions
We study the linear topological invariant $(Ω)$ for a class of Fréchet spaces of holomorphic functions of rapid decay on strip-like domains in the complex plane, defined via weight function systems. We obtain a complete characterization of the property $(Ω)$ for such spaces in terms of an explicit condition on the defining weight function systems. As an application, we investigate the surjectivity of the Cauchy-Riemann operator on certain weighted spaces of vector-valued smooth functions.

A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags
Emma Fraxanet, Vicen\c{c} G\'omez, Andreas Kaltenbrunner, Max Pellert
https://arxiv.org/abs/2506.22224

A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags
We present a large-scale, longitudinal dataset capturing user activity on the online platform of DerStandard, a major Austrian newspaper. The dataset spans ten years (2013-2022) and includes over 75 million user comments, more than 400 million votes, and detailed metadata on articles and user interactions. It provides structured conversation threads, explicit up- and downvotes of user comments and editorial topic labels, enabling rich analyses of online discourse while preserving user privacy. …

The Distributed and Unified Numerics Environment (DUNE), Version 2.10
Markus Blatt, Samuel Burbulla, Ansgar Burchardt, Andreas Dedner, Christian Engwer, Carsten Gr\"aser, Christoph Gr\"uninger, Robert Kl\"ofkorn, Timo Koch, Santiago Ospina De Los R\'ios, Simon Praetorius, Oliver Sander
https://arxiv.org/abs/25…

The Distributed and Unified Numerics Environment (DUNE), Version 2.10
Version 2.10 of the Distributed and Unified Numerics Environment DUNE introduces a range of enhancements across its core and extension modules, with a continued emphasis on modern C++ integration and improved usability. This release extends support for C++20 features, particularly concepts, through comprehensive refinements in dune-common and dune-grid, enabling safer and more expressive generic programming paradigms. A notable advancement is the improved support for curved geometries, includin…

Metal-poor single Wolf-Rayet stars: the interplay of optically thick winds and rotation
Lumen Boco, Michela Mapelli, Andreas A. C. Sander, Sofia Mesini, Varsha Ramachandran, Stefano Torniamenti, Erika Korb, Boyuan Liu, Gautham N. Sabhahit, Jorick S. Vink
https://arxiv.org/abs/2507.00137 …

Metal-poor single Wolf-Rayet stars: the interplay of optically thick winds and rotation
The Small Magellanic Cloud (SMC) hosts 12 known Wolf-Rayet stars (WRs), seven of which apparently single. Their formation is a challenge for current stellar evolution models, because line-driven winds are generally assumed to be quenched at a metallicity Z<0.004. Here, we present a set of MESA models of single stars with zero-age main sequence masses 20-80 M_sun, considering different initial rotation speeds (Omega=0-0.7 Omega_c), metallicities (Z=0.002-0.0045), and wind mass-loss models (optic…

Wer schon immer mal Gabelsberger lernen wollte: Im Herbst bietet das IfÖG einen einschlägigen Kurs an, geleitet von Andreas Kloner: https://geschichtsforschung.univie.ac.at/news-detailansicht/news/kursangebot-gabelsberger-stenographie/…

KURSANGEBOT: Gabelsberger Stenographie
Nicht alles, was auf den ersten Blick unmöglich erscheint, ist unmöglich. Nicht alles, was wie eine Geheimschrift wirkt, ist eine Geheimschrift. Das gilt gerade auch für die Gabelsberger Stenographie, ein System, das mit knappen Zeichen in der Lage war, gesprochene Reden schriftlich festzuhalten.

Parameterized Complexity of Directed Traveling Salesman Problem
V\'aclav Bla\v{z}ej, Andreas Emil Feldmann, Foivos Fioravantes, Pawe{\l} Rz\k{a}\.zewski, Ond\v{r}ej Such\'y
https://arxiv.org/abs/2506.22127

Parameterized Complexity of Directed Traveling Salesman Problem
The Directed Traveling Salesman Problem (DTSP) is a variant of the classical Traveling Salesman Problem in which the edges in the graph are directed and a vertex and edge can be visited multiple times. The goal is to find a directed closed walk of minimum length (or total weight) that visits every vertex of the given graph at least once. In a yet more general version, Directed Waypoint Routing Problem (DWRP), some vertices are marked as terminals and we are only required to visit all terminals.…

Learning-Based Distance Estimation for 360{\deg} Single-Sensor Setups
Yitong Quan, Benjamin Kiefer, Martin Messmer, Andreas Zell
https://arxiv.org/abs/2506.20586

Learning-Based Distance Estimation for 360° Single-Sensor Setups
Accurate distance estimation is a fundamental challenge in robotic perception, particularly in omnidirectional imaging, where traditional geometric methods struggle with lens distortions and environmental variability. In this work, we propose a neural network-based approach for monocular distance estimation using a single 360° fisheye lens camera. Unlike classical trigonometric techniques that rely on precise lens calibration, our method directly learns and infers the distance of objects from …

Babler mit Ansage - „Arbeiten bis zum Umfallen, das wird nicht kommen“ #News #Nachrichten

A Design Space for Visualization Transitions of 3D Spatial Data in Hybrid AR-Desktop Environments
Yucheng Lu, Tobias Rau, Benjamin Lee, Andreas K\"ohn, Michael Sedlmair, Christian Sandor, Tobias Isenberg
https://arxiv.org/abs/2506.22250

A Design Space for Visualization Transitions of 3D Spatial Data in Hybrid AR-Desktop Environments
We present a design space for animated transitions of the appearance of 3D spatial datasets in a hybrid Augmented Reality (AR)-desktop context. Such hybrid interfaces combine both traditional and immersive displays to facilitate the exploration of 2D and 3D data representations in the environment in which they are best displayed. One key aspect is to introduce transitional animations that change between the different dimensionalities to illustrate the connection between the different representa…

Decoupling acceleration and wiggling in a laser-produced Betatron source
Julien Gautier, Igor Andriyash, Andreas D\"opp, Michaela Kozlova, Aim\'e Matheron, Benoit Mahieu, C\'edric Thaury, Ronan Lahaye, Jean-Philippe Goddet, Amar Tafzi, Pascal Rousseau, St\'ephane Sebban, Antoine Rousse, Kim Ta Phuoc
https://arxi…

Decoupling acceleration and wiggling in a laser-produced Betatron source
Betatron radiation is produced in Laser Plasma Accelerators when the electrons are accelerated and simultaneously wiggle across the propagation axis. The mechanisms of electron acceleration and X-ray radiation production follow different scaling laws, and the brightest X-ray radiation is often produced for an electron beam with a lower quality in terms of energy and divergence. Here, we report a laser-driven Betatron X-ray source where the plasma density profile is tailored in order to separate…

🇺🇦 #NowPlaying on BBCRadio3's #Breakfast
Johannes Brahms, Stephan Koncz, Andreas Ottensamer, German Symphony Orchestra Berlin & Stephan Koncz:
🎵 Clarinet Sonata in F Minor Op.120 no.1 (3rd mvt)
#JohannesBrahms
https://open.spotify.com/track/1hdnMBbkWuVrx5mkVa97IT

The BBC didn't livestream Kneecap's Glastonbury set, but is facing backlash after airing Bob Vylan leading chants of "Free Palestine" and "Death to the IDF" (Andreas Wiseman/Deadline)
https://deadline.com/2025/06/glastonbu

BBC Avoids Kneecap But Live Streams Another Act Leading Crowd Chants Of “Death To The IDF” & “Free Palestine”
BBC Refuses To Show Kneecap Live But Another Act, Bob Vylan, Leads Crowd Chants Of "Death To The IDF!" & "Free Palestine!"

A comparative analysis of plasmonic and dielectric metasurface sensing platforms powered by bound states in the continuum
Tao Jiang, Angana Bhattacharya, Martin Barkey, Andreas Aigner, Thomas Weber, Juan Wang, Stefan A. Maier, Andreas Tittl
https://arxiv.org/abs/2506.18636

A comparative analysis of plasmonic and dielectric metasurface sensing platforms powered by bound states in the continuum
Nanophotonic platforms based on surface-enhanced infrared absorbance spectroscopy (SEIRAS) have emerged as an effective tool for molecular detection. Sensitive nanophotonic sensors with robust resonant modes and amplified electromagnetic near fields are essential for spectroscopy, especially in lossy environments. Metasurfaces driven by bound state in the continuum (BICs) have unlocked a powerful platform for molecular detection due to their exceptional spectral selectivity. While plasmonic BIC…

Norm-dependent Lamperti-type MAP representations of stable processes and Brownian motions in the orthant
Andreas E. Kyprianou, Harry S. Mantelos, Victor Rivero
https://arxiv.org/abs/2506.22020

Norm-dependent Lamperti-type MAP representations of stable processes and Brownian motions in the orthant
We start by remarking a one-to-one correspondence between self-similar Markov processes (ssMps) on a Banach space and Markov additive processes (MAPs) that is analogous to the well-known one between positive ssMps and Lévy processes through the renowned Lamperti-transform, with the main difference that ours is norm-dependent. We then consider multidimensional self-similar Markov processes obtained by killing or by reflecting a stable process or Brownian motion in the orthant and we then fully …

Digital twins enable full-reference quality assessment of photoacoustic image reconstructions
Janek Gr\"ohl, Leonid Kunyansky, Jenni Poimala, Thomas R. Else, Francesca Di Cecio, Sarah E. Bohndiek, Ben T. Cox, Andreas Hauptmann
https://arxiv.org/abs/2505.24514

Digital twins enable full-reference quality assessment of photoacoustic image reconstructions
Quantitative comparison of the quality of photoacoustic image reconstruction algorithms remains a major challenge. No-reference image quality measures are often inadequate, but full-reference measures require access to an ideal reference image. While the ground truth is known in simulations, it is unknown in vivo, or in phantom studies, as the reference depends on both the phantom properties and the imaging system. We tackle this problem by using numerical digital twins of tissue-mimicking phan…

Replaced article(s) found for cs.IT. https://arxiv.org/list/cs.IT/new
[1/1]:
- On the Strong Converse Exponent of the Classical Soft Covering
Xingyi He, S. Sandeep Pradhan, Andreas Winter

traccc: GPU track reconstruction library for HEP experiments
Paul Gessinger, Heather M. Gray, Attila Krasznahorkay, Charles Leggett, Joana Niermann, Andreas Salzburger, Stephen Nicholas Swatman, Beomki Yeo
https://arxiv.org/abs/2505.22822

traccc: GPU track reconstruction library for HEP experiments
We present the current development status and progress of traccc, a GPU track reconstruction library developed in the context of the A Common Tracking Software (ACTS) project. traccc implements tracking algorithms used in high energy physics (HEP) experiments, including the Kalman filter based track finding and fitting. We benchmark the software with data simulated by Geant4 to measure the physics and computing performance. We show that the physics performance for GPU and CPU are very close. We…

A Class of Stochastic Runge-Kutta Methods for Stochastic Differential Equations Converging with Order 1 in $L^p$-Norm
Andreas R\"o{\ss}ler
https://arxiv.org/abs/2506.22657

A Class of Stochastic Runge-Kutta Methods for Stochastic Differential Equations Converging with Order 1 in $L^p$-Norm
For the approximation of solutions for Itô and Stratonovich stochastic differential equations (SDEs)a new class of efficient stochastic Runge-Kutta (SRK) methods is developed. As the main novelty only two stages are necessary for the proposed SRK methods of order 1 that can be applied to SDEs with non-commutative or with commutative noise. In addition, a variant of the SRK method for SDEs with additive noise is presented. All proposed SRK methods cover also the case of drift-implicit schemes a…

Parachute: Single-Pass Bi-Directional Information Passing
Mihail Stoian, Andreas Zimmerer, Skander Krid, Amadou Latyr Ngom, Jialin Ding, Tim Kraska, Andreas Kipf
https://arxiv.org/abs/2506.13670

Parachute: Single-Pass Bi-Directional Information Passing
Sideways information passing is a well-known technique for mitigating the impact of large build sides in a database query plan. As currently implemented in production systems, sideways information passing enables only a uni-directional information flow, as opposed to instance-optimal algorithms, such as Yannakakis'. On the other hand, the latter require an additional pass over the input, which hinders adoption in production systems. In this paper, we make a step towards enabling single-pass b…

New evidence for R\'emond's generalisation of Lehmer's conjecture
Sara Checcoli, Gabriel Andreas Dill
https://arxiv.org/abs/2506.18776 https://…

New evidence for Rémond's generalisation of Lehmer's conjecture
In this article, we generalise a result of Pottmeyer from the multiplicative group of the algebraic numbers to almost split semiabelian varieties defined over number fields. This concerns a consequence of Rémond's generalisation of Lehmer's conjecture. Namely, for a finite rank subgroup $Γ$ of an almost split semiabelian variety $G$, we consider the group of rational points of $G$ over a finite extension of the field generated by the saturated closure of $Γ$, i.e. the division closure of the…

A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers
Aikaterini Maria Panteleaki, Varatheepan Paramanayakam, Vasileios Pentsos, Andreas Karatzas, Spyros Tragoudas, Iraklis Anagnostopoulos
https://arxiv.org/abs/2506.01712

A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers
The increasing demand for Artificial Intelligence (AI) computing poses significant environmental challenges, with both operational and embodied carbon emissions becoming major contributors. This paper presents a carbon-aware holistic methodology for designing and managing sustainable Edge Data Centers (EDCs), based on three design principles that challenge the state-of-the-art optimization paradigms. Our approach employs vertical integration across the architecture, system, and runtime layers, …

Code Generation for Near-Roofline Finite Element Actions on GPUs from Symbolic Variational Forms
Kaushik Kulkarni, Andreas Kl\"ockner
https://arxiv.org/abs/2506.17471

Code Generation for Near-Roofline Finite Element Actions on GPUs from Symbolic Variational Forms
We present a novel parallelization strategy for evaluating Finite Element Method (FEM) variational forms on GPUs, focusing on those that are expressible through the Unified Form Language (UFL) on simplex meshes. We base our approach on code transformations, wherein we construct a space of scheduling candidates and rank them via a heuristic cost model to effectively handle the large diversity of computational workloads that can be expressed in this way. We present a design of a search space to w…

Immersive Technologies and Elderly Users: Current use, Limitations and Future Perspectives
Zoe Anastasiadou, Andreas Lanitis
https://arxiv.org/abs/2506.22932

Immersive Technologies and Elderly Users: Current use, Limitations and Future Perspectives
The increase of the percentage of elderly population in modern societies dictates the use of emerging technologies as a means of supporting elder members of the society. Within this scope, Extended Reality (XR) technologies pose as a promising technology for improving the daily lives of the elderly population. This paper presents a literature review that describes the most common characteristics of the physical and mental state of the elderly, allowing readers, and specifically XR developers, t…

Determination of few femtosecond to attosecond electron bunch durations using a passive plasma lens
Andreas Seidel, Carola Zepter, Alexander S\"avert, Stephan Kuschel, Matt Zepf
https://arxiv.org/abs/2506.24107

Determination of few femtosecond to attosecond electron bunch durations using a passive plasma lens
Determining the pulse duration of femtosecond electron bunches is challenging and often experimentally invasive. An effective method for measuring the duration based on the time-dependent variations in electron beam divergence induced by a passive plasma lens is described. Reconstruction of the temporal shape of the electron bunch down to $c \cdot dt=10$ nm ($\sim 30$ as) without external RF-cavities or multi-octave spanning spectrometer is shown numerically. Experimental data from a $\sim$ 3fs…

Resolving the joint ergodicity problem for Hardy sequences
Sebasti\'an Donoso, Andreas Koutsogiannis, Borys Kuca, Wenbo Sun, Konstantinos Tsinas
https://arxiv.org/abs/2506.20459

Resolving the joint ergodicity problem for Hardy sequences
The joint ergodicity classification problem aims to characterize those sequences which are jointly ergodic along an arbitrary dynamical system if and only if they satisfy two natural, simpler-to-verify conditions on this system. These two conditions, dubbed the difference and product ergodicity conditions, naturally arise from Berend and Bergelson's pioneering work on joint ergodicity. Elaborating on our earlier work, we investigate this problem for Hardy sequences of polynomial growth, this ti…

Great opportunity to show people the accessibility settings.
https://mastodon.social/@andjsch/114655906181034852

Andreas Schantl (@andjsch@mastodon.social)
Attached: 2 images Just installed the iOS 26 Beta for a test drive on my spare iPhone and while the glassy look is fancy to some degree, it makes things poorly visible. I am sure a lot of people will have troubles reading text on such transparent layers and generally finding small icons with bad contrast. #ios26 #apple #wwdc25 #accessibility

Kleiner #Ausflug mit dem #Dachzelt in den #Harz. Papa und Nachwuchs 2.0 hatten frei :-)
Teaser:

Israel's Iran Attack Could Wreck the US' Middle-East Strategy (Andreas Kluth/Bloomberg)
https://www.bloomberg.com/opinion/articles/2025-06-13/israel-attacks-iran-and-could-wreck-trump-s-middle-east-strategy
http://www.memeorandum.com/250613/p90#a250613p90

An Earth-like Density for the Temperate Earth-sized Planet GJ 12b
Madison Brady, Jacob Bean, Ritvik Basant, Nina Brown, Tanya Das, Matthew Nixon, Rafael Luque, Caroline Piaulet-Ghorayeb, Michael Radica, Andreas Seifahrt, Julian St\"urmer, Lily Zhao
https://arxiv.org/abs/2506.20561

An Earth-like Density for the Temperate Earth-sized Planet GJ 12b
While JWST has provided us with the opportunity to probe the atmospheres of potentially-habitable planets, observations of the TRAPPIST-1 system have shown us that active stars severely complicate efforts at studying their planets. GJ 12b is a newly-discovered temperate (Teq ~ 300 K), Earth-sized (Rp = 0.96 +/- 0.05 Earth radii) planet orbiting an inactive M dwarf that might be a good alternate to the TRAPPIST-1 planets for atmospheric characterization. In this paper, we use MAROON-X radial vel…

Discretization of Continuous Frames by Quasi-Monte Carlo Methods
Jan Zimmermann, Andreas Klotz, Nicki Holighaus
https://arxiv.org/abs/2507.00618 https://…

Discretization of Continuous Frames by Quasi-Monte Carlo Methods
We introduce a discretization scheme for continuous localized frames using quasi-Monte Carlo integration and discrepancy theory. By generalizing classical concepts, we define a discrepancy measure on the entire phase space $\mathbb{R}^2$ and establish a corresponding Koksma-Hlawka inequality. This approach enables control over the density of the discretized frame and ensures the universality of the sampling set, relying only on the discrepancy of the sampling set and on the Sobolev-type seminor…

Tunable Field-Linked $s$-wave Interactions in Dipolar Fermi Mixtures
Jing-Lun Li, Georgios M. Koutentakis, Mateja Hrast, Mikhail Lemeshko, Andreas Schindewolf, Ragheed Alhyder
https://arxiv.org/abs/2506.23318

Tunable Field-Linked $s$-wave Interactions in Dipolar Fermi Mixtures
Spin mixtures of degenerate fermions are a cornerstone of quantum many-body physics, enabling superfluidity, polarons, and rich spin dynamics through $s$-wave scattering resonances. Combining them with strong, long-range dipolar interactions provides highly flexible control schemes promising even more exotic quantum phases. Recently, microwave shielding gave access to spin-polarized degenerate samples of dipolar fermionic molecules, where tunable $p$-wave interactions were enabled by field-link…

Ghost-Free Quantisation of Higher Time-Derivative Theories via Non-Unitary Similarity Transformations
Andreas Fring, Takano Taira, Bethan Turner
https://arxiv.org/abs/2506.21400

Ghost-Free Quantisation of Higher Time-Derivative Theories via Non-Unitary Similarity Transformations
We address the long-standing ``ghost problem" in higher time-derivative theories (HTDTs), where quantisation typically yields sectors with either unbounded spectra or non-normalisable eigenstates; both rendering the theory unphysical. We propose a novel method that preserves the bounded nature of the spectrum in one particular sector while restoring normalisability by employing a non-unitary similarity transformation. Inspired by techniques from pseudo/quasi-Hermitian PT-symmetric quantum mecha…

Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos
Yitong Quan, Benjamin Kiefer, Martin Messmer, Andreas Zell
https://arxiv.org/abs/2506.20550

Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos
Modern image-based object detection models, such as YOLOv7, primarily process individual frames independently, thus ignoring valuable temporal context naturally present in videos. Meanwhile, existing video-based detection methods often introduce complex temporal modules, significantly increasing model size and computational complexity. In practical applications such as surveillance and autonomous driving, transient challenges including motion blur, occlusions, and abrupt appearance changes can …

Jacobian-free Multigrid Preconditioner for Discontinuous Galerkin Methods applied to Numerical Weather Prediction
Philipp Birken, Andreas Dedner, Robert Kl\"ofkorn
https://arxiv.org/abs/2505.24504

Jacobian-free Multigrid Preconditioner for Discontinuous Galerkin Methods applied to Numerical Weather Prediction
Discontinuous Galerkin (DG) methods are promising high order discretizations for unsteady compressible flows. Here, we focus on Numerical Weather Prediction (NWP). These flows are characterized by a fine resolution in $z$-direction and low Mach numbers, making the system stiff. Thus, implicit time integration is required and for this a fast, highly parallel, low-memory iterative solver for the resulting algebraic systems. As a basic framework, we use inexact Jacobian-Free Newton-GMRES with a pr…

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Les Adieux, Hajo Bass, Carl Philipp Emanuel Bach, Andreas Staier & Wilbert Hazelzet:
🎵 Quartet for flute, viola and continuo in D major
#LesAdieux #HajoBass #newRelease 🆕 album
https://open.spotify.com/track/48vxEGYlWzRggVkeJswuYX
Please 🔁 BOOST to share what you like
- your followers don't see if you ⭐ favourite a post

Effect of positronium on the $\gamma$-ray spectra and energy deposition in Type Ia supernovae
Anirban Dutta, Andrew Fullard, Wolfgang Kerzendorf, J. T. O'Brien, Cecelia Powers, Stuart A Sim, Andreas Fl\"ors, Or Graur
https://arxiv.org/abs/2505.22992

Effect of positronium on the $γ$-ray spectra and energy deposition in Type Ia supernovae
Type Ia supernovae (SNe Ia) are powered by the radioactive decay of isotopes such as $^{56}$Ni and $^{56}$Co, making their $γ$-ray spectra useful probes of the explosion mechanism and ejecta structure. Accurate interpretation of $γ$-ray observables, including line ratios and continuum fluxes, requires a detailed understanding of the microphysical processes that shape the spectra. One such process is positronium formation during electron-positron annihilation, which can redistribute flux from …

BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting
Jing Du, Haley Stone, Yang Yang, Ashna Desai, Hao Xue, Andreas Z\"ufle, Chandini Raina MacIntyre, Flora D. Salim
https://arxiv.org/abs/2505.22692

BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting
Accurate forecasting of avian influenza outbreaks within wild bird populations requires models that account for complex, multi-scale transmission patterns driven by various factors. Spatio-temporal GNN-based models have recently gained traction for infection forecasting due to their ability to capture relations and flow between spatial regions, but most existing frameworks rely solely on spatial connections and their connections. This overlooks valuable genetic information at the case level, su…

Rund um den #Jordansprudel im #Audi!
Der Grund, warum er überhaupt so weit gekommen ist, sind die nicht wieder an Ort und Stelle verbrachten #Poller im Weg. Gerne werden die von Stadtwerken u…

pySTARBURST99: The Next Generation of STARBURST99
Calum Hawcroft, Claus Leitherer, Oskar Arangure, John Chisholm, Sylvia Ekstrom, Sebastien Martinet, Lucimara Martins, Georges Meynet, Christophe Morisset, Andreas Sander, Aida Wofford
https://arxiv.org/abs/2505.24841

pySTARBURST99: The Next Generation of STARBURST99
STARBURST99 is a population synthesis code tailored to predict the integrated properties or observational characteristics of star-forming galaxies. Here we present an update to STARBURST99 where we port the code to python, include new evolutionary tracks both rotating and non-rotating at a range of low metallicity environments. We complement these tracks with a corresponding grid of new synthetic SEDs. Additionally we include both evolutionary and spectral models of stars up to 300-500Msol. Syn…

#Radweg entlang der #MindenerStraße in #BadOeYnhausen teilgesperrt.
Ich kann schon verstehen, wenn man kurz vor dem

Quantifying Spin Defect Density in hBN via Raman and Photoluminescence Analysis
Atanu Patra, Paul Konrad, Andreas Sperlich, Timur Biktagirov, Wolf Gero Schmidt, Lesley Spencer, Igor Aharonovich, Sven H\"ofling, Vladimir Dyakonov
https://arxiv.org/abs/2506.19803

Quantifying Spin Defect Density in hBN via Raman and Photoluminescence Analysis
Negatively charged boron vacancies ($\mathrm{V_B^-}$) in hexagonal boron nitride (hBN) are emerging as promising solid-state spin qubits due to their optical accessibility, structural simplicity, and compatibility with photonic platforms. However, quantifying the density of such defects in thin hBN flakes has remained elusive, limiting progress in device integration and reproducibility. Here, we present an all-optical method to quantify $\mathrm{V_B^-}$ defect density in hBN by correlating Rama…

Organizational Regularities in Recurrent Neural Networks
Claus Metzner, Achim Schilling, Andreas Maier, Patrick Krauss
https://arxiv.org/abs/2505.22047 htt…

Organizational Regularities in Recurrent Neural Networks
Previous work has shown that the dynamical regime of Recurrent Neural Networks (RNNs) - ranging from oscillatory to chaotic and fixpoint behavior - can be controlled by the global distribution of weights in connection matrices with statistically independent elements. However, it remains unclear how network dynamics respond to organizational regularities in the weight matrix, as often observed in biological neural networks. Here, we investigate three such regularities: (1) monopolar output weigh…

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Andreas Borregaard & Jean-Philippe Rameau:
🎵 Pieces de Clavecin
#AndreasBorregaard #JeanPhilippeRameau
https://open.spotify.com/track/7e9mt1x0gVfDUfR4aEMTeL

Heute ist bei uns in #BadOeYnhausen das #Stadtradeln gestartet und ich habe letztes Jahr schon etwas dazu geschrieben, was sich auch in diesem Jahr nicht geändert hat:

Towards Effective Complementary Security Analysis using Large Language Models
Jonas Wagner, Simon M\"uller, Christian N\"ather, Jan-Philipp Stegh\"ofer, Andreas Both
https://arxiv.org/abs/2506.16899

Towards Effective Complementary Security Analysis using Large Language Models
A key challenge in security analysis is the manual evaluation of potential security weaknesses generated by static application security testing (SAST) tools. Numerous false positives (FPs) in these reports reduce the effectiveness of security analysis. We propose using Large Language Models (LLMs) to improve the assessment of SAST findings. We investigate the ability of LLMs to reduce FPs while trying to maintain a perfect true positive rate, using datasets extracted from the OWASP Benchmark (v…

Wieder keine #Gasdichtigkeitsprüfung gemacht
Mir fehlt die Zeit, sowas in der Woche zu erledigen und am Wochenende haben alle zu. Ersatzteile nicht zu bekommen.
https://www.

Replaced article(s) found for eess.SY. https://arxiv.org/list/eess.SY/new
[1/1]:
- Controller Adaptation via Learning Solutions of Contextual Bayesian Optimization
Viet-Anh Le, Andreas A. Malikopoulos

Low-metallicity massive single stars with rotation. III. Source of ionization and C-IV emission in I Zw 18
Dorottya Sz\'ecsi, Frank Tramper, Brankica Kub\'atov\'a, Carolina Kehrig, Ji\v{r}\'i Kub\'at, Ji\v{r}\'i Krti\v{c}ka, Andreas A. C. Sander, Miriam Garcia
https://arxiv.org/abs/2506.21442

Low-metallicity massive single stars with rotation. III. Source of ionization and C-IV emission in I Zw 18
Chemically-homogeneously evolving stars have been proposed to account for several exotic phenomena, including gravitational-wave emissions and gamma-ray bursts. Here we study whether these stars can explain the metal-poor dwarf galaxy, I Zwicky 18. We apply our synthetic spectral models from Paper II to (i) establish a classification sequence for these hot stars, (ii) predict the photonionizing flux and the strength of emission lines from a IZw18-like stellar population, and (iii) compare our p…

#Google #PixelBuds 2
Für den stark rabattierten Kauf eine gute Gelegenheit. Klingen voll und satt und sitzen - obwohl ich kein InEar-Fan bin - gut und angenehm.

Google Pixel Buds 2
Die Frau hat neulich ein Google Pixel 9a bekommen, weil wir einen Gutscheincode von Google hatten und inkl. dem Trade-In vom alten Google Pixel 4a 5G war es ein wohlfeiler Preis. Zudem gab es obendrauf noch die Google Pixel Buds …

Google Pixel Buds 2 Weiterlesen »

Partially Observable Residual Reinforcement Learning for PV-Inverter-Based Voltage Control in Distribution Grids
Sarra Bouchkati, Ramil Sabirov, Steffen Kortmann, Andreas Ulbig
https://arxiv.org/abs/2506.19353

Partially Observable Residual Reinforcement Learning for PV-Inverter-Based Voltage Control in Distribution Grids
This paper introduces an efficient Residual Reinforcement Learning (RRL) framework for voltage control in active distribution grids. Voltage control remains a critical challenge in distribution grids, where conventional Reinforcement Learning (RL) methods often suffer from slow training convergence and inefficient exploration. To overcome these challenges, the proposed RRL approach learns a residual policy on top of a modified Sequential Droop Control (SDC) mechanism, ensuring faster convergenc…

9 Jahre alt - #Skoda #Yeti beim #TÜV ohne Mängel.
Vielleicht behalte ich das Auto doch noch ein bisschen.

9 Jahre alt – Skoda Yeti ohne Mängel
Mitte 2016 wurde unser Auto zum ersten Mal zugelassen. Ein Dreivierteljahr später, habe ich es aus Filderstadt nach Bad Oeynhausen geholt. Seitdem sind wir damit knapp 60 TKM gefahren und insgesamt hat er 73 TKM auf dem Zähler. Größere Reparaturen …

9 Jahre alt – Skoda Yeti ohne Mängel Weiterlesen »