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arXiv preprints from January 1, 2026 through September 27, 2026 — 08:37:26 EST

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Posted in cs.CV · 2026-01-05 · Tom Burgert, Leonard Hackel, Paolo Rota, Begüm Demir

Rank-based Geographical Regularization: Revisiting Contrastive Self-Supervised Learning for Multispectral Remote Sensing Imagery

Self-supervised learning (SSL) has become a powerful paradigm for learning from large, unlabeled datasets, particularly in computer vision (CV). However, applying SSL to multispectral remote sensing (RS) images presents unique challenges and opportunities due to the geographical and temporal variability of the data. In this paper, we...

💬 0 commentsarXiv:2601.02289v1PDF
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Posted in astro-ph.HE · 2026-01-05 · Peggy Varniere, Fabien Casse, Fabrice Dodu

Looking for observational signatures of early binary black hole systems

Context. A lot of recent studies have focused on the observables associated with near merger binary black-holes (BBHs) embedded in a circumbinary disk (CBD) but we still we lack knowledge of observables of BBHs in their early stage. In that stage the separation between the two black holes is so large that both black holes could...

💬 0 commentsarXiv:2601.02288v1PDF
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Posted in astro-ph.HE · 2026-01-05 · Yue Zhao, Poshak Gandhi, Christian Knigge, Phil Charles, Daniel Stern, Peter Boorman, Pornisara Nuchvanichakul, Cordelia Dashwood Brown, David A. H. Buckley

A comprehensive search for high-velocity X-ray sources: New compact object binary candidates in the Gaia era

We perform a comprehensive search for high-velocity X-ray sources with large X-ray/optical flux ratios ($F_\mathrm{X}/F_\mathrm{G}$), identifying candidates for interacting black hole or neutron star binaries potentially accelerated by supernova natal kicks. We cross-match X-ray points sources from a variety of catalogues (Chandra,...

💬 0 commentsarXiv:2601.02287v1PDF
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Posted in cs.DC · 2026-01-05 · Rahul Sengupta, Nooshin Yousefzadeh, Manav Sanghvi, Yash Ranjan, Anand Rangarajan, Sanjay Ranka, Yashaswi Karnati, Jeremy Dilmore, Tushar Patel, Ryan Casburn

BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation

With growing urbanization worldwide, efficient management of traffic infrastructure is critical for transportation agencies and city planners. It is essential to have tools that help analyze large volumes of stored traffic data and make effective interventions. To address this need, we present ``BigSUMO", an end-to-end, scalable,...

💬 0 commentsarXiv:2601.02286v1PDF
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Posted in cs.CL · 2026-01-05 · Tobias Schimanski, Imene Kolli, Yu Fan, Ario Saeid Vaghefi, Jingwei Ni, Elliott Ash, Markus Leippold

pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs

PDFs are the second-most used document type on the internet (after HTML). Yet, existing QA datasets commonly start from text sources or only address specific domains. In this paper, we present pdfQA, a multi-domain 2K human-annotated (real-pdfQA) and 2K synthetic dataset (syn-pdfQA) differentiating QA pairs in ten complexity...

💬 0 commentsarXiv:2601.02285v2PDF
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Posted in astro-ph.CO · 2026-01-05 · Phusuda Thanankullaphong, Prasanta Sahoo, Prajwal Hassan Puttasiddappa, Nandan Roy

Quintom Dark Energy: Future Attractor and Phantom Crossing in Light of DESI DR2 Observation

We study the late-time cosmological dynamics of a two-field dark energy model consisting of a canonical quintessence scalar field and a phantom scalar field in a spatially flat FLRW universe. The fields are minimally coupled to gravity and uncoupled at the level of the potential, with the quintessence sector governed by an exponential...

💬 0 commentsarXiv:2601.02284v2PDF
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Posted in cs.SC · 2026-01-05 · Fabio Cumbo, Jayadev Joshi, Daniel Blankenberg

An Automatic Pipeline for the Integration of Python-Based Tools into the Galaxy Platform: Application to the anvi'o Framework

The integration of command-line tools into the Galaxy platform is crucial for making complex computational methods accessible to a broader audience and ensuring reproducible research. However, the manual development of tool wrappers is a time-consuming, error-prone, and knowledge-intensive process. This bottleneck significantly...

💬 0 commentsarXiv:2601.02283v1PDF
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Posted in quant-ph · 2026-01-05 · Alfonso García-Velo, Alberto Ibort

Schwarz maps with symmetry

The theory of symmetry of quantum mechanical systems is applied to study the structure and properties of several classes of relevant maps in quantum information theory: CPTP, PPT and Schwarz maps. First, we develop the general structure that equivariant maps $Φ:\mathcal A \to \mathcal B$ between $C^\ast$-algebras satisfy. Then, we...

💬 0 commentsarXiv:2601.02282v1PDF
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Posted in cs.CV · 2026-01-05 · Shuai Yuan, Yantai Yang, Xiaotian Yang, Xupeng Zhang, Zhonghao Zhao, Lingming Zhang, Zhipeng Zhang

InfiniteVGGT: Visual Geometry Grounded Transformer for Endless Streams

The grand vision of enabling persistent, large-scale 3D visual geometry understanding is shackled by the irreconcilable demands of scalability and long-term stability. While offline models like VGGT achieve inspiring geometry capability, their batch-based nature renders them irrelevant for live systems. Streaming architectures, though...

💬 0 commentsarXiv:2601.02281v1PDF
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Posted in cond-mat.supr-con · 2026-01-05 · Devi Vijayan Ambika, Qing-Ping Ding, Corey E. Frank, Sheng Ran, Nicholas P. Butch, Yuji Furukawa

Enhancement of antiferromagnetic spin fluctuations in UTe$_2$ under pressure revealed by $^{125}$Te NMR

Characterizing magnetic fluctuations is one of the keys to understanding the origin of superconductivity in the spin-triplet superconductor UTe$_2$ which exhibits two superconducting (SC) phases (SC1 and SC2) under pressure: SC1 where a superconducting transition temperature of $T_{\rm c}$ decreases with pressure while $T_{\rm c}$ of...

💬 0 commentsarXiv:2601.02280v1PDF
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Posted in eess.SY · 2026-01-05 · Shijin Chen, Zeyi Liu, Chenyang Li, Dongliang Zou, Xiao He, Donghua Zhou

Multi-mode Fault Diagnosis Datasets of Three-phase Asynchronous Motor Under Variable Working Conditions

Three-phase asynchronous motor are fundamental components in industrial systems, and their failure can lead to significant operational downtime and economic losses. Vibration and current signals are effective indicators for monitoring motor health and diagnosing faults. However, motors in real applications often operate under variable...

💬 0 commentsarXiv:2601.02278v2PDF
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Posted in cond-mat.soft · 2026-01-05 · Palash Bera, Aritra K. Mukhopadhyay, Benno Liebchen

Learning Effective Hydro-Phoretic Interactions in Active Matter

In the quest to understand large-scale collective behavior in active matter, the complexity of hydrodynamic and phoretic interactions remains a fundamental challenge. To date, most works either focus on minimal models that do not (fully) account for these interactions, or explore relatively small systems. The present work develops a...

💬 0 commentsarXiv:2601.02277v2PDF
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Posted in q-fin.MF · 2026-01-05 · Wing Fung Chong, Roxana Dumitrescu, Gechun Liang, Kenneth Tsz Hin Ng

Forward Performance Processes under Multiple Default Risks

This article constructs a forward exponential utility in a market with multiple defaultable risks. Using the Jacod-Pham decomposition for random fields, we first characterize forward performance processes in a defaultable market under the default-free filtration. We then construct a forward utility via a system of recursively defined,...

💬 0 commentsarXiv:2601.02276v1PDF
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Posted in eess.SY · 2026-01-05 · Shrenik Jadhav, Zheng Liu

Machine Learning Guided Cooling System Optimization for Data Center

Effective data center cooling is crucial for reliable operation; however, cooling systems often exhibit inefficiencies that result in excessive energy consumption. This paper presents a three-stage, physics-guided machine learning framework for identifying and reducing cooling energy waste in high-performance computing facilities....

💬 0 commentsarXiv:2601.02275v2PDF
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Posted in math.AP · 2026-01-05 · Sébastien Campagne

Semi-Classical Localization of the Schrödinger Resolvent on Closed Riemann Surfaces

This paper investigates the localization properties of solutions to the semi-classical Schrödinger equation on closed Riemann surfaces. Unlike classical studies that assume a smooth potential, our work addresses the challenges arising from irregular potentials, specifically those that are merely bounded. We employ a regularization...

💬 0 commentsarXiv:2601.02274v1PDF
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Posted in cs.CV · 2026-01-05 · Salim Khazem

TopoLoRA-SAM: Topology-Aware Parameter-Efficient Adaptation of Foundation Segmenters for Thin-Structure and Cross-Domain Binary Semantic Segmentation

Foundation segmentation models such as the Segment Anything Model (SAM) exhibit strong zero-shot generalization through large-scale pretraining, but adapting them to domain-specific semantic segmentation remains challenging, particularly for thin structures (e.g., retinal vessels) and noisy modalities (e.g., SAR imagery). Full...

💬 0 commentsarXiv:2601.02273v1PDF
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Posted in physics.acc-ph · 2026-01-05 · Livio Verra, Alexander Knetsch, Doug Storey

Effect of Synchrotron Radiation on Staged Plasma Wakefield Accelerators

In a staged, beam-driven, plasma wakefield accelerator, electrons are accelerated in a sequence of plasma stages, each powered by a driver electron bunch. Between each stage, a magnetic chicane is used to dispose of the spent driver and to inject the new fresh one, while transporting the witness bunch. We discuss the effect of...

💬 0 commentsarXiv:2601.02272v2PDF
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Posted in math.CO · 2026-01-05 · Pawel Nurowski

In Search of the Canonical Harmony for 12-TET

Is the specific structure of Western tonal harmony a physical inevitability derived from acoustics, or is it merely one solution among many in a purely algebraic landscape? In this paper, we strip away the physics of vibrating strings and treat harmony as the solution to a simple linear system within the cyclic group...

💬 0 commentsarXiv:2601.02271v3PDF
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Posted in cs.ET · 2026-01-05 · Gabriel Timothy, Syeda Amna Rizvi, Muhammad Umair, Athman Bouguettaya, Balsam Alkouz

Modeling Inter-drone Interference as a Service in Skyway Networks

We present a novel investigation into the impact of inter-drone interference on delivery efficiencies within multi-drone skyway networks. We conduct controlled experiments to analyze the behavior of drones in an indoor testbed environment. Our study compares performance between solo flights and concurrent multi-drone operations along...

💬 0 commentsarXiv:2601.02270v1PDF
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Posted in astro-ph.GA · 2026-01-05 · Elizabeth Taylor, Adam C. Carnall, David Maltby, Omar Almaini, Ho-Hin Leung, Struan D. Stevenson, Andrea Negri, Fergus Cullen, Vivienne Wild, Ross J. McLure, Alice E. Shapley, Karla Z. Arellano-Córdova, Ryan Begley, Cecilia Bondestam, Thomas de Lisle, Callum T. Donnan, James S. Dunlop, Richard Ellis, Guillaume Hewitt, Anton M. Koekemoer, Feng-Yuan Frey Liu, Derek J. McLeod, Kate Rowlands, Ryan L. Sanders, Dirk Scholte, Maya Skarbinski, Thomas M. Stanton

The JWST EXCELS survey: Outflows in 1.5 < z < 5 quiescent and recently quenched galaxies are likely relics from episodic AGN activity

We investigate the presence and origin of neutral gas outflows and inflows in 13 post-starburst (PSB) and quiescent galaxies at redshifts 1.8 $\leq$ z $\leq$ 4.6, using JWST NIRSpec spectroscopy from the EXCELS survey. NaD absorption profiles reveal that 3 out of 13 exhibit blueshifted absorption indicative of outflows, and a further...

💬 0 commentsarXiv:2601.02269v2PDF
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Posted in physics.flu-dyn · 2026-01-05 · Nicola de Divitiis

Liouville Spectral Gap and Bifurcation Driven Lagrangian Eulerian Decoupling with Nondiffusive Turbulence Closures

In fully developed homogeneous and isotropic turbulence, the Lagrangian and Eulerian descriptions of motion, although formally equivalent, become statistically decoupled. In this work, by invoking Liouville theorem, we show that the joint probability density function (PDF) of the Eulerian and Lagrangian fields, evolving from arbitrary...

💬 0 commentsarXiv:2601.02268v4PDF
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Posted in cs.CV · 2026-01-05 · Renke Wang, Zhenyu Zhang, Ying Tai, Jun Li, Jian Yang

DiffProxy: Multi-View Human Mesh Recovery via Diffusion-Generated Dense Proxies

Precise human mesh recovery (HMR) from multi-view images remains challenging: end-to-end methods produce entangled errors hard to localize, while fitting-based methods rely on sparse keypoints that provide limited surface constraints. We observe that the true bottleneck lies in the quality of intermediate representations, and that...

💬 0 commentsarXiv:2601.02267v2PDF
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Posted in cond-mat.mtrl-sci · 2026-01-05 · Ahmad Ahmad, Ying-Cheng Chen, Jie Peng, Anter El-Azab

Strain effects on the binding and diffusion energies of Au adatoms and CeO2 admolcules on Au, CeO2, MgO and SrTiO3 surfaces

First-principles density functional theory (DFT) calculations were used to study the effects of elastic strains on the binding and diffusion activation energies of Au adatom and CeO2 admolecule on Au (001), Ce-terminated CeO2 (001), MgO (001), SrO- and TiO2-terminationed SrTiO3 (001) surfaces. In preparation for computing these...

💬 0 commentsarXiv:2601.02450v1PDF