Papers
Research papers from arXiv and related sources
Vertical Structure of Protoplanetary Disks in Scattered Light: A large sample analysis
High-resolution scattered-light imaging has revealed complex morphologies in protoplanetary and circumstellar disks. Measuring the vertical height of the scattering surface is key to understanding ...
J. Byrne, C. Ginski, R. F. van Capelleveen, N. Fitzgerald, A. Garufi, C. Coyne, C. Lawlor, D. McL...
Core-bound waves on a Gross-Pitaevskii vortex
We find the dispersion relations of two elusive families of core-bound excitations of the Gross-Pitaevskii (GP) vortex, varicose (axisymmetric) and fluting (quadrupole) waves. For wavelengths of or...
Evan Papoutsis, Nathan Apfel, Nir Navon
Towards 3D Scene Understanding of Gas Plumes in LWIR Hyperspectral Images Using Neural Radiance Fields
Hyperspectral images (HSI) have many applications, ranging from environmental monitoring to national security, and can be used for material detection and identification. Longwave infrared (LWIR) HS...
Scout Jarman, Zigfried Hampel-Arias, Adra Carr, Kevin R. Moon
TILARA: Template-Independent Line-by-line Algorithm for Radial velocity Analysis. I. Description of the code and application on a Sun-like star
Precise radial velocities (RVs) are commonly derived through cross-correlation or template-matching methods, both of which rely on a reference spectrum that can introduce biases when the data are v...
C. San Nicolas Martinez, N. C. Santos, V. Adibekyan, K. Al Moulla, A. M. Silva, S. G. Sousa
High-Pressure Inelastic Neutron Spectroscopy: A true test of Machine-Learned Interatomic Potential energy landscapes
Machine-learned interatomic potentials (MLIPs) promise to provide near density-functional theory accuracy at a fraction of the computational cost, offering a transformative route toward genuinely p...
Jeff Armstrong, Adam Jackson, Alin Elena
ROScopter: A Multirotor Autopilot based on ROSflight 2.0
ROScopter is a lean multirotor autopilot built for researchers. ROScopter seeks to accelerate simulation and hardware testing of research code with an architecture that is both easy to understand a...
Jacob Moore, Ian Reid, Phil Tokumaru, Tim McLain
Loop Closure via Maximal Cliques in 3D LiDAR-Based SLAM
Reliable loop closure detection remains a critical challenge in 3D LiDAR-based SLAM, especially under sensor noise, environmental ambiguity, and viewpoint variation conditions. RANSAC is often used...
Javier Laserna, Saurabh Gupta, Oscar Martinez Mozos, Cyrill Stachniss, Pablo San Segundo
Temperature-Dependent Dielectric Function of Tantalum Nitride Formed by Atomic Layer Deposition for Tunnel Barriers in Josephson Junctions
We report the dielectric functions of insulating tantalum nitride (TaN) films, deposited using atomic layer deposition (ALD) on 300 mm Si/SiO2 substrates, to demonstrate their suitability as tunnel...
Ekta Bhatia, Aaron Lopez Gonzalez, Yoshitha Hettige, Tuan Vo, Sandra Schujman, Kevin Musick, Thom...
Integral Formulation and the Brézis-Ekeland-Nayroles-Type Principle for Prox-Regular Sweeping Processes
We study sweeping processes in a Hilbert space driven by time-dependent uniformly prox-regular sets, allowing the moving constraint to exhibit discontinuities of bounded variation. We introduce a n...
Juan Guillermo Garrido, Emilio Vilches
DiSCTT: Consensus-Guided Self-Curriculum for Efficient Test-Time Adaptation in Reasoning
Test-time adaptation offers a promising avenue for improving reasoning performance in large language models without additional supervision, but existing approaches often apply a uniform optimizatio...
Mohammad Mahdi Moradi, Sudhir Mudur
Ailed: A Psyche-Driven Chess Engine with Dynamic Emotional Modulation
Chess engines passed human strength years ago, but they still don't play like humans. A grandmaster under clock pressure blunders in ways a club player on a hot streak never would. Conventional eng...
Diego Armando Resendez Prado
A Shift-Invariant Deep Learning Framework for Automated Analysis of XPS Spectra
X-ray Photoelectron Spectroscopy (XPS) is a crucial technique for material surface analysis, yet interpreting its spectra is often challenging for both human analysts and automated methods due to t...
Issa Saddiq, Yuxin Fan, Robert G. Palgrave, Mark A. Isaacs, David Morgan, Keith T. Butler
Evaluation of Feynman integrals via numerical integration of differential equations
We revisit the idea of numerically integrating the differential form of Feynman integrals. With a novel approach for the treatment of branch cuts, we develop an integrator capable of evaluating a b...
Pau Petit Rosàs
PersianPunc: A Large-Scale Dataset and BERT-Based Approach for Persian Punctuation Restoration
Punctuation restoration is essential for improving the readability and downstream utility of automatic speech recognition (ASR) outputs, yet remains underexplored for Persian despite its importance...
Mohammad Javad Ranjbar Kalahroodi, Heshaam Faili, Azadeh Shakery
Exploring $T_{ΥΥ}$ tetraquark candidates in a coupled-channels formalism
We investigate the spectrum of $T_{ΥΥ}$ tetraquark candidates within a coupled-channels framework. The analysis includes all $L\leq2$ combinations of $Υ(1S)$, $Υ(2S)$, $η_b(1S)$, and $η_b(2S)$ in t...
P. G. Ortega, D. R. Entem, F. Fernandez, J. Segovia
Maximum of sparsely equicorrelated Gaussian fields and applications
We investigate the extreme values of a sparse and equicorrelated Gaussian field on a triangle: the correlations on every vertical or horizontal line are all equal to a parameter $r \in [0,1/2]$ and...
Johannes Heiny, Tiefeng Jiang, Tuan Pham, Yongcheng Qi
The Local Tremaine-Weinberg Method for Galactic Pattern Speed: Theory and its Application to IllustrisTNG
The Tremaine-Weinberg (TW) method and its variations provide the most direct means to measure the pattern speeds of galactic bars. We establish a unifying framework by deriving an integral form of ...
Hangci Du, Yougang Wang, Junqiang Ge, Rui Guo
From Code to Road: A Vehicle-in-the-Loop and Digital Twin-Based Framework for Central Car Server Testing in Autonomous Driving
Simulation is one of the most essential parts in the development stage of automotive software. However, purely virtual simulations often struggle to accurately capture all real-world factors due to...
Chengdong Wu, Sven Kirchner, Nils Purschke, Axel Torschmied, Norbert Kroth, Yinglei Song, André S...
Monitoring Covariance in Multichannel Profiles via Functional Graphical Models
Most statistical process monitoring methods for multichannel profiles focus solely on the mean and are almost ineffective when changes involve the covariance structure. Although it is known to be c...
Christian Capezza, Davide Forcina, Antonio Lepore, Biagio Palumbo
The Geometric Inductive Bias of Grokking: Bypassing Phase Transitions via Architectural Topology
Mechanistic interpretability typically relies on post-hoc analysis of trained networks. We instead adopt an interventional approach: testing hypotheses a priori by modifying architectural topology ...
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