Tootfinder

Instances of models of double-categorical theories
Kevin Carlson, Evan Patterson
https://arxiv.org/abs/2510.08861 https://arxiv.org/pdf/2510.08861

Instances of models of double-categorical theories
We contribute a chapter in common to categorical database theory and to the study of higher morphisms between double categories. The common thread here is the notion of instance, or right module, which we generalize from functors from a plain category into Set to the models of a (cartesian) double theory. This provides a concept of instance for such objects as a category equipped with a monad, or a (symmetric) multicategory, recovering the multifunctors into Set in the latter case. We also show…

\'Etude de quelques familles de $\lambda$-quiddit\'es et minoration de la taille maximale des $\lambda$-quiddit\'es irr\'eductibles sur un corps fini
Flavien Mabilat
https://arxiv.org/abs/2510.09219

Étude de quelques familles de $λ$-quiddités et minoration de la taille maximale des $λ$-quiddités irréductibles sur un corps fini
$λ$-quiddities of size $n$ are $n$-tuples of elements from a fixed set that are solutions to a matrix equation which is fundamental in the study of the combinatorics of the modular group and Coxeter's friezes. To gain further insight into these objects, we use a notion of irreducibility, which allows restricting the study to a limited number of elements that must be determined for each set. Our goal here is to define several families of $λ$-quiddities over finite fields and to study their irr…

Microlensing of non-singular black holes at finite size: a ray tracing approach
Jens Boos, Hao Hu
https://arxiv.org/abs/2510.10282 https://arxiv.org/pdf/25…

Microlensing of non-singular black holes at finite size: a ray tracing approach
We study the gravitational microlensing of various static and spherically symmetric non-singular black holes (and horizonless, non-singular compact objects of similar size). For pointlike sources we extend the parametrized post-Newtonian lensing framework to fourth order, whereas for extended sources we develop a ray tracing approach via a simple radiative transfer model. Modelling non-relativistic proper motion of the lens in front of a background star we record the apparent brightness as a fu…

Automorphisms of valued fields: amalgamation and existential closedness
Jan Dobrowolski, Francesco Gallinaro, Rosario Mennuni
https://arxiv.org/abs/2510.06021 https://

Automorphisms of valued fields: amalgamation and existential closedness
We study valued fields equipped with an automorphism. We prove that all of them have an extension admitting an equivariant cross-section of the valuation. In residual characteristic zero, and in the presence of such a cross-section, we show that amalgamation problems are solvable precisely when the induced residual problem is, characterise the existentially closed objects of this category, and prove that its positive theory does not have the tree property of the second kind. We prove analogous …

An in-depth study of brown dwarfs with TESS
F. Marcadon, A. Pr\v{s}a
https://arxiv.org/abs/2510.05852 https://arxiv.org/pdf/2510.05852

An in-depth study of brown dwarfs with TESS
The existence of a deficit of brown dwarfs (BDs) in close orbit around main-sequence stars is one of the most intriguing questions in stellar physics. This so-called BD desert may result from the transition between two different dominant formation processes occurring for different mass regimes. While the BD mass derived from radial-velocity measurements helps confirm the nature of the analyzed objects, the BD radius obtained from transits is important to better constrain the BD age, as BDs are …

Advancing Interstellar Science: A Global Framework for Comprehensive Study of Interstellar Objects
Omer Eldadi, Gershon Tenenbaum, Abraham Loeb
https://arxiv.org/abs/2510.01405 …

Advancing Interstellar Science: A Global Framework for Comprehensive Study of Interstellar Objects
The operation of the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) marks a transformative moment in humanity's capacity to detect and characterize interstellar objects (ISOs). With projections indicating an increase from a few detections per decade to potentially one every few months, humanity stands at the threshold of unprecedented scientific opportunity offering revolutionary insights into the nature of rocky materials, building blocks of life and technological products …

Stability Conditions and Moduli Spaces on Kuznetsov Component of Cubic Fivefolds
Peize Liu
https://arxiv.org/abs/2509.21454 https://arxiv.org/pdf/2509.2145…

Stability Conditions and Moduli Spaces on Kuznetsov Component of Cubic Fivefolds
We study the Kuznetsov component of cubic fivefolds via their quadric fibration model. We construct a family of Serre-invariant Bridgeland stability conditions on the Kuznetsov component and establish the non-emptiness of all moduli spaces of stable objects. As an application, we identify the lowest-dimensional moduli with the Fano surface of planes of the cubic fivefold, and recover a classical result of its Lagrangian immersion into a hyper-Kähler manifold.

A Mid-Infrared Spectroscopic Study of Young Stellar Objects in the SMC Region NGC 346: JWST Detects Dust, Accretion, Ices and Outflows
Nolan Habel, Omnarayani Nayak, Patrick J. Kavanagh, Olivia C. Jones, Margaret Meixner, Guido De Marchi, Laura Lenkic, Alec S. Hirschauer, Katia Biazzo, Jeroen Jaspers, Conor Nally, Massimo Robberto, Ciaran Rogers, Elena Sabbi, Beth A. Sargent, Peter Zeidler

A Mid-Infrared Spectroscopic Study of Young Stellar Objects in the SMC Region NGC 346: JWST Detects Dust, Accretion, Ices and Outflows
We present mid-infrared spectroscopic observations of intermediate- to high-mass young stellar objects (YSOs) in the low-metallicity star-forming region NGC 346 located within the Small Magellanic Cloud (SMC). We conduct these integral-field-unit observations with the Mid-Infrared Instrument Medium Resolution Spectroscopy instrument on board JWST. The brightest and most active star-forming region in the SMC, NGC 346 has a metallicity of $\sim$1/5 $Z_{\odot}$, analogous to the era when star form…

Two-stream network-driven vision-based tactile sensor for object feature extraction and fusion perception
Muxing Huang, Zibin Chen, Weiliang Xu, Zilan Li, Yuanzhi Zhou, Guoyuan Zhou, Wenjing Chen, Xinming Li
https://arxiv.org/abs/2510.12528

Two-stream network-driven vision-based tactile sensor for object feature extraction and fusion perception
Tactile perception is crucial for embodied intelligent robots to recognize objects. Vision-based tactile sensors extract object physical attributes multidimensionally using high spatial resolution; however, this process generates abundant redundant information. Furthermore, single-dimensional extraction, lacking effective fusion, fails to fully characterize object attributes. These challenges hinder the improvement of recognition accuracy. To address this issue, this study introduces a two-stre…

Investigating the Effect of Prior Exposure and Fidelity on Quality and Realism Perception of VR Digital Twins
Maximilian Warsinke, Maurizio Vergari, Tanja Koji\'c, Daniel Nikulin, Sebastian M\"oller
https://arxiv.org/abs/2509.20106

Investigating the Effect of Prior Exposure and Fidelity on Quality and Realism Perception of VR Digital Twins
This study explores how prior exposure to physical objects influences the quality and realism perception of Digital Twins (DT) with varying levels of fidelity in Virtual Reality (VR). In a mixed experimental design, 24 participants were divided into two equal groups: an exposure group, in which members were shown physical objects before inspecting and rating their replicas in VR, and a control group without prior knowledge. Three objects were presented, each under four fidelity conditions with …

Understanding Exoplanet Habitability: A Bayesian ML Framework for Predicting Atmospheric Absorption Spectra
Vasuda Trehan, Kevin H. Knuth, M. J. Way
https://arxiv.org/abs/2510.08766

Understanding Exoplanet Habitability: A Bayesian ML Framework for Predicting Atmospheric Absorption Spectra
The evolution of space technology in recent years, fueled by advancements in computing such as Artificial Intelligence (AI) and machine learning (ML), has profoundly transformed our capacity to explore the cosmos. Missions like the James Webb Space Telescope (JWST) have made information about distant objects more easily accessible, resulting in extensive amounts of valuable data. As part of this work-in-progress study, we are working to create an atmospheric absorption spectrum prediction model…

A Practical Guide to Rigorously Locate Periodic Orbits in Discrete Dynamics
Luc\'ia Alonso Mozo, Olivier H\'enot, Phillipo Lappicy
https://arxiv.org/abs/2510.06373 https…

A Practical Guide to Rigorously Locate Periodic Orbits in Discrete Dynamics
Periodic orbits are important objects of discrete dynamical systems, but finding them is not always easy. We present a self-contained introductory account, aimed at non-experts, to prove their existence and study their stability using the aid of the computer. The method consists in three main steps. First, we reformulate the problem of identifying a $p$-periodic orbit as a root-finding problem. Second, we find a numerical approximation of the root (i.e. a periodic orbit candidate). Third, we ve…

Learning Paths to Multi-Sector Equilibrium: Belief Dynamics Under Uncertain Returns to Scale
Stefano Nasini, Rabia Nessah, Bertrand Wigniolle
https://arxiv.org/abs/2512.07013 https://arxiv.org/pdf/2512.07013 https://arxiv.org/html/2512.07013
arXiv:2512.07013v1 Announce Type: new
Abstract: This paper explores the dynamics of learning in a multi-sector general equilibrium model where firms operate under incomplete information about their production returns to scale. Firms iteratively update their beliefs using maximum a-posteriori estimation, derived from observed production outcomes, to refine their knowledge of their returns to scale. The implications of these learning dynamics for market equilibrium and the conditions under which firms can effectively learn their true returns to scale are the key objects of this study. Our results shed light on how idiosyncratic shocks influence the learning process and demonstrate that input decisions encode all pertinent information for belief updates. Additionally, we show that a long-memory (path-dependent) learning which keeps track of all past estimations ends up having a worse performance than a short-memory (path-independent) approach.
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Disk fraction among free-floating planetary-mass objects in Upper Scorpius
Tommy Rodrigues, Herv\'e Bouy, Sean N. Raymond, Eduardo L. Mart\'in, Emmanuel Bertin, Javier Olivares, David Barrado, N\'uria Hu\'elamo, Motohide Tamura, N\'uria Miret Roig, Phillip A. B. Galli, Jean-Charles Cuillandre
https://arxiv.org/abs/2510.…

Disk fraction among free-floating planetary-mass objects in Upper Scorpius
Free-floating planetary-mass objects (FFPs) have been detected through direct imaging within several young, nearby star-forming regions. The properties of circumstellar disks around these objects may provide a valuable probe into their origin, but is currently limited by the small sizes of the sample explored. We aim to perform a statistical study of the occurrence of circumstellar disks down to the planetary-mass regime. We performed a systematic survey of disks among the population identified…

Polarimetry imprints of exotic compact objects: relativistic fluid spheres and gravastars
Hanna Liis Tamm, Nicolas Aimar, Jo\~ao Lu\'is Rosa
https://arxiv.org/abs/2509.20344

Polarimetry imprints of exotic compact objects: relativistic fluid spheres and gravastars
Recent observations of polarimetric parameters of active galactic nuclei motivate the study of polarization in the spacetime of exotic compact objects which can mimic the features of black holes in the strong field regime of gravity. In this work, we study the properties of two models for ultra-compact objects containing light rings - relativistic fluid spheres and gravastars. We have simulated the orbit of a hot spot around the considered objects in the polarization ray-tracing software GYOTO,…

Lagrangian description and quantification of scalar mixing in fluid flows from particle tracks
Anna Kl\"unker, Alexandra von Kameke, Kathrin Padberg-Gehle
https://arxiv.org/abs/2509.25030

Lagrangian description and quantification of scalar mixing in fluid flows from particle tracks
Understanding, quantifying and controlling transport and mixing processes are central in the study of fluid flows. Many different Lagrangian approaches have been proposed for detecting organizing flow structures that determine material transport, including recent data-based methods that aim to identify such coherent objects directly from tracer trajectories. These methods have helped to gain a better understanding of the underlying dynamics. However, the quantification of scalar mixing has not …

The spectrum of limit models in a first order setting
Jeremy Beard
https://arxiv.org/abs/2510.03459 https://arxiv.org/pdf/2510.03459

The spectrum of limit models in a first order setting
Originally introduced by Kolmann and Shelah as a surrogate for saturated models, limit models have been established as natural and useful objects when studying abstract elementary classes. Shelah began the study of when (multiple notions of) limit models exist for first order theories. In this paper we look at their structure. In superstable theories it is known that all limit models are isomorphic, but in the strictly stable case the number of non-isomorphic models was not well understood. H…

Exploring the Early Universe with Deep Learning
Emmanuel de Salis, Massimo De Santis, Davide Piras, Sambit K. Giri, Michele Bianco, Nicolas Cerardi, Philipp Denzel, Merve Selcuk-Simsek, Kelley M. Hess, M. Carmen Toribio, Franz Kirsten, Hatem Ghorbel
https://arxiv.org/abs/2509.22018

Exploring the Early Universe with Deep Learning
Hydrogen is the most abundant element in our Universe. The first generation of stars and galaxies produced photons that ionized hydrogen gas, driving a cosmological event known as the Epoch of Reionization (EoR). The upcoming Square Kilometre Array Observatory (SKAO) will map the distribution of neutral hydrogen during this era, aiding in the study of the properties of these first-generation objects. Extracting astrophysical information will be challenging, as SKAO will produce a tremendous amo…

Multiwavelength study of Galactic PeVatron LHAASO J0341 5258
P. Bangale (for the VERITAS Collaboration), X. Wang (for the HAWC Collaboration)
https://arxiv.org/abs/2509.20515 ht…

Multiwavelength study of Galactic PeVatron LHAASO J0341+5258
Galactic PeVatrons are astrophysical sources accelerating particles up to a few PeV (~10$^{15}$ eV). The primary method to identify both electron and proton PeVatrons is the observation of $γ$-ray radiation at ultra-high energies (UHE; E$>$100 TeV). In 2021, LHAASO detected 14 steady $γ$-ray sources with photon energies above 100 TeV and up to 1.4 PeV. Most of these sources can be plausibly associated with objects such as supernova remnants, pulsar wind nebulae, and stellar clusters. However,…

Revealing the temperature effect on the nucleon-nucleon inelastic cross section in isospin-asymmetric nuclear medium
Manzi Nan, Pengcheng Li, Guojun Wei, Xilong Xiang, Wei Zuo, Qingfeng Li
https://arxiv.org/abs/2510.09337

Revealing the temperature effect on the nucleon-nucleon inelastic cross section in isospin-asymmetric nuclear medium
The nucleon-nucleon ($NN$) inelastic cross section plays an important role in constraining the nuclear equation of state at high baryon density and in describing the formation and evolution of compact astrophysical objects. In this study, the temperature $T$ dependence of the $Δ^{++}$ and $Δ^{-}$ production cross sections in the isospin-symmetric and -asymmetric nuclear medium is investigated within the self-consistent and relativistic Boltzmann--Uehling--Uhlenbeck (RBUU) framework. Two relat…

Robust bounds on MACHOs from the faintest galaxies
Peter W. Graham, Harikrishnan Ramani, Maximilian Ruhdorfer
https://arxiv.org/abs/2510.01310 https://arxi…

Robust bounds on MACHOs from the faintest galaxies
We use the dynamical heating of stars in ultrafaint dwarf (UFD) galaxies to set limits on Massive Compact Halo Objects (MACHOs). In our analysis we study the robustness of the bounds under uncertainties in key UFD parameters, such as the half-light radius, stellar velocity dispersion, total halo mass and dark matter and stellar density profiles. We apply this framework to both well-established UFD candidates, as well as the recently discovered UFD candidate Ursa Major III/UNIONS 1. We find that…

MUSE study of two giant low surface brightness galaxies with compact satellites
Anna S. Saburova, Damir Gasymov, Ivan S. Gerasimov, Oleg V. Egorov, Igor V. Chilingarian, Fedor M. Kolganov, Anatoly V. Zasov, Evgenii V. Rubtsov, Anton V. Afanasiev, Mariia V. Demianenko
https://arxiv.org/abs/2509.25310

MUSE study of two giant low surface brightness galaxies with compact satellites
Giant low-surface-brightness disk galaxies (gLSBGs) are rare objects with disk radii up-to 160 kpc and dynamical masses of an order of up to 10$^{12}$ $M_{\odot}$. Their very existence challenges currently accepted theories of galaxy formation and evolution, as it is difficult to build such large, dynamically cold disks through mergers without destroying them. We present deep MUSE mosaic observations of two nearby gLSBGs with compact elliptical satellites: UGC 1382, which hosts a globally count…

RSV-SLAM: Toward Real-Time Semantic Visual SLAM in Indoor Dynamic Environments
Mobin Habibpour, Alireza Nemati, Ali Meghdari, Alireza Taheri, Shima Nazari
https://arxiv.org/abs/2510.02616

RSV-SLAM: Toward Real-Time Semantic Visual SLAM in Indoor Dynamic Environments
Simultaneous Localization and Mapping (SLAM) plays an important role in many robotics fields, including social robots. Many of the available visual SLAM methods are based on the assumption of a static world and struggle in dynamic environments. In the current study, we introduce a real-time semantic RGBD SLAM approach designed specifically for dynamic environments. Our proposed system can effectively detect moving objects and maintain a static map to ensure robust camera tracking. The key innov…

Seeking Kinematic Association of Known FU Orionis Stars with Young Clusters in Cygnus
Tamojeet Roychowdhury, Lynne A. Hillenbrand
https://arxiv.org/abs/2509.25341 https://

Seeking Kinematic Association of Known FU Orionis Stars with Young Clusters in Cygnus
Kinematic studies of young stars and star clusters have increased our understanding of the process of star formation and evolution in the Milky Way. FU Orionis objects are a specific class of young stellar object notable for their extremely high disk-to-star accretion rates. We use parallax and proper motion information from the Gaia astrometric survey to study five known FU Ori stars towards the Cygnus clouds, in the distance range ~500-900 parsecs, and seek evidence of their kinematic associa…

Quadrupole perturbations of slowly spinning Ellis-Bronnikov wormholes
Bahareh Azad, Jose Luis Bl\'azquez-Salcedo, Fech Scen Khoo, Jutta Kunz, Francisco Navarro-L\'erida
https://arxiv.org/abs/2509.22118

Quadrupole perturbations of slowly spinning Ellis-Bronnikov wormholes
We study the axial and polar perturbations of slowly rotating Ellis-Bronnikov wormholes in General Relativity, applying a perturbative double expansion. In particular, we derive the equations for $l=2$, $M_z=2$ perturbations of these objects which are parametrized by an asymmetry parameter. The equations constitute an astrophysically interesting sector of the perturbations that contribute dominantly to the gravitational wave radiation. Moreover, calculation of these modes may exhibit potential …

Kinds of preservations for properties
Temurboy E. Rajabov, Sergey V. Sudoplatov
https://arxiv.org/abs/2509.21876 https://arxiv.org/pdf/2509.21876

Kinds of preservations for properties
We study possibilities of preservations for properties, their links and related connections between semantic and syntactic ones, both in general and as characterizations for subalgebras, congruence relations, Henkin construction, Tarski-Vaught test, some graphs, and graded structures. Traces for types and related objects are studied, too.

What Matters in RL-Based Methods for Object-Goal Navigation? An Empirical Study and A Unified Framework
Hongze Wang, Boyang Sun, Jiaxu Xing, Fan Yang, Marco Hutter, Dhruv Shah, Davide Scaramuzza, Marc Pollefeys
https://arxiv.org/abs/2510.01830

What Matters in RL-Based Methods for Object-Goal Navigation? An Empirical Study and A Unified Framework
Object-Goal Navigation (ObjectNav) is a critical component toward deploying mobile robots in everyday, uncontrolled environments such as homes, schools, and workplaces. In this context, a robot must locate target objects in previously unseen environments using only its onboard perception. Success requires the integration of semantic understanding, spatial reasoning, and long-horizon planning, which is a combination that remains extremely challenging. While reinforcement learning (RL) has become…

Variability of the DG Tau Forbidden Emission Line Low Velocity Component
Noah Otten, Emma Whelan, Yu-Ru Chou, Michihiro Takami, Aisling Murphy, Andrea Banzatti
https://arxiv.org/abs/2509.19256

JuggleRL: Mastering Ball Juggling with a Quadrotor via Deep Reinforcement Learning
Shilong Ji, Yinuo Chen, Chuqi Wang, Jiayu Chen, Ruize Zhang, Feng Gao, Wenhao Tang, Shu'ang Yu, Sirui Xiang, Xinlei Chen, Chao Yu, Yu Wang
https://arxiv.org/abs/2509.24892

JuggleRL: Mastering Ball Juggling with a Quadrotor via Deep Reinforcement Learning
Aerial robots interacting with objects must perform precise, contact-rich maneuvers under uncertainty. In this paper, we study the problem of aerial ball juggling using a quadrotor equipped with a racket, a task that demands accurate timing, stable control, and continuous adaptation. We propose JuggleRL, the first reinforcement learning-based system for aerial juggling. It learns closed-loop policies in large-scale simulation using systematic calibration of quadrotor and ball dynamics to reduce…

Self-lensing binaries in globular clusters - predictions for ELT
Grzegorz Wiktorowicz, Matthew Middleton, Mirek Giersz, Adam Ingram, Adam McMaster, Abbas Askar, Lucas Hellstr\"om
https://arxiv.org/abs/2510.02751

Self-lensing binaries in globular clusters - predictions for ELT
Self-lensing (SL) represents a powerful technique for detecting compact objects in binary systems through gravitational microlensing effects, when a compact companion transits in front of its luminous partner. We present the first comprehensive study of SL probability within globular cluster (GC) environments, utilizing synthetic stellar populations from MOCCA simulations to predict detection rates for the Extremely Large Telescope (ELT). Our analysis incorporates finite-size lens effects for w…