Tootfinder

Multicentered black hole saddles for supersymmetric indices
Jan Boruch, Luca V. Iliesiu, Sameer Murthy, Gustavo J. Turiaci
https://arxiv.org/abs/2507.07166

Multicentered black hole saddles for supersymmetric indices
The supersymmetric index in string theory can sometimes have a discontinuous integer-valued jump at co-dimension one surfaces in moduli space called walls of marginal stability. When the index counts black hole microstates, crossing such walls of marginal stability amounts to the appearance or disappearance of a large number of such states. While wall-crossing has been understood in string theory and through the disappearance of extremal Lorentzian supergravity solutions as the moduli are varie…

Astrocyte-Mediated Higher-Order Control of Synaptic Plasticity
Gustavo Menesse, Ana P. Mill\'an, Joaqu\'in J. Torres
https://arxiv.org/abs/2507.07693

Astrocyte-Mediated Higher-Order Control of Synaptic Plasticity
The dynamics of higher-order topological signals are increasingly recognized as a key aspect of the activity of complex systems. A paradigmatic example are synaptic dynamics: synaptic efficacy changes over time driven by different mechanisms. Beyond traditional node-driven short-term plasticity mechanisms, the role of astrocyte modulation through higher-order interactions, in the so-called tripartite synapse, is increasingly recognized. However, the competition and interplay between node-driven…

Superheating and melting phenomena of a vibrated granular layer of cubic particles
Francisco L\'opez-Gonz\'alez, Gustavo M. Rodr\'iguez-Li\~n\'an, Fernando Donado, Felipe Pacheco V\'azquez, Luis Fernando Elizondo-Aguilera
https://arxiv.org/abs/2507.07305

Superheating and melting phenomena of a vibrated granular layer of cubic particles
We report the combined results of experiments and molecular dynamics simulations conducted to investigate superheating phenomena in vertically vibrated granular matter. Specifically, we consider a system of cubic particles densely packed in a square-lattice array and subjected to different shaking strengths, denoted by Gamma, approaching a critical value Gamma_c. Below Gamma_c, the superheated crystalline array remains indefinitely stable. Above Gamma_c, it transitions progressively into a gran…

Mono and Polyauxic Growth Kinetic Models
Gustavo Mockaitis
https://arxiv.org/abs/2507.05960 https://arxiv.org/pdf/2507.05960

Mono and Polyauxic Growth Kinetic Models
Accurate modeling of microbial growth curves is essential for understanding and optimizing bioprocesses in biotechnology and environmental engineering. While classical monoauxic models such as Monod, Boltzmann, and Gompertz are widely used, they often lack biological interpretability or fail to capture the complex, multiphasic growth patterns observed in systems with mixed substrates or microbial communities. This paper presents a methodological framework for reparametrizing the Boltzmann and G…

Accurate $N$-body simulations with local Primordial non-Gaussianities: initial conditions and aliasing
Adrian G. Adame, Santiago Avila, Violeta Gonzalez-Perez, Oliver Hahn, Gustavo Yepes, Marc Manera
https://arxiv.org/abs/2506.06200

Accurate $N$-body simulations with local Primordial non-Gaussianities: initial conditions and aliasing
New generation galaxy surveys targeting constraints on local primordial non-Gaussianity (PNG) demand $N$-body simulations that accurately reproduce its effects. In this work, we explore various prescriptions for the initial conditions of simulations with PNG, aiming to optimise accuracy and minimise numerical errors, particularly due to aliasing. We have used $186$ runs that vary the starting redshift, LPT order, and non-Gaussianities ($f^{\rm local}_{\rm NL}$ and $g^{\rm local}_{\rm NL}$). Sta…

Interest Networks (iNETs) for Cities: Cross-Platform Insights and Urban Behavior Explanations
Gustavo H. Santos, Myriam Delgado, Thiago H. Silva
https://arxiv.org/abs/2507.04995

Interest Networks (iNETs) for Cities: Cross-Platform Insights and Urban Behavior Explanations
Location-Based Social Networks (LBSNs) provide a rich foundation for modeling urban behavior through iNETs (Interest Networks), which capture how user interests are distributed throughout urban spaces. This study compares iNETs across platforms (Google Places and Foursquare) and spatial granularities, showing that coarser levels reveal more consistent cross-platform patterns, while finer granularities expose subtle, platform-specific behaviors. Our analysis finds that, in general, user interest…

The focusing energy-critical nonlinear Schr\"odinger system with power-type growth nonlinearities in the radial case
Luiz Gustavo Farah, Maicon Hespanha
https://arxiv.org/abs/2507.03096

The focusing energy-critical nonlinear Schrödinger system with power-type growth nonlinearities in the radial case
This work is concerned with a coupled system of focusing nonlinear Schrödinger equations involving general power-type nonlinearities in the energy-critical setting for dimensions $3\leq d\leq 5$ in the radial setting. Our aim is to demonstrate the scattering versus blow-up dichotomy in the radial case. To achieve this, we first prove the existence of ground state solutions using the concentration-compactness method combined with variational techniques. We then establish finite-time blow-up thr…

Dilution, Diffusion and Symbiosis in Spatial Prisoner's Dilemma with Reinforcement Learning
Gustavo C. Mangold, Heitor C. M. Fernandes, Mendeli H. Vainstein
https://arxiv.org/abs/2507.02211

Dilution, Diffusion and Symbiosis in Spatial Prisoner's Dilemma with Reinforcement Learning
Recent studies in the spatial prisoner's dilemma games with reinforcement learning have shown that static agents can learn to cooperate through a diverse sort of mechanisms, including noise injection, different types of learning algorithms and neighbours' payoff knowledge.In this work, using an independent multi-agent Q-learning algorithm, we study the effects of dilution and mobility in the spatial version of the prisoner's dilemma. Within this setting, different possible actions for the algor…

Probing interfacial water via color-center-enabled spin magnetometry
Kang Xu, Kapila Elkaduwe, Rohma Khan, Sang-Jun Lee, Dennis Nordlund, Gustavo E. L\'opez, Abraham Wolcott, Daniela Pagliero, Nicolas Giovambattista, Carlos A. Meriles
https://arxiv.org/abs/2507.03148

Probing interfacial water via color-center-enabled spin magnetometry
Understanding the behavior of confined water at liquid-solid interfaces is central to numerous physical, chemical, and biological processes, yet remains experimentally challenging. Here, we utilize shallow nitrogen-vacancy (NV) centers in diamond to investigate the nanoscale dynamics of interfacial water confined between the diamond surface and an overlying fluorinated oil droplet. Using NV-based nuclear magnetic resonance protocols selectively sensitive to 1H and 19F, we independently track wa…

Colombia | Petro se la juega en las calles ante el boicot en el palacio - El Salto - Edición General
https://www.elsaltodiario.com/colombia/petro-se-juega-calles-boicot-palacio

Petro se la juega en las calles ante el boicot en el palacio
El paro nacional en apoyo al Gobierno es el último capítulo de una escalada de tensión entre el bloque que lidera Gustavo Petro y los poderes fácticos que obstaculizan la agenda de cambios del primer presidente progresista de la historia de Colombia.

Optimal protocol for collisional Brownian engines
Gustavo A. L. For\~ao
https://arxiv.org/abs/2506.05078 https://arxiv.org/pdf/2506.0…

Optimal protocol for collisional Brownian engines
Collisional Brownian engines have recently gained attention as alternatives to conventional nanoscale engines. However, a comprehensive optimization of their performance, which could serve as a benchmark for future engine designs, is still lacking. In this work, we address this gap by deriving and analyzing the optimal driving protocol for a collisional Brownian engine. By maximizing the average output work, we show that the optimal protocol consists of linear force segments separated by impuls…

Composable Building Blocks for Controllable and Transparent Interactive AI Systems
Sebe Vanbrabant, Gustavo Rovelo Ruiz, Davy Vanacken
https://arxiv.org/abs/2506.02262

Composable Building Blocks for Controllable and Transparent Interactive AI Systems
While the increased integration of AI technologies into interactive systems enables them to solve an equally increasing number of tasks, the black box problem of AI models continues to spread throughout the interactive system as a whole. Explainable AI (XAI) techniques can make AI models more accessible by employing post-hoc methods or transitioning to inherently interpretable models. While this makes individual AI models clearer, the overarching system architecture remains opaque. To this end,…

Spin-Based Modeling of Perception as Emergent from contextualized Internal Evaluation
Laura Fanfarillo, Gustavo Diez, Victor G\'omez Mayordomo, Miguel Bosch, J. Ricardo Arias-Gonzalez, Bel\'en Valenzuela
https://arxiv.org/abs/2507.06041

Spin-Based Modeling of Perception as Emergent from contextualized Internal Evaluation
We develop a microscopic model of perception of an interoceptive sensation in which spin-like variables encode an organism's internal evaluation of embodied vital norms associated with the sensation. Spins can take positive, negative, or neutral values. These local valorizations interact on a lattice embedded in the environmental context, and their collective configuration gives rise to a macroscopic perceptual state. By applying a coarse-graining procedure to a family of symmetric spin models,…

Effective description of Nelson-Barr models and the theta parameter
Gustavo H. S. Alves, Celso C. Nishi
https://arxiv.org/abs/2506.03257 https://

Effective description of Nelson-Barr models and the theta parameter
Nelson-Barr theories solve the strong CP problem with CP spontaneously broken at Λ_{CP} and transmitted to the CP conserving version of the SM through vector-like quarks (VLQs). For an arbitrary number of CP breaking scalars and VLQs, we perform the full one-loop matching calculations at Λ_{CP} up to dimension five operators and the relevant matching calculations at the VLQ scale relevant to tracking the contributions to the parameter \barθ. In the EFT after the CP breaking scalars have been…

Static disorder-induced renormalization of polariton group velocity
Gustavo J. R. Aroeira, Raphael F. Ribeiro
https://arxiv.org/abs/2507.00918 https://

Static disorder-induced renormalization of polariton group velocity
Molecular exciton-polaritons exhibit long-range, ultrafast propagation, yet recent experiments have reported far slower propagation than expected. In this work, we implement a nonperturbative approach to quantify how static energetic disorder renormalizes polariton group velocity in strongly coupled microcavities. The method requires no exact diagonalization or master equation propagation, and depends only on measurable parameters: the mean exciton energy and its variance, the microcavity dispe…

Towards the target and not beyond: 2d vs 3d visual aids in mr-based neurosurgical simulation
Pasquale Cascarano, Andrea Loretti, Matteo Martinoni, Luca Zanuttini, Alessio Di Pasquale, Gustavo Marfia
https://arxiv.org/abs/2506.05164

Towards the target and not beyond: 2d vs 3d visual aids in mr-based neurosurgical simulation
Neurosurgery increasingly uses Mixed Reality (MR) technologies for intraoperative assistance. The greatest challenge in this area is mentally reconstructing complex 3D anatomical structures from 2D slices with millimetric precision, which is required in procedures like External Ventricular Drain (EVD) placement. MR technologies have shown great potential in improving surgical performance, however, their limited availability in clinical settings underscores the need for training systems that fos…

Modification of a Numerical Method Using FIR Filters in a Time-dependent SIR Model for COVID-19
Felipe Rog\'erio Pimentel, Rafael Gustavo Alves
https://arxiv.org/abs/2506.21739

Modification of a Numerical Method Using FIR Filters in a Time-dependent SIR Model for COVID-19
Authors Yi-Cheng Chen, Ping-En Lu, Cheng-Shang Chang, and Tzu-Hsuan Liu use the Finite Impulse Response (FIR) linear system filtering method to track and predict the number of people infected and recovered from COVID-19, in a pandemic context in which there was still no vaccine and the only way to avoid contagion was isolation. To estimate the coefficients of these FIR filters, Chen et al. used machine learning methods through a classical optimization problem with regularization (ridge regressi…

Simple subquotients of relation modules
Gustavo Costa, Lucas Queiroz Pinto, Luis Enrique Ramirez
https://arxiv.org/abs/2507.01221 https://

Simple subquotients of relation modules
In this paper we provide an explicit tableaux realization for all simple subquotients of a relation Gelfand-Tsetlin $\mathfrak{gl}(n)$-module.

Toward Effective AI Governance: A Review of Principles
Danilo Ribeiro, Thayssa Rocha, Gustavo Pinto, Bruno Cartaxo, Marcelo Amaral, Nicole Davila, Ana Camargo
https://arxiv.org/abs/2505.23417

Toward Effective AI Governance: A Review of Principles
Artificial Intelligence (AI) governance is the practice of establishing frameworks, policies, and procedures to ensure the responsible, ethical, and safe development and deployment of AI systems. Although AI governance is a core pillar of Responsible AI, current literature still lacks synthesis across such governance frameworks and practices. Objective: To identify which frameworks, principles, mechanisms, and stakeholder roles are emphasized in secondary literature on AI governance. Method: We…

International #degrowth conference starts in #Oslo later today, til Friday.
You can watch plenaries on the #livestream. Looks like Gustavo Petro will not now be giving the inaugural address but Irene Vélez…

Chasing Serendipity: Tackling Transient Sources with Neutrino Telescopes
Lua F. T. Airoldi, Gustavo F. S. Alves, Yuber F. Perez-Gonzalez, Gabriel M. Salla, Renata Zukanovich Funchal
https://arxiv.org/abs/2505.24652

Chasing Serendipity: Tackling Transient Sources with Neutrino Telescopes
The discovery of ultra-high-energy neutrinos by IceCube marked the beginning of neutrino astronomy. Yet, the origin and production mechanisms of these neutrinos remain open questions. With the recent observation of the highest-energy neutrino event to date by the KM3NeT collaboration, transient sources - astrophysical objects that emit particles in brief, localized bursts - have emerged as promising candidates. In this work, we revisit the identification of such sources in IceCube and future ne…

NASP: Network Slice as a Service Platform for 5G Networks
Felipe Hauschild Grings, Gustavo Zanatta Bruno, Lucio Rene Prade, Cristiano Bonato Both, Jos\'e Marcos Camara Brito
https://arxiv.org/abs/2505.24051

NASP: Network Slice as a Service Platform for 5G Networks
With 5G's rapid global uptake, demand for agile private networks has exploded. A defining beyond-5G capability is network slicing. 3GPP specifies three core slice categories, massive Machine-Type Communications (mMTC), enhanced Mobile Broadband (eMBB), and Ultra-Reliable Low-Latency Communications (URLLC), while ETSI's Zero-Touch Network and Service Management (ZSM) targets human-less operation. Yet existing documents do not spell out end-to-end (E2E) management spanning multiple domains and su…

UAIbot: Beginner-friendly web-based simulator for interactive robotics learning and research
Johnata Brayan, Armando Alves Neto, Pavel Petrovi\v{c}, Gustavo M Freitas, Vinicius Mariano Gon\c{c}alves
https://arxiv.org/abs/2506.21178

UAIbot: Beginner-friendly web-based simulator for interactive robotics learning and research
This paper presents UAIbot, a free and open-source web-based robotics simulator designed to address the educational and research challenges conventional simulation platforms generally face. The Python and JavaScript interfaces of UAIbot enable accessible hands-on learning experiences without cumbersome installations. By allowing users to explore fundamental mathematical and physical principles interactively, ranging from manipulator kinematics to pedestrian flow dynamics, UAIbot provides an eff…

Walking Through Complex Spatial Patterns of Climate and Conflict-Induced Displacements
David Carranza, Devansh Sharma, Francisco Malveiro, Gustavo Kohlrausch, Jisha Mariyam John, Kaloyan Danovski, Malvina Bozhidarova, Rui Zheng, Sandro Sousa
https://arxiv.org/abs/2506.22120

Walking Through Complex Spatial Patterns of Climate and Conflict-Induced Displacements
Extreme weather events are projected to intensify global migration, increase resource competition, and amplify socio-spatial phenomena, including intergroup conflicts, socioeconomic inequalities, and unplanned displacements, among others. Addressing these challenges requires consolidating heterogeneous data to identify, estimate, and predict the dynamical process behind climate-induced movements. We propose a novel hybrid approach to reconstruct hazard-induced displacements by analysing the sta…

A Demonstration of Interstellar Navigation Using New Horizons
Tod R. Lauer, David H. Munro, John R. Spencer, Marc W. Buie, Edward L. Gomez, Gregory S. Hennessy, Todd J. Henry, George H. Kaplan, John F. Kielkopf, Brian H. May, Joel W. Parker, Simon B. Porter, Eliot Halley Vrijmoet, Harold A. Weaver, Pontus Brandt, Kelsi N. Singer, S. Alan Stern, Anne. J. Verbiscer, Pedro Acosta, Nicol\'as Ariel Arias, Sergio Babino, Gustavo Enrique Ballan, V\'ictor \'Angel Buso, Steven J. Co…

A Demonstration of Interstellar Navigation Using New Horizons
As NASA's New Horizons spacecraft exits the Solar System bound for interstellar space, it has traveled so far that the nearest stars have shifted markedly from their positions seen from Earth. We demonstrated this by imaging the Proxima Centauri and Wolf 359 fields from Earth and New Horizons on 2020 April 23, when the spacecraft was 47.1 au distant. The observed parallaxes for Proxima Centauri and Wolf 359 are $32.4''$ and $15.7'',$ respectively. These measurements are not of research grade, b…

On the Exceptional Sets of Transcendental Analytic Functions in Several Variables with Integer Coefficients
Jean Lelis, Bruno De Paula Miranda, Carlos Gustavo Moreira
https://arxiv.org/abs/2506.15914

On the Exceptional Sets of Transcendental Analytic Functions in Several Variables with Integer Coefficients
In 2020, Marques and Moreira proved that every subset of $\overline{\mathbb{Q}} \cap B(0,1)$, which is closed under complex conjugation and contains $0$, is the exceptional set of uncountably many transcendental analytic functions with integer coefficients. In this paper, we extend this result to transcendental analytic functions in several variables. In particular, we show that every subset of $\overline{\mathbb{Q}}^m$ contained in the unit polydisc $Δ(0;1)$, closed under complex conjugation …

Revisiting Power System Stabilizers with Increased Inverter-Based Generation: A Case Study
Jovan Krajacic, Keith Moffat, Gustavo Valverde
https://arxiv.org/abs/2506.19357

Revisiting Power System Stabilizers with Increased Inverter-Based Generation: A Case Study
As power systems evolve with increasing production from Inverter-Based Resources (IBRs), their underlying dynamics are undergoing significant changes that can jeopardize system operation, leading to poorly damped oscillations or small-signal rotor angle instability. In this work, we investigate whether Power System Stabilizer (PSS) setting adjustments can effectively restore system stability and provide adequate damping in systems with increased IBR penetration, using the benchmark Kundur Two-A…

🇺🇦 #NowPlaying on BBCRadio3's #Breakfast
Pyotr Ilyich Tchaikovsky, Vienna Philharmonic & Gustavo Dudamel:
🎵 Swan Lake (Waltz)
#PyotrIlyichTchaikovsky #ViennaPhilharmonic #GustavoDudamel

An H$\alpha$ Cloud in the HI Tail: Recent Star Formation in the Outskirts of NGC 4258 Revealed by Nanshan 1-m Telescope
Cheng Cheng, Jia-Sheng Huang, Peng Wei, Ali Esamdin, Guojie Feng, Zhi-Xiang Zhang, Haojing Yan, Wei Du, Pei Zuo, Zi-Jian Li, Gustavo Orellana, Letian Wang, Yong Wang, Abdusamatjan Iskandar, Shahidin Yaqup
https://

An H$α$ Cloud in the HI Tail: Recent Star Formation in the Outskirts of NGC 4258 Revealed by Nanshan 1-m Telescope
We present first-light deep H$α$ imaging taken with the Nanshan 1-meter wide-field telescope on the local galaxy NGC 4258, alongside archival data from Hubble Space telescope (HST), Westerbork Synthesis Radio Telescope, and The Dark Energy Camera Legacy Survey. The H$α$ image shows ongoing star formation not only inside the galaxy but also in an HI cloud in the eastern HI tail, which is roughly 16 kpc away from the main galaxy. The HST images reveal several ultra-blue compact objects ($\rm F5…

Probing Cosmic Curvature with Fast Radio Bursts and DESI DR2
J\'eferson A. S. Fortunato, Wiliam S. Hip\'olito-Ricaldi, Gustavo E. Romero
https://arxiv.org/abs/2506.01504

Probing Cosmic Curvature with Fast Radio Bursts and DESI DR2
The spatial curvature of the Universe remains a central question in modern cosmology. In this work, we explore the potential of localized Fast Radio Bursts (FRBs) as a novel tool to constrain the cosmic curvature parameter $Ω_k$ in a cosmological model-independent way. Using a sample of 80 FRBs with known redshifts and dispersion measures, we reconstruct the Hubble parameter $H(z)$ via artificial neural networks, which is then used to obtain angular diameter distances $D_A(z)$ through two comp…

Could a Primordial Black Hole Explosion Explain the KM3NeT Event?
Lua F. T. Airoldi, Gustavo F. S. Alves, Yuber F. Perez-Gonzalez, Gabriel M. Salla, Renata Zukanovich Funchal
https://arxiv.org/abs/2505.24666

Could a Primordial Black Hole Explosion Explain the KM3NeT Event?
A black hole is expected to end its lifetime in a cataclysmic runaway burst of Hawking radiation, emitting all Standard Model particles with ultra-high energies. Thus, the explosion of a nearby primordial black hole (PBH) has been proposed as a possible explanation for the $\sim 220$ PeV neutrino-like event recently reported by the KM3NeT collaboration. Assuming a PBH origin, we find that the source would need to lie at a distance of approximately $4 \times 10^{-5}$ pc, i.e., within the Solar S…

Probing aqueous interfaces with spin defects
Alfonso Castillo, Gustavo R. Perez-Lemus, Mykyta Onizhuk, Giulia Galli
https://arxiv.org/abs/2507.01220 https:…

Probing aqueous interfaces with spin defects
Understanding the physical and chemical properties of aqueous interfaces is important in diverse fields of science, ranging from biology and chemistry to materials science. In spite of crucial progress in surface sensitive spectroscopic techniques over the past decades, the microscopic properties of aqueous interfaces remain difficult to measure. Here we explore the use of noise spectroscopy to characterize interfacial properties, specifically of quantum sensors hosted in two-dimensional materi…

IMA-Catcher: An IMpact-Aware Nonprehensile Catching Framework based on Combined Optimization and Learning
Francesco Tassi (Human-Robot Interfaces and Interaction Lab., Istituto Italiano di Tecnologia, Italy), Jianzhuang Zhao (Human-Robot Interfaces and Interaction Lab., Istituto Italiano di Tecnologia, Italy), Gustavo J. G. Lahr (Human-Robot Interfaces and Interaction Lab., Istituto Italiano di Tecnologia, Italy), Luna Gava (Event-Driven Perception for Robotics Lab, Istituto Italiano d…

IMA-Catcher: An IMpact-Aware Nonprehensile Catching Framework based on Combined Optimization and Learning
Robotic catching of flying objects typically generates high impact forces that might lead to task failure and potential hardware damages. This is accentuated when the object mass to robot payload ratio increases, given the strong inertial components characterizing this task. This paper aims to address this problem by proposing an implicitly impact-aware framework that accomplishes the catching task in both pre- and post-catching phases. In the first phase, a motion planner generates optimal tra…

A Conceptual Framework for AI Capability Evaluations
Mar\'ia Victoria Carro, Denise Alejandra Mester, Francisca Gauna Selasco, Luca Nicol\'as Forziati Gangi, Matheo Sandleris Musa, Lola Ramos Pereyra, Mario Leiva, Juan Gustavo Corvalan, Mar\'ia Vanina Martinez, Gerardo Simari
https://arxiv.org/abs/2506.18213

A Conceptual Framework for AI Capability Evaluations
As AI systems advance and integrate into society, well-designed and transparent evaluations are becoming essential tools in AI governance, informing decisions by providing evidence about system capabilities and risks. Yet there remains a lack of clarity on how to perform these assessments both comprehensively and reliably. To address this gap, we propose a conceptual framework for analyzing AI capability evaluations, offering a structured, descriptive approach that systematizes the analysis of …

Stability of compact actions and a result on divided differences
Carlos Gustavo Moreira, Nicolau C. Saldanha
https://arxiv.org/abs/2506.14446 https://

Stability of compact actions and a result on divided differences
We study smooth locally free actions of ${\mathbb R}^n$ on manifolds $M$ of dimension $n+1$. We are interested in compact orbits and in compact actions: actions with all orbits compact. Given a compact orbit in a neighborhood of compact orbits, we give necessary and sufficient conditions for the existence of a $C^k$ perturbation with noncompact orbits in the given neighborhood. We prove that if such a perturbation exists it can be assumed to differ from the original action only in a smaller nei…

Replaced article(s) found for math.RT. https://arxiv.org/list/math.RT/new
[1/1]:
- $Q$-shaped derived categories as derived categories of differential graded bimodules
Gustavo Jasso

Numerical approximation of a PDE-constrained Optimization problem that appears in Data-Driven Computational Mechanics
Pedro B. Bazon, Cristian G. Gebhardt, Gustavo C. Buscaglia, Roberto F. Ausas
https://arxiv.org/abs/2506.10894

Numerical approximation of a PDE-constrained Optimization problem that appears in Data-Driven Computational Mechanics
We investigate an optimization problem that arises when working within the paradigm of Data-Driven Computational Mechanics. In the context of the diffusion-reaction problem, such an optimization problem seeks for the continuous primal fields (gradient and flux) that are closest to some predefined discrete fields taken from a material data set. The optimization is performed over primal fields that satisfy the physical conservation law and the geometrical compatibility. We consider a reaction ter…

Lya2pcf: an efficient pipeline to estimate two- and three-point correlation functions of the Lyman-$\alpha$ forest
Josue De-Santiago, Rafael Guti\'errez-Balboa, Gustavo Niz, Alma X. Gonz\'alez-Morales
https://arxiv.org/abs/2507.00129

Lya2pcf: an efficient pipeline to estimate two- and three-point correlation functions of the Lyman-$α$ forest
Studying the matter distribution in the universe through the Lyman-$α$ forest allows us to constrain small-scale physics in the high-redshift regime. Spectroscopic quasar surveys are generating increasingly large datasets that require efficient algorithms to compute correlation functions. Moreover, cosmological analyses based on Lyman-$α$ forests can significantly benefit from incorporating higher-order statistics alongside traditional two-point correlations. In this work, we present Lya2pcf,…

Synthesis and anisotropic magnetism of singlecrystalline GdPt2Si2
Gustavo Gomes Vasques, Mateus Dutra, Pedro Caetano Sabino, Juliana Gon\c{c}alves Dias, Julian Andr\'es Mun\'evar Cagigas, Adriano Reinaldo Vi\c{c}oto Benvenho, Marcos A. Avila
https://arxiv.org/abs/2506.12170

Synthesis and anisotropic magnetism of singlecrystalline GdPt2Si2
Single crystals of GdPt$_2$Si$_2$ were grown using the Sn flux method, crystallizing in the CaBe$_2$Ge$_2$-type tetragonal structure with space group $P4/nmm$. Electrical resistivity, specific heat, and magnetization data revealed the presence of a double magnetic transition with $T_N \approx 8.4$~K and $T_0 \approx 6.8$~K. Analysis of the specific heat data suggest amplitude-modulated and equal-moment antiferromagnetic orderings, respectively. Field-induced magnetization and magnetic susceptib…

How Developers Use AI Agents: When They Work, When They Don't, and Why
Aayush Kumar, Yasharth Bajpai, Sumit Gulwani, Gustavo Soares, Emerson Murphy-Hill
https://arxiv.org/abs/2506.12347

How Developers Use AI Agents: When They Work, When They Don't, and Why
Software Engineering Agents (SWE agents) can autonomously perform development tasks on benchmarks like SWE Bench, but still face challenges when tackling complex and ambiguous real-world tasks. Consequently, SWE agents are often designed to allow interactivity with developers, enabling collaborative problem-solving. To understand how developers collaborate with SWE agents and the communication challenges that arise in such interactions, we observed 19 developers using an in-IDE agent to resolve…

Bar properties as a function of wavelength in Illustris TNG50: analysis of mock images
Gustavo F. Gon\c{c}alves, Rubens E. G. Machado, Kar\'in Men\'endez-Delmestre, Thiago Bueno-Dalpiaz
https://arxiv.org/abs/2506.19373

Bar properties as a function of wavelength in Illustris TNG50: analysis of mock images
Recent studies used Illustris TNG50 galaxies to study bar formation, evolution, and properties like length, strength, and pattern speed. In simulations, these are typically derived from particle positions and mass distribution, neglecting stellar light and extinction effects. However, observational studies indicate that bar appearance depends on wavelength. To test whether this dependence exists in TNG50 at $z \sim 0$, we analysed 50 strongly barred galaxies using mock images from SKIRT radiati…

The phenomenological renormalization group in neuronal models near criticality
Kaio F. R. Nascimento, Daniel M. Castro, Gustavo G. Cambrainha, Mauro Copelli
https://arxiv.org/abs/2506.14053

The phenomenological renormalization group in neuronal models near criticality
The phenomenological renormalization group (PRG) has been applied to the study of scaleinvariant phenomena in neuronal data, providing evidence for critical phenomena in the brain. However, it remains unclear how reliably these observed signatures indicate genuine critical behavior, as it is not well established how close to criticality a system must be for them to emerge. Here, we rely on neuronal models with known critical points to investigate under which conditions the PRG procedure yields …

Ground states of the planar nonlinear Schr\"odinger--Newton system with a point interaction
Gustavo de Paula Ramos
https://arxiv.org/abs/2506.18202 ht…

Ground states of the planar nonlinear Schrödinger--Newton system with a point interaction
We establish sufficient conditions for the existence of ground states of the following normalized nonlinear Schrödinger--Newton system with a point interaction: \[ \begin{cases} - Δ_αu = w u + βu |u|^{p - 2} &\text{on} ~ \mathbb{R}^2; \\ - Δw = 2 π|u|^2 &\text{on} ~ \mathbb{R}^2; \\ \|u\|_{L^2}^2 = c, \end{cases} \] where $p > 2$; $α, β\in \mathbb{R}$ and $- Δ_α$ denotes the Laplacian of point interaction with scattering length $(- 2 πα)^{- 1}$. Additio…

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Exploring blazars through sonification. Visual and auditory insights into multifrequency variability
Gustavo Magallanes-Guij\'on, Sergio Mendoza

The global communication pathways of the human brain transcend the cortical-subcortical-cerebellar division
Julian Schulte, Mario Senden, Gustavo Deco, Xenia Kobeleva, Gorka Zamora-L\'opez
https://arxiv.org/abs/2505.22893

The global communication pathways of the human brain transcend the cortical-subcortical-cerebellar division
Neural communication across the cortex, subcortex, and cerebellum is orchestrated by the structural connectome, forming the indispensable anatomical framework for capabilities spanning from elementary motor actions to higher cognitive functions. Yet, despite this importance, the core organizational rules that govern this connectivity remain insufficiently understood. Here we show, for the first time, how the integrated cortical, subcortical, and cerebellar brain areas shape the structural archi…

🇺🇦 #NowPlaying on BBCRadio3's #Breakfast
Leonard Bernstein, Ariana DeBose, David Alvarez, New York Philharmonic & Gustavo Dudamel:
🎵 America (West Side Story)
#LeonardBernstein #ArianaDeBose #DavidAlvarez #NewYorkPhilharmonic #GustavoDudamel

Universality of the entropy stairway in homogeneous isotropization
Gustavo de Oliveira, Willians Barreto, Romulo Rougemont
https://arxiv.org/abs/2506.10294

Universality of the entropy stairway in homogeneous isotropization
We numerically investigate the time evolution of the non-equilibrium entropy during the homogeneous isotropization dynamics of the 2 R-Charge Black Hole (2RCBH) model, corresponding to a top-down holographic fluid defined at finite temperature and R-charge density. In addition to the entropy, we also analyze the time evolution of the pressure anisotropy and the scalar condensate of the medium. When the system is far-from-equilibrium the dominant and weak energy conditions can be transiently vio…

Replaced article(s) found for astro-ph.HE. https://arxiv.org/list/astro-ph.HE/new
[1/1]:
- Exploring blazars through sonification. Visual and auditory insights into multifrequency variability
Gustavo Magallanes-Guij\'on, Sergio Mendoza

The DECam MAGIC Survey: Spectroscopic Follow-up of the Most Metal-Poor Stars in the Distant Milky Way Halo
Vinicius M. Placco, Guilherme Limberg, Anirudh Chiti, Deepthi S. Prabhu, Alexander P. Ji, Fabr\'icia O. Barbosa, William Cerny, Andrew B. Pace, Guy S. Stringfellow, David J. Sand, Clara E. Mart\'inez-V\'azquez, Alexander H. Riley, Silvia Rossi, Noelia E. D. No\"el, A. Katherina Vivas, Gustavo E. Medina, Alex Drlica-Wagner, Joanna D. Sakowska, Bur\c{c}in Mutlu-Pakd…

The DECam MAGIC Survey: Spectroscopic Follow-up of the Most Metal-Poor Stars in the Distant Milky Way Halo
In this work, we present high-resolution spectroscopic observations for six metal-poor stars with [Fe/H]<-3 (including one with [Fe/H]<-4), selected using narrow-band Ca II HK photometry from the DECam MAGIC Survey. The spectroscopic data confirms the accuracy of the photometric metallicities and allows for the determination of chemical abundances for 16 elements, from carbon to barium. The program stars have chemical abundances consistent with this metallicity range. A kinematic/dynamical anal…

Generalized Modulated Symmetries in $\mathbb{Z}_2$ Topological Ordered Phases
Gustavo M. Yoshitome, Heitor Casasola, Rodrigo Corso, Pedro R. S. Gomes
https://arxiv.org/abs/2506.10819

Generalized Modulated Symmetries in $\mathbb{Z}_2$ Topological Ordered Phases
We study $\mathbb{Z}_2$ topological ordered phases in 2+1 dimensions characterized by generalized modulated symmetries. Such phases have explicit realizations in terms of fixed-point Hamiltonians involving commuting projectors with support $h=3,5,7,\ldots$ in the horizontal direction, which dictates the modulation of the generalized symmetries. These symmetries are sensitive to the lattice sizes. For certain sizes, they are spontaneously broken and the ground state is degenerated, while for the…

The LHC as an Axion-Photon Collider
Sergio Barbosa, Matheus Coelho, Sylvain Fichet, Gustavo Gil da Silveira, Magno Machado
https://arxiv.org/abs/2506.10066

The LHC as an Axion-Photon Collider
Assuming the existence of an axion-like particle (ALP), beams of relativistic particles emit fluxes of quasi-real ALPs, analogous to the photon fluxes described by Weizsäcker-Williams-type approximations. Consequently, analogously to photon collisions, ALP-ALP and ALP-photon collisions can occur at the LHC. We initiate the study of the LHC as an ALP collider, and show that ALP collisions provide competitive probes of certain ALP couplings. We show that ALP fluxes from heavy ions are suppressed…

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Alberto Ginastera, Simón Bolívar Symphony Orchestra & Gustavo Dudamel:
🎵 Malambo (Estancia Op.8a)
#AlbertoGinastera #SimónBolívarSymphonyOrchestra #GustavoDudamel

Geometric Cosmology models: statistical analysis with observational data
Mat\'ias Leizerovich, Luisa G. Jaime, Susana J. Landau, Gustavo Arciniega
https://arxiv.org/abs/2506.11299

Geometric Cosmology models: statistical analysis with observational data
Although the standard cosmological model is capable of explaining most current observational data, it faces some theoretical and observational issues. This is the main motivation for exploring alternative cosmological models. In this paper, we focus on a novel proposal that consists in adding an infinite tower of higher-order curvature invariants to the usual Einstein-Hilbert action. We obtain the late-time background evolution for three families of models that can be obtained from this proposa…

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Pyotr Ilyich Tchaikovsky, Vienna Philharmonic & Gustavo Dudamel:
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Ludwig van Beethoven, Simón Bolívar Symphony Orchestra & Gustavo Dudamel:
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