Tootfinder

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

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

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…

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…

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 …

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…

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…

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…

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…

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Arturo Mšrquez, Simón Bolívar Symphony Orchestra & Gustavo Dudamel:
🎵 Danzón no.2
#ArturoMárquez #SimónBolívarSymphonyOrchestra #GustavoDudamel

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…

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.

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,…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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 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…

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Alberto Ginastera, Simón Bolívar Symphony Orchestra & Gustavo Dudamel:
🎵 Malambo (Estancia Op.8a)
#AlbertoGinastera #SimónBolívarSymphonyOrchestra #GustavoDudamel

🇺🇦 #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