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Alejandra León

Publications and source records attributed to Alejandra León.

3 recordsLinked to original sources

Constraining the gamma-ray efficiency of LINER outflows with Fermi-LAT and MEGARA

Low-Ionization Nuclear Emission-line Regions (LINERs) commonly host ionized gas outflows, but their role as high-energy particle accelerators remains debated, particularly following the very-high-energy $γ$-ray detection of NGC 4278, which implied extreme radiative efficiencies. We empirically determine the $γ$-ray radiative efficiency of a local sample of LINERs to test whether their high-energy emission can be powered by extended ionized outflows or requires compact nuclear jets. We combine spatially resolved optical integral-field kinematics from the Multi-Espectrógrafo en GTC de Alta Resolución para Astronomía at the Gran Telescopio de Canarias, yielding ionized-outflow kinetic powers, with 17 years of Fermi-Large Area Telescope observations to derive 0.05--500 GeV luminosities or 95% confidence upper limits. We place the sample in an optical/$γ$-ray diagram alongside archetypal starbursts and radio galaxies. We present the first empirical upper limits on the $γ$-ray radiative efficiency of LINER outflows as a population. No LINER is formally detected ($TS \geq 16$). The strongest constraint is obtained for the radio-loud LINER NGC 1052, with $η< 41%$. For the remaining sources, the Fermi-LAT limits generally lie well above the outflow kinetic powers ($η\gg 100%$), while three sources show marginal hints of emission ($9 < TS < 16$). We conclude that extended ionized outflows in LINERs are highly inefficient high-energy particle accelerators, analogous to starburst superwinds. These constraints disfavor the outflows as the sole origin of extreme $γ$-ray efficiencies and favor compact nuclear jets for the most efficient $γ$-ray-emitting LINERs.

astro-ph.HE↗

A cellular automaton model for thermal transport in low-dimensional systems

In this work, we formulate a theoretical model based on a cellular automaton (CA) to study thermal transport in low-dimensional nanostructures across ballistic, diffusive, and transition regimes. Unlike computationally intensive methods such as the Boltzmann Transport Equation (BTE), our model stands out for its geometrical robustness, allowing the seamless integration of substitutional impurities, vacancies, and irregular edges. We validated the model using graphene nanoribbons (AGNRs), successfully replicating the dependence of thermal conductivity on ribbon width and temperature. Results demonstrate that the model captures critical scattering and confinement effects with a linear scalability O(N). Given the increasing pressure to optimize computational resources and reduce the carbon footprint associated with AI infrastructure, this CA model emerges as a highly efficient tool for the parametric exploration and design of next-generation thermal devices.

cond-mat.mes-hall↗

Propagation of a binary signal along a chain of triangular graphane nanoclusters

In this paper, we study the dynamic properties of a linear array of graphane triangular molecules that transmit a binary signal. The electronic properties of nanoclusters are studied using calculations based on first principles, with hybrid potentials. The dynamic of the system is studied by solving the time-dependent Schrodinger equation. Our results show that a linear array of these nanostructures under clock operations, allow to transmit binary information, with a efficiency close to unity.

cond-mat.mes-hall↗