Tootfinder

This https://arxiv.org/abs/2505.22737 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Nonlinear Diffusion and Decay of an Expanding Turbulent Blob
Turbulence, left unforced, decays and invades the surrounding quiescent fluid. Though ubiquitous, this simple phenomenon has proven hard to capture within a simple and general framework. Experiments in conventional turbulent flow chambers are inevitably complicated by proximity to boundaries and mean flow, obscuring the fundamental aspects of the relaxation to the quiescent fluid state. Here, we circumvent these issues by creating a spatially-localized blob of turbulent fluid using eight conver…

AI isn’t an existential threat to humanity, capitalism and corporations are.
You see, we created capitalism, a religion modeled on cancer, and the corporation, a new, artificial species; a parasite that co-opts human beings to do its bidding; an organism that’s psychopathic by design and grows by extracting from and exploiting us and our habitat.
And we now find ourselves ruled by this religion and driven to ruin by these parasites as they drain our humanity, destroy our habitat,…

This https://arxiv.org/abs/2505.21924 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Modified Transfer Matrix Method for the Extraction of Material Properties via Terahertz Time-Domain Spectroscopy
Terahertz Time-Domain Spectroscopy is a powerful technique for extracting the low-frequency optical properties of materials. However, the optical constants are difficult to determine directly from the experimental transfer function, such that various numerical approximations must be implemented to describe specific conditions. Here, we introduce a modified Transfer Matrix Method that uses a genetic algorithm for optimization to determine the refractive index of materials in the THz regime. We s…

This https://arxiv.org/abs/2501.08513 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Physically Interpretable Emulation of a Moist Convecting Atmosphere with a Recurrent Neural Network
Data-driven convective parameterization aims to accurately represent convective adjustments to large-scale forcings in a computationally economic manner. While previous studies have demonstrated success using various model architectures, challenges persist in developing physically interpretable models and assessing generalizability and confidence level. In this study, we develop a recurrent neural network to predict time series of temperature, moisture, and precipitation of a cumulus ensemble i…

This https://arxiv.org/abs/2411.05499 has been replaced.
initial toot: https://mastoxiv.page/@ar…

On nonlinear transitions, minimal seeds and exact solutions for the geodynamo
Nearly fifty years ago, Roberts (1978) postulated that Earth's magnetic field, which is generated by turbulent motions of liquid metal in its outer core, likely results from a subcritical (finite-amplitude) dynamo instability characterised by a dominant balance between Coriolis, pressure and Lorentz forces. Here we numerically explore subcritical convective dynamo action in a spherical shell, using techniques from optimal control and dynamical systems theory to uncover the nonlinear dynamics of…

This https://arxiv.org/abs/2505.21878 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Machine learning assisted speckle and OAM spectrum analysis for enhanced turbulence characterisation
Atmospheric turbulence presents a major obstacle to the performance of free-space optical (FSO) communication and environmental sensing. While most studies focused on robust detection and recognition of transmitted structured light in turbulent media, a critical, yet often underexplored, avenue involves leveraging the structure of light itself to detect and characterize the medium itself. Here we introduce a deep learning framework that synergistically leverages post-transmission intensity spec…

This https://arxiv.org/abs/2505.19452 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Nonsymmorphic symmetry adapted finite element modeling of glide-symmetric photonic structures
Space group theory is pivotal in the design of nanophotonics devices, enabling the characterization of periodic optical structures such as photonic crystals. The aim of this study is to extend the application of nonsymmorphic space groups in the field of numerical analysis for research and design of nanophotonics devices. In this work, we introduce the nonsymmorphic symmetry adapted finite element method, and provide a systematic approach for efficient band structure analysis of photonic struct…

This https://arxiv.org/abs/2503.19627 has been replaced.
initial toot: https://mastoxiv.page/@ar…

femtoPro: Real-time linear and nonlinear optics simulations
Real-time optics and spectroscopy simulations ideally provide results at update rates of 120 Hz or more without any noticeable delay between changing input parameters and the calculated results. Such calculations require models of sufficient speed yet adequate level of detail in the physical approximations to contain the essential features of the simulated phenomena. We discuss a representation of femtosecond laser pulses in which fast phase oscillations due to carrier frequency and due to spat…

This https://arxiv.org/abs/2412.10052 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Non-resonant Optical Injection Locking in Quantum Cascade Laser Frequency Combs
Optical injection locking of the repetition frequency of a quantum cascade laser frequency comb is demonstrated using an intensity modulated near-infrared light at 1.55 $μ$m illuminating the front facet of the laser. Compared to the traditional electrical modulation approach, the introduced technique presents benefits from several perspectives such as the availability of mature and high bandwidth equipment in the near-infrared, circumvent the need of dedicated electronic components for the qua…

This https://arxiv.org/abs/2411.17443 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Electro-optically tunable Brillouin microlasers on lithium niobate platform
Miniature, monolithic, tunable sources of coherent radiation with narrow linewidths and low noise are highly sought after for photonic integration. Brillouin lasers, known for their intrinsically narrow linewidths, present an appealing solution. However, achieving the strong optomechanical coupling necessary for lasing in optical microresonators remains challenging due to the difficulty of simultaneously confining optical and acoustic modes with substantial modal overlap. Additionally, most Bri…