arXiv subjects

Cade Sbrocco

Publications and source records attributed to Cade Sbrocco.

4 recordsLinked to original sources

arXiv2026

A bent straw as a tool for an affordable student-safe experiment in vortex ring dynamics

Vortex dynamics are an important topic in fluid dynamics, explaining phenomena like drag and lift generation, jet propulsion, and corner flows. It is also often excluded from introductory or undergraduate fluid dynamics courses on account of its complexity and the inaccessibility of practical and engaging experiments. We present an affordable student-safe experiment to generate vortex rings and study their dynamics using a bent straw and dyed water that allows students to control key parameters, can be imaged using a smartphone camera, and explains the complex physics with simple and easily measured parameters. Vortex rings are produced that parallel seminal experiments, demonstrating secondary structures and the mirroring effect. Meanwhile, nonplanar and triangular jet exits are used to demonstrate asymmetric vortex rings and vortex ring inversion.

physics.flu-dyn↗

arXiv2026

Scattering of Capillary Waves By a Cylindrical Meniscus

The propagation of water waves is altered when interacting with curved surfaces. Here, we consider the problem of capillary waves interacting with a 3D cylindrical meniscus. We show that when capillary waves scatter off an object surrounded by a meniscus, the resulting wavefield can be drastically altered by refraction to increase wave presence in the otherwise shadowed region behind a cylinder. This indicates that a meniscus acts as an effective coating around an object, slowing down the wave's propagation speed in its region of influence. Our results are not only an important step in surface tension dominated wave interactions, but may have implications in the biological communication of surface dwelling animals.

physics.flu-dyn↗

arXiv2021

Evolving Antennas for Ultra-High Energy Neutrino Detection

Evolutionary algorithms are a type of artificial intelligence that utilize principles of evolution to efficiently determine solutions to defined problems. These algorithms are particularly powerful at finding solutions that are too complex to solve with traditional techniques and at improving solutions found with simplified methods. The GENETIS collaboration is developing genetic algorithms to design antennas that are more sensitive to ultra high energy neutrino induced radio pulses than current detectors. Improving antenna sensitivity is critical because UHE neutrinos are rare and require massive detector volumes with stations dispersed over hundreds of km squared. The GENETIS algorithm evolves antenna designs using simulated neutrino sensitivity as a measure of fitness by integrating with XFdtd, a finite difference time domain modeling program, and with simulations of neutrino experiments. The best antennas will then be deployed in ice for initial testing. The genetic algorithm's aim is to create antennas that improve on the designs used in the existing ARA experiment by more than a factor of 2 in neutrino sensitivities. This research could improve antenna sensitivities in future experiments and thus accelerate the discovery of UHE neutrinos. This is the first time that antennas have been designed using genetic algorithms with a fitness score based on a physics outcome, which will motivate the continued use of genetic algorithm designed instrumentation in astrophysics and beyond. This proceeding will report on advancements to the algorithm, steps taken to improve the genetic algorithm performance, the latest results from our evolutions, and the manufacturing road map.

astro-ph.IM↗

arXiv2020

Evolving Antennas for Ultra-High Energy Neutrino Detection

Evolutionary algorithms borrow from biology the concepts of mutation and selection in order to evolve optimized solutions to known problems. The GENETIS collaboration is developing genetic algorithms for designing antennas that are more sensitive to ultra-high energy neutrino induced radio pulses than current designs. There are three aspects of this investigation. The first is to evolve simple wire antennas to test the concept and different algorithms. Second, optimized antenna response patterns are evolved for a given array geometry. Finally, antennas themselves are evolved using neutrino sensitivity as a measure of fitness. This is achieved by integrating the XFdtd finite-difference time-domain modeling program with simulations of neutrino experiments.

astro-ph.IM↗