group
What campus are you from?
Daytona Beach
Authors' Class Standing
Skylar Wardlaw, Senior Ainsley Helgerson, Graduate Student Maria Kaminska, Senior Jackson Stewart, Sophomore Logan Velvet, Sophomore Aaron Jung, Sophomore Georgii Dubrov, Sophomore Amelia Koth, Sophomore
Lead Presenter's Name
Skylar Wardlaw
Faculty Mentor Name
Jeremy Riousset
Abstract
The goal of project BoTTLE is to propose a new methodology to predict lightning strike locations by combining atmospheric particle(muon) detection, initiating mathematical simulations, and low-altitude tropospheric observations. This project builds on the cascading theory of galactic cosmic rays, where muons are produced; consequently, this approach explores how such particles provide the final ionization necessary to initiate lightning discharges. The team is currently assembling a muon detector at the Space and Atmospheric Instrumentation Lab. The detector will sense a muon by a scintillator, which is a material that produces light when exposed to radiation rays. The photoelectric signal observed will be amplified, tracked, and sent to a Rust-based simulation code that will provide possible starting locations of lightning strikes. Additionally, by incorporating open-source tropospheric data via NCAR Real-Time Weather Radar, correlations between atmospheric parameters and conductivity can be made. This methodology can be adapted to investigate other triggering mechanisms, as the mathematical core of the project (based on the principles of resistivity) applies to currents flowing through inhomogeneous gases.
Did this research project receive funding support from the Office of Undergraduate Research.
No
Bounded Transient Time Leader Emissions Tracking & Strike Prediction (BoTTLE)
The goal of project BoTTLE is to propose a new methodology to predict lightning strike locations by combining atmospheric particle(muon) detection, initiating mathematical simulations, and low-altitude tropospheric observations. This project builds on the cascading theory of galactic cosmic rays, where muons are produced; consequently, this approach explores how such particles provide the final ionization necessary to initiate lightning discharges. The team is currently assembling a muon detector at the Space and Atmospheric Instrumentation Lab. The detector will sense a muon by a scintillator, which is a material that produces light when exposed to radiation rays. The photoelectric signal observed will be amplified, tracked, and sent to a Rust-based simulation code that will provide possible starting locations of lightning strikes. Additionally, by incorporating open-source tropospheric data via NCAR Real-Time Weather Radar, correlations between atmospheric parameters and conductivity can be made. This methodology can be adapted to investigate other triggering mechanisms, as the mathematical core of the project (based on the principles of resistivity) applies to currents flowing through inhomogeneous gases.