Is this project an undergraduate, graduate, or faculty project?
Undergraduate
Project Type
group
Campus
Daytona Beach
Authors' Class Standing
Skylar Butler, Senior
Lead Presenter's Name
Skylar Butler
Lead Presenter's College
DB College of Arts and Sciences
Faculty Mentor Name
Dr. Ashley Kehoe
Abstract
We investigate how orbital properties of interplanetary dust particles produce Doppler-shifted solar absorption lines using synthetic spectra generated from particle outputs of a numerical orbital evolution code. The code is based on the Ipatov dynamical model, written in Fortran and using the SWIFT integration package to track the evolution of dust particles originating from asteroid and comet populations. The program reads input files containing particle orbital elements and heliocentric positions, along with planetary parameters and integration settings, and computes the time evolution of particle trajectories under gravitational perturbations. The resulting particle states are then used to generate synthetic spectra by applying Doppler shifts to a reference solar Fraunhofer line based on the line-of-sight velocity of each particle relative to the observer. Using these particle outputs, we group particles by orbital elements and compute shifted spectra for blocks of similar semi-major axis, eccentricity, inclination, longitude of ascending node, argument of perihelion, and mean anomaly. The Doppler shift is calculated from the instantaneous velocity of each particle, and the solar spectrum is shifted in wavelength to simulate scattered zodiacal light. Comparisons between the shifted spectra and the unshifted solar reference can be used to determine the orbits and velocities of the dust particles in near-Earth and cislunar space. These results demonstrate how particle-based dynamical models can be used to generate synthetic zodiacal spectra, allowing observed Doppler-shifted solar lines to be compared with simulations to constrain the dynamical origin of the zodiacal dust cloud.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
No
Included in
Numerical Analysis and Scientific Computing Commons, Physical Processes Commons, The Sun and the Solar System Commons
Modeling Doppler-Shifted Solar Spectra from Simulated Asteroidal Dust Populations Using Orbital Evolution Codes
We investigate how orbital properties of interplanetary dust particles produce Doppler-shifted solar absorption lines using synthetic spectra generated from particle outputs of a numerical orbital evolution code. The code is based on the Ipatov dynamical model, written in Fortran and using the SWIFT integration package to track the evolution of dust particles originating from asteroid and comet populations. The program reads input files containing particle orbital elements and heliocentric positions, along with planetary parameters and integration settings, and computes the time evolution of particle trajectories under gravitational perturbations. The resulting particle states are then used to generate synthetic spectra by applying Doppler shifts to a reference solar Fraunhofer line based on the line-of-sight velocity of each particle relative to the observer. Using these particle outputs, we group particles by orbital elements and compute shifted spectra for blocks of similar semi-major axis, eccentricity, inclination, longitude of ascending node, argument of perihelion, and mean anomaly. The Doppler shift is calculated from the instantaneous velocity of each particle, and the solar spectrum is shifted in wavelength to simulate scattered zodiacal light. Comparisons between the shifted spectra and the unshifted solar reference can be used to determine the orbits and velocities of the dust particles in near-Earth and cislunar space. These results demonstrate how particle-based dynamical models can be used to generate synthetic zodiacal spectra, allowing observed Doppler-shifted solar lines to be compared with simulations to constrain the dynamical origin of the zodiacal dust cloud.