I am a driven and open-minded individual with a strong passion for exploring various fields of physics. My experience spans accelerator physics and astronomy, with the successful completion of several projects. I am eager to join Caltech Aerospace Mentorship Program as it presents an exciting opportunity to develop practical skills in aerospace engineering and to explore this field in a nontraditional setting.
Worked in Accelerator Division, focusing on Linear Accelerator, beam source for the entire accelerator complex. My project aimed to enhance longitudinal beam stability and monitor output energy to minimize daily drifts and losses. For longitudinal stability, I analyzed the Beam Longitudinal Profile to ensure the bunch length and phase distribution aligned with predictions. For output energy monitoring, I utilized data from Beam Position Monitors and applied two methods for energy calculation. The resulting data enabled the creation of a best-fit curve from simulations, establishing a functional relationship between cavity phasing and output energy. This relationship is intended for implementation in the main control room to automate the phase adjustment process.
Gained hands-on experience in observational astronomy and data analysis using Python NumPy, Pandas and Matplotlib libraries. Alongside weekly lectures from leading scientists, we worked on three projects focused on detecting and measuring the mass of exoplanets, analyzing supermassive black holes, and working with simulations of galaxies.
Conducted study to determine the schedule and duration of communication sessions with a satellite, given its orbit parameters, the location of the ground station and the minimum available angle of the line of sight of the satellite. Used C++ to implement the solution and attach it to the larger program. Used this code to test the durations and schedules for different orbitals.
Jupyter Notebooks
Python with NumPy, Matplotlib, Pandas, SciPy
C
Anaconda
Fluent in English, Armenian and Russian