Taylor C. Nunes
I am a data-driven engineer who creates technical solutions to real world problems through software. I assess the fundamental principles behind problems to develop modular, scalable, and robust solutions through experimentation and iteration.
Education
- Osaka University, M.S. Physics, 2019 - 2021
- North Carolina State University, B.S. Mechanical Engineering, 2014 - 2018
Projects
Language Classification
Japanese and English classification based on letter frequency
Generative Art
A javascript program that generates art on a pixel by pixel basis using a random walk algorithm.
Research
Discovering new phyics using the principles of science and engineering
I spent 2 years working in the Yamanaka Lab at Osaka University working on the KOTO experiment. Here we use a high intensity proton beam to generate neutral Kaon and measure their decay. Since these kaons only exist for around half a nanosecond and we are trying to measure a decay that only exists one in 33 billionth of the time, it's necessary to have a fast, accurate, and robust measurement system.
Charged Particle Detector Development
The high enery proton beam produces not only neutral kaons, but also a variety of other particles whose signature can mimic kaons, necessitating accurate detection of incoming particles. I led the development of one such detector that was used for incoming charged particles. I was in charge of researching and testing the materials, creating a mechanical and electronic design, running small scale tests for feasability, directing a full scale development, writing backend data acquisition and frontend monitor software, testing, installation, and performance analysis and optimization. This consisted of lots of development in Python and C++ using the ROOT framework as well as work with data pipelines and storage in a linux environment. It also consisted of being a strong leader and collaborating in a team with many intelligent reasearchers. If you are interested please read my thesis.
Additional reasearch
In addition, I conducted research in developing algorithms to improve data analysis. I developed algorithms for event by event noise classification. I processed digital waveforms for separation of overlapping peaks.
Conferences
In addition to weekly presentations and giving colloquiums on different papers, I participated in the following conferences:
T. C. Nunes, "Analysis of Waveforms in the KOTO Experiment at J-PARC", presented at The Physical Society of Japan 2020 Autumn Meeting.
T. C. Nunes, "Design and Performance Evaluation of a Low-Mass In-Beam Charged Particle Detector for the KOTO Experiment at J-PARC", presented at The Physical Society of Japan 2021 Annual Meeting.