PEOPLE
CHONG Hang Yan
CHONG Hang Yan / PHY-MPhil (2024)
Supervised by Daniel H. C. ONG
Education
- B.Sc in Physics, The Chinese University of Hong Kong (2020-2024)
- MPhil in Physics, The Chinese University of Hong Kong (2024-present)
Research Interest
- Topological Insulators
- Non-linear Optics
- Thin Film Science
Research and Professional Experience
- Fourier Transform Infrared Spectroscopy (2021-2023)
- Simple and fast setup to map out area with or without organic coating
- Institution: The Chinese University of Hong Kong
- Supervisor: Professor Daniel H. C. ONG
- Search for lensed gravitational waves from compact binary coalescence data in LIGO (2022-2024)
- Look for possible lensed subthreshold counterparts in the LIGO data
- Institution: The California Institute of Technology, The Chinese University of Hong Kong
- Supervisors: Professor Alan J. Weinstein, Professor Otto A. Hannuksela, Dr. Alvin K.Y. Li
Awards and Honors
- LIGO Lab’s student Research Fellowship, Caltech (2023) – Awarded to me for staying in Caltech during the summer for developing the TESLA pipeline
- LIGO Summer Undergraduate Research Fellowship (SURF), Caltech (2023) – Awarded to me for a 10 weeks gravitational-wave astrophysics research in Caltech
- UC Alumni Research Excellence Scholarship, CUHK (2022) – Awarded for my excellent research performance during LIGO SURF
- C N Yang Scholarship (Research Experience), CUHK (2022) – Awarded to support my overseas research programme (LIGO SURF)
- Dr. P N Chu Prize, CUHK (2022) – Awarded for my outstanding academic results in 2021-2022
- Summer Undergraduate Research Internship Programme (SURIP), CUHK (2021) – Awarded to support my 10 weeks undergraduate research in CUHK
Publications
- Li, A. K. Y., Chan, J. C. L., Fong, H., Chong, A. H. Y., Weinstein, A. J., & Ezquiaga, J. M. (2023, November 10). TESLA-X: An effective method to search for sub-threshold lensed gravitational waves with a targeted population model. arXiv.org. https://arxiv.org/abs/2311.06416
Other Skills
- Language Skills
– Fluent Cantonese (Native)
– Fluent English
– Moderate Mandarin - Programming Skills
– LabVIEW control
Python
– Shell script
– HTCondor (cluster programming)
– LaTeX
– C language