Thomas C. K. Ng

Inferring cosmology from gravitational waves (GW) using non-parametric detector-frame mass distribution

• Aug 2023 — Present

Publication: T. C. K. Ng, S. Rinaldi and O. A. Hannuksela, Inferring cosmology from gravitational waves using non-parametric detector-frame mass distribution, arXiv:2410.23541.

Supervisors: Dr. Stefano Rinaldi, Prof. Otto A. Hannuksela

• Developed an optimization-based framework for estimating cosmological parameters from GW populations, leveraging the non-parametric reconstruction toolkit FIGARO

Searching non-GR polarizations with null-stream analysis

• Aug 2023 — Present

Supervisors: Dr. Isaac C. F. Wong, Prof. Otto A. Hannuksela

• Developed a null-stream analysis pipeline to search for non-GR polarizations in GW data
• Performed data analysis on Observing Run 4a for the Ligo-Virgo-KAGRA collaboration
• Developing a method to utilize strongly-lensed GW events in null-stream analysis

Developing JAX-based GW inference toolkit Jim

• Jul 2024 — Present

Supervisor: Prof. Kaze W. K. Wong

• Developed a new prior system to make reparameterization easier as a main developer
• Mentoring two students in developing new features

Constraining spatial anisotropy of GW sources\\using angular power spectrum

• May 2024 — Present

Supervisor: Prof. Otto A. Hannuksela

• Proposed a research project to extend a recent study
• Mentoring two undergraduate students to perform the analysis

Constraining GW amplitude birefringence

• May 2022 — Oct 2023

Publication: T. C. K. Ng, M. Isi, K. W. K. Wong, and W. M. Farr, Constraining gravitational wave amplitude birefringence with GWTC-3, Phys. Rev. D 108, 084068 (2023).

Short Paper Summary

Supervisors: Dr. Maximiliano Isi, Prof. Kaze W. K. Wong, Prof. Will M. Farr

• Constrain the strength of amplitude birefringence by performing parameter estimations on events in GWTC-3 using Bilby

Study of self-interacting dark matter

• May 2021 — Jul 2021

Poster

Supervisor: Prof. Ming Chung Chu

• Study fermionic dark matter by comparing observational data with simulated density profile of dark matter-dominated halos
• Study the evolution of self-interacting dark matter halo by modifying existing simulation code in Julia

The Chinese University of Hong Kong

Master of Philosophy, Physics • Aug 2023 — Present

The Chinese University of Hong Kong

Bachelor of Science, Physics • Aug 2019 — Jul 2023

Minor: Computer Science

Reaching Out Award

HKSAR Government • 2024

CN Yang Scholarships (Research Experience)

The Chinese University of Hong Kong • 2022

Chung Chi College FLY Award

Chung Chi College • 2022

Reaching Out Award

HKSAR Government • 2022

Talent Development Scholarship

HKSAR Government • 2021

Physics Student Conference 2022

The Chinese University of Hong Kong • Oct 2022

Programming

Experienced in Python, C and Julia

Languages

Fluent in English, Cantonese and Mandarin Chinese

CUHK Astronomy Club

President • Feb 2020 — Jan 2021

• Gravitational Wave Astrophysics
• Cosmology
• Computational Physics
• Computer Science
• Astronomy
• General Relativity

• INSPIRE HEP
• ORCID
• ResearchGate