Recent Publications

Grids of stellar models with rotation VIII: Models from 1.7 to 500 M⊙ at metallicity Z = 10^-5

Sibony, Yves ; Shepherd, Kendall G. ; Yusof, Norhasliza ; Hirschi, Raphael ; Chambers, Caitlan ; Tsiatsiou, Sophie ; Nandal, Devesh ; Sciarini, Luca ; Moyano, Facundo D. ; Bétrisey, Jérôme ; Buldgen, Gaël ; Georgy, Cyril ; Ekström, Sylvia ; Eggenberger, Patrick ; Meynet, Georges, Astronomy and Astrophysics (accepted for publication). ADS link

Grids of stellar models with rotation VII: models from 0.8 to 300 M⊙ at supersolar metallicity (Z = 0.020)

Norhasliza Yusof, Raphael Hirschi, Patrick Eggenberger, Sylvia Ekström, Cyril Georgy, Yves Sibony, Paul A Crowther, Georges Meynet, Hasan Abu Kassim, Wan Aishah Wan Harun , André Maeder, Jose H Groh, Eoin Farrell, Laura Murphy, Monthly Notices of the Royal Astronomical Society, Volume 511, Issue 2, April 2022, Pages 2814–2828. ADS link

Dark energy stars in the context of black holes — The physical profiles,

Azman, Muhamad Ashraf; Yusof, Norhasliza; Kassim, Hasan Abu; Marcos, Juan Carlos Algaba,Modern Physics Letters A, Volume 39, Issue 11, id. 2450043-434 (2024) ADS link

Progress in nuclear astrophysics of east and southeast Asia

Azni Abdul Aziz,Nor Sofiah Ahmad, S Ahn, Wako Aoki, Muruthujaya Bhuyan, Ke-Jung Chen, Gang Guo, KI Hahn, Toshitaka Kajino, Hasan Abu Kassim, D Kim, Shigeru Kubono, Motohiko Kusakabe, A Li, Haining Li, ZH Li, WP Liu, ZW Liu, Tohru Motobayashi, Kuo-Chuan Pan, T-S Park, Jian-Rong Shi, Xiaodong Tang, W Wang, Liangjian Wen, Meng-Ru Wu, Hong-Liang Yan, Norhasliza Yusof, AAPPS Bulletin 31 (1), Dec 2021, 1-31ADS link

Final Year Project 2025/2026

Discovering Polluted White Dwarfs Using Gaia XP Spectra and Machine Learning

This undergraduate research project investigates metal-polluted white dwarfs—stellar remnants that have accreted planetary debris—using spectral data from Gaia Data Release 3. The project utilizes unsupervised machine learning (UMAP) to classify over 96,000 XP spectra and identify rare DZ-type white dwarfs. These findings help uncover the composition of exoplanetary material and showcase how machine learning can enhance stellar population studies.

Prerequisite: Students should have completed SIF3012 Computational Physics or possess equivalent experience in data analysis and scientific programming (preferably in Python).

Solar Neutrino Oscillations

This project explores the quantum phenomenon of neutrino oscillation, focusing on solar neutrinos produced in the core of the Sun. Students will derive key theoretical results—such as vacuum oscillation probabilities and the MSW effect in matter—and apply them to model the flavor evolution of neutrinos as they travel from the solar interior to Earth. By combining analytical derivations with numerical plotting, students will compare their predictions with real-world data from experiments like SNO, Super-Kamiokande, and Borexino. This project bridges quantum mechanics, particle physics, and astrophysics, and is ideal for students interested in theoretical modeling with real experimental relevance.

Prerequisite: Students should have completed SIF3011 Quantum Mechanics II and SIF3001 Nuclear Physics

If you want to explore more project in stellar astrophysics or nuclear astrophysics, please contact Dr Norhasliza Yusof at norhaslizay@um.edu.my.