Hi there, I am Ming-Feng (Jibancat) 👋
- 🔭 Check out my personal website: jibancat.github.io!
- 🌱 I’m currently learning tensorflow probability, Blender, wagashi making, and Japanese!
- 🧋 My past works include machine learning pipeline for finding DLAs (gp_dla_detectoin), multi-fidelity emulator for cosmological simulations (matter_multi_fidelity_emu), and an automated tool for quasar redshift estimation (gp_qso_redshift).
- 👯 I’m currently interested in subgrid model calibration for galaxy formation simulations using machine learning, Lyman-alpha tomography, Bayesian population inference, time-domain astronomy.
- 🥅 2023 Goals: Learn more about self-supervised learning and find a job.
- ⚡ Fun fact: I love to play Don't Starve Together (DST) and cello. And before pursuing my astronomy PhD, I loved writing literature and (briefly) worked in the fascinating field of digital humanities!
- PRIYA: A new suite of Lyman-alpha forest simulations for cosmology (arXiv:2306.05471) and the companion paper using PRIYA for inference, Cosmological Constraints from the eBOSS Lyman-α Forest using the PRIYA Simulations (arXiv:2309.03943)
YouTube link to the full-resoultion video!
YouTube link to the full-resoultion video!
- MF-Box: Multi-fidelity and multi-scale emulation for the matter power spectrum jibanCat/matter_emu_mfbox (arXiv:2306.03144)
- Damped Lyman-alpha Absorbers from Sloan Digital Sky Survey DR16Q with Gaussian processes (arXiv:2103.10964)
