Home Publications CV GitHub BirdGroup R'Profile Others

Ming-Feng Ho

LCTP Fellow for Astrophysics/Cosmology

Publications

Investigating the mixing between two black hole populations in LIGO-Virgo-KAGRA GWTC-3 [arXiv:2408.09024 [astro-ph.GA]]
Ming-Feng Ho, Scott E. Perkins, Simeon Bird, William A. Dawson, Nathan Golovich, Jessica R. Lu, and Peter McGill , accepted to PRD.

Astrometric Microlensing by Primordial Black Holes with The Roman Space Telescope [arXiv:2312.13249 [astro-ph.GA]]
James Fardeen, Peter McGill, Scott E. Perkins, William A. Dawson, Natasha S. Abrams, Jessica R. Lu, Ming-Feng Ho, Simeon Bird , accepted to ApJ.

Forecast Cosmological Constraints with the 1D Wavelet Scattering Transform and the Lyman-α forest [arXiv:2310.06010 [astro-ph.CO]]
Hurum Tohfa, Simeon Bird, Ming-Feng Ho, Mahdi (Sum) Quezlou, Martin A. Ferandez , accepted to PRL.

Cosmological Constraints from the eBOSS Lyman-α Forest using the PRIYA Simulations [arXiv:2309.03943 [astro-ph.CO]]
Martin A. Fernandez, Simeon Bird, Ming-Feng Ho , accepted to JCAP.

Disentangling the Black Hole Mass Spectrum with Photometric Microlensing Surveys [arXiv:2310.03943 [astro-ph.CO]]
Scott E. Perkins, Peter McGill, Willian Dawson, Natasha Abrams, Casey Y. Lam, Ming-Feng Ho, Jessica Lu, Simeon Bird, Kerianne Pruett, Nathan Golovich, George Chapline, and James Barbieri , accepted to ApJ.

PRIYA: A New Suite of Lyman-alpha Forest Simulations for Cosmology [arXiv:2306.05471 [astro-ph.GA]]
Simeon Bird, Martin A. Fernandez, Ming-Feng Ho, Mahdi Qezlou, Reza Monadi, Yueying Ni, Nianyi Chen, Rupert Croft, Tiziana Di Matteo , accepted to JCAP.

MF-Box: Multi-fidelity and multi-scale emulation for the matter power spectrum [arXiv:2306.03144 [astro-ph.CO]]
Ming-Feng Ho, Simeon Bird, Martin A. Fernandez, Christian R. Shelton , accepted to MNRAS.

Machine Learning Uncovers the Universe's Hidden Gems: A Comprehensive Catalogue of CIV Absorption Lines in SDSS DR12 [arXiv:2305.00023 [astro-ph.GA]]
Reza Monadi, Ming-Feng Ho, Kathy L. Cooksey, Simeon Bird , accepted to MNRAS.

A Multi-Fidelity Emulator for the Lyman-α Forest Flux Power Spectrum [arXiv:2207.06445 [astro-ph.CO]]
M.A. Fernandez, Ming-Feng Ho, Simeon Bird , accepted to MNRAS (Dec. 2022).

Multi-fidelity Emulation for the Matter Power Spectrum using Gaussian Processes [arXiv:2105.01081 [astro-ph.CO]]
Ming-Feng Ho, Simeon Bird, Christian R. Shelton , accepted to MNRAS (Jan. 2022).

Damped Lyman-alpha Absorbers from Sloan Digital Sky Survey DR16Q with Gaussian processes [ads] [arXiv: 2103.10964 [astro-ph.GA]]
Ming-Feng Ho, Simeon Bird, Roman Garnett , accepted to MNRAS (Jul. 2021).

Automated Measurement of Quasar Redshift with a Gaussian Process [ads] [arXiv:2006.07343 [astro-ph.GA]]
Leah Fauber, Ming-Feng Ho, Simeon Bird, Christian R. Shelton, Roman Garnett, Ishita Korde , accepted to MNRAS (Sept. 2020)

Detecting Multiple DLAs per Spectrum in SDSS DR12 with Gaussian Processes [ads] [arXiv:2003.11036 [astro-ph.CO]]
Ming-Feng Ho, Simeon Bird, Roman Garnett , accepted to MNRAS (Jun. 2020)

AMiBA: Cluster Sunyaev-Zel'dovich Effect Observations with the Expanded 13-Element Array [ads] [arXiv:1605.09261 [astro-ph.CO]]
K.-Y. Lin (M.-F. Ho in co-authorship) , APJ, 2016.

Codes

I put all of my codes on my github. Here I pull out some codes might be useful for others.

Gaussian process code for finding DLAs in SDSS DR16 [Github repo]
This is an improved version of the Ho2020 code. Paper can be found here [arXiv: 2103.10964 [astro-ph.GA]].
Gaussian process code for detecting multi-DLAs [Github repo]
This is a modified version of the GP-DLA code from Garnett (2017) [arXiv:1605.04460 [astro-ph.CO]]. It includes sub-DLAs as an alternative model and allows the GP mean model changed according to the effective optical depth from the intergalactic medium. It generates a DLA catalogue with maximum DLA per sightline equal to four.
Gaussian process code for detecting DLAs, in Python! [Github repo]
This is the Python version of our GP-DLA code, which I rewrote it based on our Ho-Bird-Garnett 2020 paper. It also offers features for: (1) Quasar redshift estimation; (2) MCMC implementation on searching the DLA parameters (now in mcmc branch, comments are welcome).
Automated quasar redshift estimation [Github repo]
This code is an extension of Garnett (2017) and Ho (2020). Instead of finding DLAs, this code can build a posterior density of a given quasar spectroscopic observation and infer the quasar redshift.
QSOLoader for manipulating DLA catalogue [Github repo]
A python class to manipulate the DLA catalogue generated by multi-DLA GP code [Github repo]. It also provides some simple loading function to plot results of other catalogues, e.g., the CNN catalogue from Parks (2018) [Parks' repo].
One-dimensional CNN on Healpix grids [Github repo]
A simple code to implement a CNN on spherical images using the trick of hierarchical structure of Healpix. I did it for fun but could be useful for other people.
Digital humanity: Han-ji fetcher [Github repo]
The code I wrote when I was working with Zeb Raft. The code was written to reflect a concept of converting a historical book into a digital version, and we chose to manipulate this digital version with a Python class.

“To the Bayesian all things are Bayesian.”

- Good Thinking: The Foundations of Probability and Its Applications.