You can find my publications on
Research Gate or
Google Scholar.
Gaussian process code for finding DLAs in SDSS DR16
[Github repo]
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).
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.
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].
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.
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.