Department of Applied Mathematics and Theoretical Physics (DAMTP)
University of Cambridge
CMS, Wilberforce Rd, Cambridge, CB3 0WA
dh689[at]cam.ac.uk
I am a postdoctoral researcher at University of Cambridge with interest in both cosmology and extragalactic astrophysics. One of my current research focus is analyzing the current and upcoming the cosmic microwave background (CMB) data. I worked on many aspects of CMB data analysis, from generating simulations to investigating systematics bias. Recently, I have also been interested in applying Machine Learning in Cosmology and Astrophysics.
news
Dec 1, 2021
a beginning of new blog
selected publications
PRD
Deep learning simulations of the microwave sky
Han, Dongwon,
Sehgal, Neelima,
and Villaescusa-Navarro, Francisco
A promising way to measure the distribution of matter on small scales (k  10
hMpc^-1) is to use gravitational lensing of the Cosmic Microwave Background
(CMB). CMB-HD, a proposed high-resolution, low-noise millimeter survey over
half the sky, can measure the CMB lensing auto spectrum on such small scales
enabling measurements that can distinguish between a cold dark matter (CDM)
model and alternative models designed to solve problems with CDM on small
scales. However, extragalactic foregrounds can bias the CMB lensing auto
spectrum if left untreated. We present a foreground mitigation strategy that
provides a path to reduce the bias from two of the most dominant foregrounds,
the thermal Sunyaev-Zel’dovich effect (tSZ) and the Cosmic Infrared Background
(CIB). Given the level of realism included in our analysis, we find that the
tSZ alone and the CIB alone bias the lensing auto spectrum by 0.6 sigma and 1.1
sigma respectively, in the lensing multipole range of L in [5000,20000] for a
CMB-HD survey; combined these foregrounds yield a bias of only 1.3 sigma.
Including these foregrounds, we also find that a CMB-HD survey can distinguish
between a CDM model and a 10^-22 eV FDM model at the 5 sigma level. These
results provide an important step in demonstrating that foreground
contamination can be sufficiently reduced to enable a robust measurement of the
small-scale matter power spectrum with CMB-HD.
JCAP
The Atacama Cosmology Telescope: delensed power spectra and parameters