Me and collegues in U of Chicago are working on HD 149026b with data taken from JWST NIRCAM to characterize its atmosphere. I am heavily on the data reduction and analysis side, will try to do some modeling in my next project!

My first project in United States!
In order to learn how JWST pipeline works and get a whole picture of exoplanet atmosphere characterization, I performed data reduction and analysis on HAT-P-14 and confirmed my results with STScI.

A 1.5yr project on constructing a neutrino detector in South China Sea only open to honor-degree students with $12,000 research funding.

I was in charge of the design and operation of a digital system to monitor the position and direction of detectors undersea with Python script. Besides, I employed my knowledge about Lambert surface, which I learned in an introductory course to galaxy, to help the PhD students in group model photon path and used what I learned in optics to calculate the refractive index for our system. Due to the commitment in developing stage, I was selected as one of the three undergraduates among 72 collaboration members to go aboard the scientific ship! I also joined data analysis and visualization.

Me and postdoc in the group are working on the GJ1214b with data taken from JWST MIRI. I am helping with data visualization. Also, I am using dayside spectrum to map the atmosphere brightness temperature, with technique defined in Cowan & Agol (2008).

Citation
Stevenson et al. (2014) arXiv:1410.2241 [astro-ph]
Cowan & Agol (2008) https://iopscience.iop.org/article/10.1086/588553

In the second half of my second year, I was invited by a professor who lectured us Thermal and Statistical Physics to join a machine learning research program. The program needs certain background in chemistry, which I didn't learn any more since high school. But I managed to read through related papers and gave him a proposal talk within two weeks and became the team leader. I also learned how to write basic machine learning scripts in Python. We patented out results and submitted a paper. It turns out even it's not the field I am in, I can pick up things quickly and apply them. SJTU requires freshman students in physics to have the same math classes as math major students, through which I was trained to learn things I am not familiar with in a short period, and also laid us a solid foundation in mathematics.

I used Agatha 2.0, a framework of periodograms(Feng F. et al, 2017,my research supervisor in SJTU) to disentangle periodic signals from correlated noise, study the controversial planetary systems and search for periodic signals in other astronomical events. I also conducted optimization and refinement of Agatha for analyzing planetary periods, and studied the stability of Auto-Regressive-Moving-Average noise models for analyzing radial velocity data.

was about to preparing the paper but the whole-city lockdown due to COVID19 outbreak made it hard to continue. After which I left Shanghai and arrived at Uchicago.