Page 39 - Undergraduate Research Opportunities Program Proceedings 2017-18

School of Science
Department of Physics

Building an Apparatus Cooling and Trapping Erbrium Quantum Gas

Supervisor: JO Gyu Boong / PHYS
Student: TSO Yee Ming / PHYS-IRE Course: UROP2100, Fall

In this paper we presented a customized and effective design for cooling erbium atoms, which consist of a control
system, main machine and a laser system. Development for the setup of each component and the current progress of
the implementation of design is presented as well. We also report the spectroscopy result on Erbium atoms, which
provides the evidence of our laser interacting with Erbium gas. Furthermore, we will present the possible future
research topics on dipolar Erbium quantum gases.

Organic Molecular Beam Deposition in Ultra-high Vacuum
Supervisor: LIN Nian / PHYS
Student: LEUNG Ho Yin / CIVL Course: UROP1100, Spring

The main purpose of this experiment is to study surface property of graphite at ultra high vacuum. Two techniques are
used. Low energy electron diffraction (LEED) is used to investigate the atomic structure of graphite by the pattern of
electron diffracted out from a graphite sample. Auger electron spectroscopy (AES) is used to investigate the chemical
composition of graphite sample by the auger electron emitted out from the sample when collided with high energy
electron. We also learn the properties of ultrahigh vacuum and the methods to obtain ultra-high vacuum.

Atomistic Simulations of Dynamic Properties of Water
Supervisor: PAN Ding / PHYS
Student: CHENG Man Hin / PHYS-IRE Course: UROP1100, Fall

The Shear viscosity of water is an important property that affect the use of it. Under extreme condition such as
temperature higher than the critical temperature and pressure higher than the critical pressure, it is difficult to measure
it experimentally. This project focus on finding an efficient method to predict the shear viscosity using computational
simulation. Two different method, Green-Kubo relation and Einstein relation is presented in this context and compare
the efficiency and accuracy.

Random Walk on Complex Network and Application to Numerical Simulation for Statistical Physics

Supervisor: SZETO Kwok Yip / PHYS
Student: CHEN Huijin / PHYS Course: UROP1000, Summer

As my UROP project titled “Random Walk on Complex Network and Application to Numerical Simulation for Statistical
Physics”, my first task is to self learning linear algebra and being able to find the eigenvalue and eigenvector, at the same
time, diagonalise a 3 by 3 matrix. Since python is very important and much more convenient in terms of coding for
complex networks, another task is learning python programming language and writing the codes to diagonalise the
matrices. In the past one and a half months, I spent most of my time on reading the textbook of linear algebra and
during the process, I not only learnt basic ideas of matrix computation and diagonalization, but also some interesting
properties of simple networks and some knowledge about Markov process, which is the foundation of Markov chain in
information engine. In the report, I will illustrate some mathematical concepts that I have learnt relating to the
eigenvalue and eigenvector, and also some presentation of simple networks and Markov process.

29