To Kill a Mockingbird by Harper Lee (2nd time, Finished)
Niels Bohr's Times, in Physics, Philosophy, and Polity by Abraham Pais (Ongoing)
Inward Bound by Abraham Pais (Expect: summer 2026)
The Emotional Brain by Joseph Ledoux (Expect: summer 2026)
The Science and the Life of Albert Einstein by Abraham Pais (Expect: fall 2026)
Thinking, Fast and Slow by Daniel Kahneman (Expect: winter 2026)
The Experimental Foundations of Particle Physics by Robert N. Cahn and Gerson Goldhaber (Expect: 2027)
XXX by XXX (XXX)
Trainings
RooFit tutorials (Suspended)
General introduction to Cosmic Rays (Ch30 of PDG) (Suspended)
Past Activities
[Jun 2020]   I graduated (B.S.) from USTC (University of Science and Technology of China).
Next, I will go to Indiana Univesity Bloomington for PhD program in physics.
[Aug 2021]   I passed the qualifying exam of Department of Physics, and my M.S. degree was approved.
[May 2022]   I will go to CERN (European Laboratory for Particle Physics) for 4 months (Jun 2023 - Oct 2023).
Get involved in the CRP (Charge Readout Plane) assembly and coldbox test for protoDUNE.
[Jun 2022]   I followed Phython Crash Course (Chinese version) by Eric Matthes.
Basic understanding and skills of python are established.
[Sep 2022]   I finished reading Statistics for particle and nuclear physicists
by Louis Lyons. A wonderful book introducing fundamental analysis skills.
[Dec 2022]   I completed my candidacy seminar and formally became a Ph.D. candidate!
[Feb 2023]   I started training the computational graph (Deep Neural Network) for
protoDUNE-VD PDS (Photon Detection System).
[Apr 2023]   I finshed a small block (link)
during the Mechanical Workshop in Department of Physics.
Basic metal processing (hardware related) skills are acquired. Many thanks to our department technician, Gary!
[May 9, 2023]   I finished reading Neural Network and Deep Learning by Michael Nielsen,
as well as one GitHub tutorial for TensorFlow (link).
Basic understanding of Neural Network has been established.
[Jul 18, 2023]   I finished reading The Feynman Lectures on Physics (Volume I) by Richard P. Feynman,
mainly about classical mechanics.
[Aug 1, 2023]   I will take part in the 14th International Neutrino Summer School,
hosted at Fermilab. Also, my poster
(The complete illustration of computational graph for protoDUNE-VD PDS, including training details, analyses and application) will be presented.
[Aug 21, 2023]   I will work as an AI (Assistant Instructor) for class General Physics I (PHYS P201) for fall semster of 2023.
[Dec 8, 2023]   I will do the final
presentation for the Solid State Physics course.
The title is Introduction to Silicon Photomultiplier. Good survey of SiPM is made!
[Jan 23, 2024]   I will do the presentation
during the DUNE 2024 Jan Collaboration Meeting.
The title is Rayleigh Scattering Length Measurement Based on Comp Graph Module in ProtoDUNE-VD.
Evualtion of newly trained network for protoDUNE_VD v4 geometry will be shown, as well as the preliminary results of RSL measurements!
[Mar 2, 2024]   I participated the online Analysis Pipelines workshop.
Basic understanding and applications of Podman, Apptainer/Singularity, Github CI/CD and GitLab CI/CD established.
[Mar 20, 2024]   It is my honor to give an invited talk at the Minisymposium of the future
DPF-PHENO 2024 on behalf of DUNE.
[May 19, 2024]   I made a presentation during the DPF-PHENO 2024 meeting. The title is
Neural Network Based Fast Optical Simulation Method in ProtoDUNE-VD.
Detailed illustration of network module and evaluations were shown, which can be seen as the finish of this work.
[Jul 9, 2024]   I successfully trained the computable graph module for fast optical simulation in protoDUNE-HD.
It will be pulled to DUNE github and become collaboration-wide available soon.
[Jul 11, 2024]   I will go to CERN in August and return until May 2025 (9 months).
During my stay there, I will get involved in the operations of protoDUNE-HD and protoDUNE-VD.
[Aug 17, 2024]   I finally reviewed all slides of INSS 2023. Clear and detailed notes were made.
Understanding of whole field is initially established.
[Sep 16, 2024]   I made a presentation
during DUNE Sep 2024 CM.
The updates of Rayleigh scattering length measurement based on protoDUNE-VD were shown. Different absorption lengths were considered.
[Oct 2, 2024]   I finished reading The Feynman Lectures on Physics (Volume II).
Great and detailed explanations of classical electromagnetism as well as introduction to fluid physics.
[Oct 14, 2024]   I made a presentation
on ProtoDUNE PDS Sim/Reco working group. The topic is Michel electron optical signal based on ProtoDUNE-HD,
which can be regarded as the end of feasibility exploration of thesis research.
For my thesis, I plan to focus on Michel electron from cosmic muons. Firstly observe Michel electron signal in PDS,
then reconstruct the energy of Michel electron with PDS & TPC joint information, hopefully to improve the energy accuracy.
[Jan 30, 2025]   I made two presentations during the DUNE Jan 2025 CM:
The first is titled as
Computable Graph Module for Full-size FDHD, illustrating the preliminary training of fast optical simulation module for FD1.
The second is
Michel Eletron Selection on protoDUNE-HD, containing the photon yield estimation of Michel electron,
particle gun simulation, selection on PDHD MC production, as well as Michel finding on PDHD real data.
[Feb 7, 2025]   I participated in the
DUNE LArTPC Software & Analysis Workshop
(LArSAW2025) (3 - 7 Feb 2025 @ CERN). Nice lectures! Better understanding and mastering of LArTPC (PDS & TPC) achieved!
[Feb 26, 2025]   I participated in the NP04 PDS Performance Article Workshop
(24 - 26 Feb 2025 @ Valencia, Spain). Contributed to the "physics applications" session with my Michel electron result.
Further analysis is required and sincerely hope the paper will come into shape soon!
[Apr 3, 2025]   It is my honor to receive the URA Visiting Scholars award for the spring round!
The title of my proposal is "DUNE Far Detector Scintillation Photon Response Studies Based on Data from the ProtoDUNE Detectors".
So many thanks to my advisor Jon, Fermilab scientist Linyan, as well as our IU staff Laura!
[Apr 5, 2025]   I will go to Fermilab (Fermi National Accelerator Laboratory) this May and
return until the beginning of Dec 2025 (6 months).
During my stay there, I will work with Wilson Fellow Linyan on my Michel electron studies based on ProtoDUNE-HD.
[May 15, 2025]   I finished reading The Feynman Lectures on Physics (Volume III) by Richard P. Feynman, mainly about quantum mechanics.
It is a great journey to go through all 3 volumes in the past several years!
[May 22, 2025]   I attended DUNE CM of May 2025 @ Fermilab.
A presentation
titled Computable Graph Module for Full-size FD1
was presented. Fast optical module for full 6000 channels was firstly made! It put the finishing touch on this work.
[May 23, 2025]   It is my honor to give the
plenary talk at DUNE CM of May 2025.
The title of my talk is Michel Electron Studies Using PDS in protoDUNE-HD.
Preliminary result of Michel electrons in PDS of ProtoDUNE-HD was firstly exhibited.
[Jul 15, 2025]   I participated in the 2025 New Perspectives conference hosted by Fermilab,
during which I presented my updated result of Michel electron study
(slides link).
[Jul 24, 2025]   I gave a one-hour seminar talk
at the IU neutrino summer school. The title is Scintillators in Particle Physics Experiments.
The properties and applications of scintillators used in particle physics experiments are well explored.
[Sep 11, 2025]   I made a
presentation during DUNE Sep CM.
The title is Michel e Studies on ProtoDUNE-HD.
This is the update of my Michel electron studies. It mainly focuses on the simulation side.
[Dec 9, 2025]   It is my pleasure to receive the Grant-in-Aid of Travel Award ($500).
Thanks for the support from our physics department!
[Dec 11, 2025]   It is my honor to give a
seminar
at the department of physics in Duke university.
The title is Michel Electron Studies in the DUNE Far Detector Prototype Detectors.
I talked about the latest result of my optical Michel electron signal processing both in Monte Carlo and data.
Slides can be found here.