[Physics-grads-open] Physics & Astronomy Student Seminar (PASS), October 14 (Fri) at 4 pm: Virtual

[Ming-Feng Ho]

A reminder: PASS in 2 minutes!

Ming-Feng

On Fri, Oct 14, 2022 at 5:45 PM Ming-Feng Ho <mho026 at ucr.edu> wrote:

> A reminder: PASS in 15 minutes!
>
> Ming-Feng
>
>
> On Fri, Oct 14, 2022 at 2:30 PM Ming-Feng Ho <mingfeng.ho at email.ucr.edu>
> wrote:
>
>> Hi all,
>>
>> A reminder we will do a virtual talk *today at 4 pm PST (*
>> https://ucr.zoom.us/j/94967485304?pwd=WFczZnpVcWpkR3ZVZVBETmdTNFI0UT09*)*
>> .
>>
>> Today I will give an update on my recent work on applying machine
>> learning to train on cosmological simulations from different box sizes and
>> different resolutions.
>>
>> We have also invited the following presenters for this Fall:
>> 10/21: TBA
>> 10/28: *Reza Monadi* (UCR, Astrophysics, PI: Simeon Bird)
>> 11/4:   *Wei-Cheng Liao* (UCR, Condensed Matter Experiment, PI: Jing Shi)
>> 11/11:* Robert Dawson* (UCR, Condensed Matter Theory, PI: Aji Vivek)
>> 11/18: *Wenjun Chang* (UCR, Astrophysics, PI: Gillian Wilson)
>> 11/25: Holiday
>> 12/2 and 12/9: TBA
>>
>> More information will come soon, stay tuned!
>> Ming-Feng
>>
>>
>>
>>
>>
>> On Wed, Oct 12, 2022 at 11:21 AM Ming-Feng Ho <mingfeng.ho at email.ucr.edu>
>> wrote:
>>
>>> Hi Physics and Astronomy Grads!
>>>
>>> I am happy to announce we will resume the *P*hysics & *A*stronomy *S*tudent
>>> *S*eminar (PASS) *this Friday (Oct 14)*.
>>>
>>> PASS is a student-run and -oriented seminar, providing graduate students
>>> a safe place to practice their job talks and qualify exams. PASS is also a
>>> safe place to practice asking questions and being asked questions.
>>>
>>> We have been running PASS since 2022 Spring, and have already helped
>>> several students on practicing their job talks. The past program could be
>>> found here
>>> <https://jibancat.github.io/ucr-student-seminars/program/index.html>.
>>>
>>> This quarter, I am happy to be the first presenter:
>>>
>>>
>>> *Title: MF-Box: Multi-fidelity emulation for simulations from different
>>> box sizes using a graphical Gaussian process*
>>>
>>>
>>> *Ming-Feng Ho (University of California, Riverside)*
>>>
>>> *Abstract: *Bayesian inference is necessary for any scientific
>>> discipline, especially for explaining cosmological and astrophysical
>>> observations. However, Bayesian inference also introduces the computational
>>> burden of >10^6 likelihood evaluations on the theoretical model. Emulation
>>> is the current only way to perform Bayesian inference using accurate
>>> numerical simulations. By approximating the input/output relationship of
>>> numerical simulations using a machine learning model, emulators work as
>>> cheap surrogates, allowing fast likelihood evaluations suitable for
>>> inference using Markov Chain Monte Carlo (MCMC). Nevertheless, as the
>>> experiments become highly precise in the future, the training data for an
>>> accurate emulator will also become impossible to generate, making the
>>> emulator approach impractical. In this talk, I will present MF-Box, a
>>> multi-fidelity emulation framework that allows us to combine cosmological
>>> simulations from different resolutions and different box sizes.
>>> Multi-fidelity emulation augments expensive high-resolution simulations
>>> with many cheap low-resolution simulations, minimizing the computational
>>> budget. MF-Box extends our previous multi-fidelity emulator, allowing the
>>> machine learning model to use simulations from different box sizes to
>>> accelerate the training via transfer learning. I will also present a
>>> theoretical approach to analyzing the emulator's performance and
>>> determining the optimal budget allocation.
>>>
>>>
>>> *Friday, October 14, 2022 at 4 pmVirtual via Zoom:*
>>> https://ucr.zoom.us/j/94967485304?pwd=WFczZnpVcWpkR3ZVZVBETmdTNFI0UT09
>>>
>>>
>>>
>>> PS, We need more speakers for Fall! *If you want to recommend or
>>> volunteer, write the speaker's name in this sheet
>>> <https://docs.google.com/spreadsheets/d/13Y7qZKoB8Qzy44ZukZWKcU_nF9U6MnLAIOj51bEcVP4/edit?usp=sharing>.*
>>> We will contact the speakers to confirm the date.
>>>
>>> Hope to see you there!
>>> Ming-Feng Ho
>>> on behave of PASS organizing team
>>>
>>> ---
>>> Ming-Feng Ho
>>> PhD Student
>>> Physics and Astronomy, UCR
>>> NASA FINESST FI
>>> jibancat.github.io
>>>
>>>
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