CPLUOS Astrophysics team meeting

Friday 27 Jan 2023, 14:00 → 15:20 Asia/Seoul

물리학과

https://uos-ac-kr.zoom.us/j/8264902652

COSMOLOGY

1 Hyeonmo's Report

Speaker: Hyeonmo Koo (University of Seoul)

Planar System Generation

• We have created the ellipsoid+ satellite galaxy.
• We discuss setting the initial conditions more precisely.
• We imple Professor Jaeweon Lee code with MATLAB.
• We are currently in the process of seeking a direction for research.
• We study gas dynamics code.
• Cold Dark Matter (CDM): Gas separation is important., collisionless
  • Collisionless
    • Cross section is very small.
    • CDM has the property of passing through.
    • Under gravity, there is no interaction other than gravity.
    • The trajectory changes.
• Fuzzy Dark Matter (FDM): Velocity changes., the dispersion represents., FDM is described as waves.
  • FDM is described as waves.: Interference, the property of waves, represents.
  • Cooling principle: The interaction between the two

2 Young's report. FoF and MST algorithm

Speaker: Young Ju

FoF and MST algorithm

• We check Mulguisin code.
• We make switch of 'voronoi+local+weight'.
• We set radius = 10 (dimensionless)
• We add errors.

3 Hannah's Report

Speaker: Hannah Jhee (University of Seoul)

Halos infalling a cluster through filaments

• Decomposition of halo velocity
• Problem: How did you set up the filament?
  • All time filament: Remove the unnecessary things (physically low-density things) and collect the important things.
  • Filament fix: Reduce the noise.
  • Finding the filament structure.: Merger tree.
  • 500 times smoothed
    • Readjust one position of the filament as the mean.
  • Review v_pararell.
  • Setting the criteria for the merger tree well.
  • Filament is curved.
• Participate in KITP workshop (program).: Feb 5th ~ Feb 16th

4 Seyeon's Report - CLML

Speaker: Se Yeon Hwang (Universe of Seoul)

Cosmology with Large scale structure using Machine Learning (CLML)

• We predict parameters as Convolution Neural Network (CNN).

5 Sumi's report

Speaker: Sumi Kim (University of Seoul)

Cosmology of High-Order Statistics (CHOA) & Dark Energy Spectroscopic Instrument (DESI)

• A joint study with Professor Ena Choi: Satellite Galaxy Distribution

6 Dr.Sabiu's Report

Speaker: Dr Cristiano Sabiu (University of Seoul)

Deep Learning the Deep Sky: Recovering low surface brightness objects with machine learning

• No progress

7 Discussion