CPLUOS Astrophysics team meeting

Friday 25 Nov 2022, 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)

Head-on Collision Fuzzy/Cold Dark Matter Halos

• Registrate the 9th galaxy evolution workshop.

2 Young's report. FoF and MST algorithm

Speaker: Young Ju

FoF and MST algorithm

• After MGS meeting, Prof. In Kyu Park suggested making 5 clusters and check the clustering
  • Number of galaxies for each cluster = 50
  • The galaxies are spread by a Gaussian distribution (σ =10).
  • Plot MGS and MST.
    • MST should be corrected.
      • Because it is not clear.
    • Maybe we should use new algorithm.

3 Hannah's Report

Speaker: Hannah Jhee (University of Seoul)

Halos infalling a cluster through filaments

• No progress

4 Seyeon's Report - CLML

Speaker: Se Yeon Hwang (Universe of Seoul)

Cosmology with Large scale structure using Machine Learning (CLML)

• We are running the simulation.
• wa → Failure
• Change range of σ₈.
• 786/1000
• 786 → 3 weeks ~ 4 weeks
  • Used only Pax3.
• σ₈ > 1.0 → It's okay.
• Further study
  • While waiting the simulation, we are studying Holo Occupation Distribution (HOD). → The result of machine learning.
  • So far, we just used dark matter only the simulation but we are are going to use HOD and NFW profile to produce galaxy catalog.
  • We started writing paper (Result is not yet).
    • The paper's title is Constrain Cosmology in Large Scale Structure.
  • After new simulation is finished, we can more discuss about which result will be included.

5 Sumi's report

Speaker: Sumi Kim (University of Seoul)

Cosmology of High-Order Statistics (CHOA)

• From now on
  • Put N-point correlation function.
  • Into Nd interpolator
  • To get Npcf for new parameters.
• Scipy LinearNdInterpolator → New Npcf.
  • Can compare with original result.
  • Can calculate the error.
  • Plot
    • Red dots: Parameters resulted Nan
    • Green dots: Nans from same row. → It is not important.
    • Nan should only be in the edge, Nan should not only be in the center.
• No Nans in result file
• But error is too high compared with the LinearNdInterpolator.
• Goal
  • We extract values of parameters.
  • We get N-point correlation function.

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