CPLUOS Astrophysics team meeting

Friday 4 Mar 2022, 14:00 → 15:10 Asia/Seoul

물리학과

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

COSMOLOGY

1 Hyeonmo's report - FDM vs CDM Halo Collision

Speaker: Hyeonmo Koo (University of Seoul)

2 Young's report. FoF and MST algorithm

Speaker: Young Ju

FoF and MST algorithm

• Aim : Test MGS and other algorithms using 3 Controlled data
  • 1. Simple gaussian model
  • 2. Power-law model & noise
  • 3. Halo mass function & NFW profile
• Controlled data 1 : simple gaussian model
  • Check the number of clusters for each data set(more than 3 member)
  • Linking-length = 10.0
  • Check the number of clusters with changing linking-length
• Controlled data 2 : power-law model & noise
  • 50 halo ; 7041 galaxies
  • When noise 50000, MGS value is very high
• Controlled data 3 : Halo mass function + NFW profile
  • 500 halo ; 50257 galaxies
• Cutoff = 10Mpc
• Size scale = Mpc/h
• 50 halo : minimum galaxies

3 CHOA(Cosmology of High-Order Statistics)

Speaker: Sumi Kim (University of Seoul)

CHOA(Cosmology of High-Order Statistics)

• Preparing KAS poster
  • The N - point correlation function + machine learning  → cosmology parameter estimation

4 CLML

Cosmology with Large scale structure using Machine Learning

Speaker: Se Yeon Hwang

CLML_03.04.pdf

CLML(Cosmology with Large scale structure using Machine Learning)

• Estimating cosmological parameters(Ω_m, σ_8) using 3dCNN
• About data
  • Halo's xyz position → Numpy.histogramdd → the number of halos in each bin
• Data type
  • bins_Nhalo, bins_mass, bins_speed
• Result(minimum value)
  • Apple
    • Om
      • True-pred, mass : 0.0014
      • std, nhalo+mass+vel : 0.0382
    • Sig
      • True-pred, vel : 0.0418
      • std, nhalo : 0.0661
  • Banana
    • Om
      • True-pred, mass : 0.003
      • std, nhalo+mass+vel : 0.0315
    • Sig
      • True-pred, nhalo : 0.0516
      • std, nhalo : 0.0632

5 Hannah's Report - Weak Lensing with Machine Learning

Speaker: Hannah Jhee (University of Seoul)

6 Dr.Sabiu's Report - N-PCF

Speaker: Dr Cristiano Sabiu (University of Seoul)

7 Discussion