CPLUOS Astrophysics team meeting

Friday 25 Mar 2022, 14:00 → 15:10 Asia/Seoul

물리학과

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

COSMOLOGY¶

1 Hyeonmo's Report - Head-on Collsion of FDM/CDM Halos(Writing Paper)¶

Speaker: Hyeonmo Koo (University of Seoul)

Head-on Collsion of FDM/CDM Halos(Writing Paper)

• Amended the snapshots of density map of FDM/CDM halo collision for v_i = 225.552km/s.

2 Young's report. FoF and MST algorithm¶

Speaker: Young Ju

ppt_220322_young.pdf

FoF and MST algorithm

• Is the DBSCAN same as Hierarchical clustering when min_sample is small?
  • Yes
• Is DBSCAN same as FoF when min_sample = 0?
  • No

3 Hannah's Report¶

See the slides from 8p

Speaker: Hannah Jhee (University of Seoul)

slide link

Filament

• Answering to the referee's comments(~20%?)
• Preparing for KAS presentation
• Digging into DisPerSE
• SDSS vs HR4
• DisPerSE to SDSS
  • Parameters
    • mse
      • nsig : 6
      • upSkl
    • skelconv
      • smooth : 10
      • breakdown
      • assemble : 0.45
      • robustness
• breakdown
• assemble 0.45
• DisPerSE to SDSS
• What to do?
  • See why it fails
  • Angle : -assemble?

4 CHOA(Cosmology of High-Order Statistics)¶

Speaker: Sumi Kim (University of Seoul)

CHOA(Cosmology of High-Order Statistics)

• Brief Introduction about DESI
  • DESI is for dark energy spectroscopic instrument and will measure the effect of dark energy on the expansion of universe. It will obtain optical spectra for tens of millions of galaxies and quasars, constructing a 3D map spanning the nearby universe to 11 billion light years.
  • The DESI survey is being conducted on the mayall 4-meter telescope at kitt peak national observatory. DESI is supported by the department of energy office of  science to perform this stage IV dark energy measurement using baryon acoustic oscillations and other techniques that rely on spectroscopic measurements.
• DESI's scientific goal is to constrain possible models of dark energy.
• DESI Observations
  • QSO : Quasi Stellar Objects, 2.4 million
  • ELG : Emission Line Galaxies, 17 million
  • LRG : Luminous Red Galaxies, 6 million
  • BGS : Bright Galaxy Survey, 10 million

5 CLML¶

Cosmology with Large scale structure using Machine Learning

Speaker: Se Yeon Hwang

Cosmology with Large scale structure using Machine Learning(CLML)

• Learning and Higher Order Statistics - 2022 spring kas poster

6 Dr.Sabiu's Report - N-PCF¶

Speaker: Dr Cristiano Sabiu (University of Seoul)

7 Discussion¶