CPLUOS Astrophysics team meeting

Asia/Seoul
물리학과

물리학과

Zoom Meeting https://uos-ac-kr.zoom.us/j/8264902652 Meeting ID: 826 490 2652
Description

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

    • COSMOLOGY
      • 1
        Dr.Sangnam Park's Report - FDM_Offset
        Speaker: Sangnam Park
      • 2
        Hyeonmo's report - FDM vs CDM Halo Collision
        Speaker: Hyeonmo Koo (University of Seoul)
        • FDM vs CDM Halo Collision
          • In Initial Velocity [28.184km/s] - Velocity Decrease [28.184km/s] graph,
            • 0 ~ 42 : FDM Data is higher than CDM Data
            • 42 ~ : FDM Data and CDM data are similar
          • The Halo with mass M → Scaling of halo with mass M_0 which have initial velocity vM_0/M
            • Here, set the M_0 = 50, drew the graph comparing velocity of before and after collision.
      • 3
        Young's report. FoF and MST algorithm
        Speaker: Young Ju
        • FoF and MST algorithm
          • Check the number of cluster by changing linking-length.
            • Random data : 50 clusters
            • Noise : 5,000
            • In fResolution - Number graph,
              • MGS
                • n total
                • n >= 3
                • n >= 50
            • In Linking - Length graph,
              • FoF
                • n total
                • n >= 3
                • n >= 50
      • 4
        CHOA(Cosmology of High-Order Statistics)
        Speaker: Sumi Kim (University of Seoul)
        • CosKASI Presentation Summary
          • Goal : To extract more information from small scales(~50Mpc)
          • Method : Train some generated simulations with Gaussian Process and using MCMC to recover test simulation parameters.
          • Result : Using 5 kinds of Correlation functions can predicted with few % error at small scales, improving cosmological parameters precision increase with 15 ~ 25%
            • Projected : ω_p(r_p)
            • Monopole : ξ_0(r)
            • Quadrupole : ξ_2(r)
            • Underdensity probability : P_U(r)
            • Marked correlation function : M(r)
        • Our progress
          • Considering all possible shapes in 4pcf on our code and working on generalizing issues.
      • 5
        Dr.Sabiu's Report - Density Reconstruction
        Speaker: Dr Cristiano Sabiu (University of Seoul)
        • Density Reconstruction
          • 3-point correlation function - all bins (configurations) → How about draw the graph as 3-D instead 2-D?
          • 4-point correlation function - all bins (configurations)
    • 6
      Discussion