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

    • 14:00 15:10
      COSMOLOGY
      • 14:00
        Hyeonmo's Report 10m
        Speaker: Hyeonmo Koo (University of Seoul)

        Brief Introduction of the Calculation inside GADGET2 Simulation & Plotting

        • No progress
      • 14:10
        Young's report. FoF and MST algorithm 10m
        Speaker: Young Ju

        FoF and MST algorithm (Writing a paper)

        • Mulguisin Clustering Algorithm I. - Comparison of Clustering Algorithms for Study of Cosmic Structure Finding
      • 14:20
        Hannah's Report 10m

        See the slides from 8p

        Speaker: Hannah Jhee (University of Seoul)

        Axionyx: CDM Mixed Simulation

        • True phase-space trajectories
      • 14:30
        Seyeon's Report - CLML 10m
        Speaker: Se Yeon Hwang (Universe of Seoul)

        Cosmology with Large scale structure using Machine Learning (CLML)

        • Blue print
          • Pinocchio (= dark matter halo simulation)
          • Snapshot (fixed z) → In Spring KAS → CNN
          • Light cone (..< z <..) → In IAU → CNN and ViT
          • Light cone (..< z <..) → In Future → Make galaxy catalog → CNN and ViT
          • What we have to solve before going next step is..
          • Getting good result on using light cone data!!
        • Outline
          • Problem
            • ViT result with augmentation
              • It is difficult to say why only Om and w0 have some signal on Vit.
              • We are considering about changing input data which using light cone (not yet...).
              • Today: We checked our first result in KAS
            • Our parameter space:
              • 0.16 Ωm ≤ 0.46
              • 0.4 ≤ σ8 ≤  1.1
              • (Box size, Number of particles)
                • (512 (Mpc), 5123)
              • Other parameters
                • baryon, h, ns, w0, wa)
                • (0.0493, 0.6736, 0.9649, -1, 0)
              • In Ωm - σ8 graph,
                • I used latin hypercube sampling
              • Snapshot data (0 ~ 64 Mpc), bin size = 32, one pixel has 2 Mpc information
              • Learning rate = 0.0005
              • Epoch = 150
              • Snapshot data (0 ~ 512 Mpc), bin size = 32, 64 times larger than above one
                • Black
                • Green
        • IAU feedback
          • 1. About histogram resolution
          • 2. Parameter >> Gaussian distribution
      • 14:40
        Sumi's report 10m
        Speaker: Sumi Kim (University of Seoul)

        Calculating Bright Galaxy Survey (BGS) 2 pcf

        • Examples of how to run Barry for DESI KP4
      • 14:50
        In's Report 10m
        Speaker: In Hwang (University of Seoul)

        Kerr Black Hole Mechanics using EinsteinPy

        • Visualizing Ergosphere and Event Horizon and Singularities of Kerr Metric or Black Hole
        • Visualizing Frame-dragging in Kerr Space-time
        • Future work
          • Try making some more black hole plots using EinsteinPy.
          • The Hawking temperature determines the mass of the black hole, and the mass of the black hole determines the evaporation time of the black hole.
          • Find the masses of the black holes when the evaporation time of the black holes is Planck time.
          • This condition means the initial masses of the black holes where the effects of quantum gravity can appear.
          • Here, the final masses of the black holes are zero. The reason is that Hawking radiation reduces mass.
      • 15:00
        Dr.Sabiu's Report 10m
        Speaker: Dr Cristiano Sabiu (University of Seoul)

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

        • No progress
    • 15:10 15:20
      Discussion 10m