Saga-Yonsei Joint Workshop XXI

Asia/Seoul
Room 327 (Science Bldg.)

Room 327

Science Bldg.

50, Yonsei-ro
Registration
Participants
Participants
  • Chang Dong Rho
  • Chanho Kim
  • Dongwoon Kim
  • Fumiya Okamatsu
  • Gihwan Nam
  • Haeun Jang
  • Haruka Sakobun
  • Hwidong Yoo
  • Hyuna Kim
  • Jaeyoung Kim
  • JeongHwan Park
  • Jiyeon Kim
  • JongKuk Min
  • Joon Young Lee
  • Kyeongpil Lee
  • Latsamy Xayavong
  • Masato Yokoyama
  • Mingi Park
  • Motoi Tachibana
  • Nanoka Okada
  • Natsumi Watanabe
  • Sang Chul Hyun
  • Sato Kikuko
  • Seonghyun Jeong
  • Seoyun Jang
  • Seung-Joo Lee
  • Seunghak Lee
  • Shimasaki Yuuta
  • Sora Yamashita
  • Sungjin Cho
  • Tae-Geun Kim
  • Takahiro Fusayasu
  • Tomo Takahashi
  • Wanda Isnard
  • yeji PARK
  • Yongkyu Kim
  • Youngjoon Kwon
  • Yun Eo
  • YUSUKE TOMIYASU
  • YUTO OSHIMA
  • Yuyeong Jeong
    • Registration and Welcome
      • 1
        Registration
      • 2
        [Opening talk] Can A.I. understand Hamiltonian Mechanics?

        In an era where Artificial Intelligence is advancing at an unprecedented pace across all fields, a fundamental question arises: Can AI truly understand physics? This presentation offers a partial answer by demonstrating AI's capability to comprehend Hamiltonian mechanics. We reformulated Hamilton's equations as an operator learning problem, developing a neural network that directly maps potential functions to their corresponding phase space trajectories. While mathematical constraints required us to limit our study to 1D bounded potentials with fixed initial conditions, we developed novel methodologies for generating suitable training data and proposed MambONet, a new network architecture specifically designed for this task. The trained network demonstrates genuine understanding of Hamiltonian mechanics by generating accurate time-dependent position and momentum functions from arbitrary potential inputs. Notably, our approach prevents error propagation, unlike traditional numerical methods where errors accumulate through iterations. When tested on physically significant potentials - including harmonic oscillators, double-well potentials, and Morse potentials - our method significantly outperformed conventional numerical approaches, suggesting that AI can indeed grasp fundamental physical principles.

        Speaker: Mr Tae-Geun Kim (Yonsei Univ.)
      • 3
        Welcoming Reception
    • Lecture 1 and seminar
      • 4
        Lecture 1 Study of QCD matter -Nambu meets BCS-
        Speaker: Prof. Tachibana Motoi (Saga Univ. )
      • 5
        Seminar: Physics highlights from Belle II
        Speaker: Prof. Youngjoon Kwon (Yonsei Univ.)
    • 12:00
      Lunch
    • Lecture 2 and Discussions
      • 6
        Lecture 2 (Title TBA) on astroparticle physics experiment
        Speaker: Prof. Chang Dong Roh (Sungkyunkwan Univ. )
      • 15:30
        coffee break and discussions
    • Ahn Se-Hee Memorial Student Session
      • 7
        Gravitational Waves from Flaton Fields in Thermal Inflation

        We investigate the stochastic gravitational wave signatures produced during first-order phase transitions of flaton fields in thermal inflation. Thermal inflation, potentially occurring at energy scales ranging from supergravity-motivated scenarios (>10^9 GeV) to the electroweak scale, involves flaton fields characterized by large vacuum expectation values and nearly flat potentials. We analyze prototypical potential forms of these fields with two gauge group scenarios (U(1) and SU(2)) to explore how different particle content affects the gravitational wave spectrum. We identify parameter regions where these signals fall within the sensitivity range of future gravitational wave detectors, providing both a novel approach to probe thermal inflation models and specific predictions for the frequency spectrum and amplitude of the stochastic gravitational wave background produced in these scenarios.

        Speaker: Ms Yeji Park (Yonsei Univ.)
      • 8
        Pulsar glitch

        The origin of glitch is usually thought to occur when superfluid vortices transfer to the outer crust by the catastrophic unpinning. In this study, I consider a physical microscopic model of this theory.

        Speaker: Haruka Sakobun (Saga Univ.)
      • 9
        Primordial black holes
        Speaker: Kikuko Sato (Saga Univ.)
      • 10
        Relativistic Mean Field approach to investigate Neutron Star
        Speaker: Mr Gihwan Nam (Yonsei Univ.)
      • 11
        Skyrme Parameterization from Nuclear Matter and Neutron Star Data
        Speaker: Mr Seonghyun Jeong (Yonsei Univ.)
      • 17:20
        coffee break
      • 12
        Understanding Background Events and Detector Energy Calibration for ALPs Search in EBES Experiments
        Speaker: Yuuta Shimasaki (Saga Univ.)
      • 13
        HGCROCv2 for ALICE Focal

        Introduction to the ASIC used in the ALICE experiment upgrade plan, ALICE Focal, conducted at CERN in Europe.

        Speaker: Masato Yokoyama (Saga Univ.)
    • Lecture 3 and Seminar
      • 14
        Lecture 3 (Title TBA)
        Speaker: Prof. Tomo Takahashi (Saga Univ.)
      • 15
        Seminar (Title TBA)
        Speaker: Dr Yongsoo Cho (Yonsei Univ.)
    • 12:00
      Lunch
    • Cultural Exchange
    • Lecture 4 and Seminar
      • 16
        Lecture 4 (Title TBA) on dark matter physics
        Speaker: Prof. Jong-Chul Park (Choongnam National Univ. )
      • 17
        Seminar: Nuclear structure input to low-energy precision tests of the Standard Model via superallowed 0+-->0+ Fermi beta decay
        Speaker: Dr Latsamy Xayavong (Yonsei Univ.)
    • 12:00
      Lunch
    • Lecture 5 and discussions
      • 18
        Lecture 5 The String Landscape and the Swampland Program
        Speaker: Dr Seung-Joo Lee (IBS/CTPU)
      • 15:30
        coffee break
    • Arthur Becker Memorial Student Session
      • 19
        Runaway Potential with Inverse Non-minimal Coupling to Unify Inflation and Late-Time Acceleration

        We considered a situation where a Ricci scalar R and the scalar field φ are inversely coupled each other by the term 1/2ξφ^{-n}R, where ξ denotes the strength of non-minimal coupling. This term is motivated to make Einstein-frame inflationary potential flat in a small limit of scalar field value, to guarantee high number of e-folds during inflation to cure limitations that a standard Big Bang itself cannot resolve. (e.g. flatness problem, horizon problem, etc.) On the other hand, the potential V (φ) = V0φ^{−n} is one of simplest models for explaining late-time acceleration due to runaway behavior at the large field limit, which in addition possesses attractor-like solution and well motivated by particle physics models. These two facts motivated us to study a model where a scalar field φ is inversely non-minimally coupled to the gravitational sector with aforementioned runaway potential, to explain both inflationary observations and late-time cosmic acceleration. As an inflationary stage, it is confirmed that choosing most of parameter sets (V0, ξ, n) enables us to satisfy inflationary constraints given by the latest observations from Planck-BICEP/Keck. Our setup can also explain late-time acceleration (especially showing behavior like cosmological constant in a neighborhood of current Universe (w ≃ −1) and is compatible with several constraints for successful Big Bang scenario for some suitable initial conditions. We especially discussed necessary theoretical criteria for choosing adequate initial conditions by the existence of Hubble drag, which plays a role to limit the velocity of a quintessence field during its evolution.

        Speaker: Mr Sang-Chul Hyun (Yonsei Univ.)
      • 20
        Implications of the Dark Age Consistency ratio for models beyond ΛCDM

        We propose the new observable for the Dark Age 21 cm line global signal and show that the new observable can probe models beyond the standard model. We also discuss the possibility of parameter estimation using the new observable.

        Speaker: Fumiya Okamatsu (Saga Univ.)
      • 21
        Classification of inflation models using k-means method

        I performed clustering of the inflation model using the k-means method, which is a machine learning technique.

        Speaker: Nanoka Okada (Saga Univ.)
      • 22
        On uncertainties of the determination of reheating temperature

        This study analyzes the reheating process and the uncertainties in determining the reheating temperature after the inflation. We examine whether the Gamow criterion gives a good estimate for the reheating temperature depending on models of reheating.

        Speaker: Natsumi Watanabe (Saga Univ.)
      • 17:02
        coffee break
      • 23
        Estimation of cosmological parameters using the 21cm line at the cosmic dawn

        We verified what changes occur in cosmological parameters when various astro parameters are changed during the cosmic dawn period, and what effect this has on the 21cm line.

        Speaker: Yusuke Tomiyasu (Saga Univ.)
      • 24
        Entanglement Witness of Primordial Perturbation

        Determining whether or not the primordial Perturbation generated during inflation has quantumness on the super-Hubble horizon based on entanglement witness used in quantum information theory.

        Speaker: Yuto Oshima (Saga Univ.)
      • 25
        Monkey bias with velocity consistency relation

        Density fluctuations of a tracer, such as galaxies, are represented by a bias model. In order to study gravity theories, we need to investigate the relations between the bias parameters. In our study, by using Monkey bias theory formulated in [arXiv:2003:10114] and giving the velocity consistency relation derived in [arXiv:1606.03708], we discuss the new relation between the bias parameters.

        Speaker: Sora Yamashita (Saga Univ.)
      • 26
        Orbifold Gauge Breaking in 5D and application to asymptotic GUTs

        The use of extra dimensions can adress various problems of the Standard Model (SM) of particle physics. In all cases where gauge fields propagate in the bulk of the extra dimensions, a compactification based on an “orbifold” is required in order to consistently break the bulk gauge symmetry and ensure a chiral spectrum for the massless fermionic modes. We will study the various symmetry breaking patterns allowed by the orbifold in 5D apply those results to build consistent asymptotic Grand Unified Theories (aGUTs).

        Speaker: Wanda Isnard (ENS Lyon )
    • Workshop Dinner
    • Lecture 6
      • 27
        Lecture 6 Forward physics with ALICE FoCal detector

        The foward calorimeter for the LHC ALICE experiment is being prepared and will be installed by 2029. The expected physics with FoCal and the detector development are introduced.

        Speaker: Prof. Takahiro Fusayasu (Saga Univ.)
    • Closing
      • 28
        Student presentation award ceremony
      • 29
        Closing remarks