2023年度素粒子論セミナーの履歴(No.11)

2023年†

日時: July 25 (Tue) 10:00 - 11:00
場所: Workshop room at CCS/Zoom
講演者: Yuma Asano (University of Tsukuba)
タイトル: TBD
概要:

2023/07/25:slides(pdf)

日時: July 10 (Mon) 13:00 - 14:00
場所: Workshop room at CCS/Zoom
講演者: Takaaki Kuwahara (Shizuoka University)
タイトル: TBD
概要:

2023/07/10:slides(pdf)

日時: July 4 (Tue) 14:00 - 15:00
場所: Workshop room at CCS/Zoom
講演者: Daiki Ueda (KEK)
タイトル: 相対エントロピーから生じる有効場の理論への制約
概要:
相対エントロピーは二つの確率分布の違いを特徴づける量であり、物理学における重要な熱力学の第二法則とも密接な関係がある.　本講演では、相対エントロピーの重要な性質の一つである非負性について説明する. その後、重たい自由度と軽い自由度の間の相互作用がある理論とない理論の間の相対エントロピーの非負性について考え、様々な例でその帰結について説明する.  例として、Ising模型における非負の磁気透磁率、素粒子標準模型有効場の理論におけるSU(N)ゲージボソンからなる次元8の演算子の係数に現れるpositivity boundsなどを検討する. また、Einstein-Maxwell理論の高次演算子に生じる制約についても議論し、Mild Weak Gravity Conjectureとの関係についても説明する. 相対エントロピーから生じる制約が破れる条件についても説明する.

2023/07/04:slides(pdf)

日時: June 20 (Tue) 13:30 - 14:30
場所: Workshop room at CCS/Zoom
講演者: Shinichiro Akiyama (University of Tsukuba)
タイトル: Bond-weighting method for the Grassmann tensor renormalization group
概要:
The bond-weighted tensor renormalization group (BTRG) is a novel tensor network algorithm to evaluate the partition functions of two-dimensional classical spin systems. We extend the BTRG to make it applicable to the fermionic system, benchmarking with the two-dimensional massless Wilson fermion. We show that the accuracy with the fixed bond dimension is improved also in the fermionic system and provide numerical evidence that the optimal choice of the hyperparameter is not affected by whether the system is bosonic or fermionic. In addition, we find that the scale-invariant structure of the renormalized Grassmann tensor is successfully kept by the bond-weighting technique by monitoring the singular value spectrum.

2023/06/20:slides(pdf)

日時: June 7 (Wed) 16:30-17:30
場所: Workshop room at CCS/Zoom
講演者: Takayuki Sumimoto (University of Tsukuba)
タイトル: Data-driven construction of holographic QCD model
概要:
We propose a novel construction method for holographic QCD models and validate its effectiveness using ρ meson spectrum data. Holographic QCD models are effective models of hadron physics that are constructed based on insights from gauge-gravity duality. The construction of these models can be approached from two directions: top-down, based on reduction from string theory, and bottom-up, based on insights from gauge-gravity duality. However, both methods have their problems. In the top-down approach, it is generally difficult to reduce to hadron physics as a low-energy effective model of QCD. The bottom-up approach, although based on the properties of QCD, requires the assumption of a simple model.
In contrast, we propose a data-driven approach. In this method, we construct complex holographic models from physical quantities through spacetime emerging via deep learning based on AdS/DL and the derivation of the corresponding gravitational action. In particular, we construct the model using ρ meson spectrum data. This study opens up new possibilities for the construction and application of holographic QCD models, and could potentially
provide a new way to bridge the gap between string theory and experimental facts.

2023/06/7:slides(pdf)

2023年度 素粒子論セミナー の履歴(No.11)

2023年†

2023年度素粒子論セミナーの履歴(No.11)