While the standard model is the most successful theory to describe all the interactions and constituents of elementary particle physics, it has been constantly scrutinized for over four decades. Weak decays of charm quarks can be used to measure the coupling strength between quarks in different families and serve as an ideal probe for CP violation. As the lowest charm-strange baryons with three different flavors, baryons (composed of or ) have been extensively studied in experiments. In this study, we use state-of-the-art lattice QCD techniques to generate 2+1 clover fermion ensembles with two lattice spacings, . Then, we present the first ab-initio lattice QCD calculation of the form factors. Our theoretical results for the decay widths are consistent with and approximately two times more precise than the latest measurements by the ALICE and Belle collaborations. Based on the latest experimental measurements, we independently obtain the quark-mixing matrix element , which is in good agreement with results from other theoretical approaches.

Realistic and diverse simulation scenarios with reactive and feasible agent behaviors can be used for validation and verification of self-driving system performance without relying on expensive and time-consuming real-world testing. Existing simulators rely on heuristic-based behavior models for background vehicles, which cannot capture the complex interactive behaviors in real-world scenarios. Meanwhile, existing learning-based methods are typical insufficient, yielding behaviors of traffic participants that frequently collide or drive off the road especially for a long horizon. To address this issue, we propose TrajGen, a two-stage trajectory generation framework, which can capture more realistic and diverse behaviors directly from human demonstration. In particular, TrajGen consists of the multi-modal trajectory prediction stage and the reinforcement learning based trajectory modification stage. In the first stage, we propose a novel auxiliary RouteLoss for the trajectory prediction model to generate multi-modal diverse trajectories in the drivable area. In the second stage, reinforcement learning is used to track the predicted trajectories while avoiding collisions, which can improve the reactivity and feasibility of generated trajectories. In addition, we develop a simulator I-Sim that can provide support for data-driven agent behavior simulation and train reinforcement learning models in parallel based on naturalistic driving data. The vehicle model in I-Sim can guarantee that the generated trajectories by TrajGen satisfy vehicle kinematic constraints. Finally, we give comprehensive metrics to evaluate generated trajectories for simulation scenarios, which shows that TrajGen outperforms either trajectory prediction or inverse reinforcement learning in terms of fidelity, reactivity, feasibility, and diversity.

The open source ROCm platform for GPU computing provides an uniform framework to support both the NVIDIA and AMD GPUs, and also the possibility to porting the CUDA code to the ROCm-compatible one. We will present the porting progress on the Overlap fermion inverter (GWU-code) based on thrust and also a general inverter package - QUDA.

We present the light-flavor quark masses and low-energy constants using the $2+1$ flavor full-QCD ensembles with stout smeared-clover fermion action and Symanzik gauge action. Both the fermion and gauge actions are tadpole improved self-consistently. The simulations are performed on 11 ensembles at three lattice spacings $a\in [0.05,0.11]\mathrm{fm}$, four spatial sizes $L\in [2.5,5.1]\mathrm{fm}$, seven pion masses $m_{\pi }\in [135,350]\mathrm{MeV}$, and several values of the strange quark mass. The quark mass is defined through the partially conserved axial current relation and renormalized to $\overline{\mathrm{MS}}(2\mathrm{GeV})$ through the intermediate regularization independent momentum subtraction scheme. The systematic uncertainty of using the symmetric momentum subtraction scheme is also included. Eventually, we predict $m_u=2.45(22)(20)\mathrm{MeV}$, $m_d=4.74(11)(09)\mathrm{MeV}$, and $m_s=98.8(2.9)(4.7)\mathrm{MeV}$ with the systematic uncertainties from lattice spacing determination, continuum extrapolation and renormalization constant included. We also obtain the chiral condensate ${\mathrm{\Sigma }}^{1/3}=268.6(3.6)(0.7)\mathrm{MeV}$ and the pion decay constant $F=86.6(7)(1.4)\mathrm{MeV}$ in the $N_f=2$ chiral limit, and the next-to-leading order low-energy constants ${\ell }_3=2.43(54)(05)$ and ${\ell }_4=4.322(75)(96)$.

We report a state-of-the-art lattice QCD calculation of the isovector quark transversity distribution of the proton in the continuum and physical mass limit using large-momentum effective theory. The calculation is done at four lattice spacings $a=\{0.098,0.085,0.064,0.049\}\mathrm{fm}$ and various pion masses ranging between 220 and 350 MeV, with proton momenta up to 2.8 GeV. The result is nonperturbatively renormalized in the hybrid scheme with self-renormalization, which treats the infrared physics at large correlation distance properly, and extrapolated to the continuum, physical mass, and infinite momentum limit. We also compare with recent global analyses for the nucleon isovector quark transversity distribution.

Quantum chromodynamics (QCD) claims that the major source of the nucleon invariant mass is not the Higgs mechanism but the trace anomaly in the QCD energy-momentum tensor. Although experimental and theoretical results support such a conclusion, a direct demonstration is still absent. We present the first lattice QCD calculation of the quark and gluon trace anomaly contributions to the hadron masses, using the overlap fermion on the $2+1$-flavor dynamical domain wall quark ensemble at $m_{\pi }=340\mathrm{MeV}$ and lattice spacing $a=0.1105\mathrm{fm}$. The result shows that the gluon trace anomaly contributes to most of the nucleon mass, the contribution in the pion state is smaller than that in others nearly by a factor of $\sim 10$, and the gluon trace anomaly density in the center of the pion is negative. The gluon trace anomaly coefficient $\beta /g^3=-0.056(6)$ we obtained is consistent with its regularization-independent leading-order value $(-11+\frac{2N_f}{3})/(4\pi {)}^2$ perfectly.