Searching for dark matter via mono-ZZ boson production at the ILC

High energy colliders provide a new unique way to determine the microscopic properties of the dark matter (DM). Weakly interacting massive particles (WIMPs) are widely considered as one of the best DM candidates. It is usually assumed that the WIMP couples to the SM sector through its interactions with quarks and leptons. In this paper, we investigate the DM pair production associated with a $Z$ boson in an effective field theory framework at the International Linear Collider (ILC), which can be used to study the interactions between the DM and leptons. For illustrative purposes, we present the integrated and differential cross sections for the $e^+ e^- \rightarrow \chi \bar{\chi} Z$ process, where the $Z$ boson is radiated from the initial state electron or positron. Meanwhile, we analyze the neutrino pair production in association with a $Z$ boson as the SM background.Comment: 12 pages, 5 figure

Safety Embedded Stochastic Optimal Control of Networked Multi-Agent Systems via Barrier States

This paper presents a safe stochastic optimal control method for networked multi-agent systems (MASs) by using barrier states (BaSs) to embed the safety constraints into the system dynamics. The networked multi-agent system (MAS) is factorized into multiple subsystems, each of which is augmented with BaSs for the central agent. The optimal control law is obtained by solving the joint Hamilton-Jacobi-Bellman (HJB) equation on the augmented subsystem, which ensures safety via the boundedness of the BaSs. The BaS-based optimal control method generates safe control actions and also preserves optimality. The safe optimal control solution is ultimately approximated with path integrals. We validate the efficacy of the proposed approach in numerical simulations on a cooperative UAV team in two different scenarios

ANTECEDENTS OF PROJECT IMPLEMENTATION SUCCESS IN CROWDFUNDING

Crowdfunding is emerging as a booming financing channel for entrepreneurs to raise money for their projects. However, crowdfunding project implementation has been a major challenge which does not gain enough attention in the current literature. This paper developed a research model to investigate the antecedents of crowdfunding project success measured in three dimensions, i.e., award (product) delivery timeliness, the extent to which the award meets the specifications (meeting specifications), and sponsor overall satisfaction. We conducted a survey in Demohour, one of the famous crowdfunding platforms in China, to test the proposed model. The findings suggested that compared with delivery timeliness, meeting specifications is of more importance to increase overall satisfaction. The results also revealed that crowdfunding project difficulty significantly reduces the implementation success. In addition, team experience plays an important role in improving project success. Project planning is also a critical predictor for delivery timeliness. Both of theoretical research and crowdfunding industrial practice can draw some enlightenment from this study

An Information-Theoretic Analysis of Discrete-Time Control and Filtering Limitations by the I-MMSE Relationships

Fundamental limitations or performance trade-offs/limits are important properties and constraints of control and filtering systems. Among various trade-off metrics, total information rate, which characterizes the sensitivity trade-offs and average performance of control and filtering systems, is conventionally studied by using the (differential) entropy rate and Kolmogorov-Bode formula. In this paper, by extending the famous I-MMSE (mutual information -- minimum mean-square error) relationship to the discrete-time additive white Gaussian channels with and without feedback, a new paradigm is introduced to estimate and analyze total information rate as a control and filtering trade-off metric. Under this framework, we enrich the trade-off properties of total information rate for a variety of discrete-time control and filtering systems, e.g., LTI, LTV, and nonlinear, and also provide an alternative approach to investigate total information rate via optimal estimation.Comment: Neng Wan and Dapeng Li contributed equally to this pape