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Constraining parity and Lorentz violations in gravity with future ground- and space-based gravitational wave detectors

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Physical Review D 2025年第10期111卷 104012-104012页

作者： Bo-Yang Zhang Tao Zhu Jian-Ming Yan Jing-Fei Zhang Xin Zhang Key Laboratory of Cosmology and Astrophysics (Liaoning) College of Sciences Northeastern University Shenyang 110819 China Institute for Theoretical Physics and Cosmology Zhejiang University of Technology Hangzhou 310032 China United Center for Gravitational Wave Physics (UCGWP) Zhejiang University of Technology Hangzhou 310032 China Key Laboratory of Data Analytics and Optimization for Smart Industry (Ministry of Education) Northeastern University Shenyang 110819 China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang 110819 China

The future ground- and space-based gravitational wave (GW) detectors offer unprecedented opportunities to test general relativity (GR) with greater precision. In this work, we investigate the capability of future ground-based GW detectors, the Einstein Telescope (ET) and the Cosmic Explorer (CE), and space-based GW detectors, LISA, Taiji, and TianQin, for constraining parity and Lorentz violations in gravity. We inject several typical GW signals from compact binary systems into GW detectors and perform Bayesian inferences with the modified waveforms with parity and Lorentz-violating effects. These effects are modeled in the amplitude and phase corrections to the GW waveforms with their frequency-dependence described by factors βν, βμ, βν¯, and βμ¯. Our results show that the combined observations of ET and CE will impose significantly tighter bounds on the energy scale of parity and Lorentz violations (MPV and MLV) compared to those given by LIGO-Virgo-KAGRA (LVK) detectors. For cases with positive values of βν, βμ, βν¯, and βμ¯, the constraints on MPV and MLV from ground-based detectors are tighter than those from the space-based detectors. For the case of βμ=−1 space-based GW detectors provide constraints on MPV that are better than current LVK observations and comparable to those from ET and CE. Additionally, space-based detectors exhibit superior sensitivity in constraining MLV for βμ¯=−2 case, which is approximately 3 orders of magnitude tighter than those from ground-based GW detectors. This scenario also enables bounds on the graviton mass at mg≲10−35 GeV. These findings highlight the promising role of future GW observatories in probing fundamental physics beyond GR.

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Prospects for weighing neutrinos in interacting dark energy models using joint observations of gravitational waves andγ-ray bursts

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Chinese Physics C 2024年第9期48卷 225-233页

作者： Lu Feng Tao Han Jing-Fei Zhang Xin Zhang College of Physical Science and Technology Shenyang Normal UniversityShenyang 110034China Key Laboratory of Cosmology and Astrophysics(Liaoning Province)&Department of Physics College of SciencesNortheastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Ministry of Education) Northeastern UniversityShenyang 110819China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang 110819China

Cosmological observations can be used to weigh neutrinos,but this method is model-dependent,with results relying on the cosmological model *** we consider interactions between dark energy and dark matter,the neutrino mass constraints differ from those derived under the standard *** the contrary,gravitational wave(GW)standard siren observations can measure absolute cosmological distances,helping to break parameter degeneracies inherent in traditional cosmological observations,thereby improving constraints on neutrino *** paper examines the constraints on neutrino mass within interacting dark energy(IDE)models and explores how future GW standard siren observations could enhance these *** multi-messenger GW observations,we consider the joint observations of binary neutron star mergers by third-generation ground-based GW detectors and shortγ-ray burst observations by missions similar to the THESEUS satellite *** current cosmological observations(CMB+BAO+SN),we obtain an upper limit on the neutrino mass in the IDE models of 0.15(or 0.16)*** the inclusion of GW data,the upper limit on the neutrino mass improves to 0.14 *** indicates that in the context of IDE models,the improvement in neutrino mass constraints from GW observations is relatively ***,GW observations significantly enhance the constraints on other cosmological parameters,such as matter density parameter,the Hubble constant,and coupling strength between dark energy and dark matter.

关键词： interacting dark energy neutrino mass gravitational wave standard siren cosmology

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XTM-GAN: Generative Adversarial Networks for Tone Mapping of Dual-Energy X-ray Security Images 14

XTM-GAN: Generative Adversarial Networks for Tone Mapping of...

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14th IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2024

作者： Cai, Da Jia, Tong Wang, Hao Chen, Dongyue College of Information Science and Engineering Northeastern University Liaoning Shenyang110819 China Ministry of Education Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry Liaoning Shenyang110819 China Foshan Graduate School of Innovation Northeastern University Guangdong Foshan528311 China

ISBN: (纸本)9798331506056

X-ray imaging technology is vital in national public security. However, compressing 16-bit high dynamic range X-ray images into 8-bit displayable images often leads to loss of crucial details, hampering effective security inspection. To address this, we propose XTM-GAN, a dual-energy X-ray tone mapping generative adversarial network, to enhance X-ray imaging quality. By leveraging the properties of dual-energy X-rays, we construct a dedicated dataset called DEXray. We design a dual-branch generation network and a discrimination network that combines global and local image information. Through end-to-end generative adversarial training using pairs of dual-energy HDR and LDR X-ray images, which can generate high-quality X-ray security images. We train and compare our algorithm using the DEXray dataset against other state-of-the-art tone mapping algorithms. The results demonstrate the superior performance of our approach. The proposed method has significant practical applications and holds research significance in the fields of security and transportation. © 2024 IEEE.

关键词： Gallium nitride

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Reconstruction of aether scalar tensor theory for variouscosmological scenarios

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Chinese Physics C 2024年第4期48卷 202-208页

作者：付启铭何梦慈眭陶陶张鑫 Institute of Physics Shaanxi University of TechnologyHanzhong 723000China College of Physics Nanjing University of Aeronautics and AstronauticsNanjing 211106China Key Laboratory of Cosmology and Astrophysics(Liaoning)&College of Sciences Northeastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Ministry of Education) Northeastern UniversityShenyang 110819China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang 110819China

In this paper,we present several explicit reconstructions for the aether scalar tensor(AeST)theory derived from the background of the Friedmann-Lemaître-Robertson-Walker cosmological *** is shown that the Einstein-Hilbert Lagrangian with a positive cosmological constant is the only Lagrangian capable of accurately replicating the exact expansion history of theΛcold dark matter(ΛCDM)universe filled solely with dust-like ***,theΛCDM-era can be produced within the framework of the AeST theory for some other fluids,including a perfect fluid with p=−(1/3)ρ,multifluids,and nonisentropic perfect ***,we demonstrate that theΛCDM-era can be replicated with no real matter field for the AeST *** cosmic evolution resulting from both the power-law and de-Sitter solutions can also be obtained.

关键词： reconstruction modified gravity cosmology

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A Discussion of the Mapping from the Unified Search Space to the Search Space of the Optimized Task in Evolutionary Multitasking optimization

A Discussion of the Mapping from the Unified Search Space to...

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2021 China Automation Congress, CAC 2021

作者： Yao, Shuangshuang Dong, Zhiming Wang, Xianpeng Liu, Qingqing Lou, Hangyu Zhao, Yumeng College of Information Science and Engineering Northeastern University Shenyang China Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang China Institute of Industrial and Systems Engineering Northeastern University Shenyang China

ISBN: (纸本)9781665426473

Multitasking evolutionary algorithms enable the communication of information between different tasks and the mining of valuable knowledge by encoding all individuals into a unified search space. The mapping of decision variables of the same dimension for different tasks in the unified search space has the same dimensional index, i.e., the same encoded position. In this paper, we disrupt this mapping relationship so that decision variables of the same dimension for different tasks correspond to different encoded positions in the unified search space, to analyze and discuss the effect of this mapping relationship on the performance of the algorithm. A series of experimental results suggest that the mapping relationship between the decision variables of different tasks in a multitasking evolutionary algorithm has a significant impact on the performance of the algorithm. © 2021 IEEE

关键词： Mapping

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Synergy between CSST galaxy survey and gravitational-wave observation: Inferring the Hubble constant from dark standard sirens

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Science China(Physics,Mechanics & Astronomy) 2024年第3期67卷 7-19页

作者： Ji-Yu Song Ling-Feng Wang Yichao Li Ze-Wei Zhao Jing-Fei Zhang Wen Zhao Xin Zhang Key Laboratory of Cosmology and Astrophysics(Liaoning)&College of Sciences Northeastern UniversityShenyang 110819China CAS Key Laboratory for Researches in Galaxies and Cosmology Department of AstronomyUniversity of Science and Technology of ChinaChinese Academy of SciencesHefei 230026China School of Astronomy and Space Sciences University of Science and Technology of ChinaHefei 230026China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Ministry of Education) Northeastern Universty Shenyang 110819China

Gravitational waves(GWs) from compact binary coalescences encode the absolute luminosity distances of GW sources. Once the redshifts of GW sources are known, one can use the distance-redshift relation to constrain cosmological parameters. One way to obtain the redshifts is to localize GW sources by GW observations and then use galaxy catalogs to determine redshifts from a statistical analysis of redshift information of the potential host galaxies, commonly referred to as the dark siren method. The third-generation(3G) GW detectors are planned to work in the 2030s and will observe numerous compact binary *** these GW events as dark sirens requires high-quality galaxy catalogs from future sky survey projects. The China Space Station Telescope(CSST) will be launched in 2024 and will observe billions of galaxies within a 17500 deg^(2) survey area with redshift up to z ~ 4, providing photometric and spectroscopic galaxy catalogs. In this work, we simulate the CSST galaxy catalogs and the 5-year GW data from the 3G GW detectors and combine them to infer the Hubble constant(H_(0)). Our results show that the measurement precision of H0could reach the sub-percent level, meeting the standard of precision cosmology. We conclude that the synergy between CSST and the 3G GW detectors is of great significance in measuring the Hubble constant.

关键词： CSST galaxy survey galaxy catalogs gravitational waves dark sirens the Hubble constant

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AcArm: A Novel Semiconductor Wafer Handling Robot

AcArm: A Novel Semiconductor Wafer Handling Robot

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China Semiconductor Technology International Conference (CSTIC)

作者： Donglin Chen Lixin Tang Dehong Cong Jingchao Qiao National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang China Ministry of Education Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Shenyang China Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry Shenyang China

In the field of semiconductor manufacturing, highly automated production methods have become an inevitable trend of development thanks to their precise, stable and reliable characteristics. This paper focuses on the handling link in the semiconductor production process, designed a novel handling robot. Minimum Snap method is used to plan the end-effector trajectory of the robot, the control method of the robot is based on the position control, and the experiment environment is the co-simulation environment of Simulink and Adams. All the simulation testing of the planning and the control method has been done on the virtual prototype.

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PID-YOLOX: An X-Ray Prohibited Items Detector Based on YOLOX 13

PID-YOLOX: An X-Ray Prohibited Items Detector Based on YOLOX

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13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2023

作者： Li, Mingyuan Ma, Bowen Wang, Hao Li, Yingbo Chen, Dongyue Jia, Tong College of Information Science and Engineering Northeastern-University Shenyang China Foshan Graduate School of Innovation Northeastern University China Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education China

ISBN: (纸本)9798350315196

X-ray prohibited items detection is an effective and crucial measure in various security inspection scenarios. However, the overlapping phenomenon in X-ray images exacerbates the foreground-background class imbalance, and the imaging principle of X-ray images results in missing texture features. To address these challenges, we propose an end-to-end X-ray Prohibited Items Detector (PID-YOLOX) based on YOLOX-Tiny, which offers fast detection speed and high accuracy. Specifically, we introduce the Generalized Label Assignment (GLA) scheme to tackle the foreground-background class imbalance problem, and the Multi-Cardinality Attention (MCA) mechanism to alleviate the issue of missing texture features. Our experimental results show that PID-YOLOX achieves 54.9% average precision (AP) on the PIXray dataset, surpassing YOLOX-Tiny by 2.2% AP. Furthermore, extensive experiments demonstrate that PID-YOLOX is superior to the state-of-the-art methods, indicating its potential applications in the prohibited items detection field. © 2023 IEEE.

关键词： Textures

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Binocular active stereo matching based on multi-scale random forest 13

Binocular active stereo matching based on multi-scale random...

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13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2023

作者： Liu, Jiatong Pu, Mingqi Wang, Ghutian Chen, Dongyue Jia, Tang College of Information Science and Engineering Northeastern University Shenyang China Foshan Graduate School of Innovation Northeastern University China Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education China

ISBN: (纸本)9798350315196

With the rapid development of 3D vision technology, the existing passive binocular cameras can no longer meet the practical needs of depth perception. Therefore, this paper proposes a binocular active stereo matching method based on multi-scale random forest. Firstly, a binocular active vision system consists of a near-infrared random speckle projector and a binocular camera is constructed, and the system was calibrated using Zhang's calibration method. Secondly, gamma image enhancement and image difference method are used for processing to reduce the impact of ambient light on the measurement results. Next, extract the points of interest and use the multi-scale random forest algorithm to match the window where the points of interest are located to generate a sparse structured light anchor disparity map globally. Finally, using the Census transforms as the matching cost, iterate continuously, refine the disparity and get a dense disparity map. The experimental results show that this system can achieve good depth perception accuracy and robustness under complex indoor lighting conditions. © 2023 IEEE.

关键词： Binoculars

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Single-Stage Grasping Algorithm for the Manipulator Based on Rotational Gaussian Encoding 13

Single-Stage Grasping Algorithm for the Manipulator Based on...

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13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2023

作者： Liu, Zhenghao Liu, Yizhe Yang, Guowei Chen, Dongyue Jia, Tong College of Information Science and Engineering Northeastern University Shenyang China Foshan Graduate School of Innovation Northeastern University China Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education China

ISBN: (纸本)9798350315196

As we all know, there is an unsolved problem for robots to accurately and quickly grasp unknown objects in an unstructured environment. In order to describe the pose information of objects more accurately, a rotational Gaussian encoding method is proposed in this paper. Different from the traditional 2-D Gaussian encoding to represent ground-truth, this method introduces rotation information based on 2-D Gaussian. Grasping is made more accurate and robust by treating the grasp pose as a rotating bounding box in the image plane. In addition, a balanced loss function is introduced in this paper. This loss function not only solves the problem of positive and negative sample imbalance in the traditional cross-entropy loss but also reduces the penalty of points around the Gaussian center location. In this paper, a pixel-level single-stage grasping algorithm is designed in an end-to-end manner without the intermediate process of using anchor points, which saves time and improves the accuracy of grasping simultaneously. Then, the proposed model in this paper is evaluated on two standard datasets, Cornell dataset and Jacquard dataset, achieving 96.8% and 94.7% accuracy, respectively. Finally, we use a 6 DoF UR5e robotic arm for real-world grasping experiments. The success rate of single-object grasping is 94.7% and the time to generate the grasp frame is 8 ms. Experiments demonstrat that the algorithm is equally effective in real-world environments and has a faster detection time. © 2023 IEEE.

关键词： Signal encoding

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