We have recently shown that, as a compact star containing mixed-phase matter slows down, the compression can cause deconfinement phase transition, and thus enhance the chemical deviations and raise the chemical heatin...We have recently shown that, as a compact star containing mixed-phase matter slows down, the compression can cause deconfinement phase transition, and thus enhance the chemical deviations and raise the chemical heating eiYiciency. In a previous study, only the direct Urca processes in nucleon and quark matter were considered. In this work, we extend the previous analysis to the case where the much slower modified Urca processes operate in nucleon matter. We find a fast promotion in the surface effective temperature of hybrid stars, and that the cooling process is dominated by both the nucleon and quark channels.展开更多
In this paper,we study the third family of compact stars with the color-flavor locked(CFL)quark core.The relativistic mean field model is used for hadronic matter and the MIT bag model for CFL quark matter.The results...In this paper,we study the third family of compact stars with the color-flavor locked(CFL)quark core.The relativistic mean field model is used for hadronic matter and the MIT bag model for CFL quark matter.The results of the calculation show a transitional behavior that goes from the hadron star range,through the transition range,into the CFL quark star range.In the transition range,the third family of compact stars with the CFL quark matter core is found in the wide range of the CFL energy gap 100MeV≤<150 MeV.By comparing with early investigations,we argue that the greatest possible third family of compact stars may be the hybrid stars with the CFL quark core.展开更多
自动驾驶汽车作为智能交通系统的重要组成部分,越来越受到研究者的重视。自动代客泊车技术(Auto valet parking)是高级别自动驾驶不可缺少的部分。代客泊车应用于非结构化环境,这使得研究者需要设计有别于结构化场景的规划算法来应对非...自动驾驶汽车作为智能交通系统的重要组成部分,越来越受到研究者的重视。自动代客泊车技术(Auto valet parking)是高级别自动驾驶不可缺少的部分。代客泊车应用于非结构化环境,这使得研究者需要设计有别于结构化场景的规划算法来应对非结构化环境的各种挑战,例如,道路线的缺失、周车预测的不确定性。考虑代客泊车的环境特点,提出基于改进混合A^(*)算法和时间弹性带算法的分层运动规划方法。通过修改碰撞检测过程,使得混合A^(*)算法可以实现交互行为。通过引入地图参考线代价,加快混合A^(*)算法搜索效率。改进后的混合A^(*)算法可以针对非结构化环境生成合理有效的初值轨迹。采用的时间弹性带算法执行效率高,有效解决了车辆运动学和障碍物约束问题,可以快速应对环境变化。在中国苏州的地下停车场开展实车试验。试验结果表明,提出的算法能够有效地解决常规场景下的车辆横向运动规划问题。展开更多
基金Supported by National Natural Science Foundation of China (1179008, 11003005)
文摘We have recently shown that, as a compact star containing mixed-phase matter slows down, the compression can cause deconfinement phase transition, and thus enhance the chemical deviations and raise the chemical heating eiYiciency. In a previous study, only the direct Urca processes in nucleon and quark matter were considered. In this work, we extend the previous analysis to the case where the much slower modified Urca processes operate in nucleon matter. We find a fast promotion in the surface effective temperature of hybrid stars, and that the cooling process is dominated by both the nucleon and quark channels.
基金supported by the National Natural Science Foundation of China(10675024,11075063,11265009)National Fund for Fostering Talents of Basic Science (J1103202)
文摘In this paper,we study the third family of compact stars with the color-flavor locked(CFL)quark core.The relativistic mean field model is used for hadronic matter and the MIT bag model for CFL quark matter.The results of the calculation show a transitional behavior that goes from the hadron star range,through the transition range,into the CFL quark star range.In the transition range,the third family of compact stars with the CFL quark matter core is found in the wide range of the CFL energy gap 100MeV≤<150 MeV.By comparing with early investigations,we argue that the greatest possible third family of compact stars may be the hybrid stars with the CFL quark core.
文摘利用强子物质的相对论平均场理论和夸克物质的有效质量口袋模型,研究流夸克质量的选取对混合星性质的影响.结果表明,随着流夸克质量的增大,强子-夸克相变使密度变大,超子种类变多,混合相区域的状态方程变硬,中子星的最大质量及半径变大.当奇异流夸克质量由90 MeV增到200 MeV时,混合星最大质量由1.4M⊙增至1.63M⊙(M⊙=1.99×1030kg为太阳质量),半径由10.24 km增至11.64 km.
文摘自动驾驶汽车作为智能交通系统的重要组成部分,越来越受到研究者的重视。自动代客泊车技术(Auto valet parking)是高级别自动驾驶不可缺少的部分。代客泊车应用于非结构化环境,这使得研究者需要设计有别于结构化场景的规划算法来应对非结构化环境的各种挑战,例如,道路线的缺失、周车预测的不确定性。考虑代客泊车的环境特点,提出基于改进混合A^(*)算法和时间弹性带算法的分层运动规划方法。通过修改碰撞检测过程,使得混合A^(*)算法可以实现交互行为。通过引入地图参考线代价,加快混合A^(*)算法搜索效率。改进后的混合A^(*)算法可以针对非结构化环境生成合理有效的初值轨迹。采用的时间弹性带算法执行效率高,有效解决了车辆运动学和障碍物约束问题,可以快速应对环境变化。在中国苏州的地下停车场开展实车试验。试验结果表明,提出的算法能够有效地解决常规场景下的车辆横向运动规划问题。
