| 1. | Bnl british nuclear laboratories
英国核实验室 |
| 2. | Bnl back neckline
后领圈线 |
| 3. | For the bnl / ags fixed target experiments , baryon - rich region had been created but no direct evidences for qgp formation were found
对gs堆nl能区的同定靶实验，末态具有丰重子数特性，但还没有qgp形成的直接证据。 |
| 4. | Ags / bnl and rhic / bnl . this thesis is focused on the study of strangeness production in heavy - ion collisions via luciae model and the j . / polarization at rhic
本论文的主要研究方向分为两个部分，一是sps能区奇异产生的luciae模拟研究，一是rhic能区j /极化的phenix实验研究。 |
| 5. | From the sps / cern experiments at the end of last century and the rhic / bnl experiments at the begining of this century we can see the complexity to explore qgp
上世纪末在sps cern上所做的一系列实验，以及本世纪初rhic bnl的一系列实验，充分显示了探测夸克胶子等离子体的复杂性。 |
| 6. | The results are helpful for the long - term stable operation of magnets in bepc . above of all , the temperature distribution along the scq magnets has been numerically simulated by computational flow dynamic software fluent
本文首先用计算流体力学软件fluent数值模拟scq磁体低温恒温器的温度分布情况,得到该磁体的热负荷,计算结果得到美国bnl国家实验室提供数据的验证。 |
| 7. | The layout of cooling pipe was determined according to the above results . the magnetic force produced by ssm magnet on the anti - solenoid of scq magnet was calculated , which is in good agreement with that by bnl and ihep . the magnetic flux was
应用ansys模拟了scq磁体中的反螺线管线圈在ssm磁体中的受力情况,计算的磁场力得到美国bnl实验室计算结果以及中科院高能所( ihep )采用opera - 2d程序计算结果的验证。 |
| 8. | The operation and first collisions of au nuclei in the relativistic heavy ion collider ( rhic ) at brookhaven national laboratory ( bnl ) during year 2000 began a new era in the study of nuclear matter at high energy density and the search of quark - gluon plasma ( qgp )
原子核又是由核子通过强相互作用而结合在一起的。强相互作用的基本理论，量子色动力学( qcd ) ，指出所有参与强相互作用的基本粒子都是夸克( q )及反夸克( ( ? ) )的束缚态。 |
| 9. | Data mining is a collection of engineering methods proposed for solving large practical problems of machine learning , pattern recognition , database technology etc . the purpose of data mining is to discover the implicit knowledge or rule , and to help human expert to make decision . frequent pattern mining ( fpm ) and bayesian network learning ( bnl ) are two useful technologies of data mining
数据挖掘技术是解决机器学习、模式识别、数据库技术等各种领域中的大型实际应用问题而提出的一些工程性方法的集合，主要是为了从大型数据库中高效地发现隐含在其中的知识或规律，并为人类专家的决策提供支持。 |
