标题： 多暗物质数据库：鲍尔绍伊和多暗物质宇宙学模拟的发布 显示英文标题

标题： The MultiDark Database: Release of the Bolshoi and MultiDark Cosmological Simulations

摘要： 我们介绍了在线MultiDark数据库——一个面向虚拟天文台的、关系型数据库，用于托管各种宇宙学模拟。 数据可通过SQL（结构化查询语言）查询接口访问，这还允许用户直接提出科学问题，如本文中的多个示例所示。 该数据库的广泛在线文档（www.multidark.org）中提供了更多使用示例。 该数据库基于与Millennium数据库相同的技术，这一事实将大大促进两个宇宙学模拟套件的使用。 MultiDark数据库的首次发布托管了两个包含86亿粒子的宇宙学N体模拟：Bolshoi（250/h Mpc模拟箱，1/h kpc分辨率）和MultiDark Run1模拟（MDR1，或BigBolshoi，1000/h Mpc模拟箱，7/h kpc分辨率）。 从原始模拟数据中提取晕/子晕的方法，以及这些数据在数据库中的结构在本文中进行了说明。 在首次数据发布时，用户可完全访问晕/子晕目录、红移z=0-15时晕的各种轮廓，以及Bolshoi的一个时间步和MultiDark模拟的四个时间步的原始暗物质数据。 后续的发布还将包括星系模拟目录以及两种模拟的额外合并树，以及新的高分辨率大体积模拟。 该项目进一步证明了使用关系型数据库技术存储和展示复杂数据的可行性。 我们鼓励其他模拟器以类似方式发布他们的结果。 显示英文摘要

摘要： We present the online MultiDark Database -- a Virtual Observatory-oriented, relational database for hosting various cosmological simulations. The data is accessible via an SQL (Structured Query Language) query interface, which also allows users to directly pose scientific questions, as shown in a number of examples in this paper. Further examples for the usage of the database are given in its extensive online documentation (www.multidark.org). The database is based on the same technology as the Millennium Database, a fact that will greatly facilitate the usage of both suites of cosmological simulations. The first release of the MultiDark Database hosts two 8.6 billion particle cosmological N-body simulations: the Bolshoi (250/h Mpc simulation box, 1/h kpc resolution) and MultiDark Run1 simulation (MDR1, or BigBolshoi, 1000/h Mpc simulation box, 7/h kpc resolution). The extraction methods for halos/subhalos from the raw simulation data, and how this data is structured in the database are explained in this paper. With the first data release, users get full access to halo/subhalo catalogs, various profiles of the halos at redshifts z=0-15, and raw dark matter data for one time-step of the Bolshoi and four time-steps of the MultiDark simulation. Later releases will also include galaxy mock catalogs and additional merging trees for both simulations as well as new large volume simulations with high resolution. This project is further proof of the viability to store and present complex data using relational database technology. We encourage other simulators to publish their results in a similar manner.