ALMA Pipeline Heuristics

ALMA Pipeline Heuristics
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ALMA 管道启发法

DOI：
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发表时间：
2006
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通讯作者：
F. Boone
F. Boone
中科院分区：
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文献类型：
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作者：
J. Lightfoot;F. Wyrowski;D. Muders;F. Boone

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J. LightfootU.K.A.T.C.，布莱克福德山，爱丁堡 EH9 3HJ，U.K.F. Wyrowski，D. Muders，F. BooneMax-Planck-Institut fur Ra​​dioastronomie，Auf dem Hugel 69，D-53121波恩，德国L。 Davis, D. ShepherdNRAO，阵列运营中心，P.O.信箱 0, 1003 Lopezville Rd.,Socorro, NM 87801-0387C。威尔逊物理和天文学系，麦克马斯特大学，汉密尔顿，安大略省，加拿大摘要。正在开发 ALMA（阿塔卡马大型毫米波阵列）PipelineHeuristics 系统，以自动减少使用标准观测模式获取的数据。目标是让 ALMA 对非射电干涉测量专家的天文学家来说更加友好。管道启发式系统必须捕获提供无需进一步处理即可使用的数据产品所需的专业知识。系统要处理的观测模式包括单场干涉测量、马赛克和单盘“即时”地图以及这些模式的组合。数据将由主 ALMA 阵列、ALMA 紧凑阵列 (ACA) 和单碟天线产生。Pipeline Heuristics 系统正在开发为一组 Python 脚本。对于干涉测量，它们使用 CASA/AIPS++ 库作为数据处理引擎，并将其绑定为 ALMA 通用软件 (ACS) 中的 CORBA 对象。初始开发使用 VLA 和 Plateau de Bure 数据集来构建和测试能够减少单场数据的启发式脚本。在本文中，我们描述了缩减数据路径和每个阶段使用的算法。给出了测试结果。概述了未来的发展路径。简介任务 Pipeline Heuristics 团队的目标是开发算法，减少 ALMA 数据，自动给出可发布质量的结果。315
J. LightfootU.K.A.T.C., Blackford Hill, Edinburgh EH9 3HJ, U.K.F. Wyrowski, D. Muders, F. BooneMax-Planck-Institut f¨ur Radioastronomie, Auf dem Hugel¨ 69, D-53121Bonn, GermanyL. Davis, D. ShepherdNRAO, Array Operations Center, P.O. Box 0, 1003 Lopezville Rd.,Socorro, NM 87801-0387C. WilsonDepartment of Physics and Astronomy, McMaster University,Hamilton, Ontario, CanadaAbstract. The ALMA (Atacama Large Millimeter Array) PipelineHeuristics system is being developed to automatically reduce data takenwith the standard observing modes. The goal is to make ALMA user-friendly to astronomers who are not experts in radio interferometry. ThePipeline Heuristics system must capture the expert knowledge requiredto provide data products that can be used without further processing.Observing modes to be processed by the system include single field in-terferometry, mosaics and single dish ‘on-the-fly’ maps, and combinationsof these modes. The data will be produced by the main ALMA array, theALMA Compact Array (ACA) and single dish antennas.The Pipeline Heuristics system is being developed as a set of Pythonscripts. For interferometry these use as data processing engines theCASA/AIPS++ libraries and their bindings as CORBA objects withinthe ALMA Common Software (ACS).Initial development has used VLA and Plateau de Bure data sets tobuild and test a heuristic script capable of reducing single field data. Inthis paper we describe the reduction datapath and the algorithms used ateach stage. Test results are presented. The path for future developmentis outlined.IntroductionThe Mission The goal of the Pipeline Heuristics team is to develop algorithmsthat will reduce ALMA data to give results of publishable quality automati-cally.315