Obit: A Development Environment for Astronomical Algorithms
Obit: A Development Environment for Astronomical Algorithms
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DOI：
10.1086/586754
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发表时间：
2008-03
影响因子：
3.5
通讯作者：
W. D. Cotton
中科院分区：
文献类型：
--
作者：
W. D. Cotton
Obit是一个天文学算法的开发环境。它实现了多种“原生”数据格式，包括FITS和AIPS。AIPS的共享数据模型意味着几乎完全的互操作性，允许在生产环境中进行算法开发。Obit包支持预打包的编译任务和主要类功能的python接口，以允许使用python脚本进行快速原型设计。开发的功能主要是射电天文学，但对天文图像和表格的支持是通用的，应允许更广泛的应用。该设计旨在易于扩展。给出了一个例子，探讨了“清洁偏差”的VLA低频巡天的效果，并比较其方法的清洁自动清洁窗口选择方案，应减少偏差。这项技术显示出减少这种系统性影响的希望。
Obit is a development environment for astronomical algorithms. It implements multiple “native” data formats including FITS and AIPS. The shared data model with AIPS means almost complete interoperability, allowing algorithmic development in a production environment. The Obit package supports both prepackaged, compiled tasks and a python interface to the major class functionality to allow rapid prototyping using python scripts. Developed features are predominantly radio astronomical, but support for astronomical images and tables is generic and should allow a wider range of applications. The design is intended to be readily extensible. An example is given that explores the effect of “CLEAN bias” in the VLA Low-Frequency Sky Survey and compares its method of CLEAN to an automated CLEAN window selection scheme that should reduce the bias. This technique shows much promise for reducing this systematic effect.