下一代蒙太奇图像拼接工具包
The Next Generation of the Montage Image Mosaic Toolkit
摘要：
科学计算领域在过去几年中发生了巨大的变化，组织和存储数据的新方案反映了天文数据集规模和复杂性的增长。为了应对这种不断变化的环境，我们将在未来两年部署下一代Montage工具包（[ascl：1010.036]）。第一个版本（2015年10月）支持多维数据集（“数据立方体”），并插入XMP/AVM标签，允许图像“插入”到WWT。同一个版本提供了基于Web的交互式图像可视化的beta版本;这包括Python中的可视化包装器。后续版本将支持HEALPix（现在是宇宙背景实验的标准）;将Montage合并到包管理器中（实现软件构建的自动化管理），并支持一个库，使Montage能够直接从Python调用。这个下一代工具包将继承当前基于引擎组件的工具的架构优势，ANSI-C跨Unix平台的可移植性和分布式处理的可扩展性。随着正在开发的扩展功能，Montage不仅可以被视为一个马赛克引擎，而且可以被视为一个可扩展的便携式工具包，用于管理，组织和处理图像。
英文摘要：
The scientific computing landscape has evolved dramatically in the past few years, with new schemes for organizing and storing data that reflect the growth in size and complexity of astronomical data sets. In response to this changing landscape, we are, over the next two years, deploying the next generation of the Montage toolkit ([ascl:1010.036]). The first release (October 2015) supports multi-dimensional data sets ("data cubes"), and insertion of XMP/AVM tags that allows images to "drop-in" to the WWT. The same release offers a beta-version of web-based interactive visualization of images; this includes wrappers for visualization in Python. Subsequent releases will support HEALPix (now standard in cosmic background experiments); incorporation of Montage into package managers (which enable automated management of software builds), and support for a library that will enable Montage to be called directly from Python. This next generation toolkit will inherit the architectural benefits of the current engine - component based tools, ANSI-C portability across Unix platforms and scalability for distributed processing. With the expanded functionality under development, Montage can be viewed not simply as a mosaic engine, but as a scalable, portable toolkit for managing, organizing and processing images.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
