ALMACAL XII. 数据表征与产品
ALMACAL XII. Data characterisation and products
AI总结：
本研究发布了ALMACAL巡天截至2022年5月的ALMACAL-22数据集，介绍了数据处理方法与产品，对比显示其克服了以往亚毫米波巡天的局限，将助力多个天体物理方向的研究。
摘要：
ALMACAL巡天基于一套经重处理的ALMA校准扫描数据库，这些数据是常规PI（首席研究员）观测的一部分，可用于科学分析。我们展示了自ALMA投入运行至2022年5月积累的全部数据，覆盖南天1047个校准源场，横跨ALMA第3至第10波段（约84-950 GHz），即所谓的ALMACAL-22。ALMACAL覆盖面积超1000平方角分，累计积分时间超2000小时，不仅是迄今规模最大的ALMA巡天项目之一，还会随着每次新的科学观测持续扩充数据量。我们概述了对最高质量数据子集（“修剪样本”）进行处理和成像的方法，通过在可见度数据（uv平面）中运用去卷积技术，生成了数据立方体作为最终产品，可供后续科学分析使用。我们描述了ALMACAL的特性与不足，并将其覆盖面积和灵敏度与其他亚毫米波巡天项目进行了对比。值得注意的是，ALMACAL克服了以往亚毫米波巡天的局限，比如天区覆盖范围小、宇宙方差效应显著等问题。此外，我们还讨论了最新版数据集带来的改进，这些改进将深化我们对尘埃恒星形成星系、河外吸收线、活动星系核物理机制，以及最终分子气体演化的理解。
英文摘要：
The ALMACAL survey is based on a database of reprocessed ALMA calibration scans suitable for scientific analysis, observed as part of regular PI observations. We present all the data accumulated from the start of ALMA operations until May 2022 for 1047 calibrator fields across the southern sky spanning ALMA Bands 3 to 10 (~ 84 - 950 GHz), so-called ALMACAL-22. Encompassing over 1000 square arcmin and accumulating over 2000 hours of integration time, ALMACAL is not only one of the largest ALMA surveys to date, but it continues to grow with each new scientific observation. We outline the methods for processing and imaging a subset of the highest-quality data ('pruned sample'). Using deconvolution techniques within the visibility data (uv plane), we created data cubes as the final product for further scientific analysis. We describe the properties and shortcomings of ALMACAL and compare its area and sensitivity with other sub-millimetre surveys. Notably, ALMACAL overcomes limitations of previous sub-millimetre surveys, such as small sky coverage and the effects of cosmic variance. Moreover, we discuss the improvements introduced by the latest version of this dataset that will enhance our understanding of dusty star-forming galaxies, extragalactic absorption lines, active galactic nucleus physics, and ultimately the evolution of molecular gas.
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。
