ALMACAL XII. Data characterisation and products

Victoria Bollo, Martin Zwaan, Celine Peroux, Aleksandra Hamanowicz, Jianhang Chen, Simon Weng, Rob J. Ivison, Andrew Biggs
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Abstract

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.
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ALMACAL XII.数据特征和产品
ALMACAL 勘测基于一个适合科学分析的 ALMA 校准扫描再处理数据库,该数据库是定期 PI 观测的一部分。我们展示了从 ALMA 开始运行到 2022 年 5 月期间积累的所有数据,这些数据来自横跨 ALMA 频段 3 到 10(~ 84 - 950 GHz)的南部天空的 1047 个定标场,即 ALMACAL-22。ALMACAL 不仅是迄今为止最大的 ALMA 勘测之一,而且随着每一次新的科学观测而持续增长。我们概述了处理最高质量数据子集("剪枝样本")并对其成像的方法。利用可见度数据(紫外平面)的解卷积技术,我们创建了数据立方体,作为进一步科学分析的最终产品。我们描述了 ALMACAL 的特性和不足,并将其面积和灵敏度与其他亚毫米巡天进行了比较。值得注意的是,ALMACAL 克服了以往亚毫米巡天的局限性,如天空覆盖范围小和宇宙方差的影响。此外,我们还讨论了该数据集最新版本所带来的改进,这些改进将增强我们对尘埃星形成星系、银河系外吸收线、活动星系核物理学以及最终对分子气体演化的理解。
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