Victoria Bollo, Martin Zwaan, Celine Peroux, Aleksandra Hamanowicz, Jianhang Chen, Simon Weng, Rob J. Ivison, Andrew Biggs
{"title":"ALMACAL XII. Data characterisation and products","authors":"Victoria Bollo, Martin Zwaan, Celine Peroux, Aleksandra Hamanowicz, Jianhang Chen, Simon Weng, Rob J. Ivison, Andrew Biggs","doi":"arxiv-2409.07166","DOIUrl":null,"url":null,"abstract":"The ALMACAL survey is based on a database of reprocessed ALMA calibration\nscans suitable for scientific analysis, observed as part of regular PI\nobservations. We present all the data accumulated from the start of ALMA\noperations until May 2022 for 1047 calibrator fields across the southern sky\nspanning ALMA Bands 3 to 10 (~ 84 - 950 GHz), so-called ALMACAL-22.\nEncompassing over 1000 square arcmin and accumulating over 2000 hours of\nintegration time, ALMACAL is not only one of the largest ALMA surveys to date,\nbut it continues to grow with each new scientific observation. We outline the\nmethods for processing and imaging a subset of the highest-quality data\n('pruned sample'). Using deconvolution techniques within the visibility data\n(uv plane), we created data cubes as the final product for further scientific\nanalysis. We describe the properties and shortcomings of ALMACAL and compare\nits area and sensitivity with other sub-millimetre surveys. Notably, ALMACAL\novercomes limitations of previous sub-millimetre surveys, such as small sky\ncoverage and the effects of cosmic variance. Moreover, we discuss the\nimprovements introduced by the latest version of this dataset that will enhance\nour understanding of dusty star-forming galaxies, extragalactic absorption\nlines, active galactic nucleus physics, and ultimately the evolution of\nmolecular gas.","PeriodicalId":501163,"journal":{"name":"arXiv - PHYS - Instrumentation and Methods for Astrophysics","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Instrumentation and Methods for Astrophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.