Results of the summarizing process for the arXiv paper: 1910.12872v1

The Atacama Large Millimeter/submillimeter Array (ALMA) archive contains a wealth of information on (sub)millimeter dust continuum emission from distant galaxies. However, the data is inhomogeneous and difficult to use for studies of galaxy evolution. To address this issue, researchers have developed automated mining pipelines for the ALMA archive in the COSMOS field (A3COSMOS). These pipelines exploit available information for large numbers of galaxies across cosmic time and keep data products in sync with the increasing public ALMA archive. The pipelines include a dedicated ALMA continuum imaging pipeline, two complementary photometry pipelines for blind source extraction and prior source fitting, a counterpart association pipeline utilizing multiwavelength data, an assessment of potential (sub)millimeter line contribution to measured ALMA continuum, and extensive simulations to provide statistical corrections to biases and uncertainties in ALMA continuum measurements. Application of these tools yields photometry catalogs with approximately 1000 (sub)millimeter detections from over 1500 individual ALMA continuum images. Combined with ancillary photometric and redshift catalogs and quality assessments based on machine-learning techniques, researchers provide robust information on redshift, stellar mass, and star formation rate for approximately 700 galaxies at redshifts 0.5-6 in the COSMOS field. The resulting ALMA photometric measurements and galaxy properties are released publicly within blind extraction, prior fitting, and galaxy property catalogs along with images. These products will be updated regularly in the future to ensure ongoing access to valuable insights into galaxy evolution by making previously difficult-to-use data more accessible to researchers studying distant galaxies.

• The ALMA archive contains information on (sub)millimeter dust continuum emission from distant galaxies
• The data is inhomogeneous and difficult to use for studies of galaxy evolution
• Researchers have developed automated mining pipelines for the ALMA archive in the COSMOS field (A3COSMOS)
• These pipelines exploit available information for large numbers of galaxies across cosmic time and keep data products in sync with the increasing public ALMA archive
• The pipelines include a dedicated ALMA continuum imaging pipeline, two complementary photometry pipelines for blind source extraction and prior source fitting, a counterpart association pipeline utilizing multiwavelength data, an assessment of potential (sub)millimeter line contribution to measured ALMA continuum, and extensive simulations to provide statistical corrections to biases and uncertainties in ALMA continuum measurements
• Application of these tools yields photometry catalogs with approximately 1000 (sub)millimeter detections from over 1500 individual ALMA continuum images
• Researchers provide robust information on redshift, stellar mass, and star formation rate for approximately 700 galaxies at redshifts 0.5-6 in the COSMOS field
• The resulting ALMA photometric measurements and galaxy properties are released publicly within blind extraction, prior fitting, and galaxy property catalogs along with images
• These products will be updated regularly in the future to ensure ongoing access to valuable insights into galaxy evolution by making previously difficult-to-use data more accessible to researchers studying distant galaxies.

Exploring the ALMA Archive for Insights into Galaxy Evolution

The Atacama Large Millimeter/submillimeter Array (ALMA) is a powerful telescope that provides astronomers with an unprecedented view of distant galaxies. With its ability to detect millimeter and submillimeter dust continuum emission, it has become an invaluable tool for studying galaxy evolution across cosmic time. However, the data from ALMA can be difficult to use due to its inhomogeneity. To address this issue, researchers have developed automated mining pipelines in the COSMOS field (A3COSMOS) that make it easier to access and analyze this valuable information.

Automated Mining Pipelines

The automated mining pipelines developed by researchers are designed to exploit available information from large numbers of galaxies across cosmic time while keeping data products in sync with the public ALMA archive. The pipelines include:

• Continuum Imaging Pipeline: This pipeline is dedicated to imaging ALMA continuum.
• Photometry Pipelines: Two complementary photometry pipelines are used for blind source extraction and prior source fitting.
• Counterpart Association Pipeline: This pipeline utilizes multiwavelength data for counterpart association.
• (Sub)Millimeter Line Contribution Assessment: .
• .

When applied, these tools yield photometric catalogs containing approximately 1000 (sub)millimeter detections from over 1500 individual images. Ancillary photometric and redshift catalogs along with quality assessments based on machine-learning techniques are also included, providing robust information on redshift, stellar mass, star formation rate for approximately 700 galaxies at redshifts 0.5-6 in the COSMOS field. All resulting products – including images, blind extraction catalogs, prior fitting catalogs and galaxy property catalogs – have been released publicly so that researchers can easily access valuable insights into galaxy evolution without having to deal with complex datasets themselves. These products will be updated regularly as new data becomes available so that they remain up-to-date with current research findings about distant galaxies.

>By developing automated mining pipelines specifically tailored towards exploring the ALMA archive for insights into galaxy evolution, researchers have made previously difficult-to-use data more accessible than ever before. This has allowed them to compile extensive datasets consisting of detailed information about hundreds of distant galaxies which can then be used by other scientists studying galactic evolution across cosmic time without having to manually process complex datasets themselves..