An overview of issues and lessons learnt working with the ACES ALMA Large Program

The ALMA Cycle 8 large project ACES (ALMA Central Molecular Zone Exploration Survey) aims to map the entire Centre of the Milky Way with unprecedented spatial dynamic range in a number of lines and continuum in ALMA Band 3. The final cubes produced as part of this project will contain over 5,000 individual ALMA pointings, or around 500,000 individual beams, across more than 15,000 channels (equating to terabytes in size per cube). These data are extraordinary at present, but they may become somewhat routine after the ALMA Wideband Sensitivity Upgrade. During this talk, I will give a brief introduction to the large program and then discuss the issues we have encountered, along with lessons learnt, during the reduction and analysis of this dataset.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-04
DOI
https://doi.org/10.5281/zenodo.13681430
Primary Topic
Collagen: Extraction and Characterization
Type
article
Field-Weighted Citation Impact
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article

An overview of issues and lessons learnt working with the ACES ALMA Large Program

Zenodo (CERN European Organization for Nuclear Research)
Collagen: Extraction and Characterization
article

An overview of issues and lessons learnt working with the ACES ALMA Large Program

article en

Abstract

The ALMA Cycle 8 large project ACES (ALMA Central Molecular Zone Exploration Survey) aims to map the entire Centre of the Milky Way with unprecedented spatial dynamic range in a number of lines and continuum in ALMA Band 3. The final cubes produced as part of this project will contain over 5,000 individual ALMA pointings, or around 500,000 individual beams, across more than 15,000 channels (equating to terabytes in size per cube). These data are extraordinary at present, but they may become somewhat routine after the ALMA Wideband Sensitivity Upgrade. During this talk, I will give a brief introduction to the large program and then discuss the issues we have encountered, along with lessons learnt, during the reduction and analysis of this dataset.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 70%
Collagen: Extraction and Characterization
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