Gaia colour-magnitude diagrams of young open clusters: Identification in the UBC catalogue and a comparison of manual and automated analysis

Automated analysis of Gaia astrometric data has led to the discovery of many new high-quality open cluster candidates. With a good determination of their parameters, these objects become excellent tools to investigate the properties of our Galaxy. We explore whether young open clusters can be readil...

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Published inarXiv.org
Main Authors Negueruela, Ignacio, Abel de Burgos
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 01.03.2023
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Abstract Automated analysis of Gaia astrometric data has led to the discovery of many new high-quality open cluster candidates. With a good determination of their parameters, these objects become excellent tools to investigate the properties of our Galaxy. We explore whether young open clusters can be readily identified from Gaia data alone by studying the properties of their Gaia colour-magnitude diagrams. We also want to compare the results of a traditional cluster analysis with those of automated methods. We selected three young open cluster candidates from the UBC catalogue, ranging from a well-populated object with a well-defined sequence to a poorly-populated, poorly-defined candidate. We obtained classification spectra for the brightest stars in each. We redetermined members based on EDR3 data and fitted isochrones to derive age, distance and reddening. All three candidates are real clusters with age below 100 Ma. UBC103 is a moderately populous cluster, with an age around 70 Ma. At a distance of \(\sim\) 3 kpc, it forms a binary cluster with the nearby NGC6683. UBC114 is a relatively nearby (\(\sim1.5\)kpc) poorly-populated cluster containing two early-B stars. UBC587 is a dispersed, very young (\(<\) 10 Ma) cluster located at \(\sim3\) kpc, behind the Cygnus~X region, and may be a valuable tracer of the Orion arm. The OCfinder methodology for the identification of new open clusters is extremely successful, with even poor candidates resulting in interesting detections. The presence of an almost vertical photometric sequence in the Gaia colour-magnitude diagram is a safe way to identify young open clusters. Automated methods for the determination of cluster properties give approximate solutions, but are still subject to some difficulties. There is some evidence suggesting that artificial intelligence systems may systematically underestimate extinction, which may impact in the age determination.
AbstractList Automated analysis of Gaia astrometric data has led to the discovery of many new high-quality open cluster candidates. With a good determination of their parameters, these objects become excellent tools to investigate the properties of our Galaxy. We explore whether young open clusters can be readily identified from Gaia data alone by studying the properties of their Gaia colour-magnitude diagrams. We also want to compare the results of a traditional cluster analysis with those of automated methods. We selected three young open cluster candidates from the UBC catalogue, ranging from a well-populated object with a well-defined sequence to a poorly-populated, poorly-defined candidate. We obtained classification spectra for the brightest stars in each. We redetermined members based on EDR3 data and fitted isochrones to derive age, distance and reddening. All three candidates are real clusters with age below 100 Ma. UBC103 is a moderately populous cluster, with an age around 70 Ma. At a distance of \(\sim\) 3 kpc, it forms a binary cluster with the nearby NGC6683. UBC114 is a relatively nearby (\(\sim1.5\)kpc) poorly-populated cluster containing two early-B stars. UBC587 is a dispersed, very young (\(<\) 10 Ma) cluster located at \(\sim3\) kpc, behind the Cygnus~X region, and may be a valuable tracer of the Orion arm. The OCfinder methodology for the identification of new open clusters is extremely successful, with even poor candidates resulting in interesting detections. The presence of an almost vertical photometric sequence in the Gaia colour-magnitude diagram is a safe way to identify young open clusters. Automated methods for the determination of cluster properties give approximate solutions, but are still subject to some difficulties. There is some evidence suggesting that artificial intelligence systems may systematically underestimate extinction, which may impact in the age determination.
A&A 675, A19 (2023) Automated analysis of Gaia astrometric data has led to the discovery of many new high-quality open cluster candidates. With a good determination of their parameters, these objects become excellent tools to investigate the properties of our Galaxy. We explore whether young open clusters can be readily identified from Gaia data alone by studying the properties of their Gaia colour-magnitude diagrams. We also want to compare the results of a traditional cluster analysis with those of automated methods. We selected three young open cluster candidates from the UBC catalogue, ranging from a well-populated object with a well-defined sequence to a poorly-populated, poorly-defined candidate. We obtained classification spectra for the brightest stars in each. We redetermined members based on EDR3 data and fitted isochrones to derive age, distance and reddening. All three candidates are real clusters with age below 100 Ma. UBC103 is a moderately populous cluster, with an age around 70 Ma. At a distance of $\sim$ 3 kpc, it forms a binary cluster with the nearby NGC6683. UBC114 is a relatively nearby ($\sim1.5$kpc) poorly-populated cluster containing two early-B stars. UBC587 is a dispersed, very young ($<$ 10 Ma) cluster located at $\sim3$ kpc, behind the Cygnus~X region, and may be a valuable tracer of the Orion arm. The OCfinder methodology for the identification of new open clusters is extremely successful, with even poor candidates resulting in interesting detections. The presence of an almost vertical photometric sequence in the Gaia colour-magnitude diagram is a safe way to identify young open clusters. Automated methods for the determination of cluster properties give approximate solutions, but are still subject to some difficulties. There is some evidence suggesting that artificial intelligence systems may systematically underestimate extinction, which may impact in the age determination.
Author Abel de Burgos
Negueruela, Ignacio
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https://doi.org/10.48550/arXiv.2303.00467$$DView paper in arXiv
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Snippet Automated analysis of Gaia astrometric data has led to the discovery of many new high-quality open cluster candidates. With a good determination of their...
A&A 675, A19 (2023) Automated analysis of Gaia astrometric data has led to the discovery of many new high-quality open cluster candidates. With a good...
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SubjectTerms Artificial intelligence
Automation
B stars
Candidates
Chronology
Cluster analysis
Color
Galactic structure
Open clusters
Physics - Instrumentation and Methods for Astrophysics
Physics - Solar and Stellar Astrophysics
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Title Gaia colour-magnitude diagrams of young open clusters: Identification in the UBC catalogue and a comparison of manual and automated analysis
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