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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18439
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dc.contributor.authorVaidya, Kaushar-
dc.date.accessioned2025-03-20T09:25:46Z-
dc.date.available2025-03-20T09:25:46Z-
dc.date.issued2021-
dc.identifier.urihttps://ui.adsabs.harvard.edu/abs/2024yCat..75051607B/abstract-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18439-
dc.description.abstractAgarwal et al. (2021MNRAS.502.2582A) using Gaia DR2 (2018A&A...616A...1G, Cat. I/345) data with their novel machine learning membership determination algorithm found hints of tidal tails in NGC 752. Also, Hu et al. (2021ApJ...912....5H, Cat. J/ApJ/912/5) also identify the elongated morphology of the peripheral regions of NGC 752 from the Gaia DR2 data using the members identified by Cantat-Gaudin et al. (2018A&A...618A..93C, Cat. J/A+A/618/A93). As the first step, we do a membership selection in NGC 752 from the Gaia EDR3 (2021A&A...649A...1G, Cat. I/350) data set is carried out in a region of radius 5 degrees around its centre. This sample is termed All sources. We use ML-MOC (Agarwal et al. 2021MNRAS.502.2582A) to identify cluster members using the proper motion and parallax information. It identifies cluster members in the PM-ω parameter space, independent of the spatial density of the cluster, thereby allowing for the identification of faint extended spatial structures such as tidal tailsen_US
dc.language.isoenen_US
dc.publisherVizieRen_US
dc.subjectPhysicsen_US
dc.subjectClusters: openen_US
dc.subjectMilky Wayen_US
dc.subjectParallaxes: trigonometricen_US
dc.subjectPhotometry: G banden_US
dc.subjectUltravioleten_US
dc.titleVizier online data catalog: tidal tails in the open cluster ngc 752en_US
dc.typeArticleen_US
Appears in Collections:Department of Physics

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