New galactic open cluster candidates from DSS and 2MASS imagery

Kronberger, M.; Teutsch, P.; Alessi, B. S.; Steine, M.; Ferrero, L. V.; Graczewski, K.; Juchert, M.; Patchick, D.; Riddle, D.; Saloranta, J.; Schoenball, Martin; Watson, C.

doi:10.1051/0004-6361:20054057

Cited by 128 publications

(142 citation statements)

References 36 publications

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“…Robitaille et al (2008), Evans et al (2009), andGutermuth et al (2010) used Spitzer data to classify > 13 × 10 3 YSOs. Borissova et al (2011) discovered 96 candidate clusters 2 in the VVV survey (Minniti et al 2010), while Mercer et al (2005) identified 92 star clusters via GLIMPSE data (see also Froebrich et al 2007;Kronberger et al 2006). Those infrared surveys resolved numerous individual cluster stars, and in many instances confirmed existing evidence of star formation put forth by low-resolution surveys (e.g., IRAS and maser observations, Avedisova 2002).…”

Section: Introductionmentioning

confidence: 66%

Discovering protostars and their host clusters via WISE

Majaess¹

2012

Astrophys Space Sci

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A hybrid JHK s − W 1 W 2 W 3 W 4 high-spectral index (α) selection scheme was employed to identify (sub)clusters of class I/f candidate protostars (YSOs) in WISE observations (the Wide-Field Infrared Survey Explorer). n > 10 4 candidate YSOs were detected owing to WISE's advantageous all-sky spatial coverage, and a subsample (n ∼ 200) of their heavily-obscured host (sub)clusters were correlated with the Avedisova (2002) and Dias et al. (2002) catalogs of star-forming regions. Forthcoming observations from the VVV/UKIDSS surveys shall facilitate the detection of additional protostars and bolster efforts to delineate the Galactic plane, since the campaigns aim to secure deep JHK s photometry for a pertinent fraction of the WISE targets lacking 2MASS detections, and to provide improved data for YSOs near the limits of the 2MASS survey.

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Section: Introductionmentioning

confidence: 66%

Discovering protostars and their host clusters via WISE

Majaess¹

2012

Astrophys Space Sci

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“…IPHASXJ194040.3+293010. Classified as a possible PN by Roman et al (2000) and as a PN by Kronberger et al (2006) but no spectroscopic confirmation is available and hardly visible in the IPHAS continuum filters. Possibly a round PN.…”

Section: Candidates Classified In Simbadmentioning

confidence: 99%

“…IPHASXJ194226.1+214522. Classified as a possible PN (Kronberger et al 2006) but no spectroscopic confirmation is available. Possibly a bipolar/quadrupolar PN.…”

Section: Candidates Classified In Simbadmentioning

confidence: 99%

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Candidate planetary nebulae in the IPHAS photometric catalogue

Viironen¹,

Greimel

Corradi³

et al. 2009

A&A

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Context. We have carried out a semi-automated search for planetary nebulae (PNe) in the INT photometric H-alpha survey (IPHAS) catalogue. We present the PN search and the list of selected candidates. We cross correlate the selected candidates with a number of existing infrared galactic surveys in order to gain further insight into the nature of the candidates. Spectroscopy of a subset of objects is used to estimate the number of PNe present in the entire candidate list. Aims. The overall aim of the IPHAS PN project is to carry out a deep census of PNe in the northern Galactic plane, an area where PN detections are clearly lacking. Methods. The PN search is carried out on the IPHAS photometric catalogue. The candidate selection is based on the IPHAS and 2MASS/UKIDSS colours of the objects and the final candidate selection is made visually. Results. From the original list of ∼600 million IPHAS detections we have selected a total of 1005 objects. Of these, 224 are known objects, leaving us with 781 PN candidates. Based on the initial follow-up spectroscopy, we expect the list to include very young and proto-PNe in addition to genuine, normal PNe (∼16%) and emission line objects other than PNe. We present additional criteria to select the most probable PN candidates from our candidate list.

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“…The first consists of targeted searches around known IR and radio sources, or in areas of interest (e.g., the Galactic bulge or known nearby star-forming regions; i.e., Dutra & Bica 2000; Kronberger et al 2006). The second is unbiased: it is based on automated techniques that apply sets of objective rules to identify overdensities in flux or stellar surface-number density in the pixel data or in the point-source catalogs, respectively.…”

Section: Introductionmentioning

confidence: 99%

Infrared surveys of Galactic star clusters

Ivanov¹,

Messineo²,

Zhu³

et al. 2009

Proc. IAU

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Abstract. Many attempts have been made to carry out a complete observational census of Milky Way star clusters based on recent near-and mid-infrared surveys. However, more clusters are still being discovered, indicating that existing catalogs are incomplete. We attempt to estimate the total number of supermassive (SM; M cl 10 4 M ) clusters in the Galaxy, and to improve the yield from the automated cluster searches. Assuming that the 'local' census of SM clusters is complete, and that their surface density accross the disk follows that of the stars, we predict that the Milky Way contains 81 ± 21 SM clusters. We apply a cluster-detection algorithm to the 2mass Point Source Catalog after a preliminary color and/or magnitude selection of the point sources to improves the surface-density cluster-to-field contrast. Our algorithm identified 94 new candidates, and re-identified 34 known clusters. During the visual inspection, we detected an additional 41 new candidates, and re-identified 32 known objects. Preliminary characterization suggests that the new list may contain red-supergiant, open and globular clusters.

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New galactic open cluster candidates from DSS and 2MASS imagery

Cited by 128 publications

References 36 publications

Discovering protostars and their host clusters via WISE

Discovering protostars and their host clusters via WISE

Candidate planetary nebulae in the IPHAS photometric catalogue

Infrared surveys of Galactic star clusters

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