Ha-excess sources spectroscopic follow-up

State-of-the-art techniques to identify Ha emission line sources in narrow- band photometric surveys consist of searching for Ha excess with reference to nearby objects in the sky (position-based selection). However, while this approach usually yields very few spurious detections, it may fail to select intrinsically faint and/or rare Ha-excess sources. In order to obtain a more complete representation of the heterogeneous emission line populations, we recently developed a technique to find outliers relative to nearby objects in the colour-magnitude diagram (CMD-based selection). By combining position -based and CMD-based selections, we built an updated catalogue of Ha-excess candidates in the northern Galactic Plane. Here we present spectroscopic follow-up observations and classification of 114 objects from this catalogue, that enable us to test our novel selection method. Out of the 70 spectroscopically confirmed Ha emitters in our sample, 15 were identified only by the CMD-based selection, and would have been thus missed by the classic position-based technique. In addition, we explore the distribution of our spectroscopically confirmed emitters in the Gaia CMD. This information can support the classification of emission line sources in large surveys, such as the upcoming WEAVE and 4MOST, especially if augmented with the introduction of other colours.

Cone search capability for table J/MNRAS/518/3301/sources (List of sources)

Associated data

Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/MNRAS/518/3301
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/518/3301
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/518/3301
Related Identifier https://cdsarc.cds.unistra.fr/assocdata/?obs_collection=J/MNRAS/518/3301
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/MNRAS/518/3301
Provenance
Creator Fratta M.; Scaringi S.; Monguio M.; Pala A.F.; Drew J.E.; Knigge C.,Ilkiewicz K.A.; Gandhi P.
Publisher CDS
Publication Year 2022
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Interdisciplinary Astronomy; Natural Sciences; Observational Astronomy; Physics; Stellar Astronomy