High-resolution Hα imaging of the northern Galactic plane and the IGAPS image database

Greimel, R.; Drew, J. E.; Monguió, M.; Ashley, R. P.; Barentsen, G.; Eislöffel, J.; Mampaso, A.; Morris, R. A. H.; Naylor, T.; Roe, C.; Sabin, L.; Stecklum, B.; Wright, N. J.; Groot, P. J.; Irwin, M. J.; Barlow, M. J.; Fariña, C.; Fernández-Martín, A.; Parker, Q. A.; Phillipps, S.; Scaringi, S.; Zijlstra, A. A.
Bibliographical reference

Astronomy and Astrophysics

Advertised on:
11
2021
Number of authors
22
IAC number of authors
3
Citations
10
Refereed citations
9
Description
The INT Galactic Plane Survey (IGAPS) is the merger of the optical photometric surveys IPHAS and UVEX based on data from the Isaac Newton Telescope (INT) obtained between 2003 and 2018. It captures the entire northern Galactic plane within the Galactic coordinate range |b|< 5° and 30° < ℓ < 215°. From the beginning, the incorporation of narrow-band Hα imaging has been a unique and distinctive feature of this effort. Alongside a focused discussion of the nature and application of the Hα data, we present the IGAPS world-accessible database of images for all five survey filters, i, r, g, URGO, and narrow-band Hα, observed on a pixel scale of 0.33 arcsec and at an effective (median) angular resolution of 1.1−1.3 arcsec. The background, noise, and sensitivity characteristics of the narrow-band Hα filter images are outlined. Typical noise levels in this band correspond to a surface brightness at full ∼1 arcsec resolution of around 2 × 10−16 erg cm−2 s−1 arcsec−2. Illustrative applications of the Hα data to planetary nebulae and Herbig-Haro objects are outlined and, as part of a discussion of the mosaicking technique, we present a very large background-subtracted narrow-band mosaic of the supernova remnant Simeis 147. Finally, we lay out a method that exploits the database via an automated selection of bright ionised diffuse interstellar emission targets for the coming generation of wide-field massive-multiplex spectrographs. Two examples of the diffuse Hα map output from this selection process are presented and compared with previously published data.
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