Abstract
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.
| Original language | English |
|---|---|
| Article number | A49 |
| Number of pages | 21 |
| Journal | Astronomy & Astrophysics |
| Volume | 655 |
| DOIs | |
| Publication status | Published - 1 Nov 2021 |
Keywords
- surveys
- astronomical databases: miscellaneous
- ISM: general
- HII regions
- planetary nebulae: general
- ISM: supernova remnants
Fingerprint
Dive into the research topics of 'High-resolution Hα imaging of the northern Galactic plane and the IGAPS image database'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver