Issue |
A&A
Volume 644, December 2020
|
|
---|---|---|
Article Number | A42 | |
Number of page(s) | 30 | |
Section | Interstellar and circumstellar matter | |
DOI | https://doi.org/10.1051/0004-6361/201936111 | |
Published online | 27 November 2020 |
Galactic cirri in deep optical imaging
1
Instituto de Astrofísica de Canarias,
c/ Vía Láctea s/n,
38205,
La Laguna,
Tenerife, Spain
e-mail: jromanastro@gmail.com
2
Departamento de Astrofísica, Universidad de La Laguna,
38206,
La Laguna,
Tenerife, Spain
3
Instituto de Astrofísica de Andalucía (CSIC),
Glorieta de la Astronomía,
18008
Granada, Spain
4
School of Physics, University of New South Wales,
Sydney,
NSW 2052, Australia
Received:
14
June
2019
Accepted:
22
October
2020
The ubiquitous presence of Galactic cirri in deep optical images represents a major obstacle to study the low surface brightness features of extragalactic sources. To address this issue, we have explored the optical properties of cirri using g, r, i, and z bands in the Sloan Digital Sky Survey (SDSS) Stripe82 region. Using state-of-the-art, custom made, image processing techniques, including the modeling and removal of the instrumental scattered light produced by the stars, we managed to isolate the optical diffuse emission by the cirri, allowing their photometric characterization. We find that their optical colors are driven by the dust column density: The cirri become redder as their 100 μm emission increases. Remarkably, the optical colors of the Galactic cirri differ significantly from those of extragalactic sources, with a characteristic bluer r-i color for a given g-r, allowing one to detect these by using a simple color relation. Our results show the high potential of deep multi-band optical photometry, on its own, identifying the presence of cirri at a higher spatial resolution than those provided by far-infrared observations. The combination of very deep data and multi-band photometry (as the one produced by LSST and Euclid) would make it possible to build dust maps of unprecedented quality.
Key words: ISM: clouds / dust, extinction / techniques: image processing / techniques: photometric
© ESO 2020
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.