English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

The JCMT Gould Belt Survey: SCUBA-2 Data Reduction Methods and Gaussian Source Recovery Analysis

MPS-Authors

Kirk,  Helen
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Hatchell,  Jennifer
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Johnstone,  Doug
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Berry,  David
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Jenness,  Tim
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Buckle,  Jane
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Mairs,  Steve
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Rosolowsky,  Erik
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Di Francesco,  James
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Sadavoy,  Sarah
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Currie,  Malcolm J.
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Broekhoven-Fiene,  Hannah
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Mottram,  Joseph C.
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Pattle,  Kate
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Matthews,  Brenda
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Knee,  Lewis B. G.
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Moriarty-Schieven,  Gerald
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Duarte-Cabral,  Ana
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Tisi,  Sam
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Ward-Thompson,  Derek
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

External Resource

https://ui.adsabs.harvard.edu/abs/2018ApJS..238....8K
(Any fulltext)

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Kirk, H., Hatchell, J., Johnstone, D., Berry, D., Jenness, T., Buckle, J., et al. (2018). The JCMT Gould Belt Survey: SCUBA-2 Data Reduction Methods and Gaussian Source Recovery Analysis. The Astrophysical Journal Supplement Series, 238.


Cite as: https://hdl.handle.net/21.11116/0000-0005-CCD0-A
Abstract
The James Clerk Maxwell Telescope (JCMT) Gould Belt Survey (GBS) was one of the first legacy surveys with the JCMT in Hawaii, mapping 47 deg2 of nearby (<500 pc) molecular clouds in dust continuum emission at 850 and 450 μm, as well as a more limited area in lines of various CO isotopologues. While molecular clouds and the material that forms stars have structures on many size scales, their larger-scale structures are difficult to observe reliably in the submillimeter regime using ground-based facilities. In this paper, we quantify the extent to which three subsequent data reduction methods employed by the JCMT GBS accurately recover emission structures of various size scales, in particular, dense cores, which are the focus of many GBS science goals. With our current best data reduction procedure, we expect to recover 100% of structures with Gaussian σ sizes of ≤30″ and intensity peaks of at least five times the local noise for isolated peaks of emission. The measured sizes and peak fluxes of these compact structures are reliable (within 15% of the input values), but source recovery and reliability both decrease significantly for larger emission structures and fainter peaks. Additional factors such as source crowding have not been tested in our analysis. The most recent JCMT GBS data release includes pointing corrections, and we demonstrate that these tend to decrease the sizes and increase the peak intensities of compact sources in our data set, mostly at a low level (several percent), but occasionally with notable improvement.