First Data Release of the ESO-ARO Public Survey SAMPLING—SMT "All-sky" Mapping of Planck Interstellar Nebulae in the Galaxy

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Published January 2018 © 2018. The American Astronomical Society. All rights reserved.
, , Citation Ke Wang et al 2018 Res. Notes AAS 2 2 DOI 10.3847/2515-5172/aaa4c2

2515-5172/2/1/2

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1. Introduction

In the last decades, a large effort has been made to characterize properties of star formation regions in the Galaxy through observations in both dust continuum and spectral lines. However, most of the previous studies have concentrated on the inner Galactic plane. Consequently, our knowledge of star formation in the outer Galaxy and high latitudes is so far only scarcely constrained. This lack of knowledge has posed a long-standing important question: how does star formation (or even cloud evolution) depend on the Galactic environment (metalicity, pressure, turbulence, shearing, etc.)? The recently released Planck Catalog of Galactic Cold Clumps (PGCCs, Planck Collaboration 2016) provides the first unbiased all-sky catalog of intrinsically cold clumps with a resolution of $\sim 5^{\prime} $ (Figure 1). Many PGCC sources, especially those outside the Galactic plane, are new and have never been explored before.

Figure 1.

Figure 1. Left: All-sky distribution of the PGCC sources (13188, blue), with estimated distance (4655, yellow), and mapped by Purple Mountain Observatory 14 m telescope (618, red) in 12CO/13CO/C18O (1–0). The red coded sources are targets for the SAMPLING survey in 12CO/13CO (2–1) with SMT. Right: 13CO (2–1) cube of an example SAMPLING source. The 3D view shows R.A., decl., and velocity axes, with blue-/redshifted radial velocity color coded in blue/red. The cube reveals multiple radial filaments feeding the central, star-forming hub (J. Harju et al. 2018, in preparation).

Standard image High-resolution image

2. The Sampling Survey

SAMPLING, the Submillimeter Telescope (SMT) "All-sky" Mapping of PLanck Interstellar Nebulae in the Galaxy,16 is an ongoing ESO-ARO Public Spectroscopic Survey17 aiming to obtain 12CO and 13CO (2–1) spectral-imaging of about 600 highly reliable PGCCs, using the 10 m Heinrich Hertz SMT of Arizona Radio Observatory (ARO). The sources were selected from an earlier release of PGCCs with high signal-to-noise ratios and low dust temperature (${T}_{\mathrm{dust}}\lt 14$ K, Planck Collaboration 2011), and have been detected in 13CO (1–0) (Figure 1; Wu et al. 2012).

SAMPLING has been awarded 618 hr of SMT time over 3 years (2015–2018). Observations with the SMT are being conducted in on-the-fly mode with over Nyquist sampling, usually on a $5^{\prime} \times 5^{\prime} $ area for each source. The data is calibrated in GILDAS18 after flagging bad channels. The final data cubes are in units of main beam brightness temperature ${T}_{\mathrm{mb}}$ (therefore directly comparable to other observations and simulations), adopting a main beam efficiency of 0.7. The cubes are gridded in $8^{\prime\prime} $ pixels, with an effective resolution of $36^{\prime\prime} $. The channel width is 0.33 km s−1 and the rms noise is required to be ${T}_{\mathrm{mb}}\lt 0.2$ K in order to pass our data quality assurance.

3. Data Release

Here, we make the first data release (DR1)19 of the SAMPLING survey. DR1 comprises of 124 fields distributed in $70^\circ \lt l\lt 216^\circ $, $-35^\circ \lt b\lt 25^\circ $, observed from 2015 November 27 to 2016 February 23 and from 2016 December 3 to 24. We provide FITS cubes, source list, and sky coverage. Figure 1 right panel shows an example source demonstrating the potential of the data.

The SAMPLING data resolves dense molecular clouds and enables revealing of clump structure, turbulence, kinematics, and star formation (e.g., high-velocity outflows). Most of the SAMPLING sources have never been explored at sub-clump resolution. Once completed, SAMPLING and complementary surveys (e.g., Liu et al. 2017) will initiate the first major step forward to characterize molecular clouds and star formation on truly Galactic scales.

The community is encouraged to download and use the data following the standard acknowledgments in the DR1 link. Collaboration with the SAMPLING team is particularly encouraged. Several papers have made use of the SAMPLING data (Juvela et al. 2017; Liu et al. 2017; Yuan et al. 2017). It is worth noting that, the data is not only useful for Galactic star formation; for example, it can be used to evaluate the "contamination" of Galactic CO emission, when concerned (Khatri 2016). We plan to release the full data in 2018 along with a more detailed paper, when all the data has been taken.

The data presented in this paper are based on the ESO-ARO programme ID 196.C-0999(A).

Facility: SMT - .

Footnotes

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10.3847/2515-5172/aaa4c2