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JOR15 - MALT-45: a 7 mm survey of the southern Galaxy - I. Techniques and spectral line data
Short title
: Jordan et al. (2015)
Authors
: Jordan, Christopher H. Walsh, Andrew J. Lowe, Vicki Voronkov, Maxim A. Ellingsen, Simon P. Breen, Shari L. Purcell, Cormac R. Barnes, Peter J. Burton, Michael G. Cunningham, Maria R. Hill, Tracey Jackson, James M. Longmore, Steven N. Peretto, Nicolas Urquhart, James S.
Journal
: Monthly Notices of the Royal Astronomical Society, Volume 448, Issue 3, p.2344-2361
Bibcode
:
2015MNRAS.448.2344J
PDF
:
JOR15.pdf
Target type
: Blind
Transitions
: SiO_1-0v1,SiO_1-0v2,SiO_1-0v3,SiO_1-0v0,CH3OH_25-30_GHz(I),CH3OH_36(I),CH3OH_44(I),CH3OH_84(I),CH3OH_95(I),CH3OH_6(II),CH3OH_37(II),CH3OH_38(II)
Abstract
We present the first results from the MALT-45 (Millimetre Astronomer's Legacy Team-45 GHz) Galactic Plane survey. We have observed 5 square degrees (l = 330°-335°, b = ±0.5°) for spectral lines in the 7 mm band (42-44 and 48-49 GHz), including CS (1-0), class I CH
3
OH masers in the 7(0,7)-6(1,6) A
+
transition and SiO (1-0) v = 0, 1, 2, 3. MALT-45 is the first unbiased, large-scale, sensitive spectral line survey in this frequency range. In this paper, we present data from the survey as well as a few intriguing results rigorous analyses of these science cases are reserved for future publications. Across the survey region, we detected 77 class I CH
3
OH masers, of which 58 are new detections, along with many sites of thermal and maser SiO emission and thermal CS. We found that 35 class I CH
3
OH masers were associated with the published locations of class II CH
3
OH, H
2
O and OH masers but 42 have no known masers within 60 arcsec. We compared the MALT-45 CS with NH
3
(1,1) to reveal regions of CS depletion and high opacity, as well as evolved star-forming regions with a high ratio of CS to NH
3
. All SiO masers are new detections, and appear to be associated with evolved stars from the Spitzer Galactic Legacy Infrared Mid-Plane Survey Extraordinaire (GLIMPSE). Generally, within SiO regions of multiple vibrational modes, the intensity decreases as v = 1, 2, 3, but there are a few exceptions where v = 2 is stronger than v = 1. eprintid:
arXiv:1501.06650
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IRAS source
IRAS coordinates (RA, Dec)
IRAS source distance (arcsec)
IRAS flux density (F12,F25,F60,F100)
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2MASS coordinates (RA, Dec)
2MASS source distance (arcsec)
2MASS magnituted (J,H,K)
GCVS source
GCVS coordinates (RA, Dec)
GCVS source distance (arcsec)
GCVS parameters
WISE source
WISE coordinates (RA, Dec)
WISE source distance (arcsec)
WISE magnitudes (w1, w2, w3, w4)
Akari IRC source
Akari IRC coordinates (RA, Dec)
Akari IRC source distance (arcsec)
Akari IRC fluxes (S09, S18)
Akari FIS source
Akari FIS coordinates (RA, Dec)
Akari FIS source distance (arcsec)
Akari FIS fluxes (S65, S90, S140, S160)
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Continuum coordinates (RA, Dec)
Continuum source distance (arcsec)
Continuum parameters
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select MAX(h2o_data.ra_hms) as ra_hms,MAX(h2o_data.dec_dms) as dec_dms,MAX(h2o_data.source_name) as source_name,MAX(h2o_data.ra) as ra,MAX(h2o_data.dec) as dec,MAX(h2o_data.l) as l,MAX(h2o_data.b) as b,MAX(h2o_data.grp) as grp,MAX(h2o_data.other_name) as other_name,MAX(h2o_data.other_desc) as other_desc,BOOL_OR(thermal) as thermal,MAX(h2o_data.line) as line,MAX(h2o_data.vrange) as vrange,MAX(h2o_data.vpeak) as vpeak,MAX(h2o_data.peak) as peak,MAX(h2o_data.fwhm) as fwhm,MAX(h2o_data.int) as int,MAX(h2o_data.rms) as rms,MAX(h2o_data.units) as units,MAX(h2o_data.units_rms) as units_rms,MAX(h2o_data.date_txt) as date_txt,MAX(h2o_data.telescope_ref) as telescope_ref,MAX(h2o_data.beam) as beam,MAX(h2o_data.beam_maj) as beam_maj,MAX(h2o_data.beam_min) as beam_min,MAX(h2o_data.beam_pa) as beam_pa,MAX(h2o_data.ref) as ref,MAX(h2o_data.list_ref) as list_ref,MAX(h2o_data.ascii) as ascii,MAX(h2o_data.image) as image,MAX(h2o_data.descr) as descr,MAX(h2o_data.id) as id,BOOL_OR(mjy_flag) as mjy_flag,BOOL_OR(rms_mjy_flag) as rms_mjy_flag,MAX(h2o_data.dist) as dist,MAX(h2o_data.date_txt) as date_txt,MAX(line_det) as line_det FROM h2o_data LEFT JOIN all_objects_withmet ON h2o_data.grp=all_objects_withmet.group_name WHERE ref ilike 'JOR15' AND detected=true AND hide=false GROUP BY ref
select h2o_data.ra_hms,h2o_data.dec_dms,h2o_data.source_name,h2o_data.ra,h2o_data.dec,h2o_data.l,h2o_data.b,h2o_data.grp,h2o_data.other_name,h2o_data.other_desc,h2o_data.thermal,h2o_data.line,h2o_data.vrange,h2o_data.vpeak,h2o_data.peak,h2o_data.fwhm,h2o_data.int,h2o_data.rms,h2o_data.units,h2o_data.units_rms,h2o_data.date_txt,h2o_data.telescope_ref,h2o_data.beam,h2o_data.beam_maj,h2o_data.beam_min,h2o_data.beam_pa,h2o_data.ref,h2o_data.list_ref,h2o_data.ascii,h2o_data.image,h2o_data.descr,h2o_data.id,h2o_data.mjy_flag,h2o_data.rms_mjy_flag,h2o_data.dist,h2o_data.date_txt,line_det FROM h2o_data LEFT JOIN all_objects_withmet ON h2o_data.grp=all_objects_withmet.group_name WHERE ref ilike 'JOR15' AND detected=true AND hide=false ORDER BY detected DESC,id
