IRAM observations in pre-star forming regions

The goal of the IRAM key-project ``Small-scale structure of pre-star forming regions'' is to map three nearby (d~150pc), quiescent molecular clouds with a high angular and spectral resolution to study the molecular cloud structure down to the smallest linear scales currently accessible by single dish radio telescopes. The key-project maps are available as data cubes (velocity, right ascension or galactic longitude, declination or galactic latitude) available as a set of 40 FITS files stored in the fits subdirectory; a summary of these 40 files is contained in the file "list.dat". The observations reported concern the molecular clouds L1512, L134A, and MCLD 123.5+24.9 in the Polaris Flare. The released data set of the IRAM key-project (Falgarone et al., 1998A&A...331..669F) are error beam corrected using the beam pattern parameters published by Garcia-Burillo, Guelin and Cernicharo (1993A&A...274..123G) and observations made with the KOSMA 3m telescope. Bensch et al. (2001A&A...365..275B) present the corrected maps using the 30m beam pattern recently published by Greve et al. (1998A&AS..133..271G). They estimate the accuracy of the maps of the key-project as 10-15% for the CO(2-1), except for two ^13^CO(2-1) maps of the MCLD 123.5+24.9/Polaris Flare and of L1512 where the uncertainties are estimated to 22% and 18% respectively. For the CO(1-0) data, the overall accuracy is 11%.

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Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/VIII/66
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/VIII/66
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=VIII/66
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/VIII/66
Provenance
Creator Falgarone E.; Panis J.-F.; Heithausen A.; Perault M.; Stutzki J.,Puget J.-L.; Bensch F.
Publisher CDS
Publication Year 2001
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Interstellar medium; Natural Sciences; Observational Astronomy; Physics