We present a new distance estimation method for dust-continuum-identified molecular cloud clumps. Recent (sub-)millimeter Galactic plane surveys have cataloged tens of thousands of these objects, plausible precursors to stellar clusters, but detailed study of their physical properties requires robust distance determinations. We derive Bayesian distance probability density functions (DPDFs) for 770 objects from the Bolocam Galactic Plane Survey in the Galactic longitude range 7 degrees.5 <= l <= 65 degrees.. The DPDF formalism is based on kinematic distances, and uses any number of external data sets to place prior distance probabilities to resolve the kinematic distance ambiguity (KDA) for objects in the inner Galaxy. We present here priors...
Context. Infrared dark clouds (IRDCs) harbor progenitors of high-mass stars. Little is known of the ...
We present the results of observations of 1882 sources in the Bolocam Galactic Plane Survey (BGPS) a...
We use the distance probability density function formalism of Ellsworth-Bowers et al. to derive phys...
We present a new distance estimation method for dust-continuum-identified molecular cloud clumps. Re...
We present an expanded distance catalog for 1710 molecular cloud structures identified in the Boloca...
Using molecular-line data from the Millimetre Astronomy Legacy Team 90 GHz Survey (MALT90), we have ...
Kinematic distances to 750 molecular clouds identified in the [superscript 13]CO J = 1 → 0 Boston Un...
Using molecular-line data from the Millimetre Astronomy Legacy Team 90 GHz Survey (MALT90), we have ...
The Milky Way Galaxy serves as a vast laboratory for studying the dynamics and evolution of the dens...
We present an expanded distance catalog for 1,710 molecular cloud structures identified in the Boloc...
Context. The formation of high mass stars and clusters occurs in giant molecular clouds. Objects in ...
Artículo de publicación ISIContext. The formation of high mass stars and clusters occurs in giant mo...
We present 107 maps of continuum emission at 350 mu m from Galactic molecular clumps. Observed sourc...
Context. Infrared dark clouds (IRDCs) harbor progenitors of high-mass stars. Little is known of the ...
Machine learning has been successfully applied in varied field but whether it is a viable tool for d...
Context. Infrared dark clouds (IRDCs) harbor progenitors of high-mass stars. Little is known of the ...
We present the results of observations of 1882 sources in the Bolocam Galactic Plane Survey (BGPS) a...
We use the distance probability density function formalism of Ellsworth-Bowers et al. to derive phys...
We present a new distance estimation method for dust-continuum-identified molecular cloud clumps. Re...
We present an expanded distance catalog for 1710 molecular cloud structures identified in the Boloca...
Using molecular-line data from the Millimetre Astronomy Legacy Team 90 GHz Survey (MALT90), we have ...
Kinematic distances to 750 molecular clouds identified in the [superscript 13]CO J = 1 → 0 Boston Un...
Using molecular-line data from the Millimetre Astronomy Legacy Team 90 GHz Survey (MALT90), we have ...
The Milky Way Galaxy serves as a vast laboratory for studying the dynamics and evolution of the dens...
We present an expanded distance catalog for 1,710 molecular cloud structures identified in the Boloc...
Context. The formation of high mass stars and clusters occurs in giant molecular clouds. Objects in ...
Artículo de publicación ISIContext. The formation of high mass stars and clusters occurs in giant mo...
We present 107 maps of continuum emission at 350 mu m from Galactic molecular clumps. Observed sourc...
Context. Infrared dark clouds (IRDCs) harbor progenitors of high-mass stars. Little is known of the ...
Machine learning has been successfully applied in varied field but whether it is a viable tool for d...
Context. Infrared dark clouds (IRDCs) harbor progenitors of high-mass stars. Little is known of the ...
We present the results of observations of 1882 sources in the Bolocam Galactic Plane Survey (BGPS) a...
We use the distance probability density function formalism of Ellsworth-Bowers et al. to derive phys...