A survey of 20 dense clumps in five massive star-forming regions finds a strong mass-size correlation, weak dynamical correlations, and hints that magnetic fields around 1 mG help stabilize the most massive clumps.
pyspeckit: A spectroscopic analysis and plotting package
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
pyspeckit is a toolkit and library for spectroscopic analysis in Python. We describe the pyspeckit package and highlight some of its capabilities, such as interactively fitting a model to data, akin to the historically widely-used splot function in IRAF. pyspeckit employs the Levenberg-Marquardt optimization method via the mpfit and lmfit implementations, and important assumptions regarding error estimation are described here. Wrappers to use pymc and emcee as optimizers are provided. A parallelized wrapper to fit lines in spectral cubes is included. As part of the astropy affiliated package ecosystem, pyspeckit is open source and open development and welcomes input and collaboration from the community.
citation-role summary
other 1
citation-polarity summary
fields
astro-ph.GA 1years
2024 1verdicts
CONDITIONAL 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
Study of the physical and chemical properties of dense clumps at different evolutionary stages in several regions of massive star and stellar cluster formation
A survey of 20 dense clumps in five massive star-forming regions finds a strong mass-size correlation, weak dynamical correlations, and hints that magnetic fields around 1 mG help stabilize the most massive clumps.