Uncertainties and biases of source masses derived from fits of integrated fluxes or image intensities
arXiv:1606.04159 · doi:10.1051/0004-6361/201628122
Abstract
Fitting spectral distributions of total fluxes or image intensities are two standard methods for estimating the masses of starless cores and protostellar envelopes. These mass estimates, which are the main source and basis of our knowledge of the origin and evolution of self-gravitating cores and protostars, are uncertain. In this model-based study, a grid of radiative transfer models of starless cores and protostellar envelopes was computed and their total fluxes and image intensities were fitted to derive the model masses. To investigate intrinsic effects related to the physical objects, all observational complications were explicitly ignored. Known true values of the numerical models allow us to assess the qualities of the methods and fitting models, as well as the effects of nonuniform temperatures, far-infrared opacity slope, selected subsets of wavelengths, background subtraction, and angular resolutions. The method of fitting image intensities gives more accurate masses for more resolved objects than the method of fitting total fluxes. With the latter, a fitting model that assumes optically thin emission gives much better results than the one allowing substantial optical depths. Temperature excesses within the objects above the mass-averaged values skew their spectral shapes towards shorter wavelengths, leading to masses underestimated typically by factors 2-5. With a fixed opacity slope deviating from the true value by a factor of 1.2, derived masses are inaccurate within a factor of 2. The most accurate masses of the models are estimated by fitting just two or three longest-wavelength fluxes. Conventional algorithm of background subtraction is a likely source of large systematic errors. The absolute values of masses of the unresolved or poorly resolved objects in star-forming regions are uncertain to within at least a factor of 2-3.
arXiv comment25 pages, 17 figures (main text + 5 appendices), accepted by Astronomy & Astrophysics; v2 language polished
References in corpus (15)
- Herschel Space Observatory - An ESA facility for far-infrared and submillimetre astronomy
- Tracing the Mass during Low-Mass Star Formation. II. Modelling the Submillimeter Emission from Pre-Protostellar Cores
- Filamentary structures and compact objects in the Aquila and Polaris clouds observed by Herschel
- The Effect of Line of Sight Temperature Variation and Noise on Dust Continuum Observations
- A census of dense cores in the Aquila cloud complex: SPIRE/PACS observations from the Herschel Gould Belt survey
- A multi-scale, multi-wavelength source extraction method: getsources
- Reconstructing the density and temperature structure of prestellar cores from data: A case study for B68 and L1689B
- The Effect of Noise on the Dust Temperature - Spectral Index Correlation
- Dust SEDs in the era of Herschel and Planck: a Hierarchical Bayesian fitting technique
- A multi-scale filament extraction method: getfilaments
- Time Dependence of the Ultraviolet Radiation Field in the Local Interstellar Medium
- MC3D - 3D Continuum Radiative Transfer, Version 2
- Accuracy of core mass estimates in simulated observations of dust emission
- The effect of temperature mixing on the observable (T,beta)-relation of interstellar dust clouds
- Radiative transfer models of non-spherical prestellar cores
Cited by in corpus (15)
- Multiscale, multiwavelength extraction of sources and filaments using separation of the structural components: getsf
- A catalogue of dense cores and young stellar objects in the Lupus complex based on Herschel Gould Belt Survey observations
- From the CMF to the IMF: Beyond the Core-Collapse Model
- Fragmentation of star-forming filaments in the X-shape Nebula of the California molecular cloud
- Dust spectrum and polarisation at 850 um in the massive IRDC G035.39-00.33
- Herschel observations of the Galactic HII region RCW 79
- Strong dependence of the physical properties of cores on spatial resolution in observations and simulations
- Galactic cold cores IX. Column density structures and radiative transfer modelling
- Background derivation and image flattening: getimages
- ALMA-IMF XVI: Mass-averaged temperature of cores and protostellar luminosities in the ALMA-IMF protoclusters
- Will ALMA Reveal the True Core Mass Function of Protoclusters?
- Properties of the dense cores and filamentary structures in the Vela C molecular cloud
- Modelling of dust emission of a filament in the Taurus molecular cloud
- Scale-dependent surface and volume density properties of filaments in molecular clouds
- Cloud G074.11+00.11: a stellar cluster in formation