Measuring the Clump Mass Function in the Age of SCUBA2, Herschel, and ALMA
M. A. Reid, J. Wadsley, N. Petitclerc, A. Sills

TL;DR
This study investigates how image resolution, noise, and filtering affect the derived clump mass function in star-forming regions, revealing that these factors bias the function toward a lognormal shape similar to the stellar initial mass function.
Contribution
The paper demonstrates that observational limitations bias the clump mass function, complicating efforts to accurately measure the true mass distribution of star-forming clumps.
Findings
Clump mass function remains similar to the stellar initial mass function despite image degradation.
Noise and spatial filtering bias the mass function toward a lognormal form.
The characteristic mass scale scales with angular resolution, affecting star formation efficiency estimates.
Abstract
We use simulated images of star-forming regions to explore the effects of various image acquisition techniques on the derived clump mass function. In particular, we focus on the effects of finite image angular resolution, the presence of noise, and spatial filtering. We find that, even when the image has been so heavily degraded with added noise and lowered angular resolution that the clumps it contains clearly no longer correspond to pre-stellar cores, still the clump mass function is typically consistent with the stellar initial mass function within their mutual uncertainties. We explain this result by suggesting that noise, source blending, and spatial filtering all randomly perturb the clump masses, biasing the mass function toward a lognormal form whose high-mass end mimics a Salpeter power law. We argue that this is a consequence of the central limit theorem and that it strongly…
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