Schmidt's Conjecture and Star Formation in Molecular Clouds

Charles Lada, Marco Lombardi, Carlos Roman-Zuniga, Jan Forbrich, Joao Alves

Research output: Contribution to journalArticlepeer-review

72 Citations (Scopus)
76 Downloads (Pure)

Abstract

We investigate Schmidt's conjecture (i.e., that the star formation rate scales in a power-law fashion with the gas density) for four well-studied local molecular clouds (GMCs). Using the Bayesian methodology we show that a local Schmidt scaling relation of the form Sigma*(A_K) = kappa x (A_K)^{beta} (protostars pc^{-2}) exists within (but not between) GMCs. Further we find that the Schmidt scaling law, by itself, does not provide an adequate description of star formation activity in GMCs. Because the total number of protostars produced by a cloud is given by the product of Sigma*(A_K) and S'(> A_K), the differential surface area distribution function, integrated over the entire cloud, the cloud's structure plays a fundamental role in setting the level of its star formation activity. For clouds with similar functional forms of Sigma*(A_K), observed differences in their total SFRs are primarily due to the differences in S'(> A_K) between the clouds. The coupling of Sigma*(A_K) with the measured S'(> A_K) in these clouds also produces a steep jump in the SFR and protostellar production above A_K ~ 0.8 magnitudes. Finally, we show that there is no global Schmidt law that relates the star formation rate and gas mass surface densities between GMCs. Consequently, the observed Kennicutt-Schmidt scaling relation for disk galaxies is likely an artifact of unresolved measurements of GMCs and not a result of any underlying physical law of star formation characterizing the molecular gas.
Original languageEnglish
Number of pages14
JournalThe Astrophysical Journal
Volume778
Issue number2
DOIs
Publication statusPublished - 12 Nov 2013

Keywords

  • astro-ph.GA

Fingerprint

Dive into the research topics of 'Schmidt's Conjecture and Star Formation in Molecular Clouds'. Together they form a unique fingerprint.

Cite this