Statistical Modeling of Accreting Object Populations

 
 

OVERVIEW

The accretion process constitutes a crucial phase in star and brown dwarf formation. Observational constraints on the relation between object mass and mass accretion rate show a scatter of ~5 orders of magnitude. It is not clear whether this scatter is due mostly to physical processes (e.g. accretion variability, age, varying accretion paradigms), or to systematic uncertainties arising from observational biases and inconsistencies in scaling relationships. Even more uncertainty is present in the substellar regime, where formation mechanisms are not yet fully understood and stellar derived relationships may not apply.

Simulation and statistical modeling are a key avenue to investigate and attempt to disentangle the physical and observational drivers of the scatterer in the mass-mass accretion relation. Some recent projects in this vein are described below:


PEOPLE


PAPERS & PRESENTATIONS

Simulated Scatter: A Monte Carlo Approach to Understanding the Observed (sub)Stellar Mass-Accretion Rate Relation

We report on the results of a Monte Carlo simulation that attempts to disentangle the effects of physical processes and systematic uncertainties on the scatter in the object mass-mass accretion rate relation. This is done by unifying assumptions and propagating interrelated uncertainties throughout the extrapolation pathway from observational diagnostic to mass accretion rate estimate.

 

Ongoing Work

Coming Soon!


 
 
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