SIMBAD references

2008MNRAS.388..898T - Mon. Not. R. Astron. Soc., 388, 898-912 (2008/August-1)

Molecular line profiles as diagnostics of protostellar collapse: modelling the `blue asymmetry' in inside-out infall.


Abstract (from CDS):

The evolution of star-forming core analogues undergoing inside-out collapse is studied with a multipoint chemodynamical model which self-consistently computes the abundance distribution of chemical species in the core. For several collapse periods the output chemistry of infalling tracer species such as HCO+, CS and N2H+ is then coupled to an accelerated Λ-iteration radiative transfer code, which predicts the emerging molecular line profiles using two different input gas/dust temperature distributions. We investigate the sensitivity of the predicted spectral line profiles and line asymmetry ratios to the core temperature distribution, the time-dependent model chemistry, as well as to ad hoc abundance distributions. The line asymmetry is found to be strongly dependent on the adopted chemical abundance distribution. In general, models with a warm central region show higher values of blue asymmetry in optically thick HCO+ and CS lines than models with a starless core temperature profile. We find that in the formal context of Shu-type inside-out infall, and in the absence of rotation or outflows, the relative blue asymmetry of certain HCO+ and CS transitions is a function of time and, subject to the foregoing caveats, can act as a collapse chronometer. The sensitivity of simulated HCO+ line profiles to linear radial variations, subsonic or supersonic, of the internal turbulence field is investigated in the separate case of static cores.

Abstract Copyright: © 2008 The Authors. Journal compilation © 2008 RAS

Journal keyword(s): line: profiles - radiative transfer - stars: formation - ISM: clouds - ISM: kinematics and dynamics - ISM: molecules

Simbad objects: 17

goto Full paper

goto View the reference in ADS

To bookmark this query, right click on this link: simbad:2008MNRAS.388..898T and select 'bookmark this link' or equivalent in the popup menu


© Université de Strasbourg/CNRS

    • Contact