Header

UZH-Logo

Maintenance Infos

Towards a more realistic sink particle algorithm for the RAMSES CODE


Bleuler, A; Teyssier, R (2014). Towards a more realistic sink particle algorithm for the RAMSES CODE. Monthly Notices of the Royal Astronomical Society, 445(4):4015-4036.

Abstract

We present a new sink particle algorithm developed for the adaptive mesh refinement code RAMSES. Our main addition is the use of a clump finder to identify density peaks and their associated regions (the peak patches). This allows us to unambiguously define a discrete set of dense molecular cores as potential sites for sink particle formation. Furthermore, we develop a new scheme to decide if the gas in which a sink could potentially form, is indeed gravitationally bound and rapidly collapsing. This is achieved using a general integral form of the virial theorem, where we use the curvature in the gravitational potential to correctly account for the background potential. We detail all the necessary steps to follow the evolution of sink particles in turbulent molecular cloud simulations, such as sink production, their trajectory integration, sink merging and finally the gas accretion rate on to an existing sink. We compare our new recipe for sink formation to other popular implementations. Statistical properties such as the sink mass function, the average sink mass and the sink multiplicity function are used to evaluate the impact that our new scheme has on accurately predicting fundamental quantities such as the stellar initial mass function or the stellar multiplicity function.

Abstract

We present a new sink particle algorithm developed for the adaptive mesh refinement code RAMSES. Our main addition is the use of a clump finder to identify density peaks and their associated regions (the peak patches). This allows us to unambiguously define a discrete set of dense molecular cores as potential sites for sink particle formation. Furthermore, we develop a new scheme to decide if the gas in which a sink could potentially form, is indeed gravitationally bound and rapidly collapsing. This is achieved using a general integral form of the virial theorem, where we use the curvature in the gravitational potential to correctly account for the background potential. We detail all the necessary steps to follow the evolution of sink particles in turbulent molecular cloud simulations, such as sink production, their trajectory integration, sink merging and finally the gas accretion rate on to an existing sink. We compare our new recipe for sink formation to other popular implementations. Statistical properties such as the sink mass function, the average sink mass and the sink multiplicity function are used to evaluate the impact that our new scheme has on accurately predicting fundamental quantities such as the stellar initial mass function or the stellar multiplicity function.

Statistics

Citations

Dimensions.ai Metrics
20 citations in Web of Science®
14 citations in Scopus®
21 citations in Microsoft Academic
Google Scholar™

Altmetrics

Downloads

63 downloads since deposited on 23 Feb 2015
29 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute for Computational Science
Dewey Decimal Classification:530 Physics
Date:2014
Deposited On:23 Feb 2015 14:03
Last Modified:14 Feb 2018 23:09
Publisher:Oxford University Press
ISSN:0035-8711
OA Status:Green
Publisher DOI:https://doi.org/10.1093/mnras/stu2005

Download

Download PDF  'Towards a more realistic sink particle algorithm for the RAMSES CODE'.
Preview
Filetype: PDF
Size: 7MB
View at publisher
Download PDF  'Towards a more realistic sink particle algorithm for the RAMSES CODE'.
Preview
Content: Published Version
Filetype: PDF
Size: 5MB
Filetype: Other (Coversheet Pages conversion from application/pdf to application/pdf)