The gbpTrees algorithm is designed to minimize cascading merger tree inconsistencies (or pathologies) that arrise due to errors or ambiguities in the halo finding process.
Matching is conducted using only radially sorted lists of particle IDs. Matches both forwards and backwards in time over a range of snapshots (for configuration-space halo finders: ideally ~16 separated over 2 dynamical times) used to correct for pathological cases.
An implementation of the algorithm is available as part of gbpCode, which can be downloaded here.
See the code paper or links to related papers given below for more details.
Selected Publications
Some highlighted publications involving gbpTrees:
This study presents the gbpTrees algorithm and uses it to condect a detailed convergence study of merger tree construction with a configuration space halo finder. Merger rates for friends-of-friends halos and substructures across nearly all observed galactic history are presented.
Click here to see the full paper on NASA ADS (if you do not have access to the journal, follow the arXiv link).
This study introduces the DRAGONS program and explores the timescales by which galaxies in the early Universe recover from collision events.
Click here to see the full paper on NASA ADS (if you do not have access to the journal, follow the arXiv link).
This study introduces the Meraxes semi-analytic model of galaxy formation and applies it to the Tiamat simulation suite.
Click here to see the full paper on NASA ADS (if you do not have access to the journal, follow the arXiv link).
Movie Gallery
The following movies depict the "fiducial" system discussed in Poole et al 2017:
A perspective rendering of the formation of a small galaxy cluster (final mass ~1014 solar masses) in the GiggleZ-HR simulation. This is the "fiducial" system described in the Poole et al. 2017 merger tree paper. Colours encode local velocity dispersion. Luminance encodes logarithmic column density.
A perspective rendering of the formation of a small galaxy cluster (final mass ~1014 solar masses) in the GiggleZ-HR simul ation with the particles belonging to 4 individual systems marked with colour. This is the "fiducial" system described in the Poole et al. 2017 merger tree paper. Colours depict the particles belonging to 4 separate substructures, as identified by Subfind. Luminance encodes logarithmic column density.
This study presents the gbpTrees algorithm and uses it to condect a detailed convergence study of merger tree construction with a configuration space halo finder. Merger rates for friends-of-friends halos and substructures across nearly all observed galactic history are presented.
Click here to see the full paper on NASA ADS (if you do not have access to the journal, follow the arXiv link).