Sussing Merger Trees: A proposed Merger Tree data format
Peter A. Thomas, Julian Onions, Dylan Tweed, Andrew J. Benson, and Darren Croton, Pascal Elahi, Bruno Henriques, Ilian T. Iliev and, Alexander Knebe, Hanni Lux, Yao-Yuan Mao, Mark Neyrinck, Frazer, R. Pearce, Vicente Rodriguez-Gomez, Aurel Schneider, Chaichalit, Srisawat
TL;DR
This paper introduces a standardized data format in HDF5 for describing both temporal and spatial structures of dark-matter halos, facilitating consistent data sharing and analysis.
Contribution
It proposes a unified terminology and data format for dark-matter halo merger and structure trees, with example routines in multiple programming languages.
Findings
Defined a common terminology for merger and structure trees
Specified a unified HDF5 data format
Provided example I/O routines in C, FORTRAN, and PYTHON
Abstract
We propose a common terminology for use in describing both temporal merger trees and spatial structure trees for dark-matter halos. We specify a unified data format in HDF5 and provide example I/O routines in C, FORTRAN and PYTHON.
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Taxonomy
TopicsAstronomy and Astrophysical Research · Advanced Data Storage Technologies · Distributed and Parallel Computing Systems