TY - CHAP
T1 - Abstracted Visualization of Halo Topologies in Dark Matter Simulations
AU - Schatz, Karsten
AU - Schneider, Jens
AU - Müller, Christoph
AU - Krone, Michael
AU - Reina, Guido
AU - Ertl, Thomas
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - This work focuses on particle-based ΛCDM (cold dark matter) simulations. The features of interest are clusters of dark matter particles, called halos. Halos are governed by the laws of motion and gravitation, and they may, consequently, merge over time. In this paper, we present visualization methods for the topology of the resulting tree-like accumulation history of the halos, as well as for the underlying halo data. We combine direct visualization methods of merger trees, in which trajectories over time are depicted in 3D space, with novel visual topological abstracts that are obtained by mapping time to one spatial axis while projecting halo positions on the remaining two axes. The user can explore and analyze both halos and merger trees through our unified visualization interface, which uses linked views complementing each other. All of our methods pay special attention to the periodic boundary conditions that are typically used during the underlying physical simulation.
AB - This work focuses on particle-based ΛCDM (cold dark matter) simulations. The features of interest are clusters of dark matter particles, called halos. Halos are governed by the laws of motion and gravitation, and they may, consequently, merge over time. In this paper, we present visualization methods for the topology of the resulting tree-like accumulation history of the halos, as well as for the underlying halo data. We combine direct visualization methods of merger trees, in which trajectories over time are depicted in 3D space, with novel visual topological abstracts that are obtained by mapping time to one spatial axis while projecting halo positions on the remaining two axes. The user can explore and analyze both halos and merger trees through our unified visualization interface, which uses linked views complementing each other. All of our methods pay special attention to the periodic boundary conditions that are typically used during the underlying physical simulation.
UR - http://www.scopus.com/inward/record.url?scp=85097824794&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-43036-8_8
DO - 10.1007/978-3-030-43036-8_8
M3 - Chapter
AN - SCOPUS:85097824794
T3 - Mathematics and Visualization
SP - 123
EP - 137
BT - Mathematics and Visualization
PB - Springer Science and Business Media Deutschland GmbH
ER -