Reconstructing orbits of galaxies in extreme regions (roger v2.0): an extension to intermediate mass systems
Abstract
In this paper, we present an updated version of the roger code, called roger v2.0, developed to perform the orbital classification of galaxies residing in and around galaxy groups and clusters. In addition to the projected phase-space coordinates, the new version incorporates the host halo mass as an additional input parameter. Although the inclusion of the halo mass leads to only modest changes in the classification, it contributes to improving the overall robustness of the method. We also extend the range of host halo masses over which roger can be applied, enabling the analysis of systems with masses down to 1013.5 h−1 M⊙. We further provide a Python implementation of the new code, which will be made publicly available. This implementation enables users to efficiently and robustly classify arbitrary galaxy samples using either version of the method. Moreover, it allows users to train a customized classifier on an alternative training set, providing the flexibility to adapt the method to different datasets and scientific applications.
Versions
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BibTeX
@misc{rios2026reconstructing,
title = {{Reconstructing orbits of galaxies in extreme regions (roger v2.0): an extension to intermediate mass systems}},
author = {Martín de los Rios and Héctor J. Martínez and Andrés N. Ruiz and Selene Levis and Valeria Coenda and Hernán Muriel},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2608.19429},
eprint = {2608.19429},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2608.19429},
}
RIS
TY - UNPB
TI - Reconstructing orbits of galaxies in extreme regions (roger v2.0): an extension to intermediate mass systems
AU - Martín de los Rios
AU - Héctor J. Martínez
AU - Andrés N. Ruiz
AU - Selene Levis
AU - Valeria Coenda
AU - Hernán Muriel
PY - 2026
DA - 2026/10/06
PB - arXiv
DO - 10.48550/arxiv.2608.19429
UR - https://arxiv.org/abs/2608.19429
AB - In this paper, we present an updated version of the roger code, called roger v2.0, developed to perform the orbital classification of galaxies residing in and around galaxy groups and clusters. In addition to the projected phase-space coordinates, the new version incorporates the host halo mass as an additional input parameter. Although the inclusion of the halo mass leads to only modest changes in the classification, it contributes to improving the overall robustness of the method. We also extend the range of host halo masses over which roger can be applied, enabling the analysis of systems with masses down to 10^13.5 h^−1 M_⊙. We further provide a Python implementation of the new code, which will be made publicly available. This implementation enables users to efficiently and robustly classify arbitrary galaxy samples using either version of the method. Moreover, it allows users to train a customized classifier on an alternative training set, providing the flexibility to adapt the method to different datasets and scientific applications.
ER -