Rediscovering the Milky Way with orbit superposition approach and APOGEE data I. Method validation

Sergey Khoperskov; Glenn van de Ven; Matthias Steinmetz; Bridget Ratcliffe; Ivan Minchev; Davor Krajnovic; Misha Haywood; Paola Di Matteo; Nikolay Kacharov; Léa Marques; Marica Valentini; Roelof S. de Jong

doi:10.1051/0004-6361/202453304

Rediscovering the Milky Way with orbit superposition approach and APOGEE data I. Method validation

Astrophysics of Galaxies 2025-03-26 v1

Authors: Sergey Khoperskov , Glenn van de Ven , Matthias Steinmetz , Bridget Ratcliffe , Ivan Minchev , Davor Krajnovic , Misha Haywood , Paola Di Matteo , Nikolay Kacharov , Léa Marques , Marica Valentini , Roelof S. de Jong

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Abstract

We introduce a novel orbit superposition method designed to reconstruct the stellar density structure, kinematics, and chemical abundance distribution of the entire Milky Way by leveraging 6D phase-space information from its resolved stellar populations, limited by the spatial coverage of APOGEE DR17.

Keywords

milky way galaxy

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@article{arxiv.2411.15062,
  title  = {Rediscovering the Milky Way with orbit superposition approach and APOGEE data I. Method validation},
  author = {Sergey Khoperskov and Glenn van de Ven and Matthias Steinmetz and Bridget Ratcliffe and Ivan Minchev and Davor Krajnovic and Misha Haywood and Paola Di Matteo and Nikolay Kacharov and Léa Marques and Marica Valentini and Roelof S. de Jong},
  journal= {arXiv preprint arXiv:2411.15062},
  year   = {2025}
}

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17 pages, 13 figures, submitted to A&A

Rediscovering the Milky Way with orbit superposition approach and APOGEE data I. Method validation

Abstract

Keywords

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