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

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

Department of Astrophysics

Publications: Contribution to journal › Article › Peer Reviewed

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.

Original language	English
Journal	Astronomy & Astrophysics
Publication status	Published - 1 Nov 2024

Austrian Fields of Science 2012

103003 Astronomy
103004 Astrophysics

Keywords

Astrophysics - Astrophysics of Galaxies

Access to Document

http://adsabs.harvard.edu/abs/2024arXiv241115062K

Cite this

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title = "Rediscovering the Milky Way with orbit superposition approach and APOGEE data I. Method validation",

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 = "Astrophysics - Astrophysics of Galaxies",

author = "Sergey Khoperskov and {van de Ven}, Glenn and Matthias Steinmetz and Bridget Ratcliffe and Ivan Minchev and Davor Krajnovic and Misha Haywood and {Di Matteo}, Paola and Nikolay Kacharov and L{\'e}a Marques and Marica Valentini and {de Jong}, {Roelof S.}",

year = "2024",

month = nov,

day = "1",

language = "English",

journal = "Astronomy & Astrophysics",

issn = "0004-6361",

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TY - JOUR

T1 - Rediscovering the Milky Way with orbit superposition approach and APOGEE data I. Method validation

AU - Khoperskov, Sergey

AU - van de Ven, Glenn

AU - Steinmetz, Matthias

AU - Ratcliffe, Bridget

AU - Minchev, Ivan

AU - Krajnovic, Davor

AU - Haywood, Misha

AU - Di Matteo, Paola

AU - Kacharov, Nikolay

AU - Marques, Léa

AU - Valentini, Marica

AU - de Jong, Roelof S.

PY - 2024/11/1

Y1 - 2024/11/1

N2 - 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.

AB - 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.

KW - Astrophysics - Astrophysics of Galaxies

M3 - Article

SN - 0004-6361

JO - Astronomy & Astrophysics

JF - Astronomy & Astrophysics

ER -

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

Abstract

Austrian Fields of Science 2012

Keywords

Access to Document

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Cite this