Distribution Function-based Modeling of Discrete Kinematic Datasets, in Application to the Milky Way Nuclear Star Cluster
Metrics
Details
- Title
- Distribution Function-based Modeling of Discrete Kinematic Datasets, in Application to the Milky Way Nuclear Star Cluster
- Creators
- Eugene VasilievAnja Feldmeier-Krause - University of ViennaMattia C. Sormani - Dell
- Publication Details
- The Astrophysical journal, Vol.1002(1), p.71
- Publisher
- IOP Publishing; Bristol
- Number of pages
- 21
- Publication Date
- 01/01/2026
- Grant note
- EC divided by European Research Council (ERC): 101116226 UKRI divided by Science and Technology Facilities Council (STFC): ST/X0040066/1 Austrian Science Fund (FWF): DOI 10.55776/ESP542 Fondazione Cariplo (Cariplo Foundation): 2023-3014
We thank the referee for valuable comments and suggestions. E.V. acknowledges support from an STFC Ernest Rutherford fellowship (ST/X0040066/1). A.F.K. acknowledges funding from the Austrian Science Fund (FWF) [grant DOI 10.55776/ESP542]. M.C.S. acknowledges financial support from the European Research Council under the ERC Starting Grant "GalFlow" (grant 101116226) and from Fondazione Cariplo under the grant ERC attrattivita no. 2023-3014. This research was conducted organically, i.e., without AI assistance, neither in coding nor in manuscript preparation.
- Identifiers
- 991123377902346; WOS:001751188600001
- Academic Unit
- School of Maths and Physics
- Language
- English
- Resource Type
- Journal article