Made-to-Measure models of the Galactic Box/Peanut bulge: stellar and total mass in the bulge region
M. Portail (1), C. Wegg (1), O. Gerhard (1), I. Martinez-Valpuesta, (1, 2) ((1) MPE (2) IAC)

TL;DR
This study constructs detailed dynamical models of the Milky Way's Box/Peanut bulge, accurately measuring its mass, stellar content, and kinematic properties, revealing insights into its structure, dark matter content, and rotation speed.
Contribution
It provides the first precise measurement of the bulge's total and stellar mass, and constrains the dark matter fraction, IMF, and pattern speed using Made-to-Measure modeling with new observational data.
Findings
Total bulge mass is 1.84 ± 0.07 × 10^10 Msun.
Stellar mass varies between 1.25-1.6 × 10^10 Msun depending on dark matter.
Pattern speed of the bulge is 25-30 km/s/kpc, indicating slow rotation.
Abstract
We construct dynamical models of the Milky Way's Box/Peanut (B/P) bulge, using the recently measured 3D density of Red Clump Giants (RCGs) as well as kinematic data from the BRAVA survey. We match these data using the NMAGIC Made-to-Measure method, starting with N-body models for barred discs in different dark matter haloes. We determine the total mass in the bulge volume of the RCGs measurement (+-2.2 x +- 1.4 x +- 1.2 kpc) with unprecedented accuracy and robustness to be 1.84 +- 0.07 x10^10 Msun. The stellar mass in this volume varies between 1.25-1.6 x10^10 Msun, depending on the amount of dark matter in the bulge. We evaluate the mass-to-light and mass-to-clump ratios in the bulge and compare them to theoretical predictions from population synthesis models. We find a mass-to-light ratio in the K-band in the range 0.8-1.1. The models are consistent with a Kroupa or Chabrier IMF, but…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
