Imperial College London

ProfessorRobertoTrotta

Faculty of Natural SciencesDepartment of Physics

Visiting Professor
 
 
 
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Contact

 

+44 (0)20 7594 7793r.trotta Website CV

 
 
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Assistant

 

Mrs Sheila Ekudo +44 (0)20 7594 2086

 
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Location

 

1009Blackett LaboratorySouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@unpublished{Karukes:2019,
author = {Karukes, EV and Benito, M and Iocco, F and Trotta, R and Geringer-Sameth, A},
publisher = {arXiv},
title = {A robust estimate of the Milky Way mass from rotation curve data},
url = {http://arxiv.org/abs/1912.04296v1},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - UNPB
AB - We present a new estimate of the mass of the Milky Way, inferred via aBayesian approach from tracers of the circular velocity in the disk plane andstars in the stellar halo. We use the rotation curve method to determine thedark matter density profile, together with the total stellar mass, which isconstrained by surface stellar density and microlensing measurements. We alsoinclude uncertainties on the baryonic morphology via Bayesian model averaging,thus converting a potential source of systematic error into a more manageablestatistical uncertainty. We evaluate the robustness of our result againstvarious possible systematics, including rotation curve data selection,uncertainty on the Sun's velocity $V_0$, dependence on the dark matter profileassumptions, and choice of priors. We find the Milky Way's virial mass to be$\log_{10}M_{200}/ {\rm M_\odot} =11.92^{+0.06}_{-0.05}{\rm(stat)}\pm{0.28}\pm0.27{\rm(syst)}$ and the total massto be $\log_{10}M_{\rm tot}/ {\rm M_\odot} =11.95^{+0.04}_{-0.04}{\rm(stat)}\pm{0.25}\pm0.25{\rm(syst)}$($M_{200}=8.3^{+1.2}_{-0.9}{\rm(stat)}\times10^{11}\,{\rm M_\odot}$ and $M_{\rmtot}=8.9^{+1.0}_{-0.8}{\rm(stat)}\times10^{11}\,{\rm M_\odot}$). We also applyour framework to Gaia DR2 rotation curve data and find good statisticalagreement with the above results.
AU - Karukes,EV
AU - Benito,M
AU - Iocco,F
AU - Trotta,R
AU - Geringer-Sameth,A
PB - arXiv
PY - 2019///
TI - A robust estimate of the Milky Way mass from rotation curve data
UR - http://arxiv.org/abs/1912.04296v1
UR - http://hdl.handle.net/10044/1/78906
ER -