Numerical analyses of M31 dark matter profiles
Boshkayev K. Konysbayev T. Kurmanov Y. Luongo O. Muccino M. Quevedo H. Zhumakhanova G.
1 March 2024World Scientific
International Journal of Modern Physics D
2024#33Issue 3-4
In this paper, we reproduce the rotation curve of the Andromeda galaxy (M31) by taking into account its bulge, disk and halo components, considering the last one to contain the major part of dark matter mass. Hence, our prescription is to split the galactic bulge into two components, namely, the inner and main bulges, respectively. Both bulges are thus modeled by exponential density profiles since we underline that the widely accepted de Vaucouleurs law fails to reproduce the whole galactic bulge rotation curve. In addition, we adopt various well-known phenomenological dark matter profiles to estimate the dark matter mass in the halo region. Moreover, we apply the least-squares fitting method to determine from the rotation curve the model free parameters, namely, the characteristic (central) density, scale radius and consequently the total mass. To do so, we perform Markov chain Monte Carlo statistical analyses based on the Metropolis algorithm, maximizing our likelihoods adopting velocity and radii data points of the rotation curves. We do not fit separately the components for bulges, disk and halo, but we perform an overall fit including all the components and employing all the data points. Thus, we critically analyze our corresponding findings and, in particular, we employ the Bayesian information criterion to assess the most accredited model to describe M31 dark matter dynamics.
dark matter , phenomenological profiles , rotational curve , Spiral galaxies
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National Nanotechnology Laboratory of Open Type, Al-Farabi av. 71, Almaty, 050040, Kazakhstan
Al-Farabi Kazakh National University, Al-Farabi av. 71, Almaty, 050040, Kazakhstan
Institute of Nuclear Physics, Ibragimova str. 1, Almaty, Kazakhstan
International Engineering Technological University, 93G/5 Al-Farabi avenue, Almaty, 050060, Kazakhstan
Università di Camerino, Via Madonna delle Carceri 9, Camerino, 62032, Italy
SUNY Polytechnic Institute, Utica, 13502, NY, United States
Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, 06123, Italy
INAF-Osservatorio Astronomico di Brera, Milano, Italy
Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico
Dipartimento di Fisica and ICRA, Università di Roma la Sapienza, Roma, Italy
National Nanotechnology Laboratory of Open Type
Al-Farabi Kazakh National University
Institute of Nuclear Physics
International Engineering Technological University
Università di Camerino
SUNY Polytechnic Institute
Istituto Nazionale di Fisica Nucleare
INAF-Osservatorio Astronomico di Brera
Instituto de Ciencias Nucleares
Dipartimento di Fisica and ICRA
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