DETERMINING THE LOCAL DARK MATTER DENSITY USING GAIA DR2
Dark matter is believed to comprise about 26.4 % of the total mass-energy content of the universe, more than baryonic matter which is only about 4.9 % (Planck Collaboration et al., 2018). Although these results indicate that the amount of dark matter is abundant, properties of dark matter are sti...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/39457 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Dark matter is believed to comprise about 26.4 % of the total mass-energy content
of the universe, more than baryonic matter which is only about 4.9 % (Planck
Collaboration et al., 2018). Although these results indicate that the amount of dark
matter is abundant, properties of dark matter are still unknown in detail. Therefore,
various attempts are tried to gain better understanding of the properties of dark
matter. One of the attempts which is to conduct direct experiment, i.e. detecting
the interaction of dark matter particles with nuclei in the detector materials. The
experiments require the value of the local dark matter density to estimate detection
rate of the interaction of dark matter particles with the detector materials.
One way that can be used to determine the local dark matter density is by
considering the motion of objects in the Solar neighborhood, which will be called
tracers. In this Final Project, determination of the local dark matter density was
performed by considering the motion and number density of a star population in a
cylindrical space with a radius of 150 pc and half-height of 200 pc. The data of star
motion and number density are calculated using Gaia DR2 downloaded from the
Gaia Archive site, i.e. https://gea.esac.esa.int/archive/. K dwarf stars are selected
as tracers and data was selected based on the range of absolute visual magnitude
MV and the eective temperature of K dwarfs.
The Jeans and Poisson equations are used to connect the observed quantities, the
velocity and number density of tracers, with the local dark matter density. Tracers
are assumed to be in dynamic equilibrium and their number density as a function
of height follows an exponential prole. Marginalization of the local dark matter
density was done with the Bayesian theorem using the Markov Chain Monte Carlo
(MCMC) method. Determination of the local dark matter density in this Final Project
gives a result of dm = 0:01160:0012 M/pc3 or dm = 0:4390:046 GeV/cm3.
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