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"Astrophysics Seminar: Astrometric mock observations for determining the local dark matter density" | The Racah Institute of Physics

"Astrophysics Seminar: Astrometric mock observations for determining the local dark matter density"

Date: 
Tue, 24/11/201512:30-13:30
Location: 
Kaplun building, Room No. 200
Lecturer: Dr. Shigeki Inoue Affiliation: Racah Institute of Physics, The Hebrew University of Jerusalem Abstract: It is a classical problem in astronomy to determine the local dark matter density (LDMD) of the solar system. The DM density at the solar radius can be estimated from the Galactic rotation curve using a spherical assumption for the dark matter halo. However, dark matter haloes are generally aspherical, therefore the DM density deduced from the rotation curve can differ from the LDMD around the solar system. In other words, the difference between them can be used for deducing the shape of the Galactic DM halo. Moreover, the determination of the LDMD is relevant to direct/indirect DM detection experiments and the essential question of 'what is dark matter?' The LDMD can be measured from vertical profiles of density and velocity dispersion of solar- neighborhood stars, and astrometric observations provide indispensable data for the LDMD determination: distances and proper motions of the stars. However, current determinations of the LDMD are significantly discrepant by studies, and we have not seemed to obtain a credible value of the LDMD. In this study, I invent a method for mock observations for determining the LDMD, and discuss what is the observational precision required for an accurate determination of the LDMD. Finally, I will assess whether or not the new satellite, Gaia, could determine the LDMD with accuracy. Additional details of the upcoming Astrophysics' seminars can be found on the following link. ‏האירוע הזה כולל שיחת וידאו ב-Google Hangouts. הצטרף: https://hangouts.google.com/hangouts/_/mail.huji.ac.il/astrophysics?hceid=bWFpbC5odWppLmFjLmlsX2c0czhydDlpcmhwZzRvdGNybWIzZGFqcjdvQGdyb3VwLmNhbGVuZGFyLmdvb2dsZS5jb20.ubiirug743iietns7pc78565u8&hs=121