For more than a century now, our inference of the mass distributions (including dark matter) in galaxies have been based on modeling the positions and velocities of stars, i.e., using kinematic analyses, which assume equilibrium. These kinematic estimates can be inaccurate for a time-dependent potential, and there are now many lines of observational evidence that show that our Galaxy has had a highly dynamic history. Technological advances now make it possible for us to carry out extreme-precision time-series measurements of the acceleration of stars that live within the gravitational potential of our Galaxy. The speaker will talk about several different methods of direct acceleration measurements that the speaker and her team have developed, including their recent analysis of compiled pulsar timing data from which they were able to measure the Galactic acceleration for the first time. Given the measured acceleration, they can straightforwardly use the Poisson equation to determine the total density, and the local dark matter density (given an accounting of the stellar density). There are testable differences between popular models of dark matter on small scales, i.e., in their sub-structure. The speaker will discuss the potential for measuring dark matter sub-structure in the Milky Way with pulsar timing and eclipse timing, and for constraining theories of gravity by combining constraints from pulsar timing and extreme precision radial velocity measurements. She will end by discussing their recent work in developing an “acceleration ladder” by calibrating kinematic estimates of the acceleration to direct acceleration measurements.
時間：2023.04.04(二) 21:30~22:50
頻道：Zoom ID:421-480-1692 ← cosmology
講者：Sukanya Chakrabarti (Rochester Institute of Technology)
語言：英語
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【此屬轉載訊息，以主事單位發佈為準】
此活動由歐洲核子研究組織CERN主辦。
