Details on the event


Warning: following the coronavirus emergency, all the talks will be given remotely online. The link to connect to the seminar will be available in due time. A playlist of the remote talks already online is available on our YouTube channel »

Remote talk

Testing Modified Gravity Theories with Wide Binaries from GAIA DR2

Charalambos Pittordis (Queen Mary University of London)

Tuesday 12/05/2020 @ 14:00, Google Hangouts Meet

Several recent studies have shown that very wide binary stars can potentially provide an interesting test for modified-gravity theories which attempt to emulate dark matter; these systems should be almost Newtonian according to standard dark-matter theories, while the predictions for MOND-like theories are distinctly different, if the various observational issues can be overcome. Here we explore an observational application of the test from the recent GAIA DR2 data release: we select a large sample of ?24,000 candidate wide binary stars with distance <200 parsec and magnitudes G<16 from GAIA DR2, and estimated component masses using a main-sequence mass-luminosity relation. We then compare the frequency distribution of pairwise relative projected velocity (relative to circular-orbit value) as a function of projected separation; these distributions show a clear peak at a value close to Newtonian expectations, along with a long `tail' which extends to much larger velocity ratios; the `tail' is considerably more numerous than in control samples constructed from DR2 with randomised positions, so its origin is unclear. Comparing the velocity histograms with simulated data, we conclude that MOND-like theories without an external field effect are strongly inconsistent with the observed data since they predict a peak-shift in clear disagreement with the data; testing MOND-like theories with an external field effect is not decisive at present, but has good prospects to become decisive in future with improved modelling or understanding of the high-velocity tail, and additional spectroscopic data.

Link to the recorded talk: