Episode 431 - Super stellar collisions and super computers

Space is really big, but when a collision happens it's incredibly complicated. Studying and predicting collisions between stars is hard even for super computers. How can you speed up the modelling of stellar collisions? A neutron star and a black hole colliding may not be as rare as you think. The collision of two heavyweights could give us the data we need to crack a century old question. The merger of a black hole and a neutron star gives off tremendous amounts of energy and may be more common than we thought. By 2030 we should have enough data captured on LIGO and other instruments to solve Hubble's dilema.

1. Dominic C Marcello, Sagiv Shiber, Orsola De Marco, Juhan Frank, Geoffrey C Clayton, Patrick M Motl, Patrick Diehl, Hartmut Kaiser. Octo-Tiger: a new, 3D hydrodynamic code for stellar mergers that uses HPX parallelisation. Monthly Notices of the Royal Astronomical Society, 2021; DOI: 10.1093/mnras/stab937
2. Stephen M. Feeney, Hiranya V. Peiris, Samaya M. Nissanke, and Daniel J. Mortlock. Prospects for measuring the Hubble constant with neutron-star–black-hole mergers. Phys. Rev. Lett. (accepted), 2021 [abstract]