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Tabitha is the home on the web for our theoretical astrophysics group at UBC. The current members are

Ilaria Caiazzo Jeremy Heyl Javiera Parada
T-bird.jpg Jeremy.jpg T-bird.jpg

Collaborators / Colleagues / Alumni

Dastegir Al-Quaderi Asha Asvathaman Jonathan Benjamin Flora Ge Ramandeep Gill Ryan Goldsbury
Kelsey Hoffman Amber Hollinger Dong Lai Yoram Lithwick Don Lloyd Maxim Lyutikov
Derek MacKay Dan Mazur Mark McAnerin Martha Milkeraitis Kaya Mori Alysa Obertas
Conor Omand Rosalba Perna Matthew Penrice Chenruo Qi Harvey Richer Raminder Samra
Ryan Shannon Nir Shaviv Anand Thirumalai Hong Tsui Melody Wong

The research in the group ranges over the following areas:

  • Cosmology, Galaxy formation, evolution and mergers,
  • General relativity,
  • Properties of materials and the vacuum in ultrastrong magnetic fields,
  • Physics of neutron stars,
  • Magnetic and relativistic stellar structure,
  • Dynamics, formation and evolution of globular clusters

Presently our research is mostly focussed on the last four bullets. The theme running though our work is how how is our understanding of astrophysical phenomena connected with our understanding of fundamental physics. Although our work so far has emphasized compact objects (white dwarfs, neutron stars and black holes), the physics of the early universe and cosmology in general also provides a window onto fundamental physics.


A Fast Matching Algorithm for Sheared Stellar Samples

Jeremy Heyl has developed new and efficient algorithms for matching stellar catalogues where the transformation between the coordinate systems of the two catalagoues is unknown and may include shearing. Finding a given object whether a star or asterism from the first catalogue in the second is logarithmic in time rather than polynomial, yielding a dramatic speed up relative to a naive implementation. Both acceleration of the matching algorithm and the ability to solve for arbitrary affine transformations not only will allow the registration of stellar catalogues and images that are now impossible to use but also will find applications in machine vision and other imaging applications.

Check out the article at 1304.0838.