We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.


Research lectures, seminars and events

The events listed in this area are research seminars, workshops and lectures hosted by Durham University departments and research institutes. If you are not a member of the University, but  wish to enquire about attending one of the events please contact the organiser or host department.


October 2018
September 2018 November 2018
1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 31

Events for 26 October 2018

Achilleas Passias: N=2 AdS4 IIA solutions

1:00pm, CM101

We present two new families of analytic N=2 AdS4 solutions of type IIA supergravity with non-zero Romans mass.
The first family contains all previously known numeric solutions and is dual to Chern-Simons theories coupled
to matter. The second family is dual to three-dimensional superconformal field theories obtained by
compactifying a five-dimensional one on a Riemann surface.

Contact, for more information about this event.

Tim Whitbread: Parametric optimization for flux transport models

3:00pm, CM301

Accurate prediction of solar activity calls for precise calibration of solar cycle models. Consequently we aim to find optimal parameters for models which describe the physical processes on the solar surface, which in turn act as proxies for what occurs in the interior and provide source terms for coronal models. We use a genetic algorithm to perform the optimization, and apply it to both a 1D model that inserts new magnetic flux in the form of idealized bipolar magnetic regions, and also to a 2D model that assimilates specific shapes of real active regions. The genetic algorithm searches for parameter sets that produce the best fit between observed and simulated butterfly diagrams, weighted by a latitude-dependent error structure which reflects uncertainty in observations. We also approach the problem using powerful Bayesian emulation techniques, and compare the efficiency of the two methods.

Contact for more information about this event.