COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > On-Shell Diagrams for N = 8 Supergravity Amplitudes

## On-Shell Diagrams for N = 8 Supergravity AmplitudesAdd to your list(s) Download to your calendar using vCal - Arthur Lipstein (University of Durham)
- Wednesday 29 June 2016, 10:00-11:00
- Seminar Room 1, Newton Institute.
If you have a question about this talk, please contact INI IT. GTAW01 - General relativity: from geometry to amplitudes Standard Feynman diagram techniques often obscure the underlying simplicity of on-shell scattering amplitudes. This difficulty can be overcome by working with on-shell diagrams, which do not contain virtual particles. In this talk, I will describe tree-level recursion relations for N = 8 supergravity amplitudes using a generalisation of the on-shell diagrams developed for planar N = 4 super-Yang-Mills, which imply new identities for non-planar diagrams as well as interesting relations between the N=4 and N=8 theories. If time permits, I will also speculate on the extension of this approach to loop-level. This talk is based on 1604.03046, in collaboration with Paul Heslop. This talk is part of the Isaac Newton Institute Seminar Series series. ## This talk is included in these lists:- All CMS events
- Featured lists
- INI info aggregator
- Isaac Newton Institute Seminar Series
- School of Physical Sciences
- Seminar Room 1, Newton Institute
- bld31
Note that ex-directory lists are not shown. |
## Other listsFirst Intestinal Epithelial Research Symposium ERC Equipoise Clare Hall Talks Cyber Security Society talks SciSoc – Cambridge University Scientific Society Denise Schofield## Other talksTODAY Adrian Seminar: "Synaptic plasticity and memory" Martin Roth: »Widerrede!« Satellite Observations for Climate Resilience and Sustainability The importance of seed testing Parkinson's Rehabilitation using interactive Dance Technology Quantifying Uncertainty in Turbulent Flow Predictions based on RANS/LES Closures |