A recursive method for SYM n-point tree amplitudes in supersymmetric Yang-Mills theories
A recursive method for SYM n-point tree amplitudes in supersymmetric Yang-Mills theories
We present a recursive method for super Yang-Mills color-ordered n-point tree amplitudes based on the cohomology of pure spinor superspace in ten space-time dimensions. The amplitudes are organized into BRST covariant building blocks with diagrammatic interpretation. Manifestly cyclic expressions (no longer than one line each) are explicitly given up to n=10 and higher leg generalizations are straightforward.
hep-th
1-6
Mafra, Carlos R.
5a40c14f-0ddb-4c0c-9ce5-acabc537cd01
Schlotterer, Oliver
d30fbe50-b9eb-489a-ad79-0dd212ef4e0e
Stieberger, Stephan
a3da2799-d98f-4a2c-a1a6-0e9a68d70e61
Tsimpis, Dimitrios
b49f6b8f-12e2-4782-a441-6ef5226366b1
27 June 2011
Mafra, Carlos R.
5a40c14f-0ddb-4c0c-9ce5-acabc537cd01
Schlotterer, Oliver
d30fbe50-b9eb-489a-ad79-0dd212ef4e0e
Stieberger, Stephan
a3da2799-d98f-4a2c-a1a6-0e9a68d70e61
Tsimpis, Dimitrios
b49f6b8f-12e2-4782-a441-6ef5226366b1
Mafra, Carlos R., Schlotterer, Oliver, Stieberger, Stephan and Tsimpis, Dimitrios
(2011)
A recursive method for SYM n-point tree amplitudes in supersymmetric Yang-Mills theories.
Physical Review D, (83), , [126012].
(doi:10.1103/PhysRevD.83.126012).
Abstract
We present a recursive method for super Yang-Mills color-ordered n-point tree amplitudes based on the cohomology of pure spinor superspace in ten space-time dimensions. The amplitudes are organized into BRST covariant building blocks with diagrammatic interpretation. Manifestly cyclic expressions (no longer than one line each) are explicitly given up to n=10 and higher leg generalizations are straightforward.
Text
1012.3981v2
- Accepted Manuscript
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Published date: 27 June 2011
Additional Information:
7 pages, RevTeX; final version to appear in PRD
Keywords:
hep-th
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Local EPrints ID: 435000
URI: http://eprints.soton.ac.uk/id/eprint/435000
PURE UUID: b46f1aea-15c7-47d3-b6af-4e007e7ad91a
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Date deposited: 17 Oct 2019 16:30
Last modified: 17 Mar 2024 03:33
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Author:
Oliver Schlotterer
Author:
Stephan Stieberger
Author:
Dimitrios Tsimpis
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