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Updated: Apr 10, 2026

Setting Limits on Supersymmetry Using Simplified Models
Published on: November 15, 2013
Heavy dark matter annihilation from effective field theory
Grigory Ovanesyan1, Tracy R Slatyer2, Iain W Stewart2
1Physics Department, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA.
We developed a precise theoretical framework for fermionic dark matter annihilation into photons. This enhances predictions for gamma-ray signals, improving constraints on dark matter properties.
Area of Science:
- Particle Physics
- Cosmology
- Astrophysics
Background:
- Dark matter remains a significant mystery in cosmology, with its particle nature and interactions yet to be fully understood.
- Accurate theoretical predictions are crucial for interpreting experimental searches for dark matter, particularly those looking for annihilation signals.
Purpose of the Study:
- To formulate a precise effective field theory description for SU(2)_{L} triplet fermionic dark matter.
- To accurately calculate the dark matter annihilation cross section into line photons, including key physical effects.
- To provide updated predictions for gamma-ray line signals, thereby improving constraints on dark matter models and future experimental reach.
Main Methods:
- Combining nonrelativistic dark matter effective field theory with soft-collinear effective theory for gauge bosons.
- Incorporating Sommerfeld enhancement to account for long-range interactions.
- Resumming electroweak Sudakov logarithms at next-to-leading logarithmic order for high precision.
Main Results:
- An effective field theory description for SU(2)_{L} triplet fermionic dark matter is established.
- The dark matter annihilation cross section to line photons is calculated with 5% precision.
- More accurate and precise predictions for the gamma-ray line signal from dark matter annihilation are presented.
Conclusions:
- The developed theoretical framework provides a significant improvement in the precision of dark matter annihilation predictions.
- Updated constraints on dark matter properties and the sensitivity of future experiments are derived.
- This work offers a more robust tool for the ongoing search for dark matter through astrophysical signals.
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