Decoding Dark Matter at future $e^+ e^-$ colliders
Alexander Belyaev, Arran Freegard, Ilya F. Ginzburg, Daniel Locke and, Alexander Pukhov

TL;DR
This paper investigates how future $e^+ e^-$ colliders can detect and characterize dark matter, focusing on scalar and fermion models, by analyzing specific production processes and kinematic observables to measure mass and spin.
Contribution
It introduces a detailed analysis of dark matter detection at $e^+ e^-$ colliders, proposing new methods to determine dark matter properties and distinguish models based on kinematic signatures.
Findings
Fermion dark matter masses can be measured with a few percent accuracy at 500 fb$^{-1}$.
Scalar dark matter requires about 40 times higher luminosity for similar mass measurement accuracy.
Fermion and scalar dark matter scenarios can be distinguished with about 2 ab$^{-1}$ luminosity.
Abstract
We explore the potential of the colliders to discover dark matter and determine its properties such as mass and the spin. For this purpose we study spin zero and spin one-half cases of dark matter, which belongs to weak doublet and therefore has the charged doublet partner, . For the case of scalar dark matter we chose Inert Doublet Model, while for the case of fermion dark matter we suggest the new minimal fermion dark matter model with only three parameters. We choose two benchmarks for the models under study which provide the correct amount of observed DM relic density and consistent with the current DM searches. We focus on the particular process at 500 GeV ILC collider which gives rise to the "di-jet + + missing " signature and study it at the level of fast detector simulation,…
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Taxonomy
TopicsDark Matter and Cosmic Phenomena · Particle physics theoretical and experimental studies · Computational Physics and Python Applications
