This work presents a detailed analysis of the stochastic wave vector dark matter signal, combining theoretical insights from particle physics and cosmology to enhance detection methods.
Through careful integration of random variables, the study derives a marginalized likelihood for the dark matter signal, strikingly demonstrating the effective statistical treatment of such complex data.
The findings emphasize the importance of distinguishing between sum/difference peaks and the Compton peak, enhancing the precision of future dark matter detection strategies.
Future directions highlighted in the work indicate a potential for applying the developed methods to various domains within cosmology, specifically touching upon B - L dark matter.
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