Observationally inferred dark matter phase-space distribution and direct detection experiments
Sayan Mandal, Subhabrata Majumdar, Vikram Rentala, Ritoban Basu, Thakur

TL;DR
This paper assesses how using an observationally derived dark matter velocity distribution, instead of the standard model, impacts direct detection experiment results, emphasizing the importance of accurate phase-space modeling for future searches.
Contribution
It introduces a self-consistent method to determine the Milky Way's dark matter phase-space distribution from observational data, improving the interpretation of direct detection limits.
Findings
Empirically derived VDF differs significantly from the Standard Halo Model.
Using observational VDF alters WIMP cross section exclusion limits, especially at low dark matter masses.
Detector response and thresholds critically influence the impact of VDF choice on detection results.
Abstract
We present a detailed analysis of the effect of an observationally determined dark matter (DM) velocity distribution function (VDF) of the Milky Way (MW) on DM direct detection rates. We go beyond local kinematic tracers and use rotation curve data up to 200 kpc to construct a MW mass model and self-consistently determine the local phase-space distribution of DM. This approach mitigates any incomplete understanding of local dark matter-visible matter degeneracies that can affect the determination of the VDF. Comparing with the oft used Standard Halo Model (SHM), which assumes an isothermal VDF, we look at how the tail of the empirically determined VDF alters our interpretation of the present direct detection WIMP DM cross section exclusion limits. While previous studies have suggested a very large difference (of more than an order of magnitude) in the bounds at low DM masses, we show…
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