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Directional detection is the only strategy for the unambiguous identificationof galactic Dark Matter (DM) even in the presence of an irreducible backgroundsuch as beyond the neutrino floor. This approach requires measuring thedirection of a DM-induced nuclear recoil in the keV-range. To probe such lowenergies, directional detectors must operate at high gain where 3D trackreconstruction can be distorted by the influence of the numerous ions producedin the avalanches. The article describes the interplay between electrons andions during signal formation in a Micromegas. It introduces SimuMimac, asimulation tool dedicated to high gain detection that agrees with MIMACmeasurements. This work proposes an analytical formula to deconvolve the ionicsignal induced on the grid from any measurements, with no need for prior nor adhoc parameter. This deconvolution is experimentally tested and validated,revealing the fine structure of the primary electrons cloud and consequentlyleading to head-tail recognition in the keV-range. Finally, the articlepresents how this deconvolution can be used for directionality byreconstructing the spectra of mono-energetic $27~\mathrm{keV}$ and$8~\mathrm{keV}$ neutrons with an angular resolution better than $15^\circ$.This novel approach for directionality appears as complementary to the standardone from 3D tracks reconstruction and offers redundancy for improvingdirectional performances at high gain in the keV region.

Directionality and head-tail recognition in the keV-range with the MIMAC detector by deconvolution of the ionic signal