DAMA/LIBRA results on particle Dark Matter investigation

The corollary quests for the candidate particle(s) in some of the many possible model frameworks

On the basis of the obtained 9.3 sigma C.L. (DAMA/NaI+DAMA/LIBRA-phase1) model-independent evidence for the presence of Dark Matter (DM) particles in the Galactic halo, corollary investigations can also be pursued on the nature of the DM particle(s). This latter investigation is instead model-dependent and -- considering the large uncertainties which exist on the astrophysical, nuclear and particle physics assumptions and on the theoretical and experimental parameters needed in the calculations -- has no general meaning (as it is also the case of exclusion plots and of DM particle parameters evaluated in indirect detection experiments, which are in particular both just model dependent). In particular, it should be stressed that it does not exist any approach to investigate the nature of the candidate in the direct and indirect DM searches which can offer these information independently on assumed astrophysical, nuclear and particle Physics scenarios.

Various candidates, kinds of couplings with ordinary matter and implications, cross sections, nuclear form factors, spin factors, scaling laws, halo models, priors, uncertainties, etc. have to be considered at present stage of knowledge. Other are open. Moreover, additional uncertainties are present for each assumption. Depending on the candidate, interaction type, etc. the DAMA result is compatible with masses from keV to hundreds GeV. In the particular case of preferred inelastic scattering scenarios, the DAMA data are compatible with masses up to the TeV region. See literature. In particular, thanks to the presence of Na in the target, the DAMA result is also well compatible in various scenarios with recent claims by CRESST and CDMS-II for some possible recoil-like excesses above their estimate of the background surviving the many cuts they apply in small exposures; the same is for the the CoGENT result. Consider also the accounting for all the experimental and theoretical uncertainties. See literature.