# Improved model-dependent corollary analyses after the first six annual cycles of DAMA/LIBRA-phase2

## TL;DR

This paper presents an improved analysis of DAMA/LIBRA-phase2 data, enhancing constraints on dark matter candidates by increasing exposure and lowering energy thresholds, thereby refining parameter space restrictions.

## Contribution

It introduces a model-dependent corollary analysis after six annual cycles, utilizing increased exposure and lower energy thresholds to better constrain dark matter candidate parameters.

## Key findings

- Enhanced constraints on dark matter candidates due to increased exposure.
- Refined parameter space restrictions with lower energy thresholds.
- Analysis of first DAMA/LIBRA-phase2 data with 1.13 ton×yr exposure.

## Abstract

Several of the many proposed Dark Matter candidate particles, already investigated with lower exposure and a higher software energy threshold, are further analyzed including the first DAMA/LIBRA--phase2 data release, with an exposure of 1.13 ton $\times$ yr and a lower software energy threshold (1 keV). The cumulative exposure above 2 keV considering also DAMA/NaI and DAMA/LIBRA--phase1 results is now 2.46 ton $\times$ yr. The analysis permits to constraint the parameters' space of the considered candidates restricting their values -- with respect to previous analyses -- thanks to the increase of the exposure and to the lower energy threshold.