PIRSA:15120010

Can We Identify the Theory of Dark Matter with Direct Detection?

APA

(2015). Can We Identify the Theory of Dark Matter with Direct Detection?. Perimeter Institute for Theoretical Physics. https://pirsa.org/15120010

MLA

Can We Identify the Theory of Dark Matter with Direct Detection?. Perimeter Institute for Theoretical Physics, Dec. 08, 2015, https://pirsa.org/15120010

BibTex

          @misc{ scivideos_PIRSA:15120010,
            doi = {10.48660/15120010},
            url = {https://pirsa.org/15120010},
            author = {},
            keywords = {Cosmology},
            language = {en},
            title = {Can We Identify the Theory of Dark Matter with Direct Detection?},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2015},
            month = {dec},
            note = {PIRSA:15120010 see, \url{https://scivideos.org/index.php/pirsa/15120010}}
          }
          
Talk numberPIRSA:15120010
Source RepositoryPIRSA
Talk Type Scientific Series
Subject

Abstract

In light of the upcoming Generation 2 (G2) direct-detection experiments attempting to record dark matter scattering with nuclei in underground detectors, it is timely to inquire about their ability to single out the correct theory of dark-matter-baryon interactions, in case a signal is observed. I will present a recent study in which we perform statistical analysis of a large set of direct-detection simulations, covering a wide variety of operators that describe scattering of fermionic dark matter with nuclei. I will show that a strong signal on G2 xenon and germanium targets has enough discrimination power to reconstruct the momentum dependence of the interaction, ruling out entire classes of models. However, zeroing in on a correct UV completion will critically depend on the availability of measurements from a wide variety of nuclear targets (including iodine and fluorine) and on the availability of low energy thresholds. This study quantifies complementarity amongst different experimental designs and targets, and provides a roadmap for future data analyses. It also highlights the critical need for bringing in information from all available probes in dark matter studies.