scholarly journals Connections between cosmic-ray physics, gamma-ray data analysis and Dark Matter detection

2016 ◽  
Author(s):  
Daniele Gaggero
Keyword(s):  
Dark Matter ◽  
Data Analysis ◽  
Gamma Ray ◽  
Cosmic Ray ◽  
Dark Matter Detection ◽  
Matter Detection

scholarly journals Model-independent identification of inelastic WIMPs from direct Dark Matter detection experiments

2014 ◽  
Vol 29 (05) ◽  
pp. 1450014 ◽  
Author(s):  
Sen Miao ◽  
Chung-Lin Shan ◽  
Yu-Feng Zhou
Keyword(s):  
Dark Matter ◽  
Data Analysis ◽  
Mass Splitting ◽  
Data Sets ◽  
Independent Data ◽  
Nucleus Scattering ◽  
Model Independent ◽  
Dark Matter Detection ◽  
Matter Detection ◽  
Direct Dark Matter

In this paper, we introduce model-independent data analysis procedures for identifying inelastic WIMP-nucleus scattering as well as for reconstructing the mass and the mass splitting of inelastic WIMPs simultaneously and separately. Our simulations show that, with 𝒪(50) observed WIMP signals from one experiment, one could already distinguish the inelastic WIMP scattering scenarios from the elastic one. By combining two or more data sets with positive signals, the WIMP mass and the mass splitting could even be reconstructed with statistical uncertainties of less than a factor of two.

scholarly journals Unidentified gamma-ray sources as targets for indirect dark matter detection with theFermi-Large Area Telescope

2019 ◽  
Vol 2019 (07) ◽  
pp. 020-020 ◽  
Author(s):  
Javier Coronado-Blázquez ◽  
Miguel A. Sánchez-Conde ◽  
Alberto Domínguez ◽  
Alejandra Aguirre-Santaella ◽  
Mattia Di Mauro ◽  
...  
Keyword(s):  
Dark Matter ◽  
Gamma Ray ◽  
Large Area ◽  
Dark Matter Detection ◽  
Matter Detection

scholarly journals Prediction of tunable spin-orbit gapped materials for dark matter detection

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Katherine Inzani ◽  
Alireza Faghaninia ◽  
Sinéad M. Griffin
Keyword(s):  
Dark Matter ◽  
Spin Orbit ◽  
Dark Matter Detection ◽  
Matter Detection

Alpha Magnetic Spectrometer (AMS) Releases New Results on Dark Matter Detection

2015 ◽  
Vol 04 (01) ◽  
pp. 28-30
Author(s):  
Yuan-Hann Chang
Keyword(s):  
Dark Matter ◽  
Direct Detection ◽  
Magnetic Spectrometer ◽  
Gravitational Effects ◽  
Dark Matter Detection ◽  
The Universe ◽  
Matter Detection ◽  
Alpha Magnetic Spectrometer

It is known that the majority (about 80%) of the matter in the universe is not visible, but rather a hypothetical "Dark Matter". The existence of Dark Matter has been postulated to explain the discrepancies between the estimated mass of visible matters in the galaxies, and their gravitational effects. Although it has been postulated for over 70 years, and has been commonly accepted by most scientists, the essence of the Dark Matter has not yet been understood. In particular, we still do not know what constitutes the Dark Matter. Direct detection of the Dark Matter is therefore one of the most important issues in physics.

scholarly journals Galactic halo models and particle dark-matter detection

1998 ◽  
Vol 57 (6) ◽  
pp. 3256-3263 ◽  
Author(s):  
Marc Kamionkowski ◽  
Ali Kinkhabwala
Keyword(s):  
Dark Matter ◽  
Galactic Halo ◽  
Particle Dark Matter ◽  
Dark Matter Detection ◽  
Matter Detection

Optomechanical dark matter detection

2021 ◽  
Author(s):  
Dalziel J. Wilson ◽  
Jack Manley ◽  
Swati Singh ◽  
Mitul Dey Chowdhury ◽  
Daniel Grin ◽  
...  
Keyword(s):  
Dark Matter ◽  
Dark Matter Detection ◽  
Matter Detection

Halo-independent analysis of direct dark matter detection through electron scattering

2021 ◽  
Vol 2021 (12) ◽  
pp. 048
Author(s):  
Muping Chen ◽  
Graciela B. Gelmini ◽  
Volodymyr Takhistov
Keyword(s):  
Dark Matter ◽  
Direct Detection ◽  
Dark Matter Halo ◽  
Dark Halo ◽  
Sufficient Energy ◽  
Independent Analysis ◽  
Dark Matter Detection ◽  
Dark Matter Scattering ◽  
Matter Detection ◽  
Direct Dark Matter

Abstract Sub-GeV mass dark matter particles whose collisions with nuclei would not deposit sufficient energy to be detected, could instead be revealed through their interaction with electrons. Analyses of data from direct detection experiments usually require assuming a local dark matter halo velocity distribution. In the halo-independent analysis method, properties of this distribution are instead inferred from direct dark matter detection data, which allows then to compare different data without making any assumption on the uncertain local dark halo characteristics. This method has so far been developed for and applied to dark matter scattering off nuclei. Here we demonstrate how this analysis can be applied to scattering off electrons.

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