Exploring the Gradient of a Scalar in Dark Matter Velocity Analysis
28 Oct 2024
This article investigates the implications of the gradient of a scalar field in the context of local dark matter (DM) velocity.
nalyzing Covariance Matrix for Independent Likelihoods in Frequency Bins
28 Oct 2024
This article examines the covariance matrix's role in treating the total likelihood as a product of individual likelihoods across frequency bins.
Derivation of Marginal Likelihood with Stochastic Field Amplitude
27 Oct 2024
This article presents the derivation of marginal likelihood in the context of stochastic field amplitude analysis.
Equipartition Between Longitudinal and Transverse Modes
27 Oct 2024
This article explores the equipartition of power between longitudinal and transverse modes in the context of dark matter halo formation.
Advancing the Detection of Ultralight Vector Dark Matter through Novel Analytical Strategies
27 Oct 2024
This study outlines a strategy for detecting ultralight vector dark matter, highlighting sensor behavior and guiding future experimental designs.
Recasting Three-Peak Exclusion Limits on B − L Dark Matter via Accelerometer Studies
27 Oct 2024
Explore how three-peak analysis in accelerometer studies sets exclusion limits on B − L dark matter, focusing on gauge coupling and resonance tuning.
Longer Observation Times and Expanding the Mass Window
27 Oct 2024
Learn why longer observation times are important for improved dark matter detection.
Enhanced Vector Dark Matter Detection in Accelerometer Studies Through a Three-Peak Analysis
27 Oct 2024
Accelerometer studies gain from a three-peak analysis approach for vector dark matter detection, overcoming signal loss from single-peak methods
Projected Exclusions for Vector Dark Matter Detection Using Latitude-Independent Three-Peak Analysis
27 Oct 2024
Discover how a latitude-independent, three-peak analysis enhances projected exclusion limits for vector dark matter detection