## 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