# Constraints on ultralight scalar dark matter from pulsar timing

Source: [Constraints on ultralight scalar dark matter from pulsar timing](<https://www.sota2.com/research/paper/68fa2da81e209131ce85b4f0>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-28T13:53:22.446Z

Authors: N.K. Porayko, K.A. Postnov

Published: 2014-08-20T14:21:49.000Z

## Abstract

We performed a Bayesian analysis of pulsar timing residuals from the NANOGrav pulsar timing array to search for a specific form of stochastic narrow-band signal produced by oscillating gravitational potential in the Galactic halo. Such oscillations arise in models of warm dark matter composed of an ultralight massive scalar field (m\\sim 10^{-23} eV), recently considered by Khmelnitsky and Rubakov (2014). In the monochromatic approximation, the stringent upper limit (95% c.l.) on the variable gravitational potential amplitude is found to be Psi\_c\<1.14 10^{-15}, corresponding to the characteristic strain h\_c=2\\sqrt{3}\\Psi\_c \< 4 10^{-15} at frequency f=1.75 10^{-8} Hz. In the narrow-band approximation, the upper limit of this background energy density is \\Omega\_{GPB}\<1.27 10^{-9} at frequency f=6.2 10^{-9} Hz. These limits are an order of magnitude higher than the expected signal amplitude if the galactic dark matter consists of the ultralight scalar field. The applied analysis of pulsar timing residuals can be used to search for any narrow-band stochastic signals with different correlation properties. As a by-product, parameters of the red noise present in four NANOGrav pulsars (J1713+0747, J2145-0750, B1855+09, J1744-1134) have been evaluated.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1408.4670>)

[PDF](<https://arxiv.org/pdf/1408.4670.pdf>)
