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The NANOGrav 15 yr Data Set: Chromatic Gaussian Process Noise Models for Six Pulsars

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arxiv 2405.14941 v1 pith:O66MHKMR submitted 2024-05-23 astro-ph.HE astro-ph.GAastro-ph.IM

The NANOGrav 15 yr Data Set: Chromatic Gaussian Process Noise Models for Six Pulsars

classification astro-ph.HE astro-ph.GAastro-ph.IM
keywords noisemodelschromaticachromaticdatapulsarpulsarsepta
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Pulsar timing arrays (PTAs) are designed to detect low-frequency gravitational waves (GWs). GWs induce achromatic signals in PTA data, meaning that the timing delays do not depend on radio-frequency. However, pulse arrival times are also affected by radio-frequency dependent "chromatic" noise from sources such as dispersion measure (DM) and scattering delay variations. Furthermore, the characterization of GW signals may be influenced by the choice of chromatic noise model for each pulsar. To better understand this effect, we assess if and how different chromatic noise models affect achromatic noise properties in each pulsar. The models we compare include existing DM models used by NANOGrav and noise models used for the European PTA Data Release 2 (EPTA DR2). We perform this comparison using a subsample of six pulsars from the NANOGrav 15 yr data set, selecting the same six pulsars as from the EPTA DR2 six-pulsar dataset. We find that the choice of chromatic noise model noticeably affects the achromatic noise properties of several pulsars. This is most dramatic for PSR J1713+0747, where the amplitude of its achromatic red noise lowers from $\log_{10}A_{\text{RN}} = -14.1^{+0.1}_{-0.1}$ to $-14.7^{+0.3}_{-0.5}$, and the spectral index broadens from $\gamma_{\text{RN}} = 2.6^{+0.5}_{-0.4}$ to $\gamma_{\text{RN}} = 3.5^{+1.2}_{-0.9}$. We also compare each pulsar's noise properties with those inferred from the EPTA DR2, using the same models. From the discrepancies, we identify potential areas where the noise models could be improved. These results highlight the potential for custom chromatic noise models to improve PTA sensitivity to GWs.

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Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. PSRDISP: A novel approach to modeling dispersive processes in single-pulsar noise analysis using epoch-wise dispersion measures

    astro-ph.IM 2026-07 unverdicted novelty 6.0

    PSRDISP characterises deterministic and stochastic dispersive processes via Gaussian processes on epoch-wise DM estimates, recovering injected signals on simulated narrowband and wideband pulsar timing data.

  2. PSRDISP: A novel approach to modeling dispersive processes in single-pulsar noise analysis using epoch-wise dispersion measures

    astro-ph.IM 2026-07 conditional novelty 6.0

    PSRDISP is a Gaussian-process framework that fits dispersion-measure and solar-wind noise directly to epoch-wise dispersion measures, recovering injected signals in simulated pulsar data.

  3. PSRDISP: A novel approach to modeling dispersive processes in single-pulsar noise analysis using epoch-wise dispersion measures

    astro-ph.IM 2026-07 conditional novelty 5.0

    A Fourier-domain Gaussian process fit to epoch-wise pulsar dispersion measures recovers injected DM and solar-wind noise in simulated narrowband and wideband timing data.

  4. The SKAO Pulsar Timing Array

    astro-ph.IM 2026-07 accept novelty 3.5

    An SKAO PTA with ~174 millisecond pulsars can dominate nanohertz GW sensitivity within four years and enable continuous-wave detections plus anisotropy maps of the gravitational-wave background.