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

Open Access
Authors
Publication date 01-09-2024
Journal Astrophysical Journal
Article number 49
Volume | Issue number 972 | 1
Number of pages 23
Organisations
  • Faculty of Science (FNWI) - Anton Pannekoek Institute for Astronomy (API)
Abstract
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 the achromatic noise properties in each pulsar. The models we compare include existing DM models used by the North American Nanohertz Observatory for Gravitational waves (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 data set. 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 RN = − 14.1+0.1−0.1 to − 14.7+0.3−0.5, and the spectral index broadens from γ RN = 2.6+0.5−0.4  to γ 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.
Document type Article
Language English
Published at https://doi.org/10.3847/1538-4357/ad5291
Other links https://www.scopus.com/pages/publications/85202009403
Downloads
The NANOGrav 15 yr Data Set (Final published version)
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