The NANOGrav 15 yr Data Set: Chromatic Gaussian Process Noise Models for Six Pulsars
Bjorn Larsen, Chiara M. F. Mingarelli, Jeffrey S. Hazboun, Aurelien, Chalumeau, Deborah C. Good, Joseph Simon, Gabriella Agazie, Akash, Anumarlapudi, Anne M. Archibald, Zaven Arzoumanian, Paul T. Baker, Paul R., Brook, H. Thankful Cromartie, Kathryn Crowter, Megan E. DeCesar

TL;DR
This study investigates how different chromatic noise models influence the characterization of achromatic noise in pulsar timing data, revealing significant effects on noise properties and implications for gravitational wave detection sensitivity.
Contribution
The paper compares multiple chromatic noise models on six pulsars, demonstrating their impact on achromatic noise estimates and suggesting improvements for gravitational wave searches.
Findings
Chromatic noise model choice significantly affects pulsar noise properties.
For PSR J1713+0747, red noise amplitude and spectral index vary notably with models.
Discrepancies with EPTA DR2 highlight areas for noise model refinement.
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 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…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Geophysics and Gravity Measurements · Advanced Frequency and Time Standards
