Issue |
A&A
Volume 697, May 2025
|
|
---|---|---|
Article Number | A25 | |
Number of page(s) | 13 | |
Section | Astrophysical processes | |
DOI | https://doi.org/10.1051/0004-6361/202348475 | |
Published online | 01 May 2025 |
The impact of outliers on pulsar timing array signals
1
Dipartimento di Fisica “G. Occhialini”, Università degli Studi di Milano-Bicocca, Piazza della Scienza 3, I-20126 Milano, Italy
2
INFN, Sezione di Milano-Bicocca, Piazza della Scienza 3, I-20126 Milano, Italy
3
INAF – Osservatorio Astronomico di Cagliari, Via della Scienza 5, 09047 Selargius (CA), Italy
4
INAF – Osservatorio Astronomico di Brera, Via Brera 20, I-20121 Milano, Italy
⋆ Corresponding author: g.fumagalli47@campus.unimib.it
Received:
2
November
2023
Accepted:
16
March
2025
The detection of gravitational waves with pulsar timing arrays (PTAs) requires precise measurements of the difference between the pulsars’ timing models and their observed pulses as well as dealing with numerous and sometimes hard-to-diagnose sources of noise. Outliers may have an impact on this already difficult procedure, especially if the methods used are not robust to such anomalous observations. Until now, no complete and practical quantification of their effects on PTA data has been provided. With this work, we aim to fill this gap. We corrupted simulated datasets featuring an increasing degree of complexity with varying percentages of uniformly distributed outliers and investigated the impact of the latter on the recovery of the injected gravitational wave signals and pulsar noise terms. We find that the gravitational wave signal, due to its expected correlation, is more robust against these anomalous observations when compared to the other injected processes. This result is especially relevant in the context of the emerging statistical evidence for the gravitational wave background in PTA datasets, further strengthening those claims.
Key words: gravitation / gravitational waves / methods: data analysis / pulsars: general
© The Authors 2025
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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