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Evaluating the prevalence of spurious correlations in simulated pulsar timing array datasets

Commonwealth Scientific and Industrial Research Organisation
Zic, Andrew ; Hobbs, George ; Shannon, Ryan ; Reardon, Daniel ; Goncharov, Boris ; Bhat, Ramesh ; Cameron, Andrew ; Dai, Shi ; Dawson, Joanne ; Matthew, Kerr ; Manchester, Dick ; Mandow, Rami ; Marshman, Tommy ; Russell, Chris ; Thyagarajan, Nithyanandan ; Zhu, Xingjiang
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/3yj4-rx31&rft.title=Evaluating the prevalence of spurious correlations in simulated pulsar timing array datasets&rft.identifier=10.25919/3yj4-rx31&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=This dataset contains simulated pulsar timing array data based on the Parkes Pulsar Timing Array second data release. The dataset is described in detail in Zic et al. (2022) – its main purpose is to test the behaviour of gravitational wave inference pipelines for the presence of a common-spectrum noise process under datasets with increasingly disparate timing noise properties across pulsars.The simulated datasets were produced using PTASimulate. Posterior samples and optimal statistic results were computed using ENTERPRISE (Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE).&rft.creator=Zic, Andrew &rft.creator=Hobbs, George &rft.creator=Shannon, Ryan &rft.creator=Reardon, Daniel &rft.creator=Goncharov, Boris &rft.creator=Bhat, Ramesh &rft.creator=Cameron, Andrew &rft.creator=Dai, Shi &rft.creator=Dawson, Joanne &rft.creator=Matthew, Kerr &rft.creator=Manchester, Dick &rft.creator=Mandow, Rami &rft.creator=Marshman, Tommy &rft.creator=Russell, Chris &rft.creator=Thyagarajan, Nithyanandan &rft.creator=Zhu, Xingjiang &rft.date=2022&rft.edition=v1&rft_rights=All Rights (including copyright) CSIRO 2022.&rft_rights=Creative Commons Attribution-Share Alike https://creativecommons.org/licenses/by-sa/4.0/&rft_subject=Pulsars&rft_subject=simulations&rft_subject=PPTA&rft_subject=gravitational waves&rft_subject=radio astronomy&rft_subject=Astronomical and Space Sciences not elsewhere classified&rft_subject=PHYSICAL SCIENCES&rft_subject=ASTRONOMICAL AND SPACE SCIENCES&rft.type=dataset&rft.language=English Access the data
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All Rights (including copyright) CSIRO 2022.

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Brief description

This dataset contains simulated pulsar timing array data based on the Parkes Pulsar Timing Array second data release. The dataset is described in detail in Zic et al. (2022) – its main purpose is to test the behaviour of gravitational wave inference pipelines for the presence of a common-spectrum noise process under datasets with increasingly disparate timing noise properties across pulsars.

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The simulated datasets were produced using PTASimulate. Posterior samples and optimal statistic results were computed using ENTERPRISE (Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE).

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Subjects
Astronomical and Space Sciences | Astronomical and Space Sciences Not Elsewhere Classified | Physical Sciences | PPTA | Pulsars | gravitational waves | radio astronomy | simulations |

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