Rapid Construction of Joint Pulsar Timing Array Datasets: The Lite Method
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| Format: | Preprint |
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2025
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| author | Larsen, Bjorn Mingarelli, Chiara M. F. Baker, Paul T. Hazboun, Jeffrey S. Chen, Siyuan Schult, Levi Taylor, Stephen R. Simon, Joseph Antoniadis, John Baier, Jeremy Caballero, R. Nicolaos Chalumeau, Aurélien Chen, Zu-Cheng Cognard, Ismael Deb, Debabrata Di Marco, Valentina Dolch, Timothy Eya, Innocent O. Ferrara, Elizabeth C. Gersbach, Kyle A. Good, Deborah C. Hu, Huanchen Kapur, Agastya Kala, Shubham Kramer, Michael Lam, Michael T. Lamb, William G. Lazio, T. Joseph W. Liu, Kuo Liu, Yang McLaughlin, Maura Nice, David J. Perera, Benetge B. P. Petiteau, Antoine Ransom, Scott M. Reardon, Daniel J. Russell, Christopher J. Shaifullah, Golam M. Speri, Lorenzo Srivastava, Aman Theureau, Gilles Wang, Jingbo Wang, Jun Zhang, Lei |
| author_facet | Larsen, Bjorn Mingarelli, Chiara M. F. Baker, Paul T. Hazboun, Jeffrey S. Chen, Siyuan Schult, Levi Taylor, Stephen R. Simon, Joseph Antoniadis, John Baier, Jeremy Caballero, R. Nicolaos Chalumeau, Aurélien Chen, Zu-Cheng Cognard, Ismael Deb, Debabrata Di Marco, Valentina Dolch, Timothy Eya, Innocent O. Ferrara, Elizabeth C. Gersbach, Kyle A. Good, Deborah C. Hu, Huanchen Kapur, Agastya Kala, Shubham Kramer, Michael Lam, Michael T. Lamb, William G. Lazio, T. Joseph W. Liu, Kuo Liu, Yang McLaughlin, Maura Nice, David J. Perera, Benetge B. P. Petiteau, Antoine Ransom, Scott M. Reardon, Daniel J. Russell, Christopher J. Shaifullah, Golam M. Speri, Lorenzo Srivastava, Aman Theureau, Gilles Wang, Jingbo Wang, Jun Zhang, Lei |
| contents | The International Pulsar Timing Array (IPTA)'s second data release (IPTA DR2) combines decades of observations of 65 millisecond pulsars from 7 radio telescopes. IPTA datasets should be the most sensitive datasets to nanohertz gravitational waves (GWs), but take years to assemble, often excluding valuable recent data. To address this, we introduce the IPTA "Lite" analysis, where a Figure of Merit is used to select an optimal PTA dataset to analyze for each pulsar, enabling immediate access to new data and preliminary results prior to full combination. We test the capabilities of the Lite analysis using IPTA DR2, finding that "DR2 Lite" can be used to detect the common red noise process with an amplitude of $A = 4.8^{+1.8}_{-1.8} \times 10^{-15}$ at $γ= 13/3$. This amplitude is slightly large in comparison to the combined analysis, and likely biased high as DR2 Lite is more sensitive to systematic errors from individual pulsars than the full dataset. Furthermore, although there is no strong evidence for Hellings-Downs correlations in IPTA DR2, we still find the full dataset is better at resolving Hellings-Downs correlations than DR2 Lite. Alongside the Lite analysis, we also find that analyzing a subset of pulsars from IPTA DR2, available at a hypothetical "early" stage of combination (EDR2), yields equally competitive results as the full dataset. Looking ahead, the Lite method will enable rapid synthesis of the latest PTA data, offering preliminary GW constraints before the superior full dataset combinations are available. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_20949 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Rapid Construction of Joint Pulsar Timing Array Datasets: The Lite Method Larsen, Bjorn Mingarelli, Chiara M. F. Baker, Paul T. Hazboun, Jeffrey S. Chen, Siyuan Schult, Levi Taylor, Stephen R. Simon, Joseph Antoniadis, John Baier, Jeremy Caballero, R. Nicolaos Chalumeau, Aurélien Chen, Zu-Cheng Cognard, Ismael Deb, Debabrata Di Marco, Valentina Dolch, Timothy Eya, Innocent O. Ferrara, Elizabeth C. Gersbach, Kyle A. Good, Deborah C. Hu, Huanchen Kapur, Agastya Kala, Shubham Kramer, Michael Lam, Michael T. Lamb, William G. Lazio, T. Joseph W. Liu, Kuo Liu, Yang McLaughlin, Maura Nice, David J. Perera, Benetge B. P. Petiteau, Antoine Ransom, Scott M. Reardon, Daniel J. Russell, Christopher J. Shaifullah, Golam M. Speri, Lorenzo Srivastava, Aman Theureau, Gilles Wang, Jingbo Wang, Jun Zhang, Lei High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics The International Pulsar Timing Array (IPTA)'s second data release (IPTA DR2) combines decades of observations of 65 millisecond pulsars from 7 radio telescopes. IPTA datasets should be the most sensitive datasets to nanohertz gravitational waves (GWs), but take years to assemble, often excluding valuable recent data. To address this, we introduce the IPTA "Lite" analysis, where a Figure of Merit is used to select an optimal PTA dataset to analyze for each pulsar, enabling immediate access to new data and preliminary results prior to full combination. We test the capabilities of the Lite analysis using IPTA DR2, finding that "DR2 Lite" can be used to detect the common red noise process with an amplitude of $A = 4.8^{+1.8}_{-1.8} \times 10^{-15}$ at $γ= 13/3$. This amplitude is slightly large in comparison to the combined analysis, and likely biased high as DR2 Lite is more sensitive to systematic errors from individual pulsars than the full dataset. Furthermore, although there is no strong evidence for Hellings-Downs correlations in IPTA DR2, we still find the full dataset is better at resolving Hellings-Downs correlations than DR2 Lite. Alongside the Lite analysis, we also find that analyzing a subset of pulsars from IPTA DR2, available at a hypothetical "early" stage of combination (EDR2), yields equally competitive results as the full dataset. Looking ahead, the Lite method will enable rapid synthesis of the latest PTA data, offering preliminary GW constraints before the superior full dataset combinations are available. |
| title | Rapid Construction of Joint Pulsar Timing Array Datasets: The Lite Method |
| topic | High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2503.20949 |