The High Time Resolution Universe Pulsar Survey – XIX. A coherent GPU-accelerated reprocessing and the discovery of 71 pulsars in the Southern Galactic plane Article Swipe
Rahul Sengar
,
M. Bailes
,
V. Balakrishnan
,
E D Barr
,
N. D. R. Bhat
,
M. Burgay
,
M. C. i Bernadich
,
A D Cameron
,
D. J. Champion
,
W Chen
,
Chris Flynn
,
A. Jameson
,
S. Johnston
,
M. J. Keith
,
M. Kramer
,
V Morello
,
Cherry Ng
,
Andrea Possenti
,
S. P. Stevenson
,
R. M. Shannon
,
W. van Straten
,
J. Wongphechauxsorn
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/mnras/stae2716
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/mnras/stae2716
We conducted a GPU-accelerated reprocessing of $\sim 87~{{\ \rm per\ cent}}$ of the archival data from the High Time Resolution Universe South Low Latitude (HTRU-S LowLat) pulsar survey by implementing a pulsar search pipeline that was previously used to reprocess the Parkes Multibeam Pulsar Survey (PMPS). We coherently searched the full 72-min observations of the survey with an acceleration search range up to $|50|\, \rm m\, s^{-2}$, which is most sensitive to binary pulsars experiencing nearly constant acceleration during 72 min of their orbital period. Here we report the discovery of 71 pulsars, including six millisecond pulsars, of which five are in binary systems, and seven pulsars with very high dispersion measures (DM $\gt 800 \, \rm pc \, cm^{-3}$). These pulsar discoveries largely arose by folding candidates to a much lower spectral signal-to-noise ratio than in previous surveys and by exploiting the coherence of folding over the incoherent summing of the Fourier components to discover new pulsars as well as candidate classification techniques. We show that these pulsars could be fainter and on average more distant as compared with both the previously reported 100 HTRU-S LowLat pulsars and the background pulsar population in the survey region. We have assessed the effectiveness of our search method and the overall pulsar yield of the survey. We show that through this reprocessing we have achieved the expected survey goals, including the predicted number of pulsars in the survey region, and discuss the major causes why these pulsars were missed in previous processing of the survey.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/mnras/stae2716
- https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stae2716/61205664/stae2716.pdf
- OA Status
- gold
- Cited By
- 4
- References
- 64
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405436723
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4405436723Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/mnras/stae2716Digital Object Identifier
- Title
-
The High Time Resolution Universe Pulsar Survey – XIX. A coherent GPU-accelerated reprocessing and the discovery of 71 pulsars in the Southern Galactic planeWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-12-16Full publication date if available
- Authors
-
Rahul Sengar, M. Bailes, V. Balakrishnan, E D Barr, N. D. R. Bhat, M. Burgay, M. C. i Bernadich, A D Cameron, D. J. Champion, W Chen, Chris Flynn, A. Jameson, S. Johnston, M. J. Keith, M. Kramer, V Morello, Cherry Ng, Andrea Possenti, S. P. Stevenson, R. M. Shannon, W. van Straten, J. WongphechauxsornList of authors in order
- Landing page
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https://doi.org/10.1093/mnras/stae2716Publisher landing page
- PDF URL
-
https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stae2716/61205664/stae2716.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stae2716/61205664/stae2716.pdfDirect OA link when available
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Physics, Pulsar, Galactic plane, Astrophysics, Astronomy, Universe, High resolution, Galaxy, Remote sensing, GeologyTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 4Per-year citation counts (last 5 years)
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64Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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