Prospects for identifying pulsar candidates in radio surveys using scintillation
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arXiv
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| Format: | Preprint |
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2026
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| _version_ | 1866908748284428288 |
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| author | Salal, Jitendra Tendulkar, Shriharsh P. Marthi, Visweshwar Ram |
| author_facet | Salal, Jitendra Tendulkar, Shriharsh P. Marthi, Visweshwar Ram |
| contents | In our previous paper, we developed a technique for identifying pulsar candidates in interferometric radio images using their distinctive scintillation signatures. Building on this technique, the present study simulates a pulsar population using the PsrPopPy Python module to investigate the technique's limitations and detection capabilities. Among pulsars detectable exclusively by this technique, 50% have duty cycles exceeding the mean value of 0.09 observed in time-domain detections. Our pulsar population simulations revealed a set of observational parameters that optimize pulsar detection. An observation frequency of ~ 1420 MHz and a channel width of ~10 kHz emerge as the optimal configuration to maximize the pulsar detection efficiency. By applying a scintillation-based technique to future radio telescopes like DSA-2000, we can detect 56% of normal pulsars and 84% of MSPs in addition to those detected using non-imaging, time-domain surveys. These detected pulsars cannot be verified by time-domain searches. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2601_02097 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Prospects for identifying pulsar candidates in radio surveys using scintillation Salal, Jitendra Tendulkar, Shriharsh P. Marthi, Visweshwar Ram Instrumentation and Methods for Astrophysics In our previous paper, we developed a technique for identifying pulsar candidates in interferometric radio images using their distinctive scintillation signatures. Building on this technique, the present study simulates a pulsar population using the PsrPopPy Python module to investigate the technique's limitations and detection capabilities. Among pulsars detectable exclusively by this technique, 50% have duty cycles exceeding the mean value of 0.09 observed in time-domain detections. Our pulsar population simulations revealed a set of observational parameters that optimize pulsar detection. An observation frequency of ~ 1420 MHz and a channel width of ~10 kHz emerge as the optimal configuration to maximize the pulsar detection efficiency. By applying a scintillation-based technique to future radio telescopes like DSA-2000, we can detect 56% of normal pulsars and 84% of MSPs in addition to those detected using non-imaging, time-domain surveys. These detected pulsars cannot be verified by time-domain searches. |
| title | Prospects for identifying pulsar candidates in radio surveys using scintillation |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2601.02097 |