Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2026
|
| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2605.05408 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866914564047634432 |
|---|---|
| author | Margot, Jean-Luc |
| author_facet | Margot, Jean-Luc |
| contents | We have been conducting a search for narrowband radio signals with the L-band receiver (1.15-1.73 GHz) of the 100 m diameter Green Bank Telescope (Margot et al., 2023). So far, we have captured radio emissions from 70,000+ stars and planetary systems in the ~9 arcminute beam of the telescope. Our data-processing pipeline has a demonstrated 94%-99% efficiency for the detection of narrowband signals across the full range of frequency drift rates (+/-9 Hz/s). All 100 million candidate signals detected to date were either automatically (99.5%) or visually (0.5%) confirmed to be anthropogenic in nature. These results allow us to place stringent limits on transmitter prevalence: at the 95% confidence level, the fraction of stars within 20,000 ly that host a transmitter that is detectable in our search (EIRP > 5e16 W) is <6.3e-5. Our most interesting signals have been uploaded to a citizen science platform (http://arewealone.earth), where 40,000+ volunteers to date have contributed insights and classifications. We are using artificial intelligence (AI) to accelerate our search, automatically excise radio frequency interference, and improve signal detection. UCLA SETI research has involved ~200 undergraduate and ~20 graduate students so far. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_05408 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Results of ten years of UCLA SETI searches with the Green Bank Telescope Margot, Jean-Luc Instrumentation and Methods for Astrophysics We have been conducting a search for narrowband radio signals with the L-band receiver (1.15-1.73 GHz) of the 100 m diameter Green Bank Telescope (Margot et al., 2023). So far, we have captured radio emissions from 70,000+ stars and planetary systems in the ~9 arcminute beam of the telescope. Our data-processing pipeline has a demonstrated 94%-99% efficiency for the detection of narrowband signals across the full range of frequency drift rates (+/-9 Hz/s). All 100 million candidate signals detected to date were either automatically (99.5%) or visually (0.5%) confirmed to be anthropogenic in nature. These results allow us to place stringent limits on transmitter prevalence: at the 95% confidence level, the fraction of stars within 20,000 ly that host a transmitter that is detectable in our search (EIRP > 5e16 W) is <6.3e-5. Our most interesting signals have been uploaded to a citizen science platform (http://arewealone.earth), where 40,000+ volunteers to date have contributed insights and classifications. We are using artificial intelligence (AI) to accelerate our search, automatically excise radio frequency interference, and improve signal detection. UCLA SETI research has involved ~200 undergraduate and ~20 graduate students so far. |
| title | Results of ten years of UCLA SETI searches with the Green Bank Telescope |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2605.05408 |