Data from: A Search for Technosignatures Around 11,680 Stars with the Green Bank Telescope at 1.15–1.73 GHz
Data files
Jun 13, 2025 version files 4.35 GB
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GBT20200422.csv
1.12 GB
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GBT20210428.csv
1.05 GB
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GBT20220522.csv
992.19 MB
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GBT20230513.csv
1.19 GB
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README.md
2.66 KB
Abstract
This dataset describes candidate signal detections obtained at the Green Bank Telescope in 2020–2023 and processed with the UCLA SETI data processing pipeline.
We conducted a search for narrowband radio signals over four observing sessions in 2020–2023 with the L-band receiver (1.15–1.73 GHz) of the 100 m diameter Green Bank Telescope. We pointed the telescope in the directions of 62 TESS Objects of Interest, capturing radio emissions from a total of ∼11,680 stars and planetary systems in the ∼9′ beam of the telescope. All detections were either automatically rejected or visually inspected and confirmed to be of anthropogenic nature. We also quantified the end-to-end efficiency of radio SETI pipelines with a signal injection and recovery analysis. The UCLA SETI pipeline recovers 94.0% of the injected signals over the usable frequency range of the receiver and 98.7% of the injections when regions of dense radio frequency interference are excluded. In another pipeline that uses incoherent sums of 51 consecutive spectra, the recovery rate is ∼15 times smaller at ∼6%. The pipeline efficiency affects calculations of transmitter prevalence and SETI search volume. Accordingly, we developed an improved Drake figure of merit and a formalism to place upper limits on transmitter prevalence that take the pipeline efficiency and transmitter duty cycle into account. Based on our observations, we can state at the 95% confidence level that fewer than 6.6% of stars within 100 pc host a transmitter that is continuously transmitting a narrowband signal with an equivalent isotropic radiated power (EIRP) > 1013 W. For stars within 20,000 ly, the fraction of stars with detectable transmitters (EIRP > 5 × 1016 W) is at most 3 × 10−4. Finally, we showed that the UCLA SETI pipeline natively detects the signals detected with AI techniques by Ma et al.
Dataset DOI: 10.5061/dryad.wm37pvn0b
Description of the data and file structure
This dataset describes the results of a search for technosignatures in the directions of 62 stars, capturing radio emissions from a total of ∼11,680 stars and planetary systems in the ~9 arcminute beam of the L-band receiver (1.15–1.73 GHz) of the 100 m diameter Green Bank Telescope. Data were processed with the UCLA SETI data processing pipeline.
Files and variables
Files: GBT20200422.csv, GBT20210428.csv, GBT20220522.csv, GBT20230513.csv
Description:
Each file is a comma-separated-values list of candidate technosignatures obtained on 20200422, 20210428, 20220522, and 20230513, respectively.
Variables
The field descriptions are as follows:
- ID: a unique integer identifier for the signal
- NAME: the name of the source
- SCAN: the scan index number (1, 2) for the source
- MJD: the Modified Julian Date at the start of the scan
- FREQ: the frequency (Hz) at the start of the scan
- DFDT: the rate of change in frequency (Hz/s)
- Z: the signal power integrated over the scan duration aka Z score (standard deviations of the noise)
- PROM: the signal power integrated over the scan duration measured with respect to the local noise baseline (standard deviations of the noise)
- BW: an estimate of the bandwidth (FWHM) of the signal (Hz)
- FSNR: a flag set to Y if signal power exceeds detection threshold
- FDOP: a flag set to Y if DFDT is not zero
- FBTH: a flag set to Y if signal is detected in both scans of this source
- FOTH: a flag set to Y if signal is not detected in scans of other sources
- FAND: a flag set to Y if FSNR=FDOP=FBTH=FOTH=Y
- PARTNER: the ID of the signal in a subsequent scan of this source, if known
- RFICODE: an identifier for the probable source of radio frequency interference (RFI)
- NOTES: additional notes
+---------+--------------+
| Field | Type |
+---------+--------------+
| ID | int(11) |
| NAME | varchar(50) |
| SCAN | int(11) |
| MJD | double(16,8) |
| FREQ | double(20,6) |
| DFDT | double(14,8) |
| Z | double(15,3) |
| PROM | double(15,3) |
| BW | double(8,1) |
| FSNR | char(1) |
| FDOP | char(1) |
| FBTH | char(1) |
| FOTH | char(1) |
| FAND | char(1) |
| PARTNER | int(11) |
| RFICODE | char(5) |
| NOTES | text |
+---------+--------------+
Code/software
Any software that can read comma-separated-values files.
