J/AJ/161/55     Observation of 31 G-stars at 1.5GHz with GBT     (Margot+, 2021)

A search for technosignatures around 31 Sun-like stars with the Green Bank Telescope at 1.15-1.73GHz. Margot J.-L., Pinchuk P., Geil R., Alexander S., Arora S., Biswas S., Cebreros J., Desai S.P., Duclos B., Dunne R., Lin Fu K.K., Goel S., Gonzales J., Gonzalez A., Jain R., Lam A., Lewis B., Lewis R., Li G., MacDougall M., Makarem C., Manan I., Molina E., Nagib C., Neville K., O'Toole C., Rockwell V., Rokushima Y., Romanek G., Schmidgall C., Seth S., Shah R., Shimane Y., Singhal M., Tokadjian A., Villafana L., Wang Z., Yun In, Zhu L., Lynch R.S. <Astron. J., 161, 55 (2021)> =2021AJ....161...55M 2021AJ....161...55M
ADC_Keywords: Stars, G-type; Milky Way; Radio sources; Exoplanets; Spectral types; Parallaxes, trigonometric Keywords: Search for extraterrestrial intelligence ; Technosignatures ; Astrobiology ; Exoplanets ; Solar analogs ; Radio astronomy ; Milky Way Galaxy Abstract: We conducted a search for technosignatures in 2018 and 2019 April with the L-band receiver (1.15-1.73GHz) of the 100m diameter Green Bank Telescope. These observations focused on regions surrounding 31 Sun-like stars near the plane of the Galaxy. We present the results of our search for narrowband signals in this data set, as well as improvements to our data processing pipeline. Specifically, we applied an improved candidate signal detection procedure that relies on the topographic prominence of the signal power, which nearly doubles the signal detection count of some previously analyzed data sets. We also improved the direction-of-origin filters that remove most radio frequency interference (RFI) to ensure that they uniquely link signals observed in separate scans. We performed a preliminary signal injection and recovery analysis to test the performance of our pipeline. We found that our pipeline recovers 93% of the injected signals over the usable frequency range of the receiver and 98% if we exclude regions with dense RFI. In this analysis, 99.73% of the recovered signals were correctly classified as technosignature candidates. Our improved data processing pipeline classified over 99.84% of the ∼26million signals detected in our data as RFI. Of the remaining candidates, 4539 were detected outside of known RFI frequency regions. The remaining candidates were visually inspected and verified to be of anthropogenic nature. Our search compares favorably to other recent searches in terms of end-to-end sensitivity, frequency drift rate coverage, and signal detection count per unit bandwidth per unit integration time. Description: We selected 31 Sun-like stars (spectral type G, luminosity class V) with a median galactic latitude of 0.85°. We observed these stars with the Green Bank Telescope (GBT) during two 2hr sessions separated by approximately 1yr. During each observing session, we recorded both linear polarizations of the L-band receiver with the GUPPI back end in its baseband recording mode. The center frequency was set to 1.5GHz, and we sampled 800MHz of bandwidth between 1.1 and 1.9GHz. File Summary: -------------------------------------------------------------------------------- FileName Lrecl Records Explanations -------------------------------------------------------------------------------- ReadMe 80 . This file table1.dat 72 31 *Target host stars listed in order of observation table3.dat 67 20000 Properties of artificial signals used for the signal injection and recovery analysis -------------------------------------------------------------------------------- Note on table1.dat: Spectral types, galactic coordinates, and parallax measurements were obtained from the SIMBAD database. Distances in light years were calculated from the parallax measurements. -------------------------------------------------------------------------------- See also: B/simbad : Simbad objects catalogue (M.Wenger 2000) I/337 : Gaia DR1 (Gaia Collaboration, 2016) I/345 : Gaia DR2 (Gaia Collaboration, 2018) J/ApJS/207/35 : Kepler pipeline signal-to-noise studies (Christiansen+,2013) J/ApJ/767/94 : 1.1-1.9GHz SETI survey of KOIs. I. (Siemion+, 2013) J/AJ/152/181 : SETI observations of exoplanets with the ATA (Harp+, 2016) J/ApJ/869/66 : Search for extraterrestrial intelligence with ATA (Harp+, 2018) J/MNRAS/498/5720 : Extended Breakthrough Listen sample (Wlodarczyk-Sroka+,2020) Byte-by-byte Description of file: table1.dat -------------------------------------------------------------------------------- Bytes Format Units Label Explanations -------------------------------------------------------------------------------- 1- 15 A15 --- Name Target name 17 A1 --- f_Name [a] Flag on Name (1) 19- 21 A3 --- SpT Spectral Type 23- 27 F5.1 deg GLON [185/217] Galactic longitude 29- 33 F5.2 deg GLAT [-2.1/3.13] Galactic latitude 35- 40 F6.4 mas plx [0.31/9.99]? Parallax 42- 47 F6.4 mas e_plx [0.02/0.1]? Error on plx 49- 53 I5 al Dist [327/10407]? Distance 55- 57 I3 al e_Dist [1/850]? Error on Dist 59- 72 F14.8 d MJD [58235.8/58600] Modified Julian Date of scan 1 -------------------------------------------------------------------------------- Note (1): Flag as follows: a = The source paired with TYC 739-1210-1 was observed only once and not analyzed. -------------------------------------------------------------------------------- Byte-by-byte Description of file: table3.dat -------------------------------------------------------------------------------- Bytes Format Units Label Explanations -------------------------------------------------------------------------------- 1- 15 A15 --- Name Target name 17- 17 I1 --- Scan [1/2] Scan number 19- 36 F18.7 Hz Freq [1151579746/1729676870] Frequency of injection at the start of the scan 38- 58 F21.18 Hz/s df/dt [-8.87/8.87] Injected frequency drift rate 60- 61 I2 --- SNR [10/20] Injected signal to noise 63- 63 A1 --- DET? Signal was recovered by the pipeline 65- 67 A3 --- DOO? Direction-of-origin filter made the correct assignment, (Y)es, (N)o, or N/A. -------------------------------------------------------------------------------- History: From electronic version of the journal
(End) Prepared by [AAS], Coralie Fix [CDS], 25-Mar-2021
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