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Query : 2022AJ....163...76P |
2022AJ....163...76P - Astron. J., 163, 76-76 (2022/February-0)
A machine learning-based direction-of-origin filter for the identification of Radio frequency interference in the search for technosignatures.
PINCHUK P. and MARGOT J.-L.
Abstract (from CDS):
Abstract Copyright: © 2022. The Author(s). Published by the American Astronomical Society.
Journal keyword(s): Search for extraterrestrial intelligence - Technosignatures - Astrobiology - Radio astronomy - Convolutional neural networks
Simbad objects: 5
Number of rows : 5 |
N | Identifier | Otype |
ICRS (J2000) RA |
ICRS (J2000) DEC |
Mag U | Mag B | Mag V | Mag R | Mag I | Sp type |
#ref
1850 - 2024 |
#notes |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | G 268-38 | PM* | 00 44 59.3309137511 | -15 16 17.542839990 | 14.150 | 13.801 | M4.5V | 142 | 0 | |||
2 | FRB 20181119D | rB | 05 31 58.6980 | +33 08 52.588 | ~ | 720 | 0 | |||||
3 | Kepler-90 | EB* | 18 57 44.0383126392 | +49 18 18.496454184 | 14.604 | 13.896 | 13.713 | G2 | 122 | 0 | ||
4 | Kepler-80 | Er* | 19 44 27.0200680656 | +39 58 43.594100688 | 16.303 | 15.201 | 14.866 | M0V | 139 | 1 | ||
5 | TRAPPIST-1 | LM* | 23 06 29.3684948589 | -05 02 29.037301866 | 18.798 | 16.466 | 14.024 | M7.5e | 997 | 0 |
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