Abstract
We present the results from the first two years of the Planet Hunters
TESS (PHT) citizen science project, which identifies planet candidates
in the TESS (Transiting Exoplanet Survey Satellite) data by engaging
members of the general public. Over 22 000 citizen scientists from
around the world visually inspected the first 26 sectors of TESS data in
order to help identify transit-like signals. We use a clustering
algorithm to combine these classifications into a ranked list of events
for each sector, the top 500 of which are then visually vetted by the
science team. We assess the detection efficiency of this methodology by
comparing our results to the list of TESS Objects of Interest (TOIs) and
show that we recover 85 per cent of the TOIs with radii greater than 4
R⊕ and 51 per cent of those with radii between 3 and 4
R⊕. Additionally, we present our 90 most promising
planet candidates that had not previously been identified by other
teams, 73 of which exhibit only a single-transit event in the TESS light
curve, and outline our efforts to follow these candidates up using
ground-based observatories. Finally, we present noteworthy stellar
systems that were identified through the Planet Hunters TESS project.
Original language | English |
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Pages (from-to) | 4669-4690 |
Journal | Monthly Notices of the Royal Astronomical Society |
Volume | 501 |
Issue number | 4 |
Early online date | 08 Dec 2020 |
DOIs | |
Publication status | Published - 01 Mar 2021 |
Keywords
- methods: data analysis
- catalogues
- planets and satellites: detection
- planets and satellites: general
- planetary systems