J/AJ/161/273 181 new planet candidates with TESS (Olmschenk+, 2021)
Identifying planetary transit candidates in TESS full-frame image light curves
via Convolutional Neural Networks.
Olmschenk G., Ishitani Silva S., Rau G., Barry R.K., Kruse E.,
Cacciapuoti L., Kostov V., Powell B.P., Wyrwas E., Schnittman J.D.,
Barclay T.
<Astron. J., 161, 273 (2021)>
=2021AJ....161..273O 2021AJ....161..273O
ADC_Keywords: Exoplanets; Optical
Keywords: Exoplanet detection methods ; Exoplanets ; Neural networks ;
Convolutional neural networks
Abstract:
The Transiting Exoplanet Survey Satellite (TESS) mission measured
light from stars in ∼75% of the sky throughout its 2yr primary
mission, resulting in millions of TESS 30-minute-cadence light curves
to analyze in the search for transiting exoplanets. To search this
vast data trove for transit signals, we aim to provide an approach
that both is computationally efficient and produces highly performant
predictions. This approach minimizes the required human search effort.
We present a convolutional neural network, which we train to identify
planetary transit signals and dismiss false positives. To make a
prediction for a given light curve, our network requires no prior
transit parameters identified using other methods. Our network
performs inference on a TESS 30-minute-cadence light curve in ∼5ms on
a single GPU, enabling large-scale archival searches. We present 181
new planet candidates identified by our network, which pass subsequent
human vetting designed to rule out false positives. Our neural network
model is additionally provided as open-source code for public use and
extension.
Description:
This paper includes data collected by the Transiting Exoplanets Survey
Satellite (TESS) mission, which are publicly available from the
Mikulski Archive for Space Telescopes (MAST). We present 181 new
planet candidates identified by our network, which have passed
subsequent human vetting designed to rule out false positives.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
table1.dat 47 185 List of human-vetted planet candidates by TIC ID
with transit parameters
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See also:
I/345 : Gaia DR2 (Gaia Collaboration, 2018)
IV/38 : TESS Input Catalog - v8.0 (TIC-8) (Stassun+, 2019)
J/ApJ/809/77 : Transiting Exoplanet Survey Satellite (TESS) (Sullivan+, 2015)
J/MNRAS/465/2634 : Kepler and K2 best candidates for planets (Armstrong+, 2017)
J/AJ/153/211 : Differential photometry of the F-subgiant HAT-P-67 (Zhou+,2017)
J/ApJS/239/2 : Simulated exoplanets from TESS list of targets (Barclay+, 2018)
J/AJ/156/102 : TESS Input Catalog and Candidate Target List (Stassun+, 2018)
J/AJ/157/124 : DAVE. I. Benchmarking K2 vetting tools (Kostov+, 2019)
J/ApJS/244/11 : Planet candidates and EBs in K2 campaigns 0-8 (Kruse+, 2019)
http://archive.stsci.edu/ : Mikulski Archive for Space Telescopes
Byte-by-byte Description of file: table1.dat
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Bytes Format Units Label Explanations
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1- 9 I9 --- TIC TIC identifier
11- 14 F4.2 Rjup Rad [0.07/1.97]? Radius
16- 18 A3 --- f_Rad Flag on Rad (1)
20- 27 F8.3 d BJD [1325/1872] Transit epoch; BJD-2457000
29- 35 F7.4 d Porb [1.4/19] Orbital period
37- 41 F5.3 h Dur [1.9/7] Transit duration
43- 47 I5 ppm Depth [31/38070] Transit depth
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Note (1): Flags as follows:
a = cases where the contamination ratio of the target is unknown and,
in the radius estimation, zero is used (62 occurrences)
b = cases where a radius could not be estimated owing to a lack of
stellar parameters (1 occurrence)
c = there is ambiguity about whether this target or another marked
with "c" is the candidate host (3 occurrences)
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History:
From electronic version of the journal
(End) Prepared by Coralie Fix [CDS], 16-Aug-2021