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J/AJ/157/169
13633
Identifying exoplanets with deep learning in K2 (Dattilo+, 2019)
ReadMe+ftp
2019AJ....157..169D
Similar Catalogs
Post annotation
1.
J/AJ/157/169/table3
K2 planet candidate training/validation/test set
(28029 rows)
meta
J/AJ/157/169/table3
Simple Constraint
List Of Constraints
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Constraints
applied on Columns
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Column
Constraint
Explain
(
UCD
)
recno
Record number assigned by the VizieR team. Should Not be used for identification.
(
meta.record
)
(
RECORD
)
EPIC
[200001049/251809648] EPIC identifier
(
meta.id;meta.main
)
(
ID_MAIN
)
Num
[1] Planet number
(
meta.number
)
(
NUMBER
)
Per
d
[0.100011287/63.83604465] Orbital period
(
time.period
)
(
TIME_PERIOD
)
Time
d
[1977.263977/3338.518579] Time of transit (BJD-2454833)
(
time.epoch
)
(
TIME_DATE
)
Dur
h
[0.058113981/131.6147502] Transit duration
(
time.duration
)
(
TIME_INTERVAL
)
Label
(char)
Training label
(Note 1)
(
meta.code
)
(
CODE_MISC
)
Camp
[1/16] Campaign number
(
meta.number
)
(
NUMBER
)
Rp/R*
[0.003345256/101.8716318] Planet to stellar radii ratio
(
phys.size;arith.ratio
)
(
PHYS_SIZE_RATIO
)
IP
[1.18e-06/295.826] Impact parameter
(
src.impactParam
)
(
PHYS_IMPACT-PAR
)
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cols
(i)
indexed column
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UCD1+
UCD1
https://cdsannotations.u-strasbg.fr/annotations/vizierTable//
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