Embedded Files
Inference
Results
A note of caution when interpreting the scores: since the EoR signal has not yet been detected, various models exist, each producing different predictions. As such, the challenge scores do not reflect absolute accuracy. A high score may result from an inference model that happens to align closely with the simulation model used to generate the data—this does not necessarily indicate better agreement with real observational data.
PS1 results (simulator: pyC2Ray)
PS1 results (simulator: pyC2Ray)
Marginalised 1D probability for the neutral fraction for all teams (lines), compared with the input range (shaded area)
Top teams scoring over 0.1
Cantabrigians
Imperial-Notthingham
ToSKA-SBI general
ToSKA-model selection
Shuimu-Tianlai C
Shuimu-Tianlai B
Shuimu-Tianlai A
EoR-PIE
Loreli B
21 To Infinities
RISE
COTSS-21
Historians ANN
PS2 results (simulator: py21cmFAST)
PS2 results (simulator: py21cmFAST)
Marginalised 1D probability for the neutral fraction for all teams (lines), compared with the input range (shaded area)
Top 10 scoring teams:
Top teams scoring over 0.1
Cantabrigians
Akashanga
Mordern SEarCH
Traditional SEarCH
ToSKA-model selection
ToSKA Explicit likelihood
YEYE
Imperial-Nottingham
COTSS-21
Shuimu-Tianlai A
ToSKA-SBI general
EoR-PIE
PS3 results (simulator: py21cmFAST)
PS3 results (simulator: py21cmFAST)
Marginalised 1D probability for the neutral fraction for all teams (lines), compared with the input range (shaded area)
Top scoring teams
Modern_SEarCH
HIMALAYA
YEYE
Traditional SEarCH
IM1 results (simulator: py21cmFAST)
IM1 results (simulator: py21cmFAST)
Marginalised 1D probability for the neutral fraction for all teams (lines), compared with the input range (shaded area)
Top scoring teams:
YEYE
HIMALAYA
Traditional_SEarCH, Modern_SEarCH
Page updated
Report abuse