Table 1.

Symbols and notations with corresponding meanings.

SymbolMeaning
|$N_{\theta }$|Number of training points
|$N_{k}$|Number of wavenumbers
|$N_{z}$|Number of redshifts
|$\boldsymbol{x}$|The data vector of size N
|$\boldsymbol{\theta }$|Inputs to the emulator of size p
|$\Theta$|Input training set of size |$N_{\theta }\times p$|
|$\boldsymbol{y}_{k}$|Output of size |$N_{k}$|
|$\boldsymbol{y}_{G}$|Output of size |$N_{z}$|
|$\textsf {Y}_{k}$|Output training set of size |$N_{\theta }\times N_{k}$|
|$\textsf {Y}_{G}$|Output training set of size |$N_{\theta }\times N_{z}$|
SymbolMeaning
|$N_{\theta }$|Number of training points
|$N_{k}$|Number of wavenumbers
|$N_{z}$|Number of redshifts
|$\boldsymbol{x}$|The data vector of size N
|$\boldsymbol{\theta }$|Inputs to the emulator of size p
|$\Theta$|Input training set of size |$N_{\theta }\times p$|
|$\boldsymbol{y}_{k}$|Output of size |$N_{k}$|
|$\boldsymbol{y}_{G}$|Output of size |$N_{z}$|
|$\textsf {Y}_{k}$|Output training set of size |$N_{\theta }\times N_{k}$|
|$\textsf {Y}_{G}$|Output training set of size |$N_{\theta }\times N_{z}$|
Table 1.

Symbols and notations with corresponding meanings.

SymbolMeaning
|$N_{\theta }$|Number of training points
|$N_{k}$|Number of wavenumbers
|$N_{z}$|Number of redshifts
|$\boldsymbol{x}$|The data vector of size N
|$\boldsymbol{\theta }$|Inputs to the emulator of size p
|$\Theta$|Input training set of size |$N_{\theta }\times p$|
|$\boldsymbol{y}_{k}$|Output of size |$N_{k}$|
|$\boldsymbol{y}_{G}$|Output of size |$N_{z}$|
|$\textsf {Y}_{k}$|Output training set of size |$N_{\theta }\times N_{k}$|
|$\textsf {Y}_{G}$|Output training set of size |$N_{\theta }\times N_{z}$|
SymbolMeaning
|$N_{\theta }$|Number of training points
|$N_{k}$|Number of wavenumbers
|$N_{z}$|Number of redshifts
|$\boldsymbol{x}$|The data vector of size N
|$\boldsymbol{\theta }$|Inputs to the emulator of size p
|$\Theta$|Input training set of size |$N_{\theta }\times p$|
|$\boldsymbol{y}_{k}$|Output of size |$N_{k}$|
|$\boldsymbol{y}_{G}$|Output of size |$N_{z}$|
|$\textsf {Y}_{k}$|Output training set of size |$N_{\theta }\times N_{k}$|
|$\textsf {Y}_{G}$|Output training set of size |$N_{\theta }\times N_{z}$|
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