Initialization and model selection

calculate_initial_model(data; kwargs...)

Find a SSOF model for a given dataset, data. Defaults to returning the AIC-minimum model

Optional arguments

• instrument::String="None": The name of the instrument(s) the data was taken from. For bookkeeping
• desired_order::Int=0: What order (if any) the data was taken from. For bookkeeping
• star::String="None": The name of the star the data was taken from. For bookkeeping
• times::AbstractVector=1:size(data.flux, 2): The list of times (in days). Used to calculate intra-night RMS
• μ_min::Real=0: Set the minimum flux value for the output of make_template()
• μ_max::Real=Inf: Set the maximum flux value for the output of make_template()
• use_mean::Bool=true: Whether to use the mean or median for make_template()
• stop_early::Bool=false: Whether to stop the model search the first time adding a component increases the AIC
• remove_reciprocal_continuum::Bool=false: Whether you should attempt to remove places where the telluric template and stellar template are opposing each other (i.e. where continuum goes up in one and down in the other)
• return_full_path::Bool=false: Whether to return all of the searched models and metrics
• max_n_tel::Int=5: The maximum amount of telluric feature vectors to look for
• max_n_star::Int=5: The maximum amount of stellar feature vectors to look for
• use_all_comps::Bool=false: Whether to use all feature vectors, regardless of AIC
• careful_first_step::Bool=true: Whether to shrink the learning rates until the loss improves on the first iteration
• speed_up::Bool=false: Whether to inflate the learning rates until the loss is no longer improving throughout the optimization
• log_λ_gp_star::Real=1/SOAP_gp_params.λ: The log λ lengthscale of the stellar regularization GP
• log_λ_gp_tel::Real=1/LSF_gp_params.λ: The log λ lengthscale of the telluric regularization GP
• kwargs...: kwargs passed to OrderModel constructor