Update documentation to be accurate and address TODOs

[hematthi]

EchelleCCFs.jl/src/masks/io.jl

Lines 24 to 51 in a639217

	""" Read line list in VALD csv format.
	VALD format: lambda_lo, lambdaa_hi and depth.
	convert_air_to_vacuum determines whether to convert to vacuum wavelengths.
	"""
	function read_linelist_vald(fn::String; convert_air_to_vacuum::Bool = true)
	local df = CSV.read(fn,DataFrame,threaded=false,header=["lambda","depth"])
	@assert hasproperty(df, :lambda)
	@assert hasproperty(df, :depth)
	if convert_air_to_vacuum
	df[!,:lambda] .= λ_air_to_vac.(df[!,:lambda])
	end
	df[!,:weight] = df[!,:depth] # TODO: Decide out what we want to do about tracking depths and weights sepoarately
	return df
	end
	""" Read line list in csv format.
	format: lambda, weight, lambda_lo, lambdaa_hi.
	Assumes air to vacuumb wavelength conversion has already been applied.
	"""
	function read_linelist_rvspectml(fn::String)
	local df = CSV.read(fn,DataFrame,threaded=false)
	@assert hasproperty(df, :lambda)
	@assert hasproperty(df, :weight) || hasproperty(df, :depth)
	if hasproperty(df, :depth) && !hasproperty(df, :weight)
	df[!,:weight] = df[!,:depth] # TODO: Decide out what we want to do about tracking depths and weights sepoarately
	end
	return df
	end

Docstring says there are lambda_lo and lambda_hi but the functions only use lambda

[hematthi]

Also here:

EchelleCCFs.jl/src/masks/masks.jl

Line 50 in a639217

df[!,:depth] = df[!,:weight] # TODO: Decide out what we want to do about tracking depths and weights sepoarately

EchelleCCFs.jl/src/masks/masks.jl

Line 64 in a639217

df[!,:weight] = df[!,:depth] # TODO: Decide out what we want to do about tracking depths and weights sepoarately