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Original file line number | Diff line number | Diff line change |
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using FITSIO | ||
using Pkg | ||
using Dates | ||
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function make_ccf_fits_header(metadata::AbstractDict; line_list_filename::Union{Nothing,String} = "unknown", | ||
v::Union{Nothing,Float64} = nothing, e_v::Union{Nothing,Float64} = nothing, | ||
blue_ord::Union{Nothing,Int64} = nothing, red_ord::Union{Nothing,Int64} = nothing, | ||
mask_shape::Union{Nothing,String} = nothing, wave_cal::Union{Nothing,String} = nothing, | ||
blazenorm::Union{Nothing,Bool} = nothing, contnorm::Union{Nothing,Bool} = nothing, | ||
div_tell::Union{Nothing,Bool} = nothing, rawnorm::Union{Nothing,Bool} = nothing | ||
) | ||
header_dict = Dict{String,Tuple{Any,String}}("VERSION"=>(string(Pkg.project().version), string(Pkg.project().name) * " code version")) | ||
# Add version info for packages used | ||
deps = Pkg.dependencies() | ||
for (uuid, dep) in deps | ||
dep.is_direct_dep || continue | ||
dep.version === nothing && continue | ||
header_dict["VERSION_" * dep.name] = (string(dep.version), "version of package dependancy") | ||
end | ||
# header fields similar to EXPRES CCFs | ||
header_dict["DATE-CCF"] = (string(Dates.now()), "Date and time of CCF calculation") | ||
if hasproperty(metadata,:Filename) | ||
header_dict["FILENAME"] = (last(splitpath(metadata[:Filename])), "Original filename") | ||
end | ||
if hasproperty(metadata,:bjd) | ||
header_dict["MJD"] = (metadata[:bjd], "MJD of geometric midpoint") | ||
end | ||
if !isnothing(line_list_filename) | ||
header_dict["MASK"] = (line_list_filename, "CCF mask linelist used") | ||
end | ||
# Skipped: EXPCOUNT, SNR, V, E_V, CHI2, BLUE_ORD, RED_ORD | ||
if !isnothing(mask_shape) | ||
header_dict["WINDOW"] = (mask_shape, "Shape of CCF mask used in CCF") | ||
end | ||
# Skipped BARYCOR | ||
if hasproperty(metadata,:airmass) | ||
header_dict["AIRMASS"] = (metadata[:airmass], "Airmass of exposure") | ||
end | ||
# Skipped EXPTIME | ||
if hasproperty(metadata,:expres_epoch) | ||
header_dict["RVEPOCH"] = (metadata[:expres_epoch], "RV calibration epoch") | ||
end | ||
if hasproperty(metadata,:wave_cal) | ||
header_dict["WAVE_CAL"] = (wave_cal, "Wavelength calibration used when computing CCF") | ||
end | ||
# Skipped CCOR | ||
if !isnothing(blazenorm) | ||
header_dict["BLAZE"] = (blazenorm, "Pixels weighted by blaze in CCF") | ||
end | ||
if !isnothing(contnorm) | ||
header_dict["CONTNORM"] = (contnorm, "Continuum normalized spectrum in CCF") | ||
end | ||
# Skipped SUB_CONT | ||
if !isnothing(div_tell) | ||
header_dict["DIV_TELL"] = (div_tell, "Tellurics divided before CCF") | ||
end | ||
# Skipped PLATESCL | ||
# Added some that I thought might be useful to have | ||
if hasproperty(metadata,:normalization) | ||
header_dict["NORMALIZATION"] = (string(metadata[:normalization]), "How spectrum was normalized before computing CCF") | ||
end | ||
if hasproperty(metadata,:snr_prelim) | ||
header_dict["SNR_PRELIM"] = (string(metadata[:snr_prelim]), "Something related to SNR, but different from what EXPRES provided") | ||
end | ||
if hasproperty(metadata,:pwv) | ||
header_dict["PWV"] = (metadata[:pwv], "precip. water vabor") | ||
end | ||
if hasproperty(metadata,:sundist) | ||
header_dict["SUN_DIST"] = (metadata[:sundist], "Distance to sun") | ||
end | ||
if hasproperty(metadata,:moondist) | ||
header_dict["MOON_DIST"] = (metadata[:moondist], "Distance to moon") | ||
end | ||
fits_header = FITSHeader(collect(keys(header_dict)),first.(values(header_dict)),last.(values(header_dict))) | ||
end | ||
|
||
function write_ccf_fits(filename::String, v_grid::AbstractArray{T1,1}, ccf_total::AbstractArray{T2,1}, ccf_total_var::AbstractArray{T3,1}; | ||
orders::AbstractArray{T4,1}=zeros(Int64,0), ccf_orders::AbstractArray{T5,2}=zeros(T2,0,0), ccf_orders_var::AbstractArray{T6,2}=zeros(T3,0,0), | ||
fits_hdr::FITSHeader #=, order_vels::AbstractArray{T7,1}, order_sigma_vels::AbstractArray{T8,1} =# ) where { | ||
T1<:Real, T2<:Real, T3<:Real, T4<:Real, T5<:Real, T6<:Real } | ||
f = FITS(filename, "w") | ||
write(f,UInt8[],header=fits_hdr) | ||
t2 = Dict("V_grid"=>collect(v_grid),"ccf"=>ccf_total,"e_ccf"=>sqrt.(ccf_total_var) ) | ||
write(f,t2,name="ccf_total") | ||
if length(orders) > 0 && length(ccf_orders) > 0 && length(ccf_orders_var) > 0 | ||
t3 = Dict("orders"=>convert.(Int64,orders),"ccfs"=>ccf_orders,"errs"=>sqrt.(ccf_orders_var) ) | ||
#,"v" => order_vels,"e_v" => order_sigma_vels) | ||
write(f,t3,name="ccf_order") | ||
end | ||
close(f) | ||
end | ||
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||
function write_each_ccf_fits(metadata::AbstractArray{Dict{Symbol,Any},1}, v_grid::AbstractArray{T1,1}, ccf_total::AbstractArray{T2,2}, ccf_total_var::AbstractArray{T3,2}; | ||
orders::AbstractArray{T4,1}=zeros(Int64,0), ccf_orders::AbstractArray{T5,3}=zeros(T2,0,0,size(ccf_total,2)), ccf_orders_var::AbstractArray{T6,3}=zeros(T3,0,0,size(ccf_total,2)), | ||
fits_hdr::FITSHeader #=, order_vels::AbstractArray{T7,1}, order_sigma_vels::AbstractArray{T8,1} =# ) where { | ||
T1<:Real, T2<:Real, T3<:Real, T4<:Real, T5<:Real, T6<:Real } | ||
@assert length(metadata) == size(ccf_total,2) == size(ccf_total_var,2) | ||
num_files = length(metadata) | ||
for i in 1:num_files | ||
fits_fn = last(splitpath(metadata[i][:Filename])) | ||
ccf_fn = replace(fits_fn, ".fits" => "_ccf.fits") | ||
fits_hdr = make_ccf_fits_header(metadata[i]) | ||
write_ccf_fits(ccf_fn, v_grid, ccf_total[:,i], ccf_total_var[:,i], | ||
orders=orders, ccf_orders=ccf_orders[:,:,i], ccf_orders_var=ccf_orders_var[:,:,i], | ||
fits_hdr=fits_hdr ) | ||
#break | ||
end | ||
end |