Loading run.jl +7 −3 Original line number Diff line number Diff line Loading @@ -201,7 +201,8 @@ epoch_ids = Dict( :highres => [5, 7, 13, 17, 20], :test => [7, 13], :limited => [1,2,3,13], :all => collect(5:26)) :all => collect(5:26), :floyds => [6, 8, 9, 10, 11, 12, 14, 15, 16, 18, 19, 21, 22, 23]) # deleteat!(epoch_ids[:all], 4) #insufficient coverage in na_Hg # Can't use resolution smaller than 150 km / s otherwise some line Loading @@ -213,6 +214,7 @@ resolution = Dict() analyze_job(:test) analyze_job(:highres) analyze_job(:all) analyze_job(:floyds) ddd Loading Loading @@ -240,8 +242,10 @@ function cont_at(bestfit, λ) end # Wrap-up chosen_job = :all chosen_iloop = 5 res = JLD2.load_object("output/results_all_5.dat") res = JLD2.load_object("output/results_$(chosen_job)_$(chosen_iloop).dat") tab = DataFrame(epoch=Int[], date=String[], instr=String[], galaxy=Float64[], contslope=Float64[], Loading @@ -256,7 +260,7 @@ tab = DataFrame(epoch=Int[], date=String[], instr=String[], galaxy=Float64[], for id in 1:length(res.multi) push!(tab, (id, string(split(res.source.specs[id].label, "/")[2])[18:end-4], "", (epoch_ids[chosen_job][id], string(split(res.source.specs[id].label, "/")[2])[18:end-4], "", res.multi[id][:galaxy].norm.val, res.multi[id][:qso_cont].alpha.val, cont_at(res.multi[id], 3500)[1], Loading Loading
run.jl +7 −3 Original line number Diff line number Diff line Loading @@ -201,7 +201,8 @@ epoch_ids = Dict( :highres => [5, 7, 13, 17, 20], :test => [7, 13], :limited => [1,2,3,13], :all => collect(5:26)) :all => collect(5:26), :floyds => [6, 8, 9, 10, 11, 12, 14, 15, 16, 18, 19, 21, 22, 23]) # deleteat!(epoch_ids[:all], 4) #insufficient coverage in na_Hg # Can't use resolution smaller than 150 km / s otherwise some line Loading @@ -213,6 +214,7 @@ resolution = Dict() analyze_job(:test) analyze_job(:highres) analyze_job(:all) analyze_job(:floyds) ddd Loading Loading @@ -240,8 +242,10 @@ function cont_at(bestfit, λ) end # Wrap-up chosen_job = :all chosen_iloop = 5 res = JLD2.load_object("output/results_all_5.dat") res = JLD2.load_object("output/results_$(chosen_job)_$(chosen_iloop).dat") tab = DataFrame(epoch=Int[], date=String[], instr=String[], galaxy=Float64[], contslope=Float64[], Loading @@ -256,7 +260,7 @@ tab = DataFrame(epoch=Int[], date=String[], instr=String[], galaxy=Float64[], for id in 1:length(res.multi) push!(tab, (id, string(split(res.source.specs[id].label, "/")[2])[18:end-4], "", (epoch_ids[chosen_job][id], string(split(res.source.specs[id].label, "/")[2])[18:end-4], "", res.multi[id][:galaxy].norm.val, res.multi[id][:qso_cont].alpha.val, cont_at(res.multi[id], 3500)[1], Loading