diff --git a/corr_k.jl b/corr_k.jl
new file mode 100644
index 0000000..4d9c913
--- /dev/null
+++ b/corr_k.jl
@@ -0,0 +1,94 @@
+cd(@__DIR__)
+using DelimitedFiles
+using Random
+using Glob
+using LinearAlgebra
+
+function autocor_loc_2(x, beg, max, n=2)
+	C = zeros(ComplexF64,max+1)
+	N = zeros(Int64,max+1)
+	for tau in 0:max
+		for i in beg:length(x)-max
+			j = i + tau
+			@inbounds C[tau+1] = C[tau+1] +  (x[i]*conj(x[j]))^n
+			@inbounds N[tau+1] = N[tau+1] + 1
+		end
+	end
+	real(C) ./ N
+end
+
+function corr(dataset, L)
+	F(i) = autocor_loc_2(dataset[:,2+2i].+(-1)^(i==L÷2)*1.0im.*dataset[:,3+2i], 1, L^4÷40, 1)
+	corrs = hcat([F(i) for i in 0:L÷2]...)
+	corrs
+end
+
+function variance(x)
+    S=zeros(length(x[1]))
+    mean = average(x)
+    for i in 1:length(x)
+      S .= S .+ (x[i] .- mean) .^2
+    end
+    S./length(x)
+end
+
+function average(x)
+    sum(x)/length(x)
+end
+
+function bootstrap(fs, M)
+    len = length(fs[1,:])
+    bs_tot = []
+    for i in 1:M
+        bsD = []
+        for j in 1:len
+            samp = fs[:,rand(1:len)]
+            push!(bsD, samp)
+        end
+        push!(bs_tot, average(bsD))
+    end
+    mean = average(bs_tot)
+    var = variance(bs_tot)
+    output = cat(mean, sqrt.(var); dims=3)
+    output
+end
+
+function collect_data(L)
+	dfs = glob("data/dynamics_L_$(L)_id_*")
+	datasets = cat([corr(readdlm(file, ' '), L) for file in dfs]...; dims=3)
+
+	len = length(datasets[1,:,1]) # num of modes
+	C = hcat([bootstrap(datasets[:,i,:], 100) for i in 1:len]...)
+
+	step = 10
+	Δt = 0.04
+	t = [0:length(C[:,1,1])-1;] .* (step*Δt)
+	k = [0:L÷2;] .* (2π/L)
+	(t, k, C[:,:,1], C[:,:,2])
+end
+
+function save_data(L)
+	(t, k, C, err) = collect_data(L)
+
+	output_file = open("data_k_$L.jl","w")
+
+	write(output_file, "t_$L = ")
+	show(output_file, t)
+	write(output_file, "\n\n")
+
+	write(output_file, "k_$L = ")
+	show(output_file, k)
+	write(output_file, "\n\n")
+
+	write(output_file, "C_$L = ")
+	show(output_file, C)
+	write(output_file, "\n\n")
+
+	write(output_file, "Cerr_$L = ")
+	show(output_file, err)
+	write(output_file, "\n\n")
+
+	close(output_file)
+end
+
+save_data(parse(Int, ARGS[1]))
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