# Bolt

It needs a fair bit more physics before it can be applied to modern data. There are some examples showing accurate reproduction of some figures in `examples/`

.

I haven't spent any time optimizing Bolt for performance yet, and in particular the naively implemented source function integrations currently dominate the spectrum cost.

*A CMB temperature power spectrum and gradient from Bolt.jl.*

## Example / Performance

```
using Bolt
using ForwardDiff
# Cₗ₌₁₀₀ function of baryon density
function cl100(Ω_b::DT) where DT
par = CosmoParams{DT}(Ω_b=Ω_b)
bg = Background(par)
ih = IonizationHistory(Peebles(), par, bg)
k_grid = quadratic_k(0.1bg.H₀, 1000bg.H₀, 100)
sf = source_grid(par, bg, ih, k_grid, BasicNewtonian())
return cltt(100, par, bg, ih, sf)
end
Δ = 1e-3
print("Result Comparison: ",
(cl100(0.046 + Δ) - cl100(0.046 - Δ)) / 2Δ, " ",
ForwardDiff.derivative(cl100, 0.046), "\n")
using BenchmarkTools
print("Simple Finite Difference:\n")
@btime (cl100(0.046 + Δ) - cl100(0.046 - Δ)) / 2Δ
print("ForwardDiff:\n")
@btime ForwardDiff.derivative(cl100, 0.046)
```

```
Result Comparison: 0.00012423928229756477 0.00012423371182564182
Simple Finite Difference:
13.539 s (26365268 allocations: 2.52 GiB)
ForwardDiff:
11.160 s (29920717 allocations: 4.97 GiB)
```