PhysicsTools

CategoricalSetDistribution{T, U<:Real}

Represents a Categorical distribution on a set

Examples

• p = CategoricalSetDistribution(Set([:EMinus, :EPlus]), Categorical([0.1, 0.9])) rand(p) – returns :EMinus with 10% probability and :Eplus with 90% probability

• p = CategoricalSetDistribution(Set([:EMinus, :EPlus]), [0.1, 0.9]) – convenience constructor

apply_rot(a, b, operand)

Calculates rotation matrix obtained by rotating a to b. Apply to operand. Apply the resulting rotation to operand.

cart_to_sph(x::Real, y::Real, z::Real)

Convert cartesian to spherical coordinates. Assumes x, y, z represent a unit vector. Uses ISO convetion (inclination, azimuth).

fast_linear_interp(x_eval::Number, xs::AbstractVector, ys::AbstractVector)

Linearly interpolate xs -> ys and evaluate x_eval on interpolation. Assume xs are sorted in ascending order.

fast_linear_interp(x_eval::Number, knots::AbstractVector, lower::Number, upper::Number)

Linearly interpolate knots and evaluate x_eval on interpolation. Assume knots are equidistant in (lower, upper).

fwhm(d::UnivariateDistribution, xmode::Real; xlims=(-20, 20))

Calculate FWHM of a univariate distribution

rand_gamma(shape, scale)

Sample gamma variates when shape > 1

repeat_for(x::AbstractMatrix, n::AbstractVector)

Repeat each slice along the second dimension of x for n times

sph_to_cart(theta::Real, phi::Real)

Convert spherical to cartesian coordinates.

Uses ISO convention (inclination, azimuth).

split_by!(x::AbstractVector, n::AbstractVector, out)

Write output into out

split_by(x::AbstractVector, n::AbstractVector)

Split vector x into parts, where the split indices are given by vector n.