How do I plot the graph of `res ` for different `epsilon` in the same plot?

I want to plot function res for different value of epsilon=0.1, 0.2,0.3,0.9 in the same plot in R.

My setting is that

#make this example reproducible
set.seed(1001)
n <- 500
#Sample GOE random matrix
A <- matrix(rnorm(n*n, mean=0, sd=1), n, n) 
G <- (A + t(A))/sqrt(2*n)
ev <- eigen(G)
l <- ev$values
v <- ev$vectors

#size of multivariate distribution
mean <- rep(0, n) 
var <- diag(n)

#simulate bivariate normal distribution
initial <- MASS::mvrnorm(n=1000, mu=mean, Sigma=var) #ten random vectors
#normalized the first possible initial value, the initial data uniformly distributed on the sphere
xmats <- lapply(1:1000, function(i) initial[i, ]/norm(initial[i, ], type="2"))

#define my function
h1t <- function(t,x_0) {
  h10 <- c(x_0 %*% v[, n])
  denom <- vapply(t, function(.t) {
    sum((x_0 %*% v)^2 * exp(-4*(l - l[n]) * .t))
  }, numeric(1L))
  abs(h10) / sqrt(denom)
}

For 1000 initial value x_0 from normal distribution (I put them in a matrix xmats), I can plot all value of t so that h1t=epsilon for epsilon=0.9.

#set epsilon=0.9
find_t <- function(x, epsilon = 0.9, range = c(-500, 500)) {
  uniroot(function(t) h1t(t, x) - epsilon, range,
          tol = .Machine$double.eps)$root
}

res <- lapply(xmats, find_t)

plot(density(unlist(res)), xlim = c(0, 300),col = "red",
     main = "Fix epsilon=0.9. Density of tau_epsilon for different initial value for n=500")

I got:

Question: How do I plot the graph of res for different epsilon in the same plot?