### This bodes well

A hole in a black hole, that does happen. As I said before, if two black holes collide, at the intersect tangent is a very odd effect where the "event horizon" is dissolved. As a result the inside becomes the outside for some period of time. This is true of any externally applied distortion. In the tangent space of the event horizon is another state that would exist for some time. So I am talking about time in time and so what is (m·L2/t2)·(t=time)2? The event horizon of a black hole would hardly be static and I suppose ( possibly incorrectly ) that the events at the horizon would be mirrored in its effect and are thus measurable in x-ray, and light. It seems there should be a transform that I could apply to x-ray data from the Milky Way galaxy x-ray survey to view half of the boundary. This is why data is so important and conclusions on data are merely an obfuscation.

```

set terminal svg enhanced size 875 1250 fname "Times" fsize 25
set terminal postscript enhanced portrait dashed lw 1 "Helvetica" 14
set output "bode.ps"

G(w,n) = 0 * w * n + 100000 # 1 / (sqrt(1 + w**(2*n)))
dB(x) = 0 + x + 100000 # 20 * log10(abs(x))
P(w) = w * 0 + 200 # -atan(w)*180/pi

set grid

set logscale x 10
set logscale y 10

set nokey #0.1,-25

set style line 1 lt 1 lw 2

set style line 3 lt 3 lw 1
set style arrow 3 nohead ls 3

set style line 4 lt 4 lw 1

set style arrow 4 head filled size screen 0.02,15,45 ls 4

set style line 2 lt 2 lw 1
set style arrow 2 nohead ls 2
set multiplot

set size 1,0.5
set origin 0,0.5

set xrange [0.001:1000]
set yrange [0.001:100] #set yrange [-50:150]

set xtics 10
set ytics 10

set mxtics 10
set mytics 10

set ylabel "Gain"
plot dB(G(x,1)) ls 1 title "1st-order response"

set size 0.967,0.45
set origin 0.033,0.05
unset logscale y

set yrange [-285:105]

set ytics 45
set mytics 3

set xlabel "Frequency"
plot P(x) ls 1 title "Phase response"
unset multiplot

```

It works generally, but I think I have something wrong here.[SOLVED], decided to use matplotlib, scipy, numpy, numarray with python, which is often easier to apply.