X-Git-Url: https://git.ucc.asn.au/?a=blobdiff_plain;f=research%2Fanalysis%20and%20stuff%2Ftheory.py;fp=research%2Fanalysis%20and%20stuff%2Ftheory.py;h=8367f1dbbfa56b7f7db247fffe848b5c594b362c;hb=70a96cca12cb006506461d26cd112bab179fe74c;hp=0000000000000000000000000000000000000000;hpb=8caf60af39689a3546074f0c68d14c3a2e28191e;p=matches%2Fhonours.git

diff --git a/research/analysis and stuff/theory.py b/research/analysis and stuff/theory.py
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+++ b/research/analysis and stuff/theory.py	
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+#!/usr/bin/python -u
+
+#
+# @file theory.py
+# @purpose Do theory stuff
+#		Because sadly, Mathematica does not work on my new laptop
+# @author Sam Moore
+# @date August 2012
+#
+
+import sys
+import os
+import math
+import re # Regular expressions - for removing comments
+#import odict #ordered dictionary
+
+import Gnuplot, Gnuplot.funcutils
+
+gnuplot = Gnuplot.Gnuplot()
+
+
+#
+# @function se_dist
+# @purpose Model the secondary electron distribution using M. Furman's formula
+#
+def se_dist(s, Ep, sigma_p, dE, n_max=0.75):
+	results = []
+	E = 0.0
+	while (E < 8.0):
+		results.append([E, n_max *s * E / (s - 1.0 + E**s) , math.exp(-(E - Ep)**2.0 / (2.0*sigma_p**2.0))])
+		E += dE
+	return results
+
+#
+# @function integrate
+# @purpose integrate function numerically over a range of arguments
+# 
+def integrate(f, xmin, xmax, dx):
+	x = xmin
+	result = 0.00
+	while (x <= xmax):
+		result += f(x) * dx
+		x += dx
+	return result
+
+# @function derivative
+# @purpose get derivative of a function at a value
+def der(f, x, dx):
+	return (f(x + dx) - f(x)) / dx
+
+# 
+# @function tcs
+# @purpose Model S(E)
+def tcs(f, sigma, Emin, Emax, dE):
+	results = []
+	E = Emin
+	while (E < Emax):
+		results.append([E, (1.0 - sigma(0)) * f(-E) - integrate(lambda e : f(e - E) * sigma(E), Emin, Emax, dE)])
+		E += dE
+	return results
+
+def delta(x):
+	if (x == 0):
+		return 1.0
+	else:
+		return 0.0
+
+def table(f, xmin, xmax, dx):
+	result = []
+	x = xmin
+	while (x <= xmax):
+		result.append([x, f(x)])
+		x += dx
+	return result
+
+def gaussian(x, sigma):
+	return math.exp(- (x**2.0)/(2.0 * sigma**2.0)) / (sigma * (2.0 * math.pi)**0.50)
+
+def step(x, sigma, T):
+	return 1.0 / (math.exp((x - sigma)/T) + 1.0)
+
+# 
+# @function write_data
+# @purpose Write a list of data to a file suitable for gnuplotting
+#
+def write_data(data, fileName):
+	out = open(fileName, "w")
+	for line in data:
+		for column in line:
+			out.write(str(column) + "\t")
+		out.write("\n")
+	out.close()
+
+def Plot(data):
+	gnuplot.plot(Gnuplot.Data(data, with_="lp"))
+
+
+def main():	
+	
+	#test = se_dist(4.0, 7.0, 0.2, 0.01)
+	#write_data(test, "se_dist.dat")	
+	
+	
+	#print("Press enter to exit")
+	#sys.stdin.readline()
+		
+	return 0
+
+
+if __name__ == "__main__":
+	sys.exit(main())