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minor changes before branch switch

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This commit is contained in:
Jan Bergen 2024-08-03 13:51:52 +02:00
parent 2fbf122dfc
commit 45bca79eb6
6 changed files with 111 additions and 234 deletions
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4
bachelorarbeit/flamegraph.svg
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bachelorarbeit/perf.data
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bachelorarbeit/simpleplot.py
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@ -1,255 +1,133 @@
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
import numpy as np import numpy as np
data = [ data = [
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], ],
] ]
n = [100,500,1000,2000,5000,7500,10000,15000,25000,50000];
n = [
[
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],
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],
[
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3.616223928570861e-5,
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5.090395966433903e-5,
4.564750978897081e-5,
],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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5.728083307676712e-7,
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],
]
n = [10,100,200, 500,1000,2000,5000,7500,10000,15000];
for n_o in range(len(data)): for n_o in range(len(data)):
# plt.scatter([n_o] * len(data[n_o]), data[n_o]) # plt.scatter([n_o] * len(data[n_o]), data[n_o], label=str(n[n_o]))
plt.plot(n, data[n_o]) plt.plot(n, data[n_o], label=str(n[n_o]))
plt.plot
plt.legend()
plt.show() plt.show()

25
bachelorarbeit/src/main.rs
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@ -598,21 +598,20 @@ fn main() {
// .collect(); // .collect();
let accuracies = [100,500,1000,2000,5000,7500,10000,15000,25000,50000]; // let accuracies = [100,500,1000,2000,5000,7500,10000,15000,25000,50000];
let mut results = [[0.0;10];10]; // let mut results = [[0.0;10];10];
for (o,n_o) in accuracies.iter().enumerate() { // for (o,n_o) in accuracies.iter().enumerate() {
println!("{:?}", n_o); // println!("{:?}", n_o);
for (p,n_p) in accuracies.iter().enumerate() { // for (p,n_p) in accuracies.iter().enumerate() {
let phi0 = calc::phi0(&mut app.calc_cache, 10000.0, *n_o, *n_p , true, true, true, true, true, false, 0.0, 0.0); // let phi0 = calc::phi0(&mut app.calc_cache, 10000.0, *n_o, *n_p , true, true, true, true, true, false, 0.0, 0.0);
results[o][p] = phi0 / calc::delta(10000.0) - 1.0; // results[o][p] = phi0 / calc::delta(10000.0) - 1.0;
} // }
} // }
println!("{:#?}", results); // println!("{:#?}", results);
// let phi0 = calc::phi0(&mut app.calc_cache, 10000.0, 10000, 10000, true, true, true, true, true, false, 0.0, 0.0); let phi0 = calc::phi0(&mut app.calc_cache, 10000.0, 1000, 1000, true, true, true, true, true, false, 0.0, 0.0);
// let phi0 = calc::phi0(&mut app.calc_cache, 10000.0, 100000, 100000, true, true, true, true, true, false, 0.0, 0.0); println!("relative difference: {:e}", phi0 / calc::delta(10000.0) - 1.0);
// println!("relative difference: {:e}", phi0 / calc::delta(10000.0) - 1.0);
// eframe::run_native( // eframe::run_native(
// "Omnes Calculator", // "Omnes Calculator",

10
ersterTest.py
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@ -23,8 +23,8 @@ lambda_0 = 0 # this is fixed by the low energy parametrization: lambda_0 = delta
delta1_mid_high = 0 # again, this is fixed by the value of delta1_mid at 1.42 GeV (see later in the code) delta1_mid_high = 0 # again, this is fixed by the value of delta1_mid at 1.42 GeV (see later in the code)
# Numerical constants # Numerical constants
gl_n_omnes = 100 # number of points used in the Gauss Legendre Integration gl_n_omnes = 10000 # number of points used in the Gauss Legendre Integration
gl_n_phi0 = 100 gl_n_phi0 = 10000
gl_lookup = {} gl_lookup = {}
omnes_lookup = {} omnes_lookup = {}
@ -195,7 +195,7 @@ def phi0(s, a=0, inf = 100000, optimized = True, n = gl_n_phi0):
c = np.pi / (s * np.sqrt(s_0)) * np.log(cmath.polar(omnes(s))[0]**2) c = np.pi / (s * np.sqrt(s_0)) * np.log(cmath.polar(omnes(s))[0]**2)
if optimized == True: if optimized == True:
integral = integral_gl_tan_reparam(phi0_integrand, s, a, inf, n, False) integral = integral_gl_tan_reparam(phi0_integrand, s, a, inf, n, True)
else: else:
integral = integral_gl(phi0_integrand, s, a, inf, n) integral = integral_gl(phi0_integrand, s, a, inf, n)
return -s * np.sqrt(s-s_0) / (2*np.pi) * (integral - c) return -s * np.sqrt(s-s_0) / (2*np.pi) * (integral - c)
@ -269,7 +269,7 @@ ax.plot(x, y_delta, label = r"$\delta$")
# print(time() - t0) # print(time() - t0)
t0 = time() t0 = time()
print(phi0(10000, n=100)) print(phi0(10000) / delta(10000))
print(time() - t0) print(time() - t0)
# ax.legend() # ax.legend()
@ -277,4 +277,4 @@ print(time() - t0)
# ax.grid(which='major', color='#A4A4A4', linewidth=1) # ax.grid(which='major', color='#A4A4A4', linewidth=1)
# ax.grid(which='minor', color='#B5B5B5', linestyle=':', linewidth=0.5) # ax.grid(which='minor', color='#B5B5B5', linestyle=':', linewidth=0.5)
# ax.minorticks_on() # ax.minorticks_on()
# plt.show() # plt.show()