本文整理汇总了Python中pyon.Classes.hadron.PseudoscalarMeson类的典型用法代码示例。如果您正苦于以下问题：Python PseudoscalarMeson类的具体用法？Python PseudoscalarMeson怎么用？Python PseudoscalarMeson使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了PseudoscalarMeson类的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: get_mass
from pyon.Classes.hadron import PseudoscalarMeson
from pyon.Classes import lattice
#from pyon.Error import error_reduce
#import numpy as np
FIT=True
my_lattice = lattice.Lattice24c()
d = '/temp/srd1g10/results/24c/mesons/0.01_0.0613/'
folders = (d+'pickled.g15.g15.p16/', d+'pickled.g7.g7.p16/', d+'pickled.g7.g15.p16/')
mes = PseudoscalarMeson.load_from_folder(folders, fit_range=(8, 31),
name="(0.01, 0.0613)",
lattice=my_lattice,
fit_type='simultaneous',
mass_guess=0.4,
covariant=True,
correlated=False, frozen_error=True,
num_bins=2, verbose=False)
def get_mass():
mes.fit()
return mes.get_jackknife_lists()
if __name__== "__main__":
if FIT:
mes.fit()
print mes.get_fit_params()
print mes.get_fit_params_latex()
else:
mes.plot_graph()
示例2: zip
import numpy as np
from pyon.IO import prettify
FIT=True
my_lattice = lattice.Lattice24c()
d = '/temp/srd1g10/results/24c/mesons/0.005_0.04/pickled.dispersion/'
folders = [d+'p0/', d+'p1/']
fit_ranges = [(8, 31), (8, 27)]
guesses = [0.329, 0.42]
names = ['p0', 'p1']
jl = []
for folder, fit_range, guess, name in zip(folders, fit_ranges, guesses, names):
mes = PseudoscalarMeson.load_from_folder(folder, fit_range=fit_range,
name="(0.005, 0.04) " + name,
lattice=my_lattice,
fit_type='individual',
mass_guess=guess,
covariant=True,
correlated=False, frozen_error=True,
num_bins=2, verbose=False)
#mes.plot_graph()
mes.fit()
jl.append(mes.get_jackknife_lists())
jl = np.array(jl)
def get_c():
jl_2 = jl * jl
masses = np.average(jl, axis=1) # central masses
m_2 = masses * masses
L = 24示例3:
"""
Fit a meson with PP only
"""
from pyon.Classes.hadron import PseudoscalarMeson
from pyon.Classes import lattice
from pyon.Error import error_reduce
import numpy as np
import os
import pickle
my_lattice = lattice.Lattice24c()
folder = '/home/srd1g10/charm/data/24c/mesons/0.005_0.005/pickled.g15.g15.p16/'
mes = PseudoscalarMeson.load_from_folder(folder, fit_range=(9, 32),
name="0.005_0.005",
lattice=my_lattice,
fit_type='individual',
covariant=True,
correlated=False, frozen_error=True,
num_bins=2, verbose=False)
mes.plot_graph()
#if mes.fit():
# print mes.get_fit_params()