def __init__(self,xaxis=None,scan_dir="",datfile="data/input.dat",scan={},
loadsuf=["K_{33}","k_{24}","\\Lambda",
"\\omega","\\gamma_s"],
savesuf=["K_{33}","k_{24}","\\Lambda",
"\\omega","\\gamma_s"],
name= "observables",loadfilepath="data",
savefilepath="results"):
ReadParams.__init__(self,datfile=datfile,
scan=scan,loadsuf=loadsuf,savesuf=savesuf)
self.xaxis = xaxis
self.scan_dir = scan_dir
self.name = name
self.loadfilepath = loadfilepath
self.savefilepath = savefilepath
if os.path.isfile(self.observables_fname()):
self.data = np.loadtxt(self.observables_fname())
self.file_exists = True
else:
if self.name != "dummy":
print("could not find a file by the name of ",
self.observables_fname())
self.file_exists = False
return
def __init__(
self,
xaxis=None,
scan_dir="",
datfile="data/input.dat",
scan={},
loadsuf=["K_{33}", "k_{24}", "\\Lambda", "\\omega", "\\gamma_s"],
savesuf=["K_{33}", "k_{24}", "\\Lambda", "\\omega", "\\gamma_s"],
name="Evst"):
ReadParams.__init__(self,
datfile=datfile,
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
self.xaxis = xaxis
self.scan_dir = scan_dir
self.name = name
if os.path.isfile(self.fname()):
self.data = np.loadtxt(self.fname())
self.file_exists = True
else:
print("could not find a file by the name of ", self.fname())
self.file_exists = False
return
def __init__(self,
scan_dir="",
datfile="data/input.dat",
scan={},
loadsuf=[
"K_{33}", "k_{24}", "\\Lambda", "d_0", "\\omega",
"\\gamma_s"
],
savesuf=[
"K_{33}", "k_{24}", "\\Lambda", "d_0", "\\omega",
"\\gamma_s"
],
sfile_format=".pdf"):
ReadParams.__init__(self,
datfile=datfile,
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
self.sfile_format = sfile_format
self.scan_dir = scan_dir
self.data = np.loadtxt(self.psivsr_fname())
return
def __init__(self,scan_dir="",scan={},
loadsuf=["K_{33}","k_{24}","\\Lambda",
"\\omega","\\gamma_s"],
savesuf=["K_{33}","k_{24}","\\Lambda",
"\\omega","\\gamma_s"],
sfile_format="pdf",obsname = "observables",
datfile="data/input.dat",psiname = "psivsr",
psiloadfilepath="data",obsloadfilepath="data",
psisavefilepath="results",obssavefilepath="results"):
ReadParams.__init__(self,datfile=datfile,
scan=scan,loadsuf=loadsuf,savesuf=savesuf)
self.obsdata = ObservableData(scan=scan,loadsuf=loadsuf,savesuf=savesuf,
datfile=datfile,loadfilepath=obsloadfilepath,
savefilepath=obssavefilepath,
scan_dir=scan_dir,name=obsname)
self.psidata = PsiData(scan=scan,loadsuf=loadsuf,savesuf=savesuf,
datfile=datfile,loadfilepath=psiloadfilepath,
savefilepath=obssavefilepath,
scan_dir = scan_dir,name=psiname)
self.scan_dir=scan_dir
self.sfile_format=sfile_format
self.i_R_c = self.find_R_c_index()
return
def __init__(
self,
scan_dir="",
datfile="data/input.dat",
scan={},
loadsuf=["K_{33}", "k_{24}", "\\Lambda", "\\omega", "\\gamma_s"],
savesuf=["K_{33}", "k_{24}", "\\Lambda", "\\omega", "\\gamma_s"],
sfile_format=".pdf",
loadfilepath="data",
savefilepath="results",
name="psivsr",
strain=None):
ReadParams.__init__(self,
datfile=datfile,
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
self.sfile_format = sfile_format
self.scan_dir = scan_dir
self.name = name
self.strain = strain
self.loadfilepath = loadfilepath
self.savefilepath = savefilepath
self.data = np.loadtxt(self.psivsr_fname())
return
def __init__(self,
scan={},
datfile="data/input.dat",
loadsuf=[
"R_avg0", "sigma_R0", "R_eq", "volFrac_0", "beta", "chi_0"
],
savesuf=[
"R_avg0", "sigma_R0", "R_eq", "volFrac_0", "beta", "chi_0"
],
name="chi_vs_t",
loadfilepath="data",
savefilepath="results"):
ReadParams.__init__(self,
datfile=datfile,
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
self.name = name
self.loadfilepath = loadfilepath
self.savefilepath = savefilepath
if os.path.isfile(self.file_name()):
self.data = np.loadtxt(self.file_name())
self.overlap = False
elif os.path.isfile(self.file_name(overlap=True)):
self.data = np.loadtxt(self.file_name(overlap=True))
print(f"Found file {self.file_name()}, but drops are overlapping!")
self.overlap = True
else:
self.data = None
print(f"Could not find file {self.file_name()}")
self.overlap = False
return
def __init__(
self,
scan={},
tmp_path="../../../tmp_data/",
scan_dir="",
executable="../../../bin/full4var_onerun",
strain=None,
loadsuf=["K_{33}", "k_{24}", "\\Lambda", "\\omega", "\\gamma_s"],
savesuf=["K_{33}", "k_{24}", "\\Lambda", "\\omega", "\\gamma_s"],
datfile="data/input.dat",
valgrind=False,
valFLAG=None):
ReadParams.__init__(self,
datfile=datfile,
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
self.tmp_path = tmp_path
self.executable = executable
self.scan_dir = scan_dir
self.strain = strain
self.valgrind = valgrind
self.valFLAG = valFLAG
return
def __init__(self,
xaxis=None,
scan_dir="",
datfile="data/input.dat",
scan={},
loadsuf=[
"K_{33}", "k_{24}", "\\Lambda", "d_0", "\\omega",
"\\gamma_s"
],
savesuf=[
"K_{33}", "k_{24}", "\\Lambda", "d_0", "\\omega",
"\\gamma_s"
]):
ReadParams.__init__(self,
datfile=datfile,
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
self.xaxis = xaxis
self.scan_dir = scan_dir
self.data = np.loadtxt(self.observables_fname())
return
def __init__(self,
tmp_path="../../../tmp_data/",
scan={},
datfile="data/input.dat",
loadsuf=[
"R_avg0", "sigma_R0", "R_eq", "volFrac_0", "beta", "chi_0"
],
savesuf=[
"R_avg0", "sigma_R0", "R_eq", "volFrac_0", "beta", "chi_0"
],
executable="../../../bin/3d-gaussian-ic"):
ReadParams.__init__(self,
datfile=datfile,
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
self.tmp_path = tmp_path
self.executable = executable
def __init__(
self,
tmp_path="../../../tmp_data/",
datfile="data/input.dat",
scan={},
loadsuf=["K_{33}", "k_{24}", "\\Lambda", "\\omega", "\\gamma_s"],
savesuf=["K_{33}", "k_{24}", "\\Lambda", "\\omega", "\\gamma_s"],
name="observables",
loadfilepath="data",
params=None,
executable="../../../bin/double_well_scan"):
ReadParams.__init__(self,
datfile=datfile,
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
self.tmp_path = tmp_path
self.executable = executable
return
def single_E_calc(gamma, scan, scan_dir, fwd_ic, bwd_ic):
loadsuf = ["K_{33}", "k_{24}", "\\Lambda", "\\omega", "\\gamma_s"]
savesuf = ["K_{33}", "k_{24}", "\\Lambda", "\\omega"]
scan['\\gamma_s'] = str(gamma)
ic_dict = {}
if scan_dir == "scanforward":
ic_dict = fwd_ic
elif scan_dir == "scanbackward":
ic_dict = bwd_ic
scan['Rguess'] = str(ic_dict['Rguess0'])
scan['Rupper'] = str(ic_dict['Rupper0'])
scan['Rlower'] = str(ic_dict['Rlower0'])
scan['etaguess'] = str(ic_dict['etaguess0'])
scan['etaupper'] = str(ic_dict['etaupper0'])
scan['etalower'] = str(ic_dict['etalower0'])
scan['deltaguess'] = str(ic_dict['deltaguess0'])
scan['deltaupper'] = str(ic_dict['deltaupper0'])
scan['deltalower'] = str(ic_dict['deltalower0'])
# read in file name info
rp = ReadParams(scan=scan, loadsuf=loadsuf, savesuf=savesuf)
# create a class to do calculations with current parameters in scan.
run = SingleRun(rp, scan_dir=scan_dir)
# run C executable.
run.run_exe()
# move file written by C executable from temporary data path to true data path
run.mv_file('observables')
# load the final values of E, R, eta, delta, and surface twist.
Ei, Ri, etai, deltai, surftwisti = run.get_all_observables('observables',
str2float=True)
run.concatenate_observables(["\\gamma_s"])
return Ei, Ri, etai, deltai
def single_E_calc(gamma, scan, loadsuf, savesuf, scan_dir):
scan['\\gamma_s'] = str(gamma)
if scan_dir == "scanforward":
Rguess0 = 0.044
Rlower0 = 0.04
Rupper0 = 0.05
etaguess0 = 6.29
etalower0 = 6.3
etaupper0 = 6.287
deltaguess0 = 0.74
deltalower0 = 0.72
deltaupper0 = 0.8
else:
Rguess0 = 1.5
Rlower0 = 1.0
Rupper0 = 2.0
etaguess0 = 6.4
etalower0 = 6.38
etaupper0 = 6.42
deltaguess0 = 0.815
deltalower0 = 0.813
deltaupper0 = 0.816
scan['Rguess'] = str(Rguess0)
scan['Rupper'] = str(Rupper0)
scan['Rlower'] = str(Rlower0)
scan['etaguess'] = str(etaguess0)
scan['etaupper'] = str(etaupper0)
scan['etalower'] = str(etalower0)
scan['deltaguess'] = str(deltaguess0)
scan['deltaupper'] = str(deltaupper0)
scan['deltalower'] = str(deltalower0)
# read in file name info
rp = ReadParams(scan=scan, loadsuf=loadsuf, savesuf=savesuf)
# create a class to do calculations with current parameters in scan.
run = SingleRun(rp, scan_dir=scan_dir)
# run C executable.
run.run_exe()
# move file written by C executable from temporary data path to true data path
run.mv_file('observables')
# load the final values of E, R, eta, delta, and surface twist.
Ei, Ri, etai, deltai, surftwisti = run.get_all_observables('observables',
str2float=True)
run.concatenate_observables(["\\gamma_s"])
return Ei, Ri
markers = ["o-","v-","^-","<-",">-"]
for i,R_avg0 in enumerate(R_avg0s):
scan['R_avg0'] = str(R_avg0)
scan['chi_0'] = chi_0(R_avg0)
for j,sigma in enumerate(sigmas):
scan['sigma_R0'] = str(sigma)
rp = ReadParams(scan=scan,datfile=datfile)
ts = rp.list_of_t_vals()
Ns = np.empty([len(ts)],float)
for i_t,t in enumerate(ts):
ld = LoadData(name=f"radius_{i_t}",scan=scan,savesuf=savesuf,
loadfilepath=loadfilepath,datfile=datfile)
Rs = ld.data[:,1]
Ns[i_t] = Rs.size
scan = {}
markers = ["o-", "v-", "^-", "<-", ">-"]
for i, R_avg0 in enumerate(R_avg0s):
scan['R_avg0'] = str(R_avg0)
scan['chi_0'] = chi_0(R_avg0)
for j, sigma in enumerate(sigmas):
scan['sigma_R0'] = str(sigma)
rp = ReadParams(scan=scan)
ts = rp.list_of_t_vals()
Ns = np.empty([len(ts)], float)
for i_t, t in enumerate(ts):
ld = LoadData(name=f"radius_{i_t}", scan=scan, savesuf=savesuf)
Rs = ld.data[:, 1]
Ns[i_t] = Rs.size
axarr.flat[i].plot(ts,
Ns,
scan['\\omega'] = '20.0'
scan['k_{24}'] = k24
loadsuf = ["K_{33}", "k_{24}", "\\Lambda", "\\omega", "\\gamma_s"]
savesuf = ["K_{33}", "k_{24}", "\\Lambda", "\\omega"]
scan_dir = "scantmp"
i = len(gammas) - 1
while (i >= 0):
gamma = gammas[i]
scan['\\gamma_s'] = str(gamma)
# read in file name info
rp = ReadParams(scan=scan,
loadsuf=loadsuf,
savesuf=savesuf,
datfile=datfile)
# create a class to do calculations with current parameters in scan.
run = SingleRun(rp, scan_dir=scan_dir, tmp_path=tmp_path)
# run C executable.
run.run_exe()
# move file written by C executable from temporary data path to true data path
run.mv_file('observables')
# load the final values of E, R, eta, delta, and surface twist.
Ei, Ri, etai, deltai, surftwisti = run.get_all_observables(
'observables', str2float=True)
def single_E_calc(gamma,scan,loadsuf,savesuf,scan_dir):
scan['\\gamma_s'] = str(gamma)
k240 = 0.33
k24 = float(scan['k_{24}'])
t = (k24-k240)/k240
if scan_dir == "scanforward":
#Rguess0 = 0.045
#Rupper0 = 0.6
#Rlower0 = 0.4
Rguess0 = lower_Rguess(t)
Rupper0 = Rguess0*1.1
Rlower0 = Rguess0*0.9
etaguess0 = 6.295
etalower0 = 6.29
etaupper0 = 6.3
deltaguess0 = 0.8
deltalower0 = 0.799
deltaupper0 = 0.805
else:
#Rguess0 = 0.7
#Rupper0 = 0.9
#Rlower0 = 0.6
Rguess0 = upper_Rguess(t)
Rupper0 = Rguess0*1.1
Rlower0 = Rguess0*0.9
etaguess0 = 6.34
etalower0 = 6.32
etaupper0 = 6.36
deltaguess0 = 0.813
deltalower0 = 0.808
deltaupper0 = 0.816
scan['Rguess'] = str(Rguess0)
scan['Rupper'] = str(Rupper0)
scan['Rlower'] = str(Rlower0)
scan['etaguess'] = str(etaguess0)
scan['etaupper'] = str(etaupper0)
scan['etalower'] = str(etalower0)
scan['deltaguess'] = str(deltaguess0)
scan['deltaupper'] = str(deltaupper0)
scan['deltalower'] = str(deltalower0)
# read in file name info
rp = ReadParams(scan=scan,loadsuf=loadsuf,savesuf=savesuf)
# create a class to do calculations with current parameters in scan.
run = SingleRun(rp,scan_dir=scan_dir)
# run C executable.
run.run_exe()
# move file written by C executable from temporary data path to true data path
run.mv_file('observables')
# load the final values of E, R, eta, delta, and surface twist.
Ei,Ri,etai,deltai,surftwisti = run.get_all_observables('observables',str2float=True)
run.concatenate_observables(["\\gamma_s"])
return Ei,Ri
colors = sns.color_palette()
savesuf = ["K_{33}","k_{24}","d_0","\\gamma_s"]
loadsuf = ["K_{33}","k_{24}","d_0","\\omega","\\gamma_s"]
omegas = np.linspace(0,30,num=31,endpoint=True)
for i,omega in enumerate(omegas):
scan['\\omega']=str(omega)
rp = ReadParams(scan=scan,loadsuf=loadsuf,savesuf=savesuf)
obs = PlotObservables(["\\Lambda"],rp)
print(omega)
for j,observable in enumerate(observable_list):
index = obs.ylabelstr_to_column(observable)
array_store[observable][i,:] = obs.data[:,index]
xlabel = r'$3\Lambda=\omega$'
for observable in observable_list:
configure_fig_settings()
colors = sns.color_palette()
colors = [colors[1], colors[2]]
scan = {}
scan['\\Lambda'] = str(Lambda)
scan['\\omega'] = str(omega)
scan['K_{33}'] = str(K33)
loadsuf = ["K_{33}", "\\Lambda", "\\omega"]
savesuf = ["K_{33}", "\\Lambda", "\\omega"]
rp = ReadParams(scan=scan, loadsuf=loadsuf, savesuf=savesuf)
suff = rp.write_suffix()
fw_coexist = np.loadtxt(f"results/_fwd_coexist_{suff}.txt")
bw_coexist = np.loadtxt(f"results/_bkwd_coexist_{suff}.txt")
gammas = fw_coexist[:, 0]
observables_list = ["k24", "E", "R", "eta", "delta", "psi(R)"]
for i, observable in enumerate(observables_list):
fig = plt.figure()
fig.set_size_inches(width, height)