add files for public distribution

based on internal repository 0a462b6 2017-11-22 14:41:39 +0100
This commit is contained in:
2017-11-22 14:55:20 +01:00
parent 96d206fc7b
commit bbd16d0f94
102 changed files with 230209 additions and 0 deletions

View File

@ -0,0 +1 @@
__author__ = 'muntwiler_m'

249
projects/twoatom/twoatom.py Normal file
View File

@ -0,0 +1,249 @@
#!/usr/bin/env python
"""
@package projects.twoatom
Two-atom demo scattering calculation project
this file is specific to the project and the state of the data analysis,
as it contains particular parameter values.
"""
from __future__ import division
import sys
import os
import math
import numpy as np
import periodictable as pt
import argparse
import logging
# adjust the system path so that the main PMSCO code is found
base_dir = os.path.dirname(__file__) or '.'
package_dir = os.path.join(base_dir, '../..')
package_dir = os.path.abspath(package_dir)
sys.path.append(package_dir)
import pmsco.pmsco
import pmsco.cluster as mc
import pmsco.project as mp
import pmsco.data as md
from pmsco.helpers import BraceMessage as BMsg
logger = logging.getLogger(__name__)
class TwoatomProject(mp.Project):
"""
two-atom calculation project class.
the cluster contains a nitrogen in the top layer,
and a nickel atom in the second layer.
The layer distance and the angle can be adjusted by parameters.
the model parameters are:
@arg @c model['dNNi'] : vertical distance N - Ni in Angstrom.
@arg @c model['pNNi'] : polar angle of axis N - Ni in degrees. 0 = on top geometry.
@arg @c model['V0'] : inner potential
@arg @c model['Zsurf'] : position of surface
"""
def __init__(self):
super(TwoatomProject, self).__init__()
self.scan_dict = {}
def create_cluster(self, model, index):
"""
calculate a specific set of atom positions given the optimizable parameters.
the cluster contains a nitrogen in the top layer,
and a nickel atom in the second layer.
The layer distance and the angle can be adjusted by parameters.
@param model: (dict) optimizable parameters
"""
clu = mc.Cluster()
clu.comment = "{0} {1}".format(self.__class__, index)
clu.set_rmax(10.0)
a_N = np.array((0.0, 0.0, 0.0))
rad_pNNi = math.radians(model['pNNi'])
a_Ni1 = np.array((0.0,
-model['dNNi'] * math.sin(rad_pNNi),
-model['dNNi'] * math.cos(rad_pNNi)))
clu.add_atom(pt.N.number, a_N, 1)
clu.add_atom(pt.Ni.number, a_Ni1, 0)
return clu
def create_params(self, model, index):
"""
set a specific set of parameters given the optimizable parameters.
@param model: (dict) optimizable parameters
"""
params = mp.Params()
params.title = "two-atom demo"
params.comment = "{0} {1}".format(self.__class__, index)
params.cluster_file = ""
params.output_file = ""
params.initial_state = self.scans[index.scan].initial_state
params.spherical_order = 2
params.polarization = "H"
params.scattering_level = 5
params.fcut = 15.0
params.cut = 15.0
params.angular_broadening = 0.0
params.lattice_constant = 1.0
params.z_surface = model['Zsurf']
params.atom_types = 3
params.atomic_number = [7, 28]
params.phase_file = ["hbn_n.pha", "ni.pha"]
params.msq_displacement = [0.01, 0.01, 0.00]
params.planewave_attenuation = 1.0
params.inner_potential = model['V0']
params.work_function = 3.6
params.symmetry_range = 360.0
params.polar_incidence_angle = 60.0
params.azimuthal_incidence_angle = 0.0
params.vibration_model = "P"
params.substrate_atomic_mass = 58.69
params.experiment_temperature = 300.0
params.debye_temperature = 356.0
params.debye_wavevector = 1.7558
params.rme_minus_value = 0.0
params.rme_minus_shift = 0.0
params.rme_plus_value = 1.0
params.rme_plus_shift = 0.0
# used by EDAC only
params.emitters = []
params.lmax = 15
params.dmax = 5.0
params.orders = [25]
return params
def create_domain(self):
"""
define the domain of the optimization parameters.
"""
dom = mp.Domain()
if self.mode == "single":
dom.add_param('dNNi', 2.109, 2.000, 2.250, 0.050)
dom.add_param('pNNi', 15.000, 0.000, 30.000, 1.000)
dom.add_param('V0', 21.966, 15.000, 25.000, 1.000)
dom.add_param('Zsurf', 1.449, 0.500, 2.000, 0.250)
elif self.mode == "swarm":
dom.add_param('dNNi', 2.109, 2.000, 2.250, 0.050)
dom.add_param('pNNi', 15.000, 0.000, 30.000, 1.000)
dom.add_param('V0', 21.966, 15.000, 25.000, 1.000)
dom.add_param('Zsurf', 1.449, 0.500, 2.000, 0.250)
elif self.mode == "grid":
dom.add_param('dNNi', 2.109, 2.000, 2.250, 0.050)
dom.add_param('pNNi', 15.000, 0.000, 30.000, 1.000)
dom.add_param('V0', 21.966, 15.000, 25.000, 1.000)
dom.add_param('Zsurf', 1.449, 0.500, 2.000, 0.250)
else:
dom.add_param('dNNi', 2.109, 2.000, 2.250, 0.050)
dom.add_param('pNNi', 15.000, 0.000, 30.000, 1.000)
dom.add_param('V0', 21.966, 15.000, 25.000, 1.000)
dom.add_param('Zsurf', 1.449, 0.500, 2.000, 0.250)
return dom
def create_project():
"""
create a new TwoatomProject calculation project.
the default experimental data file is @c twoatom_hemi_scan_250e.etpi
in the same directory as this Python module.
it defines a classic hemispherical angle scan grid
but does not include measured data for optimization.
@return project instance.
"""
project = TwoatomProject()
project_dir = os.path.dirname(os.path.abspath(__file__))
project.data_dir = project_dir
# scan dictionary
# to select any number of scans, add their dictionary keys as scans option on the command line
project.scan_dict['ea'] = {'filename': os.path.join(project_dir, "twoatom_energy_alpha.etpai"),
'emitter': "N", 'initial_state': "1s"}
project.scan_dict['et0p'] = {'filename': os.path.join(project_dir, "twoatom_energy_theta_0p.etpi"),
'emitter': "N", 'initial_state': "1s"}
project.scan_dict['et180p'] = {'filename': os.path.join(project_dir, "twoatom_energy_theta_180p.etpi"),
'emitter': "N", 'initial_state': "1s"}
project.scan_dict['tp215e'] = {'filename': os.path.join(project_dir, "twoatom_hemi_215e.etpi"),
'emitter': "N", 'initial_state': "1s"}
project.scan_dict['tp250e'] = {'filename': os.path.join(project_dir, "twoatom_hemi_250e.etpi"),
'emitter': "N", 'initial_state': "1s"}
return project
def set_project_args(project, project_args):
"""
set the project-specific arguments.
@param project: project instance
@param project_args: (Namespace object) project arguments.
"""
scans = ['tp250e']
try:
if project_args.scans:
scans = project_args.scans
else:
logger.warning(BMsg("missing scan argument, using {0}", scans[0]))
except AttributeError:
logger.warning(BMsg("missing scan argument, using {0}", scans[0]))
for scan_key in scans:
scan_spec = project.scan_dict[scan_key]
project.add_scan(**scan_spec)
logger.info(BMsg("add scan {filename} ({emitter} {initial_state})", **scan_spec))
project.add_symmetry({'default': 0.0})
def parse_project_args(_args):
"""
parse project-specific command line arguments.
@param _args: list of project-specific arguments from the command line.
this is typically the unknown_args return value from argparse.ArgumentParser.parse_known_args().
@return: namespace object containing the specified arguments as attributes.
"""
parser = argparse.ArgumentParser()
# main arguments
parser.add_argument('-s', '--scans', nargs="*", default=['tp250e'],
help="nick names of scans to use in calculation (see create_project function)")
parsed_args = parser.parse_args(_args)
return parsed_args
def main():
args, unknown_args = pmsco.pmsco.parse_cli()
if unknown_args:
project_args = parse_project_args(unknown_args)
else:
project_args = None
project = create_project()
pmsco.pmsco.set_common_args(project, args)
set_project_args(project, project_args)
pmsco.pmsco.run_project(project)
if __name__ == '__main__':
main()
sys.exit(0)

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff