def bind(self, beads, ensemble):
""" Initializes the normal modes object and binds to beads and ensemble.
Do all the work down here as we need a full-formed necklace and ensemble
to know how this should be done.
Args:
beads: A beads object to be bound.
ensemble: An ensemble object to be bound.
"""
self.nbeads = beads.nbeads
self.natoms = beads.natoms
# stores a reference to the bound beads and ensemble objects
self.beads = beads
self.ensemble = ensemble
# sets up what's necessary to perform nm transformation.
if self.transform_method == "fft":
self.transform = nmtransform.nm_fft(nbeads=self.nbeads,
natoms=self.natoms)
elif self.transform_method == "matrix":
self.transform = nmtransform.nm_trans(nbeads=self.nbeads)
# creates arrays to store normal modes representation of the path.
# must do a lot of piping to create "ex post" a synchronization between the beads and the nm
sync_q = synchronizer()
sync_p = synchronizer()
dset(
self, "qnm",
depend_array(
name="qnm",
value=np.zeros((self.nbeads, 3 * self.natoms), float),
func={
"q": (lambda: self.transform.b2nm(depstrip(self.beads.q)))
},
synchro=sync_q))
dset(
self, "pnm",
depend_array(
name="pnm",
value=np.zeros((self.nbeads, 3 * self.natoms), float),
func={
"p": (lambda: self.transform.b2nm(depstrip(self.beads.p)))
},
synchro=sync_p))
# must overwrite the functions
dget(self.beads, "q")._func = {
"qnm": (lambda: self.transform.nm2b(depstrip(self.qnm)))
}
dget(self.beads, "p")._func = {
"pnm": (lambda: self.transform.nm2b(depstrip(self.pnm)))
}
dget(self.beads, "q").add_synchro(sync_q)
dget(self.beads, "p").add_synchro(sync_p)
# also within the "atomic" interface to beads
for b in range(self.nbeads):
dget(self.beads._blist[b], "q")._func = {
"qnm": (lambda: self.transform.nm2b(depstrip(self.qnm)))
}
dget(self.beads._blist[b], "p")._func = {
"pnm": (lambda: self.transform.nm2b(depstrip(self.pnm)))
}
dget(self.beads._blist[b], "q").add_synchro(sync_q)
dget(self.beads._blist[b], "p").add_synchro(sync_p)
# finally, we mark the beads as those containing the set positions
dget(self.beads, "q").update_man()
dget(self.beads, "p").update_man()
# create path-frequencies related properties
dset(
self, "omegan",
depend_value(name='omegan',
func=self.get_omegan,
dependencies=[dget(self.ensemble, "temp")]))
dset(
self, "omegan2",
depend_value(name='omegan2',
func=self.get_omegan2,
dependencies=[dget(self, "omegan")]))
dset(
self, "omegak",
depend_array(name='omegak',
value=np.zeros(self.beads.nbeads, float),
func=self.get_omegak,
dependencies=[dget(self, "omegan")]))
# sets up "dynamical" masses -- mass-scalings to give the correct RPMD/CMD dynamics
dset(
self, "nm_factor",
depend_array(
name="nmm",
value=np.zeros(self.nbeads, float),
func=self.get_nmm,
dependencies=[dget(self, "nm_freqs"),
dget(self, "mode")]))
dset(
self, "dynm3",
depend_array(
name="dm3",
value=np.zeros((self.nbeads, 3 * self.natoms), float),
func=self.get_dynm3,
dependencies=[dget(self, "nm_factor"),
dget(self.beads, "m3")]))
dset(
self, "dynomegak",
depend_array(
name="dynomegak",
value=np.zeros(self.nbeads, float),
func=self.get_dynwk,
dependencies=[dget(self, "nm_factor"),
dget(self, "omegak")]))
dset(
self, "prop_pq",
depend_array(name='prop_pq',
value=np.zeros((self.beads.nbeads, 2, 2)),
func=self.get_prop_pq,
dependencies=[
dget(self, "omegak"),
dget(self, "nm_factor"),
dget(self.ensemble, "dt")
]))
# if the mass matrix is not the RPMD one, the MD kinetic energy can't be
# obtained in the bead representation because the masses are all mixed up
dset(
self, "kins",
depend_array(name="kins",
value=np.zeros(self.nbeads, float),
func=self.get_kins,
dependencies=[
dget(self, "pnm"),
dget(self.beads, "sm3"),
dget(self, "nm_factor")
]))
dset(
self, "kin",
depend_value(name="kin",
func=self.get_kin,
dependencies=[dget(self, "kins")]))
dset(
self, "kstress",
depend_array(name="kstress",
value=np.zeros((3, 3), float),
func=self.get_kstress,
dependencies=[
dget(self, "pnm"),
dget(self.beads, "sm3"),
dget(self, "nm_factor")
]))
def bind(self, ensemble, motion, beads=None, forces=None):
""" Initializes the normal modes object and binds to beads and ensemble.
Do all the work down here as we need a full-formed necklace and ensemble
to know how this should be done.
Args:
beads: A beads object to be bound.
ensemble: An ensemble object to be bound.
"""
self.ensemble = ensemble
self.motion = motion
if beads is None:
self.beads = motion.beads
else:
self.beads = beads
self.forces = forces
self.nbeads = beads.nbeads
self.natoms = beads.natoms
dself = dd(self)
# stores a reference to the bound beads and ensemble objects
self.ensemble = ensemble
dpipe(dd(motion).dt, dself.dt)
# sets up what's necessary to perform nm transformation.
if self.transform_method == "fft":
self.transform = nmtransform.nm_fft(nbeads=self.nbeads, natoms=self.natoms, open_paths=self.open_paths)
elif self.transform_method == "matrix":
self.transform = nmtransform.nm_trans(nbeads=self.nbeads, open_paths=self.open_paths)
# creates arrays to store normal modes representation of the path.
# must do a lot of piping to create "ex post" a synchronization between the beads and the nm
sync_q = synchronizer()
sync_p = synchronizer()
dself.qnm = depend_array(name="qnm",
value=np.zeros((self.nbeads, 3 * self.natoms), float),
func={"q": (lambda: self.transform.b2nm(dstrip(self.beads.q)))},
synchro=sync_q)
dself.pnm = depend_array(name="pnm",
value=np.zeros((self.nbeads, 3 * self.natoms), float),
func={"p": (lambda: self.transform.b2nm(dstrip(self.beads.p)))},
synchro=sync_p)
# must overwrite the functions
dd(self.beads).q._func = {"qnm": (lambda: self.transform.nm2b(dstrip(self.qnm)))}
dd(self.beads).p._func = {"pnm": (lambda: self.transform.nm2b(dstrip(self.pnm)))}
dd(self.beads).q.add_synchro(sync_q)
dd(self.beads).p.add_synchro(sync_p)
# also within the "atomic" interface to beads
for b in range(self.nbeads):
dd(self.beads._blist[b]).q._func = {"qnm": (lambda: self.transform.nm2b(dstrip(self.qnm)))}
dd(self.beads._blist[b]).p._func = {"pnm": (lambda: self.transform.nm2b(dstrip(self.pnm)))}
dd(self.beads._blist[b]).q.add_synchro(sync_q)
dd(self.beads._blist[b]).p.add_synchro(sync_p)
# finally, we mark the beads as those containing the set positions
dd(self.beads).q.update_man()
dd(self.beads).p.update_man()
# forces can be converted in nm representation, but here it makes no sense to set up a sync mechanism,
# as they always get computed in the bead rep
if not self.forces is None:
dself.fnm = depend_array(name="fnm",
value=np.zeros((self.nbeads, 3 * self.natoms), float), func=(lambda: self.transform.b2nm(dstrip(self.forces.f))),
dependencies=[dd(self.forces).f])
else: # have a fall-back plan when we don't want to initialize a force mechanism, e.g. for ring-polymer initialization
dself.fnm = depend_array(name="fnm",
value=np.zeros((self.nbeads, 3 * self.natoms), float),
func=(lambda: depraise(ValueError("Cannot access NM forces when initializing the NM object without providing a force reference!"))),
dependencies=[])
# create path-frequencies related properties
dself.omegan = depend_value(name='omegan', func=self.get_omegan,
dependencies=[dd(self.ensemble).temp])
dself.omegan2 = depend_value(name='omegan2', func=self.get_omegan2,
dependencies=[dself.omegan])
dself.omegak = depend_array(name='omegak',
value=np.zeros(self.beads.nbeads, float),
func=self.get_omegak, dependencies=[dself.omegan])
dself.omegak2 = depend_array(name='omegak2',
value=np.zeros(self.beads.nbeads, float),
func=(lambda: self.omegak**2), dependencies=[dself.omegak])
# Add o_omegak to calculate the freq in the case of open path
dself.o_omegak = depend_array(name='o_omegak',
value=np.zeros(self.beads.nbeads, float),
func=self.get_o_omegak, dependencies=[dself.omegan])
# sets up "dynamical" masses -- mass-scalings to give the correct RPMD/CMD dynamics
dself.nm_factor = depend_array(name="nm_factor",
value=np.zeros(self.nbeads, float), func=self.get_nmm,
dependencies=[dself.nm_freqs, dself.mode])
# add o_nm_factor for the dynamical mass in the case of open paths
dself.o_nm_factor = depend_array(name="nmm",
value=np.zeros(self.nbeads, float), func=self.get_o_nmm,
dependencies=[dself.nm_freqs, dself.mode])
dself.dynm3 = depend_array(name="dynm3",
value=np.zeros((self.nbeads, 3 * self.natoms), float), func=self.get_dynm3,
dependencies=[dself.nm_factor, dd(self.beads).m3])
dself.dynomegak = depend_array(name="dynomegak",
value=np.zeros(self.nbeads, float), func=self.get_dynwk,
dependencies=[dself.nm_factor, dself.omegak])
dself.dt = depend_value(name="dt", value=1.0)
dpipe(dd(self.motion).dt, dself.dt)
dself.prop_pq = depend_array(name='prop_pq', value=np.zeros((self.beads.nbeads, 2, 2)),
func=self.get_prop_pq,
dependencies=[dself.omegak, dself.nm_factor, dself.dt])
dself.o_prop_pq = depend_array(name='o_prop_pq', value=np.zeros((self.beads.nbeads, 2, 2)),
func=self.get_o_prop_pq,
dependencies=[dself.o_omegak, dself.o_nm_factor, dself.dt])
# if the mass matrix is not the RPMD one, the MD kinetic energy can't be
# obtained in the bead representation because the masses are all mixed up
dself.kins = depend_array(name="kins", value=np.zeros(self.nbeads, float),
func=self.get_kins,
dependencies=[dself.pnm, dd(self.beads).sm3, dself.nm_factor])
dself.kin = depend_value(name="kin", func=self.get_kin,
dependencies=[dself.kins])
dself.kstress = depend_array(name="kstress", value=np.zeros((3, 3), float),
func=self.get_kstress,
dependencies=[dself.pnm, dd(self.beads).sm3, dself.nm_factor])
# spring energy, calculated in normal modes
dself.vspring = depend_value(name="vspring",
value=0.0, func=self.get_vspring,
dependencies=[dself.qnm, dself.omegak, dd(self.beads).m3])
# spring forces on normal modes
dself.fspringnm = depend_array(name="fspringnm",
value=np.zeros((self.nbeads, 3 * self.natoms), float),
func=self.get_fspringnm,
dependencies=[dself.qnm, dself.omegak, dd(self.beads).m3])
# spring forces on beads, transformed from normal modes
dself.fspring = depend_array(name="fs",
value=np.zeros((self.nbeads, 3 * self.natoms), float),
func=(lambda: self.transform.nm2b(dstrip(self.fspringnm))),
dependencies=[dself.fspringnm])
def bind(self, ensemble, motion, beads=None, forces=None):
""" Initializes the normal modes object and binds to beads and ensemble.
Do all the work down here as we need a full-formed necklace and ensemble
to know how this should be done.
Args:
beads: A beads object to be bound.
ensemble: An ensemble object to be bound.
"""
self.ensemble = ensemble
self.motion = motion
if beads is None:
self.beads = motion.beads
else:
self.beads = beads
self.forces = forces
self.nbeads = beads.nbeads
self.natoms = beads.natoms
dself = dd(self)
# stores a reference to the bound beads and ensemble objects
self.ensemble = ensemble
dpipe(dd(motion).dt, dself.dt)
# sets up what's necessary to perform nm transformation.
if self.nbeads == 1: # classical trajectory! don't waste time doing anything!
self.transform = nmtransform.nm_noop(nbeads = self.nbeads)
elif self.transform_method == "fft":
self.transform = nmtransform.nm_fft(nbeads=self.nbeads, natoms=self.natoms, open_paths=self.open_paths)
elif self.transform_method == "matrix":
self.transform = nmtransform.nm_trans(nbeads=self.nbeads, open_paths=self.open_paths)
# creates arrays to store normal modes representation of the path.
# must do a lot of piping to create "ex post" a synchronization between the beads and the nm
sync_q = synchronizer()
sync_p = synchronizer()
dself.qnm = depend_array(name="qnm",
value=np.zeros((self.nbeads, 3 * self.natoms), float),
func={"q": (lambda: self.transform.b2nm(dstrip(self.beads.q)))},
synchro=sync_q)
dself.pnm = depend_array(name="pnm",
value=np.zeros((self.nbeads, 3 * self.natoms), float),
func={"p": (lambda: self.transform.b2nm(dstrip(self.beads.p)))},
synchro=sync_p)
# must overwrite the functions
dd(self.beads).q._func = {"qnm": (lambda: self.transform.nm2b(dstrip(self.qnm)))}
dd(self.beads).p._func = {"pnm": (lambda: self.transform.nm2b(dstrip(self.pnm)))}
dd(self.beads).q.add_synchro(sync_q)
dd(self.beads).p.add_synchro(sync_p)
# also within the "atomic" interface to beads
for b in range(self.nbeads):
dd(self.beads._blist[b]).q._func = {"qnm": (lambda: self.transform.nm2b(dstrip(self.qnm)))}
dd(self.beads._blist[b]).p._func = {"pnm": (lambda: self.transform.nm2b(dstrip(self.pnm)))}
dd(self.beads._blist[b]).q.add_synchro(sync_q)
dd(self.beads._blist[b]).p.add_synchro(sync_p)
# finally, we mark the beads as those containing the set positions
dd(self.beads).q.update_man()
dd(self.beads).p.update_man()
# forces can be converted in nm representation, but here it makes no sense to set up a sync mechanism,
# as they always get computed in the bead rep
if not self.forces is None:
dself.fnm = depend_array(name="fnm",
value=np.zeros((self.nbeads, 3 * self.natoms), float), func=(lambda: self.transform.b2nm(dstrip(self.forces.f))),
dependencies=[dd(self.forces).f])
else: # have a fall-back plan when we don't want to initialize a force mechanism, e.g. for ring-polymer initialization
dself.fnm = depend_array(name="fnm",
value=np.zeros((self.nbeads, 3 * self.natoms), float),
func=(lambda: depraise(ValueError("Cannot access NM forces when initializing the NM object without providing a force reference!"))),
dependencies=[])
# create path-frequencies related properties
dself.omegan = depend_value(name='omegan', func=self.get_omegan,
dependencies=[dd(self.ensemble).temp])
dself.omegan2 = depend_value(name='omegan2', func=self.get_omegan2,
dependencies=[dself.omegan])
dself.omegak = depend_array(name='omegak',
value=np.zeros(self.beads.nbeads, float),
func=self.get_omegak, dependencies=[dself.omegan])
dself.omegak2 = depend_array(name='omegak2',
value=np.zeros(self.beads.nbeads, float),
func=(lambda: self.omegak**2), dependencies=[dself.omegak])
# Add o_omegak to calculate the freq in the case of open path
dself.o_omegak = depend_array(name='o_omegak',
value=np.zeros(self.beads.nbeads, float),
func=self.get_o_omegak, dependencies=[dself.omegan])
# sets up "dynamical" masses -- mass-scalings to give the correct RPMD/CMD dynamics
dself.nm_factor = depend_array(name="nm_factor",
value=np.zeros(self.nbeads, float), func=self.get_nmm,
dependencies=[dself.nm_freqs, dself.mode])
# add o_nm_factor for the dynamical mass in the case of open paths
dself.o_nm_factor = depend_array(name="nmm",
value=np.zeros(self.nbeads, float), func=self.get_o_nmm,
dependencies=[dself.nm_freqs, dself.mode])
dself.dynm3 = depend_array(name="dynm3",
value=np.zeros((self.nbeads, 3 * self.natoms), float), func=self.get_dynm3,
dependencies=[dself.nm_factor, dd(self.beads).m3])
dself.dynomegak = depend_array(name="dynomegak",
value=np.zeros(self.nbeads, float), func=self.get_dynwk,
dependencies=[dself.nm_factor, dself.omegak])
dself.dt = depend_value(name="dt", value=1.0)
dpipe(dd(self.motion).dt, dself.dt)
dself.prop_pq = depend_array(name='prop_pq', value=np.zeros((self.beads.nbeads, 2, 2)),
func=self.get_prop_pq,
dependencies=[dself.omegak, dself.nm_factor, dself.dt])
dself.o_prop_pq = depend_array(name='o_prop_pq', value=np.zeros((self.beads.nbeads, 2, 2)),
func=self.get_o_prop_pq,
dependencies=[dself.o_omegak, dself.o_nm_factor, dself.dt])
# if the mass matrix is not the RPMD one, the MD kinetic energy can't be
# obtained in the bead representation because the masses are all mixed up
dself.kins = depend_array(name="kins", value=np.zeros(self.nbeads, float),
func=self.get_kins,
dependencies=[dself.pnm, dd(self.beads).sm3, dself.nm_factor])
dself.kin = depend_value(name="kin", func=self.get_kin,
dependencies=[dself.kins])
dself.kstress = depend_array(name="kstress", value=np.zeros((3, 3), float),
func=self.get_kstress,
dependencies=[dself.pnm, dd(self.beads).sm3, dself.nm_factor])
# spring energy, calculated in normal modes
dself.vspring = depend_value(name="vspring",
value=0.0, func=self.get_vspring,
dependencies=[dself.qnm, dself.omegak, dself.o_omegak, dd(self.beads).m3])
# spring forces on normal modes
dself.fspringnm = depend_array(name="fspringnm",
value=np.zeros((self.nbeads, 3 * self.natoms), float),
func=self.get_fspringnm,
dependencies=[dself.qnm, dself.omegak, dd(self.beads).m3])
# spring forces on beads, transformed from normal modes
dself.fspring = depend_array(name="fs",
value=np.zeros((self.nbeads, 3 * self.natoms), float),
func=(lambda: self.transform.nm2b(dstrip(self.fspringnm))),
dependencies=[dself.fspringnm])
def bind(self, ensemble, motion, beads=None, forces=None):
""" Initializes the normal modes object and binds to beads and ensemble.
Do all the work down here as we need a full-formed necklace and ensemble
to know how this should be done.
Args:
beads: A beads object to be bound.
ensemble: An ensemble object to be bound.
"""
self.ensemble = ensemble
self.motion = motion
if beads is None:
self.beads = motion.beads
else:
self.beads = beads
self.forces = forces
self.nbeads = beads.nbeads
self.natoms = beads.natoms
# stores a reference to the bound beads and ensemble objects
self.ensemble = ensemble
deppipe(motion, "dt", self, "dt")
# sets up what's necessary to perform nm transformation.
if self.transform_method == "fft":
self.transform = nmtransform.nm_fft(nbeads=self.nbeads, natoms=self.natoms)
elif self.transform_method == "matrix":
self.transform = nmtransform.nm_trans(nbeads=self.nbeads)
# creates arrays to store normal modes representation of the path.
# must do a lot of piping to create "ex post" a synchronization between the beads and the nm
sync_q = synchronizer()
sync_p = synchronizer()
dset(self,"qnm",
depend_array(name="qnm",
value=np.zeros((self.nbeads,3*self.natoms), float),
func={"q": (lambda : self.transform.b2nm(depstrip(self.beads.q)) ) },
synchro=sync_q ) )
dset(self,"pnm",
depend_array(name="pnm",
value=np.zeros((self.nbeads,3*self.natoms), float),
func={"p": (lambda : self.transform.b2nm(depstrip(self.beads.p)) ) },
synchro=sync_p ) )
# must overwrite the functions
dget(self.beads, "q")._func = { "qnm": (lambda : self.transform.nm2b(depstrip(self.qnm)) ) }
dget(self.beads, "p")._func = { "pnm": (lambda : self.transform.nm2b(depstrip(self.pnm)) ) }
dget(self.beads, "q").add_synchro(sync_q)
dget(self.beads, "p").add_synchro(sync_p)
# also within the "atomic" interface to beads
for b in range(self.nbeads):
dget(self.beads._blist[b],"q")._func = { "qnm": (lambda : self.transform.nm2b(depstrip(self.qnm)) ) }
dget(self.beads._blist[b],"p")._func = { "pnm": (lambda : self.transform.nm2b(depstrip(self.pnm)) ) }
dget(self.beads._blist[b],"q").add_synchro(sync_q)
dget(self.beads._blist[b],"p").add_synchro(sync_p)
# finally, we mark the beads as those containing the set positions
dget(self.beads, "q").update_man()
dget(self.beads, "p").update_man()
# forces can be converted in nm representation, but here it makes no sense to set up a sync mechanism,
# as they always get computed in the bead rep
if not self.forces is None: dset(self,"fnm", depend_array(name="fnm",
value=np.zeros((self.nbeads,3*self.natoms), float),func=(lambda : self.transform.b2nm(depstrip(self.forces.f)) ),
dependencies=[dget(self.forces,"f")] ) )
else: # have a fall-back plan when we don't want to initialize a force mechanism, e.g. for ring-polymer initialization
dset(self,"fnm", depend_array(name="fnm",
value=np.zeros((self.nbeads,3*self.natoms), float),
func=(lambda: depraise(ValueError("Cannot access NM forces when initializing the NM object without providing a force reference!") ) ),
dependencies=[] ) )
# create path-frequencies related properties
dset(self,"omegan",
depend_value(name='omegan', func=self.get_omegan,
dependencies=[dget(self.ensemble,"temp")]) )
dset(self,"omegan2", depend_value(name='omegan2',func=self.get_omegan2,
dependencies=[dget(self,"omegan")]) )
dset(self,"omegak", depend_array(name='omegak',
value=np.zeros(self.beads.nbeads,float),
func=self.get_omegak, dependencies=[dget(self,"omegan")]) )
dset(self,"omegak2", depend_array(name='omegak2',
value=np.zeros(self.beads.nbeads,float),
func=(lambda: (self.omegak)**2), dependencies=[dget(self,"omegak")]) )
# sets up "dynamical" masses -- mass-scalings to give the correct RPMD/CMD dynamics
# TODO: Do we really need different names and variable names? Seems confusing.
dset(self,"nm_factor", depend_array(name="nmm",
value=np.zeros(self.nbeads, float), func=self.get_nmm,
dependencies=[dget(self,"nm_freqs"), dget(self,"mode") ]) )
dset(self,"dynm3", depend_array(name="dm3",
value=np.zeros((self.nbeads,3*self.natoms), float),func=self.get_dynm3,
dependencies=[dget(self,"nm_factor"), dget(self.beads, "m3")] ) )
dset(self,"dynomegak", depend_array(name="dynomegak",
value=np.zeros(self.nbeads, float), func=self.get_dynwk,
dependencies=[dget(self,"nm_factor"), dget(self,"omegak") ]) )
dset(self, "dt", depend_value(name="dt", value = 1.0) )
deppipe(self.motion, "dt", self, "dt")
dset(self,"prop_pq",
depend_array(name='prop_pq',value=np.zeros((self.beads.nbeads,2,2)),
func=self.get_prop_pq,
dependencies=[dget(self,"omegak"), dget(self,"nm_factor"), dget(self,"dt")]) )
# if the mass matrix is not the RPMD one, the MD kinetic energy can't be
# obtained in the bead representation because the masses are all mixed up
dset(self,"kins",
depend_array(name="kins",value=np.zeros(self.nbeads, float),
func=self.get_kins,
dependencies=[dget(self,"pnm"), dget(self.beads,"sm3"), dget(self, "nm_factor") ] ))
dset(self,"kin",
depend_value(name="kin", func=self.get_kin,
dependencies=[dget(self,"kins")] ))
dset(self,"kstress",
depend_array(name="kstress",value=np.zeros((3,3), float),
func=self.get_kstress,
dependencies=[dget(self,"pnm"), dget(self.beads,"sm3"), dget(self, "nm_factor") ] ))
# spring energy, calculated in normal modes
dset(self, "vspring",
depend_value(name="vspring",
value=0.0,
func=self.get_vspring,
dependencies=[dget(self, "qnm"), dget(self, "omegak"), dget(self.beads, "m3")]))
# spring forces on normal modes
dset(self, "fspringnm",
depend_array(name="fspringnm",
value=np.zeros((self.nbeads, 3*self.natoms), float),
func=self.get_fspringnm,
dependencies=[dget(self, "qnm"), dget(self, "omegak"), dget(self.beads, "m3")]))
# spring forces on beads, transformed from normal modes
dset(self,"fspring",
depend_array(name="fs",
value=np.zeros((self.nbeads,3*self.natoms), float),
func=(lambda: self.transform.nm2b(depstrip(self.fspringnm))),
dependencies = [dget(self, "fspringnm")]))
def bind(self, beads, ensemble):
""" Initializes the normal modes object and binds to beads and ensemble.
Do all the work down here as we need a full-formed necklace and ensemble
to know how this should be done.
Args:
beads: A beads object to be bound.
ensemble: An ensemble object to be bound.
"""
self.nbeads = beads.nbeads
self.natoms = beads.natoms
# stores a reference to the bound beads and ensemble objects
self.beads = beads
self.ensemble = ensemble
# sets up what's necessary to perform nm transformation.
if self.transform_method == "fft":
self.transform = nmtransform.nm_fft(nbeads=self.nbeads, natoms=self.natoms)
elif self.transform_method == "matrix":
self.transform = nmtransform.nm_trans(nbeads=self.nbeads)
# creates arrays to store normal modes representation of the path.
# must do a lot of piping to create "ex post" a synchronization between the beads and the nm
sync_q = synchronizer()
sync_p = synchronizer()
dset(self,"qnm",
depend_array(name="qnm",
value=np.zeros((self.nbeads,3*self.natoms), float),
func={"q": (lambda : self.transform.b2nm(depstrip(self.beads.q)) ) },
synchro=sync_q ) )
dset(self,"pnm",
depend_array(name="pnm",
value=np.zeros((self.nbeads,3*self.natoms), float),
func={"p": (lambda : self.transform.b2nm(depstrip(self.beads.p)) ) },
synchro=sync_p ) )
# must overwrite the functions
dget(self.beads, "q")._func = { "qnm": (lambda : self.transform.nm2b(depstrip(self.qnm)) ) }
dget(self.beads, "p")._func = { "pnm": (lambda : self.transform.nm2b(depstrip(self.pnm)) ) }
dget(self.beads, "q").add_synchro(sync_q)
dget(self.beads, "p").add_synchro(sync_p)
# also within the "atomic" interface to beads
for b in range(self.nbeads):
dget(self.beads._blist[b],"q")._func = { "qnm": (lambda : self.transform.nm2b(depstrip(self.qnm)) ) }
dget(self.beads._blist[b],"p")._func = { "pnm": (lambda : self.transform.nm2b(depstrip(self.pnm)) ) }
dget(self.beads._blist[b],"q").add_synchro(sync_q)
dget(self.beads._blist[b],"p").add_synchro(sync_p)
# finally, we mark the beads as those containing the set positions
dget(self.beads, "q").update_man()
dget(self.beads, "p").update_man()
# create path-frequencies related properties
dset(self,"omegan",
depend_value(name='omegan', func=self.get_omegan,
dependencies=[dget(self.ensemble,"temp")]) )
dset(self,"omegan2", depend_value(name='omegan2',func=self.get_omegan2,
dependencies=[dget(self,"omegan")]) )
dset(self,"omegak", depend_array(name='omegak',
value=np.zeros(self.beads.nbeads,float),
func=self.get_omegak, dependencies=[dget(self,"omegan")]) )
# sets up "dynamical" masses -- mass-scalings to give the correct RPMD/CMD dynamics
dset(self,"nm_factor", depend_array(name="nmm",
value=np.zeros(self.nbeads, float), func=self.get_nmm,
dependencies=[dget(self,"nm_freqs"), dget(self,"mode") ]) )
dset(self,"dynm3", depend_array(name="dm3",
value=np.zeros((self.nbeads,3*self.natoms), float),func=self.get_dynm3,
dependencies=[dget(self,"nm_factor"), dget(self.beads, "m3")] ) )
dset(self,"dynomegak", depend_array(name="dynomegak",
value=np.zeros(self.nbeads, float), func=self.get_dynwk,
dependencies=[dget(self,"nm_factor"), dget(self,"omegak") ]) )
dset(self,"prop_pq",
depend_array(name='prop_pq',value=np.zeros((self.beads.nbeads,2,2)),
func=self.get_prop_pq,
dependencies=[dget(self,"omegak"), dget(self,"nm_factor"), dget(self.ensemble,"dt")]) )
# if the mass matrix is not the RPMD one, the MD kinetic energy can't be
# obtained in the bead representation because the masses are all mixed up
dset(self,"kins",
depend_array(name="kins",value=np.zeros(self.nbeads, float),
func=self.get_kins,
dependencies=[dget(self,"pnm"), dget(self.beads,"sm3"), dget(self, "nm_factor") ] ))
dset(self,"kin",
depend_value(name="kin", func=self.get_kin,
dependencies=[dget(self,"kins")] ))
dset(self,"kstress",
depend_array(name="kstress",value=np.zeros((3,3), float),
func=self.get_kstress,
dependencies=[dget(self,"pnm"), dget(self.beads,"sm3"), dget(self, "nm_factor") ] ))
