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Commit c44c4176 authored by Gregory Ashton's avatar Gregory Ashton
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Various improvements to the docstrings

parent cf0fee06
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pyfstat.py
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......@@ -60,7 +60,7 @@ logging.basicConfig(level=log_level,
def initializer(func):
""" Automatically assigns the parameters to self"""
""" Automatically assigns the parameters to self """
names, varargs, keywords, defaults = inspect.getargspec(func)
@wraps(func)
......@@ -78,6 +78,7 @@ def initializer(func):
def read_par(label, outdir):
""" Read in a .par file, returns a dictionary of the values """
filename = '{}/{}.par'.format(outdir, label)
d = {}
with open(filename, 'r') as f:
......@@ -88,6 +89,7 @@ def read_par(label, outdir):
class BaseSearchClass(object):
""" The base search class, provides ephemeris and general utilities """
earth_ephem_default = earth_ephem
sun_ephem_default = sun_ephem
......@@ -117,20 +119,19 @@ class BaseSearchClass(object):
----------
theta: array-like, shape (n,)
vector of the expansion coefficients to transform starting from the
lowest degree e.g [phi, F0, F1,...]
lowest degree e.g [phi, F0, F1,...].
dT: float
difference between the two reference times as tref_new - tref_old
difference between the two reference times as tref_new - tref_old.
Returns
-------
theta_new: array-like shape (n,)
vector of the coefficients as evaluate as the new reference time
vector of the coefficients as evaluate as the new reference time.
"""
n = len(theta)
m = self.shift_matrix(n, dT)
return np.dot(m, theta)
# Rewrite this to generalise to N glitches, then use everywhere!
def calculate_thetas(self, theta, delta_thetas, tbounds):
""" Calculates the set of coefficients for the post-glitch signal """
thetas = [theta]
......@@ -154,6 +155,30 @@ class ComputeFstat(object):
minCoverFreq=None, maxCoverFreq=None,
detector=None, earth_ephem=None, sun_ephem=None,
binary=False, transient=True):
"""
Parameters
----------
tref: int
GPS seconds of the reference time.
sftlabel, sftdir: str
A label and directory in which to find the relevant sft file
minCoverFreq, maxCoverFreq: float
The min and max cover frequency passed to CreateFstatInput, if
either is None the range of frequencies in the SFT less 1Hz is
used.
detector: str
Two character reference to the data to use, specify None for no
contraint.
earth_ephem, sun_ephem: str
Paths of the two files containing positions of Earth and Sun,
respectively at evenly spaced times, as passed to CreateFstatInput.
If None defaults defined in BaseSearchClass will be used.
binary: bool
If true, search of binary parameters.
transient: bool
If true, allow for the Fstat to be computed over a transient range.
"""
if earth_ephem is None:
self.earth_ephem = self.earth_ephem_default
......@@ -229,7 +254,7 @@ class ComputeFstat(object):
F2, Alpha, Delta, asini=None,
period=None, ecc=None, tp=None,
argp=None):
""" Compute the F-stat fully-coherently at a single point """
""" Returns the twoF fully-coherently at a single point """
self.PulsarDopplerParams.fkdot = np.array([F0, F1, F2, 0, 0, 0, 0])
self.PulsarDopplerParams.Alpha = Alpha
......@@ -268,30 +293,34 @@ class SemiCoherentGlitchSearch(BaseSearchClass, ComputeFstat):
"""
@initializer
def __init__(self, label, outdir, tref, tstart, tend, sftlabel=None,
nglitch=0, sftdir=None, minCoverFreq=None, maxCoverFreq=None,
detector=None, earth_ephem=None, sun_ephem=None):
def __init__(self, label, outdir, tref, tstart, tend, nglitches=0,
sftlabel=None, sftdir=None, minCoverFreq=None,
maxCoverFreq=None, detector=None, earth_ephem=None,
sun_ephem=None):
"""
Parameters
----------
label, outdir: str
A label and directory to read/write data from/to
A label and directory to read/write data from/to.
tref, tstart, tend: int
GPS seconds of the reference time, and start and end of the data.
nglitch: int
The (fixed) number of glitches; this can zero, but occasionally
this causes issue (in which case just use ComputeFstat).
sftlabel, sftdir: str
A label and directory in which to find the relevant sft file. If
None use label and outdir
tref: int
GPS seconds of the reference time
None use label and outdir.
minCoverFreq, maxCoverFreq: float
The min and max cover frequency passed to CreateFstatInput, if
either is None the range of frequencies in the SFT less 1Hz is
used.
detector: str
Two character reference to the data to use, specify None for no
contraint
contraint.
earth_ephem, sun_ephem: str
Paths of the two files containing positions of Earth and Sun,
respectively at evenly spaced times, as passed to CreateFstatInput
If None defaults defined in BaseSearchClass will be used
respectively at evenly spaced times, as passed to CreateFstatInput.
If None defaults defined in BaseSearchClass will be used.
"""
if self.sftlabel is None:
......@@ -308,7 +337,7 @@ class SemiCoherentGlitchSearch(BaseSearchClass, ComputeFstat):
self.init_computefstatistic_single_point()
def compute_nglitch_fstat(self, F0, F1, F2, Alpha, Delta, *args):
""" Compute the semi-coherent glitch F-stat """
""" Returns the semi-coherent glitch summed twoF """
args = list(args)
tboundaries = [self.tstart] + args[-self.nglitch:] + [self.tend]
......@@ -341,7 +370,10 @@ class SemiCoherentGlitchSearch(BaseSearchClass, ComputeFstat):
def compute_glitch_fstat_single(self, F0, F1, F2, Alpha, Delta, delta_F0,
delta_F1, tglitch):
""" Compute the semi-coherent glitch F-stat """
""" Returns the semi-coherent glitch summed twoF for nglitch=1
Note: used for testing
"""
theta = [F0, F1, F2]
delta_theta = [delta_F0, delta_F1, 0]
......@@ -372,8 +404,8 @@ class MCMCSearch(BaseSearchClass):
@initializer
def __init__(self, label, outdir, sftlabel, sftdir, theta_prior, tref,
tstart, tend, nsteps=[100, 100, 100], nwalkers=100, ntemps=1,
theta_initial=None, minCoverFreq=None, maxCoverFreq=None,
scatter_val=1e-4, betas=None, binary=False,
log10temperature_min=-5, theta_initial=None, scatter_val=1e-4,
binary=False, minCoverFreq=None, maxCoverFreq=None,
detector=None, earth_ephem=None, sun_ephem=None):
"""
Parameters
......@@ -397,8 +429,17 @@ class MCMCSearch(BaseSearchClass):
give the nburn and nprod of the 'production' run, all entries
before are for iterative initialisation steps (usually just one)
e.g. [1000, 1000, 500].
nwalkers, ntemps: int
Number of walkers and temperatures
nwalkers, ntemps: int,
The number of walkers and temperates to use in the parallel
tempered PTSampler.
log10temperature_min float < 0
The log_10(tmin) value, the set of betas passed to PTSampler are
generated from np.logspace(0, log10temperature_min, ntemps).
binary: Bool
If true, search over binary parameters
detector: str
Two character reference to the data to use, specify None for no
contraint.
minCoverFreq, maxCoverFreq: float
Minimum and maximum instantaneous frequency which will be covered
over the SFT time span as passed to CreateFstatInput
......@@ -406,8 +447,6 @@ class MCMCSearch(BaseSearchClass):
Paths of the two files containing positions of Earth and Sun,
respectively at evenly spaced times, as passed to CreateFstatInput
If None defaults defined in BaseSearchClass will be used
binary: Bool
If true, search over binary parameters
"""
......@@ -421,7 +460,9 @@ class MCMCSearch(BaseSearchClass):
self.theta_prior['tend'] = self.tend
self.unpack_input_theta()
self.ndim = len(self.theta_keys)
self.betas = np.logspace(0, self.log10temperature_min, self.ntemps)
self.sft_filepath = self.sftdir+'/*_'+self.sftlabel+"*sft"
if earth_ephem is None:
self.earth_ephem = self.earth_ephem_default
if sun_ephem is None:
......@@ -932,10 +973,10 @@ class MCMCGlitchSearch(MCMCSearch):
""" MCMC search using the SemiCoherentGlitchSearch """
@initializer
def __init__(self, label, outdir, sftlabel, sftdir, theta_prior, tref,
tstart, tend, nsteps=[100, 100, 100], nwalkers=100, ntemps=1,
nglitch=0, theta_initial=None, minCoverFreq=None,
maxCoverFreq=None, scatter_val=1e-4, betas=None,
detector=None, dtglitchmin=20*86400, earth_ephem=None,
tstart, tend, nglitch=1, nsteps=[100, 100, 100], nwalkers=100,
ntemps=1, log10temperature_min=-5, theta_initial=None,
scatter_val=1e-4, dtglitchmin=20*86400, detector=None,
minCoverFreq=None, maxCoverFreq=None, earth_ephem=None,
sun_ephem=None):
"""
Parameters
......@@ -964,8 +1005,15 @@ class MCMCGlitchSearch(MCMCSearch):
dtglitchmin: int
The minimum duration (in seconds) of a segment between two glitches
or a glitch and the start/end of the data
nwalkers, ntemps: int
Number of walkers and temperatures
nwalkers, ntemps: int,
The number of walkers and temperates to use in the parallel
tempered PTSampler.
log10temperature_min float < 0
The log_10(tmin) value, the set of betas passed to PTSampler are
generated from np.logspace(0, log10temperature_min, ntemps).
detector: str
Two character reference to the data to use, specify None for no
contraint.
minCoverFreq, maxCoverFreq: float
Minimum and maximum instantaneous frequency which will be covered
over the SFT time span as passed to CreateFstatInput
......@@ -984,6 +1032,7 @@ class MCMCGlitchSearch(MCMCSearch):
self.pickle_path = '{}/{}_saved_data.p'.format(self.outdir, self.label)
self.unpack_input_theta()
self.ndim = len(self.theta_keys)
self.betas = np.logspace(0, self.log10temperature_min, self.ntemps)
self.sft_filepath = self.sftdir+'/*_'+self.sftlabel+"*sft"
if earth_ephem is None:
self.earth_ephem = self.earth_ephem_default
......
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