def __init__(self, ebins, czbins, reco_mc_wt_file=None, **kwargs):
"""
Parameters needed to instantiate a MC-based reconstruction service:
* ebins: Energy bin edges
* czbins: cos(zenith) bin edges
* reco_weight_file: HDF5 containing the MC events to construct the kernels
"""
self.simfile = reco_mc_wt_file
RecoServiceBase.__init__(self, ebins, czbins, simfile=self.simfile, **kwargs)
def __init__(self, ebins, czbins, reco_mc_wt_file=None, **kwargs):
"""
Parameters needed to instantiate a MC-based reconstruction service:
* ebins: Energy bin edges
* czbins: cos(zenith) bin edges
* reco_weight_file: HDF5 containing the MC events to construct the kernels
"""
self.simfile = reco_mc_wt_file
RecoServiceBase.__init__(self, ebins, czbins, simfile=self.simfile, **kwargs)
def __init__(self, ebins, czbins, reco_kernel_file=None, **kwargs):
"""
Parameters needed to instantiate a reconstruction service with
pre-calculated kernels:
* ebins: Energy bin edges
* czbins: cos(zenith) bin edges
* reco_kernel_file: JSON containing the kernel dict
"""
self.kernelfile = reco_kernel_file
RecoServiceBase.__init__(self, ebins, czbins,
kernelfile=reco_kernel_file, **kwargs)
def __init__(self, ebins, czbins, reco_kernel_file=None, **kwargs):
"""
Parameters needed to instantiate a reconstruction service with
pre-calculated kernels:
* ebins: Energy bin edges
* czbins: cos(zenith) bin edges
* reco_kernel_file: JSON containing the kernel dict
"""
self.kernelfile = reco_kernel_file
RecoServiceBase.__init__(self, ebins, czbins,
kernelfile=reco_kernel_file, **kwargs)
def __init__(self,
ebins,
czbins,
reco_vbwkde_evts_file,
reco_vbwkde_make_plots=False,
**kwargs):
"""Initializtion
Parameters
----------
ebins : sequence
Neutrino energy histogram bin edges
czbins : sequence
Cosine-of-zenith histogram bin edges
reco_vbwkde_evts_file : str or dict
Resource location of HDF5 file containing event reconstruction
information for each of the neutrino flavors and interaction types.
If an HDF5 file name is specified, the method utils.hdf.from_hdf
converts the contents to a nested dictionary. With either type of
input, the dictionary must have the form
eventsdict[flav][int_type][{true|reco}_{energy|coszen}] =
np.array([...], dtype=float64)
where each array of the same flav and int_type must be of the
same length.
"""
self.kernels = None
self.reco_events_hash = ''
self.duplicate_nu_bar_cc = False
self.duplicate_nc = False
self.MIN_NUM_EVENTS = 100
self.TGT_NUM_EVENTS = 300
self.EPSILON = 1e-10
self.ENERGY_RANGE = [0, 501]
RecoServiceBase.__init__(self,
ebins=ebins,
czbins=czbins,
reco_vbwkde_evts_file=reco_vbwkde_evts_file,
reco_vbwkde_make_plots=reco_vbwkde_make_plots,
**kwargs)
def __init__(self, ebins, czbins, reco_vbwkde_evts_file,
reco_vbwkde_make_plots=False, **kwargs):
"""Initializtion
Parameters
----------
ebins : sequence
Neutrino energy histogram bin edges
czbins : sequence
Cosine-of-zenith histogram bin edges
reco_vbwkde_evts_file : str or dict
Resource location of HDF5 file containing event reconstruction
information for each of the neutrino flavors and interaction types.
If an HDF5 file name is specified, the method utils.hdf.from_hdf
converts the contents to a nested dictionary. With either type of
input, the dictionary must have the form
eventsdict[flav][int_type][{true|reco}_{energy|coszen}] =
np.array([...], dtype=float64)
where each array of the same flav and int_type must be of the
same length.
"""
self.kernels = None
self.reco_events_hash = ''
self.duplicate_nu_bar_cc = False
self.duplicate_nc = False
self.MIN_NUM_EVENTS = 100
self.TGT_NUM_EVENTS = 300
self.EPSILON = 1e-10
self.ENERGY_RANGE = [0, 501]
RecoServiceBase.__init__(self, ebins=ebins, czbins=czbins,
reco_vbwkde_evts_file=reco_vbwkde_evts_file,
reco_vbwkde_make_plots=reco_vbwkde_make_plots,
**kwargs)
def __init__(self, ebins, czbins, reco_param_file=None, **kwargs):
"""
Parameters needed to instantiate a reconstruction service with
parametrizations:
* ebins: Energy bin edges
* czbins: cos(zenith) bin edges
* reco_param_file: JSON containing the parametrizations
"""
# Load parametrization
logging.info('Opening reconstruction parametrization file %s'
%reco_param_file)
# Needed for self.read_param_string()
self.ebins = ebins
self.czbins = czbins
# Get parametrization
param_str = from_json(find_resource(reco_param_file))
self.parametrization = self.read_param_string(param_str)
# No **kwargs, so stored kernels will always have reco scales 1.0
RecoServiceBase.__init__(self, ebins, czbins,**kwargs)
def __init__(self, ebins, czbins, reco_param_file=None, **kwargs):
"""
Parameters needed to instantiate a reconstruction service with
parametrizations:
* ebins: Energy bin edges
* czbins: cos(zenith) bin edges
* reco_param_file: JSON containing the parametrizations
"""
# Load parametrization
logging.info('Opening reconstruction parametrization file %s' %
reco_param_file)
# Needed for self.read_param_string()
self.ebins = ebins
self.czbins = czbins
# Get parametrization
param_str = from_json(find_resource(reco_param_file))
self.parametrization = self.read_param_string(param_str)
# No **kwargs, so stored kernels will always have reco scales 1.0
RecoServiceBase.__init__(self, ebins, czbins, **kwargs)
