class PeaceGaussBroadbandednessRater(base.BaseRater):
short_name = "peace_bb_gauss"
long_name = "PEACE Broadbandedness (Gauss)"
description = "Broadbandedness of the signal. The shape of " \
"the profile is determined by fitting a Gaussian."
version = 1
rat_cls = peace.PeaceRatingClass()
def _compute_rating(self, cand):
"""
"""
peace = cand.get_from_cache('peace')
return peace['broadbandedness_gauss']
class PeaceSnrRater(base.BaseRater):
short_name = "peace_snr"
long_name = "PEACE SNR"
description = "A PEACEful version of signal-to-noise ratio. " \
"The higher the better."
version = 1
rat_cls = peace.PeaceRatingClass()
def _compute_rating(self, cand):
"""
"""
peace = cand.get_from_cache('peace')
return peace['snr']
class PeaceProgCountPersistenceRater(base.BaseRater):
short_name = "peace_persist_progcount"
long_name = "PEACE Persistence (Progressive Counting)"
description = "Persistence of the signal. The shape of " \
"the profile is determined by progressively " \
"counting the highest peak."
version = 1
rat_cls = peace.PeaceRatingClass()
def _compute_rating(self, cand):
"""
"""
peace = cand.get_from_cache('peace')
return peace['persistence_peak']
class PeaceCompositeScoreRater(base.BaseRater):
short_name = "peace_composite_score"
long_name = "Composite PEACE Score"
description = "A composite score using information from all " \
"PEACE ratings. Values are smaller than 0. " \
"Usually score > -5 indicates a very good candidate."
version = 1
rat_cls = peace.PeaceRatingClass()
def _compute_rating(self, cand):
"""
"""
peace = cand.get_from_cache('peace')
return peace['score_all']
class PeaceDmSmearRater(base.BaseRater):
short_name = "peace_dmsmear"
long_name = "PEACE DM Smearing"
description = "Pulse width divided by per-channel DM smearing. " \
"Width of the pulse profile is determined by " \
"progressively counting the highest peak."
version = 1
rat_cls = peace.PeaceRatingClass()
def _compute_rating(self, cand):
"""
"""
peace = cand.get_from_cache('peace')
return peace['DMsmearing']
class PeaceGaussWidthRater(base.BaseRater):
short_name = "peace_width_gauss"
long_name = "PEACE Pulse Width (Gauss)"
description = "Width of the pulse profile as determined by " \
"fitting Gaussian components. The value is " \
"fractional width of the pulse (between 0 and 1)."
version = 1
rat_cls = peace.PeaceRatingClass()
def _compute_rating(self, cand):
"""
"""
peace = cand.get_from_cache('peace')
return peace['pulsewidth_gauss']
class PeaceProgCountWidthRater(base.BaseRater):
short_name = "peace_width_progcount"
long_name = "PEACE Pulse Width (Progressive Counting)"
description = "Width of the pulse profile as determined by " \
"progressively counting the highest peak." \
"The value is " \
"fractional width of the pulse (between 0 and 1)."
version = 1
rat_cls = peace.PeaceRatingClass()
def _compute_rating(self, cand):
"""
"""
peace = cand.get_from_cache('peace')
return peace['pulsewidth_progcnt']
class PeaceCompositeGaussScoreRater(base.BaseRater):
short_name = "peace_composite_guass_score"
long_name = "Composite PEACE Score (Gauss)"
description = "A composite score using information from all " \
"Gaussian-fit-based PEACE ratings. Values are " \
"smaller than 0. Usually score > -5 indicates a " \
"very good candidate."
version = 1
rat_cls = peace.PeaceRatingClass()
def _compute_rating(self, cand):
"""
"""
peace = cand.get_from_cache('peace')
return peace['score_gauss']