Detectors with veto threshold "None" fail

[rhallid]

If a configuration is added, or generated (either by editing factory.py or by using it's functions), and the vet_threshold value is left as None (the default for the KM3NeT config), it will throw an error:

`---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/var/folders/94/sygq2hyx6rl0h_61_vm5t_d80000gn/T/ipykernel_78786/2428488385.py in
13 #set up separate discovery potential calculations for Fictive-Optical-TracksOnly
14
---> 15 discpot=figures_of_merit.PointSource({'KM3NeT':15}, i)
16 outdat2[i]=discpot.benchmark(figures_of_merit.TOT.ul)

~/Dropbox/ICAnalyses/Gen2Factory/toise/toise/figures_of_merit.py in init(self, exposures, zi)
101 class PointSource(object):
102 def init(self, exposures, zi):
--> 103 self.bundle = factory.component_bundle(
104 exposures, partial(self.make_components, zi)
105 )

~/Dropbox/ICAnalyses/Gen2Factory/toise/toise/factory.py in init(self, livetimes, component_factory, **kwargs)
291 self.detectors = dict()
292 for detector, livetime in livetimes.items():
--> 293 for channel, aeff in aeff_factory.get()(detector).items():
294 key = detector + "_" + channel
295 if "restricted" in kwargs:

~/Dropbox/ICAnalyses/Gen2Factory/toise/toise/factory.py in call(self, name)
275 if not name in self._aeffs:
276 opts, kwargs = self._recipes[name]
--> 277 self._aeffs[name] = self._create(opts, **kwargs)
278 return self._aeffs[name]
279

~/Dropbox/ICAnalyses/Gen2Factory/toise/toise/factory.py in _create(self, opts, **kwargs)
260 else:
261 psi_bins = kwargs.pop("psi_bins")
--> 262 nu, mu = create_aeff(opts, psi_bins=psi_bins["tracks"], **kwargs)
263 aeffs["shadowed_tracks"] = (nu[0], mu[0])
264 aeffs["unshadowed_tracks"] = (nu[1], mu[1])

~/Dropbox/ICAnalyses/Gen2Factory/toise/toise/factory.py in create_aeff(opts, **kwargs)
115 )
116
--> 117 bundle_aeff = effective_areas.create_bundle_aeff(
118 energy_resolution=effective_areas.get_energy_resolution(
119 resolution_geometry, opts.spacing

~/Dropbox/ICAnalyses/Gen2Factory/toise/toise/effective_areas.py in create_bundle_aeff(energy_resolution, energy_threshold, veto_coverage, selection_efficiency, surface, cos_theta, **kwargs)
610 # avoids the mess of different E_true -> E_reco mappings for different
611 # detector geometries
--> 612 veto_suppression = 1 - energy_threshold.accept(
613 *numpy.meshgrid(center(e_mu), center(cos_theta), indexing="ij")
614 )

~/Dropbox/ICAnalyses/Gen2Factory/toise/toise/effective_areas.py in accept(self, e_mu, cos_theta)
233 return numpy.where(
234 cos_theta > 0.05,
--> 235 (e_mu > self.threshold) & (cos_theta >= self.max_inclination),
236 True,
237 )

TypeError: '>' not supported between instances of 'float' and 'NoneType'`