debug
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@ -338,7 +338,7 @@ class DensityProfileBEC2dModel(Model):
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self.set_param_hint('condensate_fraction', expr=f'{self.prefix}BEC_amplitude / ({self.prefix}BEC_amplitude + {self.prefix}thermal_amplitude)')
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self.set_param_hint('condensate_fraction', expr=f'{self.prefix}BEC_amplitude / ({self.prefix}BEC_amplitude + {self.prefix}thermal_amplitude)')
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def guess(self, data, x, y, negative=False, **kwargs):
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def guess(self, data, x, y, negative=False, pureBECThreshold=0.5, **kwargs):
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"""Estimate initial model parameter values from data."""
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"""Estimate initial model parameter values from data."""
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fitModel = TwoGaussian2dModel()
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fitModel = TwoGaussian2dModel()
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pars = fitModel.guess(data, x=x, y=y, negative=negative)
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pars = fitModel.guess(data, x=x, y=y, negative=negative)
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@ -358,7 +358,7 @@ class DensityProfileBEC2dModel(Model):
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# thermal_sigmay=(pars_guess['B_sigmay'].value * s2)
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# thermal_sigmay=(pars_guess['B_sigmay'].value * s2)
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)
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)
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if BEC_amplitude / (thermal_amplitude + BEC_amplitude) > 0.5:
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if BEC_amplitude / (thermal_amplitude + BEC_amplitude) > pureBECThreshold:
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pars[f'{self.prefix}thermal_amplitude'].set(value=0)
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pars[f'{self.prefix}thermal_amplitude'].set(value=0)
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pars[f'{self.prefix}BEC_amplitude'].set(value=(thermal_amplitude + BEC_amplitude))
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pars[f'{self.prefix}BEC_amplitude'].set(value=(thermal_amplitude + BEC_amplitude))
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