Bugfix in exp_parameter: If resulting sigmas are infinite, values are set to finite values. Leads then to a symmetric distribution.
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				| @ -51,8 +51,11 @@ def exp_parameter(te, tm, tl, eta): | ||||
| 
 | ||||
|     sig1 = np.log(eta) / (te - tm) | ||||
|     sig2 = np.log(eta) / (tm - tl) | ||||
|     if np.isinf(sig1) == True: | ||||
|         sig1 = np.log(eta) / (tm - tl) | ||||
|     if np.isinf(sig2) == True: | ||||
|         sig2 = np.log(eta) / (te - tm) | ||||
|     a = 1 / (1 / sig1 + 1 / sig2) | ||||
| 
 | ||||
|     return tm, sig1, sig2, a | ||||
| 
 | ||||
| 
 | ||||
|  | ||||
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