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34 | 34 | # -----------------------------------------------
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35 | 35 | # See /docs/pdf/peakfit.pdf
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36 | 36 |
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37 |
| - # `single`, `dual` and `dual-unitary-I` [signal weight] |
| 37 | + # `single`, `dual` and `dual-unitary-I` [signal yield ~ count units] |
38 | 38 | theta_start: 100.0
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39 |
| - theta_limit: [1.0e-4, 1.0e+9] |
| 39 | + theta_limit: [1.0e-3, 1.0e+9] |
40 | 40 | theta_fixed: False
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41 | 41 |
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42 | 42 | # `dual`, `dual-unitary-I` and `dual-unitary-II` [efficiency]
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|
64 | 64 | # -----------------------------------------------
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65 | 65 | # See /docs/pdf/peakfit.pdf
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66 | 66 |
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67 |
| - # `single` and `dual` [background weight] |
68 |
| - theta_start: 0.1 |
69 |
| - theta_limit: [1.0e-4, 1.0e+9] |
| 67 | + # `single` and `dual` [background yield ~ count units] |
| 68 | + theta_start: 10.0 |
| 69 | + theta_limit: [1.0e-3, 1.0e+9] |
70 | 70 | theta_fixed: False
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71 | 71 |
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72 | 72 | # `dual`, `dual-unitary-I` and `dual-unitary-II` [efficiency]
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@@ -106,8 +106,8 @@ techno:
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106 | 106 | ncall_minuit_simplex: 0 # Number of Nelder-Mead simplex search calls (0 or 1)
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107 | 107 | ncall_minuit_gradient: 10000 # Number of Minuit gradient search calls
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108 | 108 |
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109 |
| - minos: True # If True, Minuit MINOS uncertainties (slower but best), otherwise HESSE |
110 |
| - migrad_first_step: 0.001 # First step size (relative percentage), set None for migrad heuristic |
| 109 | + minos: True # If True, Minuit MINOS uncertainties (slower but best), otherwise HESSE |
| 110 | + migrad_first_step: 0.001 # First step size (relative percentage), set None for migrad heuristic |
111 | 111 |
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112 | 112 | min_ndof: 1 # Minimum number of d.o.f required
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113 | 113 | max_chi2: 1200 # Maximum chi2/ndf for a succesful fit
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