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use finer energy piece decomposition for faster fitting
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1 changed files with 3 additions and 3 deletions
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@ -469,7 +469,7 @@ def _vectfit_nuclide(endf_file, njoy_error=5e-4, vf_error=1e-3, vf_pieces=None,
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mts = [2, 27]
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if log:
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print(" MTs: {})".format(mts))
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print(" MTs: {}".format(mts))
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print(" Energy range: {:.3e} to {:.3e} eV ({} points)".format(
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E_min, E_max, n_points))
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@ -480,8 +480,8 @@ def _vectfit_nuclide(endf_file, njoy_error=5e-4, vf_error=1e-3, vf_pieces=None,
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# divide into pieces for complex nuclides
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peaks, _ = find_peaks(total_xs)
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n_peaks = peaks.size
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if n_peaks > 300 or n_points > 50000 or n_peaks * n_points > 100*30000:
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vf_pieces = max(5, n_peaks // 80, n_points // 5000)
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if n_peaks > 200 or n_points > 30000 or n_peaks * n_points > 100*10000:
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vf_pieces = max(5, n_peaks // 50, n_points // 2000)
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else:
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vf_pieces = 1
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piece_width = (sqrt(E_max) - sqrt(E_min)) / vf_pieces
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