number_parameters: 4
background_weight: 0.990000000000000
background_weight_step: 0.000001000000000
background_weight_min: 0.800000000000000
background_weight_max: 1.000000000000000
optimize_background_weight: 1
background_parameters[4]: 1.00000000000000000000, 0.58069999999999999396, 25.95179108466230033514, 1.00000000000000000000
background_step[4]: 0.02000000000000000042, 0.00000400000000000000, 0.00008000000000000001, 0.02000000000000000042
background_min[4]: 0.00000000000000000000, 0.58060000000000000497, 1.00000000000000000000, 0.10000000000000000555
background_max[4]: 3.00000000000000000000, 0.58079999999999998295, 30.00000000000000000000, 3.00000000000000000000
optimize_parameter[4]:  0, 1, 0, 0
number_streams: 4, 5
stream_weight: -0.880694845180898
stream_weight_step: 0.000001000000000
stream_weight_min: -20.000000000000000
stream_weight_max: 20.000000000000000
optimize_weight: 1
stream_parameters[5]: 351.53742540416499195999, 48.68014149404479695704, 1.91968361177894997205, 0.56757136452093903678, 17.60070079084410110681
stream_step[5]: 0.00003000000000000000, 0.00004000000000000000, 0.00006000000000000000, 0.00004000000000000000, 0.00000400000000000000
stream_min[5]: 350.00000000000000000000, 2.00000000000000000000, 0.00000000000000000000, 0.00000000000000000000, 0.10000000000000000555
stream_max[5]: 400.00000000000000000000, 60.00000000000000000000, 3.14000000000000012434, 3.14000000000000012434, 25.00000000000000000000
optimize_parameter[5]:  1, 1, 1, 1, 1
stream_weight: -0.004315235072981
stream_weight_step: 0.000001000000000
stream_weight_min: -20.000000000000000
stream_weight_max: 20.000000000000000
optimize_weight: 1
stream_parameters[5]: 378.04958404621697809489, 21.49005290009520052763, 1.75615997532856993324, 3.12060558686841993392, 3.64119265335438990761
stream_step[5]: 0.00003000000000000000, 0.00004000000000000000, 0.00006000000000000000, 0.00004000000000000000, 0.00000400000000000000
stream_min[5]: 350.00000000000000000000, 2.00000000000000000000, 0.00000000000000000000, 0.00000000000000000000, 0.10000000000000000555
stream_max[5]: 400.00000000000000000000, 60.00000000000000000000, 3.14000000000000012434, 3.14000000000000012434, 25.00000000000000000000
optimize_parameter[5]:  1, 1, 1, 1, 1
stream_weight: -1.935357165752390
stream_weight_step: 0.000001000000000
stream_weight_min: -20.000000000000000
stream_weight_max: 20.000000000000000
optimize_weight: 1
stream_parameters[5]: 383.01945459708497310203, 25.16585888988830177482, 2.68278406259909019127, 0.78951723210171198541, 0.68328857100540696390
stream_step[5]: 0.00003000000000000000, 0.00004000000000000000, 0.00006000000000000000, 0.00004000000000000000, 0.00000400000000000000
stream_min[5]: 350.00000000000000000000, 2.00000000000000000000, 0.00000000000000000000, 0.00000000000000000000, 0.10000000000000000555
stream_max[5]: 400.00000000000000000000, 60.00000000000000000000, 3.14000000000000012434, 3.14000000000000012434, 25.00000000000000000000
optimize_parameter[5]:  1, 1, 1, 1, 1
stream_weight: -4.446914269843340
stream_weight_step: 0.000001000000000
stream_weight_min: -20.000000000000000
stream_weight_max: 20.000000000000000
optimize_weight: 1
stream_parameters[5]: 375.99769252716799883274, 29.46760200213680036541, 1.76069906525438990563, 2.20629695492102007037, 0.27203381014268301907
stream_step[5]: 0.00003000000000000000, 0.00004000000000000000, 0.00006000000000000000, 0.00004000000000000000, 0.00000400000000000000
stream_min[5]: 350.00000000000000000000, 2.00000000000000000000, 0.00000000000000000000, 0.00000000000000000000, 0.10000000000000000555
stream_max[5]: 400.00000000000000000000, 60.00000000000000000000, 3.14000000000000012434, 3.14000000000000012434, 25.00000000000000000000
optimize_parameter[5]:  1, 1, 1, 1, 1
convolve: 120
sgr_coordinates: 0
wedge: 85
r[min,max,steps]: 16.000000000000000, 22.500000000000000, 700
mu[min,max,steps]: 350.000000000000000, 400.000000000000000, 800
nu[min,max,steps]: -1.250000000000000, 1.250000000000000, 320
number_cuts: 1
r_cut[min,max,steps][3]: 16.000000000000000, 22.500000000000000, 700
mu_cut[min,max,steps][3]: 370.000000000000000, 380.000000000000000, 10
nu_cut[min,max,steps][3]: -1.250000000000000, 1.250000000000000, 320