~/workspace/gslfit$ ./nlfit 
read 240 / 240 points
data: 0 -41 -4.1
data: 1 -21 -2.1
data: 2 0 0
data: 3 -12 -1.2
data: 4 -24 -2.4
data: 5 1 0.1
data: 6 -22 -2.2
data: 7 -15 -1.5
data: 8 -21 -2.1
data: 9 -10 -1
data: 10 -15 -1.5
data: 11 -7 -0.7
data: 12 -12 -1.2
data: 13 -11 -1.1
data: 14 -15 -1.5
data: 15 3 0.3
data: 16 -6 -0.6
data: 17 5 0.5
data: 18 -5 -0.5
data: 19 -17 -1.7
data: 20 -15 -1.5
data: 21 -20 -2
data: 22 -21 -2.1
data: 23 8 0.8
data: 24 -5 -0.5
data: 25 13 1.3
data: 26 -1 -0.1
data: 27 13 1.3
data: 28 -2 -0.2
data: 29 -17 -1.7
data: 30 -10 -1
data: 31 -4 -0.4
data: 32 -12 -1.2
data: 33 -13 -1.3
data: 34 5 0.5
data: 35 -16 -1.6
data: 36 6 0.6
data: 37 10 1
data: 38 52 5.2
data: 39 105 10.5
data: 40 149 14.9
data: 41 297 29.7
data: 42 421 42.1
data: 43 589 58.9
data: 44 724 72.4
data: 45 907 90.7
data: 46 902 90.2
data: 47 927 92.7
data: 48 906 90.6
data: 49 768 76.8
data: 50 655 65.5
data: 51 515 51.5
data: 52 367 36.7
data: 53 246 24.6
data: 54 152 15.2
data: 55 125 12.5
data: 56 68 6.8
data: 57 30 3
data: 58 36 3.6
data: 59 20 2
data: 60 -4 -0.4
data: 61 17 1.7
data: 62 32 3.2
data: 63 23 2.3
data: 64 63 6.3
data: 65 60 6
data: 66 78 7.8
data: 67 70 7
data: 68 60 6
data: 69 45 4.5
data: 70 46 4.6
data: 71 35 3.5
data: 72 59 5.9
data: 73 32 3.2
data: 74 49 4.9
data: 75 39 3.9
data: 76 11 1.1
data: 77 24 2.4
data: 78 28 2.8
data: 79 30 3
data: 80 36 3.6
data: 81 18 1.8
data: 82 19 1.9
data: 83 11 1.1
data: 84 23 2.3
data: 85 15 1.5
data: 86 19 1.9
data: 87 21 2.1
data: 88 9 0.9
data: 89 21 2.1
data: 90 -8 -0.8
data: 91 8 0.8
data: 92 -13 -1.3
data: 93 3 0.3
data: 94 30 3
data: 95 10 1
data: 96 20 2
data: 97 -16 -1.6
data: 98 10 1
data: 99 15 1.5
data: 100 -2 -0.2
data: 101 17 1.7
data: 102 12 1.2
data: 103 20 2
data: 104 5 0.5
data: 105 16 1.6
data: 106 6 0.6
data: 107 5 0.5
data: 108 11 1.1
data: 109 9 0.9
data: 110 46 4.6
data: 111 27 2.7
data: 112 30 3
data: 113 57 5.7
data: 114 111 11.1
data: 115 197 19.7
data: 116 433 43.3
data: 117 824 82.4
data: 118 1459 145.9
data: 119 2391 239.1
data: 120 3431 343.1
data: 121 4442 444.2
data: 122 5232 523.2
data: 123 5603 560.3
data: 124 5522 552.2
data: 125 5059 505.9
data: 126 4381 438.1
data: 127 3440 344
data: 128 2586 258.6
data: 129 1777 177.7
data: 130 1141 114.1
data: 131 737 73.7
data: 132 538 53.8
data: 133 407 40.7
data: 134 404 40.4
data: 135 370 37
data: 136 395 39.5
data: 137 368 36.8
data: 138 397 39.7
data: 139 386 38.6
data: 140 372 37.2
data: 141 371 37.1
data: 142 364 36.4
data: 143 324 32.4
data: 144 316 31.6
data: 145 328 32.8
data: 146 307 30.7
data: 147 279 27.9
data: 148 291 29.1
data: 149 277 27.7
data: 150 303 30.3
data: 151 395 39.5
data: 152 602 60.2
data: 153 944 94.4
data: 154 1439 143.9
data: 155 1975 197.5
data: 156 2385 238.5
data: 157 2657 265.7
data: 158 2627 262.7
data: 159 2486 248.6
data: 160 2193 219.3
data: 161 1763 176.3
data: 162 1419 141.9
data: 163 971 97.1
data: 164 668 66.8
data: 165 472 47.2
data: 166 344 34.4
data: 167 330 33
data: 168 334 33.4
data: 169 302 30.2
data: 170 297 29.7
data: 171 295 29.5
data: 172 270 27
data: 173 277 27.7
data: 174 270 27
data: 175 253 25.3
data: 176 247 24.7
data: 177 236 23.6
data: 178 232 23.2
data: 179 230 23
data: 180 200 20
data: 181 204 20.4
data: 182 175 17.5
data: 183 214 21.4
data: 184 184 18.4
data: 185 184 18.4
data: 186 161 16.1
data: 187 195 19.5
data: 188 164 16.4
data: 189 171 17.1
data: 190 161 16.1
data: 191 159 15.9
data: 192 167 16.7
data: 193 140 14
data: 194 152 15.2
data: 195 185 18.5
data: 196 169 16.9
data: 197 149 14.9
data: 198 158 15.8
data: 199 173 17.3
data: 200 132 13.2
data: 201 145 14.5
data: 202 165 16.5
data: 203 146 14.6
data: 204 139 13.9
data: 205 132 13.2
data: 206 176 17.6
data: 207 138 13.8
data: 208 148 14.8
data: 209 132 13.2
data: 210 123 12.3
data: 211 153 15.3
data: 212 125 12.5
data: 213 116 11.6
data: 214 106 10.6
data: 215 130 13
data: 216 143 14.3
data: 217 155 15.5
data: 218 148 14.8
data: 219 120 12
data: 220 141 14.1
data: 221 163 16.3
data: 222 143 14.3
data: 223 124 12.4
data: 224 145 14.5
data: 225 145 14.5
data: 226 114 11.4
data: 227 110 11
data: 228 104 10.4
data: 229 130 13
data: 230 123 12.3
data: 231 125 12.5
data: 232 119 11.9
data: 233 141 14.1
data: 234 98 9.8
data: 235 111 11.1
data: 236 141 14.1
data: 237 157 15.7
data: 238 165 16.5
data: 239 191 19.1
summary from method 'lmsder'
number of iterations: 1
function evaluations: 20
Jacobian evaluations: 0
reason for stopping: small gradient
initial |f(x)| = nan
final   |f(x)| = nan
chisq/dof = nan
Amp      = 870.00000 +/- nan
sigma    = 5.00000 +/- nan
peak     = 49.00000 +/- -nan
Amp      = 5530.00000 +/- nan
sigma    = 5.00000 +/- nan
peak     = 125.00000 +/- nan
Amp      = 2554.00000 +/- nan
sigma    = 5.00000 +/- nan
peak     = 160.00000 +/- nan
status = success