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Analysis of ATLAS Muon Data from runs in the cavern

Analysis of ATLAS Muon Data from runs in the cavern. Isabella Griffin Norfolk State University Manuela Cirilli University of Michigan. Background. participating in the commissioning activities of MDT chambers both during common ATLAS periods and standalone for the Muon System.

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Analysis of ATLAS Muon Data from runs in the cavern

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  1. Analysis of ATLAS Muon Data from runs in the cavern Isabella Griffin Norfolk State University Manuela Cirilli University of Michigan I. Griffin

  2. Background • participating in the commissioning activities of MDT chambers • both during common ATLAS periods and standalone for the Muon System I. Griffin

  3. What am I doing here? • Learning how online monitoring works • Trying to debug the software and detector • Aiming to give feedback and have better online monitoring before the next common ATLAS run (M4, Aug 23) • working with the commissioning community, learning to use tools, learn how to look at data, learn the modern particle physicist's life (many many meetings!) I. Griffin

  4. Debugging work on online monitoring • the online monitoring normally runs during data acquisition, but can also be run afterwards on a data file: • this is used to check what happens when you modify the code • I learned to run the online monitoring in offline mode (which takes forever and a day!) I. Griffin

  5. Debugging work on online monitoring • I am concentrating on debugging the computation of the chamber noise during runs at HV off: • I run MDT chambers at HV off, and I set a random trigger • I usually won't see anything, but from time to time I get spurious hits coming from noise I. Griffin

  6. Debugging work.. • There are far too many zeros in the channel for the huge number of events that were acquired • all these zeros were traced to an error in filling the histograms • the monitoring people were filling the histograms with integers (in stead of floats) and so they were cutting everything which was below the KHz level of noise I. Griffin

  7. Results of offline run • The monitoring code was modified to actually fill floating point numbers • I re-ran the code offline and I obtained a different result • Number of triggers 1131942 • ========================================================================== • tube AtlasId hits noise counts noise frequency(kHz) • ========================================================================== • 1 1101 2586 2585 1.79884 • 2 1102 331 331 0.230335 • 3 1103 0 0 0 <--- DEAD TUBE • 4 1104 2 2 0.00139175 • 5 1105 14 14 0.00974228 • 6 1106 265 265 0.184407 • 7 1107 1341 1341 0.933171 • 8 1108 75 75 0.0521908 • 9 1109 74 74 0.0514949 • 10 1110 11520 11520 8.0165 • 11 1111 199 199 0.13848 • 12 1112 15 15 0.0104382 • 13 1113 29 29 0.0201804 • 14 1114 66 66 0.0459279 • 15 1115 223 223 0.155181 • 16 1116 289 289 0.201108 • 17 1117 238 238 0.165619 • 18 1118 14 14 0.00974228 • 19 1119 14 14 0.00974228 • 20 1120 7 7 0.00487114 • 21 1121 42 42 0.0292268 • 22 1122 87 87 0.0605413 • 23 1123 116 116 0.0807217 • 24 1124 1412 1412 0.982578 • 25 1125 14 14 0.00974228 • 26 1126 101 101 0.0702836 • 27 1127 4 4 0.00278351 • 28 1128 0 0 0 <--- DEAD TUBE • 29 1129 0 0 0 <--- DEAD TUBE • 30 1130 1 1 0.000695877 • 31 1131 0 0 0 <--- DEAD TUBE • 32 1132 3 3 0.00208763 • 33 1133 2192 2192 1.52536 • 34 1134 839 839 0.583841 • 35 1135 196 196 0.136392 • 36 1136 18 18 0.0125258 • 37 1137 668 668 0.464846 • 38 1138 240 240 0.16701 • 39 1139 20 20 0.0139175 • 40 1140 16405 16405 11.4159 <--- NOISY TUBE • 41 1141 109 109 0.0758506 • 42 1142 5 5 0.00347938 • 43 1143 15 15 0.0104382 • 44 1144 0 0 0 <--- DEAD TUBE • 45 1145 21 21 0.0146134 • 46 1146 1 1 0.000695877 • 47 1147 9 9 0.00626289 • 48 1148 7 7 0.00487114 • 49 1149 658 658 0.457887 • 50 1150 809 809 0.562964 • 51 1151 496 496 0.345155 • 52 1152 9 9 0.00626289 • 53 1153 96 96 0.0668042 • 54 1154 83 83 0.0577578 • 55 1155 516 516 0.359072 • 56 1156 18 18 0.0125258 • 57 1157 4603 4601 3.20173 • 58 1158 426 426 0.296444 • 59 1159 38 38 0.0264433 • 60 1160 103 103 0.0716753 • 61 1161 376 376 0.26165 • 62 1162 185 185 0.128737 • 63 1163 62 62 0.0431444 • 64 1164 2675 2675 1.86147 • 65 1201 44 44 0.0306186 • 66 1202 22 22 0.0153093 • 67 1203 16 16 0.011134 • 68 1204 23 23 0.0160052 • 69 1205 128 128 0.0890722 • 70 1206 391 391 0.272088 • 71 1207 254 254 0.176753 • 72 1208 343 343 0.238686 • 73 1209 390 390 0.271392 • 74 1210 297 297 0.206675 • 75 1211 67 67 0.0466238 • 76 1212 27 27 0.0187887 • 77 1213 331 331 0.230335 • 78 1214 355 355 0.247036 • 79 1215 225 225 0.156572 • 80 1216 49 49 0.034098 • 81 1217 102 102 0.0709794 • 82 1218 6 6 0.00417526 • 83 1219 4 4 0.00278351 • 84 1220 3 3 0.00208763 • 85 1221 12 12 0.00835052 • 86 1222 348 348 0.242165 • 87 1223 8 8 0.00556702 • 88 1224 165 165 0.11482 • 89 1225 1 1 0.000695877 • 90 1226 9 9 0.00626289 • 91 1227 2 2 0.00139175 • 92 1228 0 0 0 <--- DEAD TUBE • 93 1229 16 16 0.011134 • 94 1230 310 310 0.215722 • 95 1231 7 7 0.00487114 • 96 1232 280 280 0.194846 • 97 1233 251 251 0.174665 • 98 1234 63 63 0.0438402 • 99 1235 55 55 0.0382732 • 100 1236 6 6 0.00417526 • 101 1237 34 34 0.0236598 • 102 1238 42 42 0.0292268 • 103 1239 12 12 0.00835052 • 104 1240 1009 1009 0.70214 • 105 1241 22 22 0.0153093 • 106 1242 41 41 0.028531 • 107 1243 70 70 0.0487114 • 108 1244 35 35 0.0243557 • 109 1245 43 43 0.0299227 • 110 1246 2057 2057 1.43142 • 111 1247 41 41 0.028531 • 112 1248 119 119 0.0828094 • 113 1249 31 31 0.0215722 • 114 1250 1 1 0.000695877 • 115 1251 2 2 0.00139175 • 116 1252 1 1 0.000695877 • 117 1253 57 57 0.039665 • 118 1254 53 53 0.0368815 • 119 1255 4 4 0.00278351 • 120 1256 293 293 0.203892 • 121 1257 71 71 0.0494073 • 122 1258 22 22 0.0153093 • 123 1259 23 23 0.0160052 • 124 1260 10 10 0.00695877 • 125 1261 185 185 0.128737 • 126 1262 0 0 0 <--- DEAD TUBE • 127 1263 31 31 0.0215722 • 128 1264 333 333 0.231727 • 129 1301 37 37 0.0257474 • 130 1302 207 207 0.144047 • 131 1303 31 31 0.0215722 • 132 1304 36 36 0.0250516 • 133 1305 33 33 0.0229639 • 134 1306 251 251 0.174665 • 135 1307 212 212 0.147526 • 136 1308 47 47 0.0327062 • 137 1309 71 71 0.0494073 • 138 1310 4 4 0.00278351 • 139 1311 6 6 0.00417526 • 140 1312 0 0 0 <--- DEAD TUBE • 141 1313 4 4 0.00278351 • 142 1314 2 2 0.00139175 • 143 1315 10 10 0.00695877 • 144 1316 12 12 0.00835052 • 145 1317 87 87 0.0605413 • 146 1318 715 715 0.497552 • 147 1319 164 164 0.114124 • 148 1320 58 58 0.0403609 • 149 1321 508 508 0.353505 • 150 1322 123 123 0.0855929 • 151 1323 121 121 0.0842011 • 152 1324 10 10 0.00695877 • 153 1325 768 768 0.534433 • 154 1326 215 215 0.149614 • 155 1327 299 299 0.208067 • 156 1328 167 167 0.116211 • 157 1329 377 377 0.262346 • 158 1330 2835 2834 1.97212 • 159 1331 389 389 0.270696 • 160 1332 210 210 0.146134 • 161 1333 24 24 0.016701 • 162 1334 78 78 0.0542784 • 163 1335 8 8 0.00556702 • 164 1336 4 4 0.00278351 • 165 1337 3 3 0.00208763 • 166 1338 355 355 0.247036 • 167 1339 11 11 0.00765465 • 168 1340 2 2 0.00139175 • 169 1341 136 136 0.0946393 • 170 1342 2140 2140 1.48918 • 171 1343 9140 9140 6.36032 • 172 1344 76 76 0.0528866 • 173 1345 266 266 0.185103 • 174 1346 306 306 0.212938 • 175 1347 158 158 0.109949 • 176 1348 18673 18673 12.9941 <--- NOISY TUBE • 177 1349 2715 2715 1.88931 • 178 1350 50 50 0.0347938 • 179 1351 43 43 0.0299227 • 180 1352 18 18 0.0125258 • 181 1353 80 80 0.0556702 • 182 1354 32 32 0.0222681 • 183 1355 18 18 0.0125258 • 184 1356 62 62 0.0431444 • 185 1357 14 14 0.00974228 • 186 1358 16 16 0.011134 • 187 1359 1 1 0.000695877 • 188 1360 0 0 0 <--- DEAD TUBE • 189 1361 3 3 0.00208763 • 190 1362 0 0 0 <--- DEAD TUBE • 191 1363 2 2 0.00139175 • 192 1364 8 8 0.00556702 • 193 2101 16 16 0.011134 • 194 2102 86 86 0.0598454 • 195 2103 0 0 0 <--- DEAD TUBE • 196 2104 0 0 0 <--- DEAD TUBE • 197 2105 66 66 0.0459279 • 198 2106 66 66 0.0459279 • 199 2107 1635 1635 1.13776 • 200 2108 6 6 0.00417526 • 201 2109 31065 31065 21.6174 <--- NOISY TUBE • 202 2110 2048 2047 1.42446 • 203 2111 4487 4487 3.1224 • 204 2112 42 42 0.0292268 • 205 2113 180 180 0.125258 • 206 2114 104 104 0.0723712 • 207 2115 1617 1617 1.12523 • 208 2116 97 97 0.0675001 • 209 2117 243 243 0.169098 • 210 2118 86 86 0.0598454 • 211 2119 12 12 0.00835052 • 212 2120 0 0 0 <--- DEAD TUBE • 213 2121 2 2 0.00139175 • 214 2122 0 0 0 <--- DEAD TUBE • 215 2123 21 21 0.0146134 • 216 2124 14 14 0.00974228 • 217 2125 205 205 0.142655 • 218 2126 1834 1834 1.27624 • 219 2127 12 12 0.00835052 • 220 2128 1 1 0.000695877 • 221 2129 3 3 0.00208763 • 222 2130 13 13 0.0090464 • 223 2131 16 16 0.011134 • 224 2132 3 3 0.00208763 • 225 2133 90 90 0.0626289 • 226 2134 55 55 0.0382732 • 227 2135 26 26 0.0180928 • 228 2136 1 1 0.000695877 • 229 2137 2 2 0.00139175 • 230 2138 9 9 0.00626289 • 231 2139 76 76 0.0528866 • 232 2140 21 21 0.0146134 • 233 2141 22 22 0.0153093 • 234 2142 19 19 0.0132217 • 235 2143 43 43 0.0299227 • 236 2144 25 25 0.0173969 • 237 2145 190 190 0.132217 • 238 2146 71 71 0.0494073 • 239 2147 82 82 0.0570619 • 240 2148 262 262 0.18232 • 241 2149 20 20 0.0139175 • 242 2150 8 8 0.00556702 • 243 2151 7 7 0.00487114 • 244 2152 4 4 0.00278351 • 245 2153 56 56 0.0389691 • 246 2154 31 31 0.0215722 • 247 2155 49 49 0.034098 • 248 2156 173 173 0.120387 • 249 2157 299 299 0.208067 • 250 2158 0 0 0 <--- DEAD TUBE • 251 2159 96 96 0.0668042 • 252 2160 5 5 0.00347938 • 253 2161 11 11 0.00765465 • 254 2162 10 10 0.00695877 • 255 2163 14 14 0.00974228 • 256 2164 33 33 0.0229639 • 257 2201 2888 2887 2.009 • 258 2202 23 23 0.0160052 • 259 2203 652 652 0.453712 • 260 2204 9 9 0.00626289 • 261 2205 7 7 0.00487114 • 262 2206 64 64 0.0445361 • 263 2207 160 160 0.11134 • 264 2208 70 70 0.0487114 • 265 2209 45 45 0.0313145 • 266 2210 290 290 0.201804 • 267 2211 42 42 0.0292268 • 268 2212 1 1 0.000695877 • 269 2213 3 3 0.00208763 • 270 2214 29 29 0.0201804 • 271 2215 6 6 0.00417526 • 272 2216 731 731 0.508686 • 273 2217 73 73 0.050799 • 274 2218 129 129 0.0897681 • 275 2219 228 228 0.15866 • 276 2220 7 7 0.00487114 • 277 2221 8 8 0.00556702 • 278 2222 6 6 0.00417526 • 279 2223 41 41 0.028531 • 280 2224 45 45 0.0313145 • 281 2225 95 95 0.0661083 • 282 2226 1041 1041 0.724408 • 283 2227 836 836 0.581753 • 284 2228 16 16 0.011134 • 285 2229 33 33 0.0229639 • 286 2230 36 36 0.0250516 • 287 2231 682 682 0.474588 • 288 2232 132 132 0.0918558 • 289 2233 18 18 0.0125258 • 290 2234 2 2 0.00139175 • 291 2235 34 34 0.0236598 • 292 2236 0 0 0 <--- DEAD TUBE • 293 2237 0 0 0 <--- DEAD TUBE • 294 2238 9 9 0.00626289 • 295 2239 190 190 0.132217 • 296 2240 0 0 0 <--- DEAD TUBE • 297 2241 1428 1428 0.993712 • 298 2242 45 45 0.0313145 • 299 2243 0 0 0 <--- DEAD TUBE • 300 2244 1 1 0.000695877 • 301 2245 0 0 0 <--- DEAD TUBE • 302 2246 621 621 0.43214 • 303 2247 10 10 0.00695877 • 304 2248 75 75 0.0521908 • 305 2249 310 310 0.215722 • 306 2250 616 616 0.42866 • 307 2251 420 420 0.292268 • 308 2252 6 6 0.00417526 • 309 2253 8 8 0.00556702 • 310 2254 662 662 0.460671 • 311 2255 2061 2061 1.4342 • 312 2256 11 11 0.00765465 • 313 2257 215 215 0.149614 • 314 2258 19 19 0.0132217 • 315 2259 122 122 0.084897 • 316 2260 20 20 0.0139175 • 317 2261 34 34 0.0236598 • 318 2262 35 35 0.0243557 • 319 2263 142 142 0.0988145 • 320 2264 1522 1522 1.05912 • 321 2301 764 764 0.53165 • 322 2302 17 17 0.0118299 • 323 2303 141 141 0.0981186 • 324 2304 1 1 0.000695877 • 325 2305 18 18 0.0125258 • 326 2306 1339 1339 0.931779 • 327 2307 314 314 0.218505 • 328 2308 165 165 0.11482 • 329 2309 0 0 0 <--- DEAD TUBE • 330 2310 0 0 0 <--- DEAD TUBE • 331 2311 0 0 0 <--- DEAD TUBE • 332 2312 0 0 0 <--- DEAD TUBE • 333 2313 0 0 0 <--- DEAD TUBE • 334 2314 2 2 0.00139175 • 335 2315 4 4 0.00278351 • 336 2316 45 45 0.0313145 • 337 2317 10 10 0.00695877 • 338 2318 117 117 0.0814176 • 339 2319 21 21 0.0146134 • 340 2320 30 30 0.0208763 • 341 2321 4 4 0.00278351 • 342 2322 638 638 0.443969 • 343 2323 813 813 0.565748 • 344 2324 364 364 0.253299 • 345 2325 4769 4769 3.31864 • 346 2326 1051 1051 0.731367 • 347 2327 349 349 0.242861 • 348 2328 47 47 0.0327062 • 349 2329 158 158 0.109949 • 350 2330 424 424 0.295052 • 351 2331 54 54 0.0375774 • 352 2332 441 441 0.306882 • 353 2333 1820 1820 1.2665 • 354 2334 4091 4091 2.84683 • 355 2335 523 523 0.363944 • 356 2336 424 424 0.295052 • 357 2337 1008 1008 0.701444 • 358 2338 52 52 0.0361856 • 359 2339 5474 5474 3.80923 • 360 2340 52133 52133 36.2782 <--- NOISY TUBE • 361 2341 282 282 0.196237 • 362 2342 56 56 0.0389691 • 363 2343 183 183 0.127345 • 364 2344 0 0 0 <--- DEAD TUBE • 365 2345 4 4 0.00278351 • 366 2346 221 221 0.153789 • 367 2347 2283 2283 1.58869 • 368 2348 13 13 0.0090464 • 369 2349 1178 1178 0.819743 • 370 2350 1180 1180 0.821135 • 371 2351 11 11 0.00765465 • 372 2352 7 7 0.00487114 • 373 2353 16 16 0.011134 • 374 2354 7 7 0.00487114 • 375 2355 1010 1010 0.702836 • 376 2356 51 51 0.0354897 • 377 2357 4068 4068 2.83083 • 378 2358 373 373 0.259562 • 379 2359 236 236 0.164227 • 380 2360 102 102 0.0709794 • 381 2361 452 452 0.314536 • 382 2362 1757 1757 1.22266 • 383 2363 2163 2163 1.50518 • 384 2364 831 831 0.578274

  8. Debugging work • now I am comparing these results to those obtained with a standalone analysis program • there are discrepancies in the number of noise hits per tube and we are now investigating these discrepancies I. Griffin

  9. We half-way there! I. Griffin

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