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@ -518,7 +518,7 @@ |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 17, |
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"execution_count": 32, |
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"metadata": {}, |
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"outputs": [ |
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{ |
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@ -527,7 +527,8 @@ |
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"text": [ |
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"2591\n", |
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"1908\n", |
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"4499\n" |
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"4499\n", |
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"5767\n" |
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] |
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} |
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], |
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@ -535,43 +536,47 @@ |
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"both = ak.concatenate([found,lost],axis=0)\n", |
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"print(ak.num(found,axis=0))\n", |
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"print(ak.num(lost,axis=0))\n", |
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"print(ak.num(both,axis=0))" |
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"print(ak.num(both,axis=0))\n", |
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"\n", |
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"tracks = allcolumns[(allcolumns.fromSignal) & (allcolumns.isElectron) & (~allcolumns.lost)]\n", |
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"alltracks = allcolumns[(allcolumns.fromSignal) & (allcolumns.isElectron)]\n", |
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"print(ak.num(tracks,axis=0))" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 19, |
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"execution_count": 33, |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"name": "stdout", |
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"output_type": "stream", |
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"text": [ |
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"#events w/ shared track electrons from found and lost: 1\n", |
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"event_count: [2822, 2822]\n", |
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"velo idx: [146, 146]\n", |
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"mcp_index: [5806, 5829]\n", |
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"#events w/ shared track electrons from found and lost: 35\n", |
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"event_count: [359, 359]\n", |
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"velo idx: [25, 25]\n", |
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"mcp_index: [2926, 2936]\n", |
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"\n", |
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"velo x: [-75.1, -75.1]\n", |
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"velo y: [5.88, 5.88]\n", |
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"velo x: [5.89, 5.89]\n", |
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"velo y: [9.81, 9.81]\n", |
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"\n", |
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"velo tx: [-0.0908, -0.0908]\n", |
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"velo ty: [0.00703, 0.00703]\n", |
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"percentage of e with shared tracks: 0.0445\n" |
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"velo tx: [0.00824, 0.00824]\n", |
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"velo ty: [0.0135, 0.0135]\n", |
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"percentage of e with shared tracks: 0.7488\n" |
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] |
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} |
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], |
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"source": [ |
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"#versuche teilchen von denselben events mit shared tracks zu finden. \n", |
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"#idee: alle teilchen eines events sind durch event_count auffindbar. \n", |
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"a_f_itr = found[\"event_count\"].to_numpy()\n", |
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"a_f_itr = tracks[\"event_count\"].to_numpy()\n", |
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"f_itr = np.unique(a_f_itr)\n", |
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"\n", |
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"shared = ak.ArrayBuilder()\n", |
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"count = 0\n", |
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"\n", |
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"for itr in f_itr:\n", |
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" temp = both[both[\"event_count\"]==itr]\n", |
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" temp = alltracks[alltracks[\"event_count\"]==itr]\n", |
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" if ak.num(temp,axis=0)>1:\n", |
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" #iterate over cols in temp and append all with duplicate velo_track_idx, such that possibles is array with possible shared tracks particles\n", |
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" #idea: look at one event at a time and at one velo track at a time. if there are at least two e with the same velo_track_idx in the same event,\n", |
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@ -603,7 +608,7 @@ |
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"\n", |
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"\n", |
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"\n", |
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"print(\"percentage of e with shared tracks: \", np.round((ak.num(shared,axis=0)*2)/(ak.num(both,axis=0))*100,4))" |
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"print(\"percentage of e with shared tracks: \", np.round((ak.num(shared,axis=0)*2)/(ak.num(alltracks,axis=0))*100,4))" |
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] |
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}, |
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{ |
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