{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"toc": "true"
},
"source": [
"Table of Contents
\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Investigating Issues with Track Reconstruction and Simulation in Run 14\n",
"\n",
"More information is available in my slides at\n",
"https://plexoos.github.io/pub-docs/star-run14-jetcorr-issue\n",
"\n",
"To investigate the reason for the drop in the number of global tracks in Run 14 data\n",
"we create the following branches:\n",
"\n",
"`baseline` = `ds-fix-cmake-build`: This is our baseline for a \"recent\" code\n",
" - https://github.com/plexoos/star-cvs/commits/ds-fix-cmake-build\n",
"\n",
"`ds-jc-fix`: Revert changes causing the drop as found by Dmitri. This is essentiall the same\n",
"patch as on `ds-jc-fix-SL16f`\n",
" - https://github.com/plexoos/star-cvs/commits/ds-jc-fix\n",
" \n",
"`ds-jc-fix-3`: Same patch as `ds-jc-fix` rebased on a later commit following some `approx()`\n",
"bug related changes introduced by Victor\n",
" - https://github.com/plexoos/star-cvs/commits/ds-jc-fix-3 \n",
"\n",
"`ds-jc-fix-cutele`: In addition to `ds-jc-fix` revert the change in `mCutEle` value\n",
" - https://github.com/plexoos/star-cvs/commits/ds-jc-fix-cutele\n",
"\n",
"`ds-jc-fix-victor-2`: Changes proposed by Victor. These changes were pointed to me by email\n",
"and I applied them as found in a Victor's directory\n",
" - https://github.com/plexoos/star-cvs/commits/ds-jc-fix-victor-2\n",
"\n",
"`ds-jc-fix-victor-3`: This is similar to `ds-jc-fix-victor-2` except it is based on\n",
"a later commit and committed to CVS. Most importantly, this patch set has the same scale\n",
"factor applied to the track error matrix as in SL16f\n",
" - https://github.com/plexoos/star-cvs/commits/ds-jc-fix-victor-3\n",
" \n",
"`ds-jc-fix-victor-4`: This branch is based on `ds-jc-fix-victor-3`. It includes a change to\n",
"the argument of the `approx()` function in order to exactly match the result of `ds-jc-fix`\n",
"and `ds-jc-fix-3`\n",
" - https://github.com/plexoos/star-cvs/commits/ds-jc-fix-victor-4 \n",
"\n",
"`ds-jc-fix-SL16f-last-good` and `ds-jc-fix-SL16f-first-bad`: The bug causing the drop in\n",
"the number of global track has been narrowed down to be between these two references\n",
" - https://github.com/plexoos/star-cvs/commits/ds-jc-fix-SL16f-last-good\n",
" - https://github.com/plexoos/star-cvs/commits/ds-jc-fix-SL16f-fist-bad\n",
"\n",
"`ds-jc-fix-SL16f`: Contains a (minimal) patch fixing the problem by reverting changes between\n",
"`ds-jc-fix-SL16f-last-good` and `ds-jc-fix-SL16f-first-bad`\n",
" - https://github.com/plexoos/star-cvs/commits/ds-jc-fix-SL16f\n",
"\n",
"Each of the proposed changes we test with real data from Run 14 and Run 18, and simulation\n",
"from Run 14\n",
"\n",
"For quick navigation use the links to various test results at the top of this page."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import plotly.io as pio\n",
"pio.templates.default = \"none\"\n",
"\n",
"import uproot\n",
"import numpy as np\n",
"import plotly.offline as ofl\n",
"import mypytk.plotlytools as ptls\n",
"\n",
"ofl.init_notebook_mode(connected=True)\n",
"\n",
"config = dict(displayModeBar=False, staticPlot=False, showLink=False)\n",
"#config = dict(displayModeBar=True, staticPlot=True, showLink=False)\n",
" \n",
"layout = {\n",
" 'xaxis': {'showgrid': True, 'gridcolor': '#ccc', 'gridwidth': 1, 'automargin': True},\n",
" 'yaxis1': {'showgrid': True, 'gridcolor': '#ccc', 'gridwidth': 1, 'title': 'Events', 'automargin': True},\n",
" 'yaxis2': {'showgrid': True, 'gridcolor': '#ccc', 'gridwidth': 1, 'title': 'Ratio', 'automargin': True},\n",
" 'barmode': 'overlay',\n",
" 'legend': {'orientation': 'h', 'y': 1.06},\n",
" #'showlegend': False,\n",
" 'margin': {'l': 50, 'r': 15, 'b': 40, 't': 5, 'pad': 5},\n",
" 'width': 800,\n",
" 'height': 900,\n",
" #'font': dict(size=20)\n",
"}\n",
"\n",
"\n",
"observables = {\n",
" 'nhits': {'branch': 'GlobalTracks.mNHitsFit', 'bins': np.linspace(0, 48, 49), 'yaxis_range': [0.7, 1.3], 'xaxis_title': 'Number of Hits'},\n",
" 'pt': {'branch': 'GlobalTracks.mPt', 'bins': np.linspace(0, 2, 51), 'yaxis_range': [0.7, 1.2], 'xaxis_title': 'Transverse Momentum'},\n",
" 'eta': {'branch': 'GlobalTracks.mEta', 'bins': np.linspace(-1.5, 1.5, 51), 'yaxis_range': [0.7, 1.3], 'xaxis_title': 'Pseudorapidity'},\n",
" 'chi2': {'branch': 'GlobalTracks.mChiSqXY', 'bins': np.linspace(0, 6, 61) , 'yaxis_range': [0.6, 1.4], 'xaxis_title': 'Chi-squared'}\n",
"}\n",
"\n",
"#selection = 'pt < 2 and pt > 0.5'\n",
"#selection = 'nhits > 12 and pt < 2'\n",
"selection = 'nhits >= 15'"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"ptls.output_figure_dir='./graphics/'\n",
"ptls.include_plotlyjs='/pub-docs/assets/plotly.min.js'\n",
"\n",
"all_hists = {}\n",
"\n",
"trace_names = ['With bug', 'Patched', 'Ratio']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Run 14 Data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## baseline vs ds-jc-fix (public)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Plot Number of Hits\n",
"Entries total: 317791, 316974, frac t1/t0: 0.997\n",
"Entries selected: 205630, 223651, frac s1/s0: 1.09\n",
"Fraction selected: 0.647, 0.706\n"
]
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"displayModeBar": false,
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": false,
"staticPlot": false
},
"data": [
{
"hoverinfo": "none",
"marker": {
"opacity": 0.5
},
"name": "Patched",
"offset": 0,
"type": "bar",
"width": 1,
"x": [
0.5,
1.5,
2.5,
3.5,
4.5,
5.5,
6.5,
7.5,
8.5,
9.5,
10.5,
11.5,
12.5,
13.5,
14.5,
15.5,
16.5,
17.5,
18.5,
19.5,
20.5,
21.5,
22.5,
23.5,
24.5,
25.5,
26.5,
27.5,
28.5,
29.5,
30.5,
31.5,
32.5,
33.5,
34.5,
35.5,
36.5,
37.5,
38.5,
39.5,
40.5,
41.5,
42.5,
43.5,
44.5,
45.5,
46.5,
47.5
],
"xaxis": "x",
"y": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
12079,
10904,
10260,
9682,
9256,
9104,
8919,
9089,
9112,
9244,
9181,
8986,
9295,
9093,
9483,
9018,
8851,
8779,
8179,
7564,
6796,
6362,
5536,
4677,
3991,
3203,
2465,
1902,
1392,
864,
385,
0,
0
],
"yaxis": "y"
},
{
"hoverinfo": "none",
"marker": {
"opacity": 0.5
},
"name": "With bug",
"offset": 0,
"type": "bar",
"width": 1,
"x": [
0.5,
1.5,
2.5,
3.5,
4.5,
5.5,
6.5,
7.5,
8.5,
9.5,
10.5,
11.5,
12.5,
13.5,
14.5,
15.5,
16.5,
17.5,
18.5,
19.5,
20.5,
21.5,
22.5,
23.5,
24.5,
25.5,
26.5,
27.5,
28.5,
29.5,
30.5,
31.5,
32.5,
33.5,
34.5,
35.5,
36.5,
37.5,
38.5,
39.5,
40.5,
41.5,
42.5,
43.5,
44.5,
45.5,
46.5,
47.5
],
"xaxis": "x",
"y": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
12861,
11326,
10245,
9502,
9063,
8560,
8484,
8333,
8250,
8277,
8074,
7974,
8138,
7993,
8205,
7973,
7610,
7685,
7030,
6619,
5947,
5490,
4867,
4162,
3611,
2861,
2253,
1739,
1322,
818,
358,
0,
0
],
"yaxis": "y"
},
{
"error_x": {
"type": "constant",
"value": 0.5
},
"error_y": {
"array": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.011900127865374088,
0.012916588224470615,
0.013987354934215546,
0.014713961631059647,
0.015092271380126476,
0.0160121638327837,
0.01594296656548977,
0.016542647033929825,
0.016785170882940292,
0.01690051518380642,
0.017348797991871834,
0.017337312921881676,
0.01733940653502941,
0.01744251325726509,
0.017425866797566414,
0.01738729141652584,
0.018182234838604927,
0.01784532144665718,
0.018922017887234688,
0.019234072417020798,
0.020291568711400032,
0.021346865221858025,
0.022350400686264038,
0.02394595555961132,
0.0253842044621706,
0.028799258172512054,
0.03188934922218323,
0.03628826513886452,
0.04043685272336006,
0.05152760073542595,
0.07895874232053757,
0,
0
]
},
"mode": "markers",
"name": "Ratio",
"type": "scatter",
"x": [
0.5,
1.5,
2.5,
3.5,
4.5,
5.5,
6.5,
7.5,
8.5,
9.5,
10.5,
11.5,
12.5,
13.5,
14.5,
15.5,
16.5,
17.5,
18.5,
19.5,
20.5,
21.5,
22.5,
23.5,
24.5,
25.5,
26.5,
27.5,
28.5,
29.5,
30.5,
31.5,
32.5,
33.5,
34.5,
35.5,
36.5,
37.5,
38.5,
39.5,
40.5,
41.5,
42.5,
43.5,
44.5,
45.5,
46.5,
47.5
],
"xaxis": "x2",
"y": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.939195990562439,
0.9627406001091003,
1.0014641284942627,
1.018943428993225,
1.021295428276062,
1.063551425933838,
1.051272988319397,
1.0907236337661743,
1.1044847965240479,
1.116829752922058,
1.1371067762374878,
1.1269124746322632,
1.1421725749969482,
1.137620449066162,
1.1557587385177612,
1.1310673952102661,
1.1630748510360718,
1.14235520362854,
1.1634423732757568,
1.142770767211914,
1.1427611112594604,
1.1588342189788818,
1.1374562978744507,
1.1237386465072632,
1.1052340269088745,
1.11953866481781,
1.0940967798233032,
1.0937319993972778,
1.0529500246047974,
1.0562347173690796,
1.0754189491271973,
0,
0
],
"yaxis": "y2"
}
],
"layout": {
"barmode": "overlay",
"height": 900,
"legend": {
"orientation": "h",
"x": 0,
"y": 1.06
},
"margin": {
"b": 40,
"l": 50,
"pad": 5,
"r": 15,
"t": 5
},
"shapes": [
{
"line": {
"color": "#f00",
"width": 2
},
"opacity": 0.4,
"type": "line",
"x0": 0,
"x1": 48,
"xref": "x",
"y0": 1,
"y1": 1,
"yref": "y2"
}
],
"width": 800,
"xaxis": {
"anchor": "y",
"automargin": true,
"autorange": true,
"domain": [
0,
1
],
"gridcolor": "#ccc",
"gridwidth": 1,
"matches": "x2",
"range": [
-2.666666666666666,
50.666666666666664
],
"showgrid": true,
"showticklabels": false,
"title": {
"text": "Number of Hits"
},
"type": "linear"
},
"xaxis2": {
"anchor": "y2",
"autorange": true,
"domain": [
0,
1
],
"range": [
-2.666666666666666,
50.666666666666664
],
"type": "linear"
},
"yaxis": {
"anchor": "x",
"automargin": true,
"autorange": true,
"domain": [
0.525,
1
],
"gridcolor": "#ccc",
"gridwidth": 1,
"range": [
0,
13537.894736842105
],
"showgrid": true,
"title": {
"text": "Events"
},
"type": "linear"
},
"yaxis2": {
"anchor": "x2",
"automargin": true,
"domain": [
0,
0.475
],
"gridcolor": "#ccc",
"gridwidth": 1,
"range": [
0.7,
1.3
],
"showgrid": true,
"title": {
"text": "Ratio"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
"\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"