1 | <analysis id="cms_exo_19_010">
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2 | <lumi>140.4</lumi> <!-- in fb^-1 -->
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3 |
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4 | <region type="signal" id="SR1_2017">
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5 | <nobs>17</nobs>
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6 | <nb>12.2</nb>
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7 | <deltanb>4.8</deltanb>
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8 | <covariance region="SR1_2017" cov_subset="SR1" > 1.0 </covariance>
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9 | <covariance region="SR1_2018A" cov_subset="SR1"> 0.0 </covariance>
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10 | <covariance region="SR1_2018B" cov_subset="SR1" > 0.0 </covariance>
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11 | </region>
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12 |
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13 | <region type="signal" id="SR1_2018A">
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14 | <nobs>5</nobs>
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15 | <nb>7.3</nb>
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16 | <deltanb>3.5</deltanb>
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17 | <covariance region="SR1_2017" cov_subset="SR1"> 0.0 </covariance>
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18 | <covariance region="SR1_2018A" cov_subset="SR1"> 1.0 </covariance>
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19 | <covariance region="SR1_2018B" cov_subset="SR1"> 0.0 </covariance>
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20 | </region>
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21 |
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22 | <region type="signal" id="SR1_2018B">
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23 | <nobs>11</nobs>
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24 | <nb>10.3</nb>
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25 | <deltanb>5.4</deltanb>
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26 | <covariance region="SR1_2017" cov_subset="SR1"> 0.0 </covariance>
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27 | <covariance region="SR1_2018A" cov_subset="SR1"> 0.0 </covariance>
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28 | <covariance region="SR1_2018B" cov_subset="SR1" > 1.0 </covariance>
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29 | </region>
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30 |
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31 |
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32 | <region type="signal" id="SR2_2017">
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33 | <nobs>4</nobs>
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34 | <nb>2.1</nb>
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35 | <deltanb>0.7</deltanb>
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36 | <covariance region="SR2_2017" cov_subset="SR2" > 1.0 </covariance>
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37 | <covariance region="SR2_2018A" cov_subset="SR2" > 0.0 </covariance>
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38 | <covariance region="SR2_2018B" cov_subset="SR2" > 0.0 </covariance>
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39 | </region>
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40 |
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41 | <region type="signal" id="SR2_2018A">
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42 | <nobs>0</nobs>
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43 | <nb>0.6</nb>
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44 | <deltanb>0.3</deltanb>
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45 | <covariance region="SR2_2017" cov_subset="SR2" > 0.0 </covariance>
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46 | <covariance region="SR2_2018A" cov_subset="SR2" > 1.0 </covariance>
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47 | <covariance region="SR2_2018B" cov_subset="SR2" > 0.0 </covariance>
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48 | </region>
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49 |
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50 | <region type="signal" id="SR2_2018B">
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51 | <nobs>2</nobs>
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52 | <nb>1.0</nb>
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53 | <deltanb>0.3</deltanb>
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54 | <covariance region="SR2_2017" cov_subset="SR2" > 0.0 </covariance>
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55 | <covariance region="SR2_2018A" cov_subset="SR2" > 0.0 </covariance>
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56 | <covariance region="SR2_2018B" cov_subset="SR2" > 1.0 </covariance>
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57 | </region>
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58 |
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59 |
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60 | <region type="signal" id="SR3_2015">
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61 | <nobs>1</nobs>
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62 | <nb>0.1</nb>
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63 | <deltanb>0.1</deltanb>
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64 | <covariance region="SR3_2015" cov_subset="SR3"> 1.0 </covariance>
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65 | <covariance region="SR3_2016A" cov_subset="SR3" > 0.0 </covariance>
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66 | <covariance region="SR3_2016B" cov_subset="SR3" > 0.0 </covariance>
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67 | <covariance region="SR3_2017" cov_subset="SR3"> 0.0 </covariance>
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68 | <covariance region="SR3_2018A" cov_subset="SR3"> 0.0 </covariance>
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69 | <covariance region="SR3_2018B" cov_subset="SR3"> 0.0 </covariance>
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70 | </region>
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71 |
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72 | <region type="signal" id="SR3_2016A">
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73 | <nobs>2</nobs>
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74 | <nb>2.4</nb>
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75 | <deltanb>0.6</deltanb>
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76 | <covariance region="SR3_2015" cov_subset="SR3"> 0.0 </covariance>
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77 | <covariance region="SR3_2016A" cov_subset="SR3"> 1.0 </covariance>
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78 | <covariance region="SR3_2016B" cov_subset="SR3"> 0.0 </covariance>
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79 | <covariance region="SR3_2017" cov_subset="SR3"> 0.0 </covariance>
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80 | <covariance region="SR3_2018A" cov_subset="SR3"> 0.0 </covariance>
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81 | <covariance region="SR3_2018B" cov_subset="SR3"> 0.0 </covariance>
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82 | </region>
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83 |
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84 | <region type="signal" id="SR3_2016B">
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85 | <nobs>4</nobs>
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86 | <nb>4.0</nb>
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87 | <deltanb>1.1</deltanb>
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88 | <covariance region="SR3_2015" cov_subset="SR3"> 0.0 </covariance>
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89 | <covariance region="SR3_2016A" cov_subset="SR3"> 0.0 </covariance>
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90 | <covariance region="SR3_2016B" cov_subset="SR3"> 1.0 </covariance>
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91 | <covariance region="SR3_2017" cov_subset="SR3"> 0.0 </covariance>
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92 | <covariance region="SR3_2018A" cov_subset="SR3"> 0.0 </covariance>
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93 | <covariance region="SR3_2018B" cov_subset="SR3"> 0.0 </covariance>
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94 | </region>
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95 |
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96 |
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97 | <region type="signal" id="SR3_2017">
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98 | <nobs>6</nobs>
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99 | <nb>6.7</nb>
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100 | <deltanb>1.3</deltanb>
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101 | <covariance region="SR3_2015" cov_subset="SR3"> 0.0 </covariance>
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102 | <covariance region="SR3_2016A" cov_subset="SR3"> 0.0 </covariance>
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103 | <covariance region="SR3_2016B" cov_subset="SR3"> 0.0 </covariance>
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104 | <covariance region="SR3_2017" cov_subset="SR3"> 1.0 </covariance>
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105 | <covariance region="SR3_2018A" cov_subset="SR3"> 0.0 </covariance>
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106 | <covariance region="SR3_2018B" cov_subset="SR3"> 0.0 </covariance>
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107 | </region>
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108 |
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109 | <region type="signal" id="SR3_2018A">
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110 | <nobs>2</nobs>
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111 | <nb>1.8</nb>
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112 | <deltanb>0.6</deltanb>
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113 | <covariance region="SR3_2015" cov_subset="SR3"> 0.0 </covariance>
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114 | <covariance region="SR3_2016A" cov_subset="SR3"> 0.0 </covariance>
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115 | <covariance region="SR3_2016B" cov_subset="SR3"> 0.0 </covariance>
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116 | <covariance region="SR3_2017" cov_subset="SR3"> 0.0 </covariance>
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117 | <covariance region="SR3_2018A" cov_subset="SR3"> 1.0 </covariance>
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118 | <covariance region="SR3_2018B" cov_subset="SR3"> 0.0 </covariance>
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119 | </region>
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120 |
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121 | <region type="signal" id="SR3_2018B">
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122 | <nobs>1</nobs>
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123 | <nb>5.7</nb>
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124 | <deltanb>1.3</deltanb>
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125 | <covariance region="SR3_2015" cov_subset="SR3"> 0.0 </covariance>
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126 | <covariance region="SR3_2016A" cov_subset="SR3"> 0.0 </covariance>
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127 | <covariance region="SR3_2016B" cov_subset="SR3"> 0.0 </covariance>
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128 | <covariance region="SR3_2017" cov_subset="SR3"> 0.0 </covariance>
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129 | <covariance region="SR3_2018A" cov_subset="SR3"> 0.0 </covariance>
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130 | <covariance region="SR3_2018B" cov_subset="SR3"> 1.0 </covariance>
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131 | </region>
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132 |
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133 | </analysis>
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