Here I compute limits for i2HDM signal with Theta package.
The following table shows the details of MC samples for i2HDM signal, as the number of generated events and the cross section with correspondent λ345. We consider the cases of h1h1 DM production for 8 and 13 TeV.
Benchmark | Mh1 | Number of generated events (from LHE) | Cross Section (λ345) (pb) |
---|---|---|---|
(h1h1) DM production (8 TeV) | |||
BM1 | 45 | 50000 | 0.17 (-0.010) |
BM2 | 53 | 50000 | 0.77 (-0.024) |
BM3 | 66 | 50000 | 0.000043 (+0.022) |
BM4 | 82 | 50000 | 0.00012 (-0.090) |
BM5 | 120 | 50000 | 0.000023 (-0.100) |
(h1h1) NEW DM production (8 TeV) | |||
40 | 100000 | 0.073899 (0.01) | |
41 | 100000 | 0.072681 (0.01) | |
42 | 100000 | 0.071266 (0.01) | |
43 | 100000 | 0.070021 (0.01) | |
44 | 100000 | 0.068574 (0.01) | |
45 | 100000 | 0.067103 (0.01) | |
46 | 100000 | 0.065719 (0.01) | |
47 | 100000 | 0.064175 (0.01) | |
48 | 100000 | 0.062273 (0.01) | |
49 | 100000 | 0.06049 (0.01) | |
50 | 100000 | 0.058593 (0.01) | |
51 | 100000 | 0.056552 (0.01) | |
52 | 100000 | 0.054462 (0.01) | |
53 | 100000 | 0.052094 (0.01) | |
54 | 100000 | 0.049695 (0.01) | |
55 | 100000 | 0.04703 (0.01) | |
56 | 100000 | 0.04403 (0.01) | |
57 | 100000 | 0.040899 (0.01) | |
58 | 100000 | 0.037309 (0.01) | |
59 | 100000 | 0.033193 (0.01) | |
60 | 100000 | 0.028262 (0.01) | |
61 | 100000 | 0.022176 (0.01) | |
62 | 100000 | 0.012981 (0.01) | |
(h1h1) NEW DM production (13 TeV) | |||
40 | 100000 | 0.24281 (0.01) | |
41 | 100000 | 0.23912 (0.01) | |
42 | 100000 | 0.23478 (0.01) | |
43 | 100000 | 0.23028 (0.01) | |
44 | 100000 | 0.22542 (0.01) | |
45 | 100000 | 0.22092 (0.01) | |
46 | 100000 | 0.21604 (0.01) | |
47 | 100000 | 0.21040 (0.01) | |
48 | 100000 | 0.20503 (0.01) | |
49 | 100000 | 0.19892 (0.01) | |
50 | 100000 | 0.19255 (0.01) | |
51 | 100000 | 0.18638 (0.01) | |
52 | 100000 | 0.17927 (0.01) | |
53 | 100000 | 0.17154 (0.01) | |
54 | 100000 | 0.16370 (0.01) | |
55 | 100000 | 0.15431 (0.01) | |
56 | 100000 | 0.14503 (0.01) | |
57 | 100000 | 0.13431 (0.01) | |
58 | 100000 | 0.12249 (0.01) | |
59 | 100000 | 0.10901 (0.01) | |
60 | 100000 | 0.093206 (0.01) | |
61 | 100000 | 0.072845 (0.01) | |
62 | 100000 | 0.042620 (0.01) |
The figure below shows MET distributions (8 TeV) from CMS-EXO-12-048.
The figure below shows data and background MET distributions (8 TeV) "stolen" from CMS-EXO-12-048 compared with h1h1 from i2HDM DM signal. The DM signal comes directly from LHE level. Here we consider the following cuts on that CMS paper:
Here we use Theta package to compute the limits.
The figure below shows the observed and expected limits (8 TeV) for signal in generator level, as well as the correspondent signal cross sections (for different λ345). Here we have the peace of code used to get the limits:
model = build_model_from_rootfile(['EXO-12-048_data.root','background.root','i2hdm_BM4_h1h1j_8tev-single-THETA.root']) #print model model.set_signal_processes('i2HDMBenchmark*') model.scale_predictions(0.06698,procname="i2HDMBenchmark1",obsname="CMS_EXO_12_048") #model.scale_predictions(0.30338,procname="i2HDMBenchmark2",obsname="CMS_EXO_12_048") #model.scale_predictions(0.000017,procname="i2HDMBenchmark3",obsname="CMS_EXO_12_048") #model.scale_predictions(0.000047,procname="i2HDMBenchmark4",obsname="CMS_EXO_12_048") #model.scale_predictions(0.000009,procname="i2HDMBenchmark5",obsname="CMS_EXO_12_048") expected, observed = asymptotic_cls_limits(model) print expected, observed report.write_html('htmlout')
Since we have less data than background, the observed limits are below the expected ones. Despite the fact that data and background does not change, observed and expected limits change because signal samples have different efficiencies. The plots show limits in generator level (4-vector information from LHE files) for:
The plots bellow show limits for signal (using data and background from 8 TeV) after hadronization via Pythia+Delphes. These limits were computed using:
The plots bellow compare limits for signal (using data and background from 8 TeV) after hadronization via:
The plots bellow show the limits after relaxing the MET selection to MET > 250 GeV in case of Pythia+Delphes. We use signal with:
Data and background distributions were corrected (bin-by-bin) in order to have the same number of events as in table 3 of CMS-EXO-12-048. These is the data and background MET distribution after correction:
The limits bellow are based on hadronization via Pythia+Delphes using
The limits bellow take into account only 2 bins of the MET distribution in the following way
Bellow we have limits based on 1 bin in the MET distribution as done in fig. 4 of CMS paper CMS-EXO-12-048:
Clearly BM3, BM4 and BM5 are completely out of reach. I think that the next obvious steps would be to do the limits on BM1 and BM2 in a more precise way, using PYTHIA+DELPHES for better signal modelling.
I have changed the cuts that are to be applied to the analysis to take into account the showering / hadronization effects.
I have included information about new i2HDM production (8 and 13 TeV) in the table.
I | Attachment | History | Action | Size | Date | Who | Comment |
---|---|---|---|---|---|---|---|
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DataBackgMET.png | r1 | manage | 19.6 K | 2016-06-23 - 15:25 | UnknownUser | Data / Backg after correction |
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MET_distributions.png | r1 | manage | 19.2 K | 2016-03-18 - 13:28 | UnknownUser | MET distribution with h1h1 from i2HDM DM signal |
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MetLep3.jpg | r1 | manage | 96.7 K | 2016-03-18 - 13:24 | UnknownUser | MET distribution from CMS-EXO-12-048 |
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i2HDM_limits.png | r1 | manage | 19.9 K | 2016-03-18 - 13:47 | UnknownUser | Limits for i2HDM DM signal in 8 TeV |
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i2HDM_limits_Delphes_8TeV.png | r1 | manage | 16.3 K | 2016-05-19 - 14:55 | UnknownUser | Limits for Delphes 8 TeV |
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i2HDM_limits_Delphes_8TeV_1Bin.png | r1 | manage | 15.9 K | 2016-06-02 - 14:48 | UnknownUser | Limits for Pythia+Delphes 8 TeV (1 bin) |
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i2HDM_limits_Delphes_8TeV_MET250_300_jetPtScale.png | r1 | manage | 16.0 K | 2016-06-23 - 15:34 | UnknownUser | Limits for Pythia+Delphes 8 TeV (250 < MET < 300) |
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i2HDM_limits_Delphes_8TeV_MET250_DMmassScale.png | r1 | manage | 15.9 K | 2016-06-09 - 14:49 | UnknownUser | Limits for Pythia+Delphes 8 TeV (MET > 250) |
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i2HDM_limits_Delphes_8TeV_MET250_DMmassScale_SF.png | r1 | manage | 15.8 K | 2016-06-23 - 15:29 | UnknownUser | Limits for Pythia+Delphes 8 TeV (MET > 250) after histo correction |
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i2HDM_limits_Delphes_8TeV_MET250_jetPtScale.png | r1 | manage | 16.3 K | 2016-06-09 - 14:48 | UnknownUser | Limits for Pythia+Delphes 8 TeV (MET > 250) |
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i2HDM_limits_Delphes_8TeV_MET250_jetPtScale_SF.png | r1 | manage | 16.3 K | 2016-06-23 - 15:29 | UnknownUser | Limits for Pythia+Delphes 8 TeV (MET > 250) after histo correction |
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i2HDM_limits_Delphes_8TeV_MET500_550_jetPtScale.png | r1 | manage | 16.9 K | 2016-06-23 - 15:35 | UnknownUser | Limits for Pythia+Delphes 8 TeV (500 < MET < 550) |
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i2HDM_limits_Delphes_8TeV_MET950_1000_jetPtScale.png | r1 | manage | 19.7 K | 2016-06-23 - 15:36 | UnknownUser | Limits for Pythia+Delphes 8 TeV (950 < MET < 1000) |
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i2HDM_limits_Delphes_8TeV_noNorm.png | r1 | manage | 16.0 K | 2016-05-30 - 12:10 | UnknownUser | Limits for Pythia+Delphes 8 TeV |
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i2HDM_limits_Delphes_8TeV_oneBin_250_1000_jetPtScale.png | r1 | manage | 18.5 K | 2016-06-30 - 13:09 | UnknownUser | Limits for Pythia+Delphes 8 TeV (1 bin) MET[250 - 1000] |
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i2HDM_limits_Delphes_8TeV_oneBin_250_600_jetPtScale.png | r1 | manage | 17.1 K | 2016-06-30 - 13:10 | UnknownUser | Limits for Pythia+Delphes 8 TeV (1 bin) MET[250 - 600] |
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i2HDM_limits_Delphes_8TeV_shape.png | r1 | manage | 16.1 K | 2016-06-02 - 15:09 | UnknownUser | Limits for Pythia+Delphes 8 TeV (shape analysis) |
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i2HDM_limits_LHE_8TeV_shape.png | r1 | manage | 17.8 K | 2016-06-03 - 17:50 | UnknownUser | Limits for LHE 8 TeV |
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i2HDM_limits_Pythia_8TeV.png | r1 | manage | 16.0 K | 2016-05-18 - 20:07 | UnknownUser | Limits for Pythia 8 TeV |
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i2HDM_limits_Pythia_8TeV_shape.png | r1 | manage | 16.1 K | 2016-06-06 - 16:24 | UnknownUser | Limits for Pythia 8 TeV |
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