|
1 |
| -import ROOT |
2 |
| -import sys |
3 |
| - |
4 |
| -infile = sys.argv[1] |
5 |
| - |
6 |
| -infile = ROOT.TFile.Open(infile) |
7 |
| -workspace = infile.Get("combined") |
8 |
| -data = workspace.data("obsData") |
9 |
| - |
10 |
| -sbModel = workspace.obj("ModelConfig") |
11 |
| -poi = sbModel.GetParametersOfInterest().first() |
12 |
| -poi.setVal(1) |
13 |
| -sbModel.SetSnapshot(ROOT.RooArgSet(poi)) |
14 |
| - |
15 |
| -bModel = sbModel.Clone() |
16 |
| -bModel.SetName("bonly") |
17 |
| -poi.setVal(0) |
18 |
| -bModel.SetSnapshot(ROOT.RooArgSet(poi)) |
19 |
| - |
20 |
| -ac = ROOT.RooStats.AsymptoticCalculator(data, sbModel, bModel) |
21 |
| -ac.SetPrintLevel(10) |
22 |
| -ac.SetOneSidedDiscovery(True) |
23 |
| - |
24 |
| -result = ac.GetHypoTest() |
25 |
| -pnull_obs = result.NullPValue() |
26 |
| -palt_obs = result.AlternatePValue() |
27 |
| -pnull_exp = [] |
28 |
| -for sigma in [-2, -1, 0, 1, 2]: |
29 |
| - usecls = 0 |
30 |
| - pnull_exp.append(ac.GetExpectedPValues(pnull_obs, palt_obs, sigma, usecls)) |
31 |
| - |
32 |
| -import json |
33 |
| - |
34 |
| -print(json.dumps({'p0_obs': pnull_obs, 'p0_exp': pnull_exp}, sort_keys=True, indent=4)) |
| 1 | +if __name__ == "__main__": |
| 2 | + import ROOT |
| 3 | + import sys |
| 4 | + import json |
| 5 | + |
| 6 | + infile = sys.argv[1] |
| 7 | + |
| 8 | + infile = ROOT.TFile.Open(infile) |
| 9 | + workspace = infile.Get("combined") |
| 10 | + data = workspace.data("obsData") |
| 11 | + |
| 12 | + sbModel = workspace.obj("ModelConfig") |
| 13 | + poi = sbModel.GetParametersOfInterest().first() |
| 14 | + poi.setVal(1) |
| 15 | + sbModel.SetSnapshot(ROOT.RooArgSet(poi)) |
| 16 | + |
| 17 | + bModel = sbModel.Clone() |
| 18 | + bModel.SetName("bonly") |
| 19 | + poi.setVal(0) |
| 20 | + bModel.SetSnapshot(ROOT.RooArgSet(poi)) |
| 21 | + |
| 22 | + ac = ROOT.RooStats.AsymptoticCalculator(data, sbModel, bModel) |
| 23 | + ac.SetPrintLevel(10) |
| 24 | + ac.SetOneSidedDiscovery(True) |
| 25 | + |
| 26 | + result = ac.GetHypoTest() |
| 27 | + pnull_obs = result.NullPValue() |
| 28 | + palt_obs = result.AlternatePValue() |
| 29 | + pnull_exp = [] |
| 30 | + for sigma in [-2, -1, 0, 1, 2]: |
| 31 | + usecls = 0 |
| 32 | + pnull_exp.append(ac.GetExpectedPValues(pnull_obs, palt_obs, sigma, usecls)) |
| 33 | + |
| 34 | + print( |
| 35 | + json.dumps({'p0_obs': pnull_obs, 'p0_exp': pnull_exp}, sort_keys=True, indent=4) |
| 36 | + ) |
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