Created
October 28, 2020 20:54
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| import pyhf | |
| pyhf.set_backend('pytorch', 'minuit') | |
| nSig = 4.166929245 | |
| errSig = 4.166929245 | |
| nBkg = 0.11 | |
| errBkgUp = 0.20 | |
| errBkgDown = 0.11 | |
| model_json = { | |
| "channels": [ | |
| { "name": "SR_combined", | |
| "samples": [ | |
| { "name": "signal", | |
| "data": [nSig], | |
| "modifiers": [ { "name": "mu", "type": "normfactor", "data": None}, | |
| # {"name": "uncorr_siguncrt", "type": "shapesys", "data": [0.1]} | |
| ] | |
| }, | |
| { "name": "background", | |
| "data": [nBkg], | |
| "modifiers": [ {"name": "uncorr_bkguncrt", "type": "normsys", "data": {"hi": errBkgUp, "lo": errBkgDown}} ] | |
| } | |
| ] | |
| } | |
| ], | |
| "observations": [ | |
| { "name": "SR_combined", "data": [0.0] } | |
| ], | |
| "measurements": [ | |
| { "name": "Measurement", "config": {"poi": "mu", "parameters": []} } | |
| ], | |
| "version": "1.0.0" | |
| } | |
| ws = pyhf.Workspace(model_json) | |
| model = ws.model() | |
| data = ws.data(model) | |
| pyhf.infer.mle.fit(data, model) # ok | |
| pyhf.infer.hypotest(1.0, data, model, qtilde=True) # ok | |
| pyhf.infer.hypotest(1.0, data, model, qtilde=True, calctype='toybased', ntoys=100) |
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