wiso

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wiso

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wiso

Many shape analyses have the problem of parametrizing the background. Many approach have been used in the past and new ideas should be investigated, trying to define common recipe(s) taking into account that different analyses can have different needs.

 It would be good to extend the discussion to ATLAS, for example inside the statistical forum, but the concern is that such approach, as experimented in the past, may not converge. So the idea is to start the discussion with few people working in some similar analyses ($\gamma\gamma$, $jj$, $\gamma j$, diboson, ...), to list the various possibilities and to evaluate the pro and the cons.

These analyses share a similar background distribution of the invariant mass (smooth, decreasing) with a large number of events and the search for a resonant signal.

Some functional forms have theoretical motivation, but the detector effects are not negligible, so in general it is not mandatory to use functional form that comes from theoretical arguments.

The main topics of

wiso

Many shape analyses have the problem of parametrizing the background. Many approach have been used in the past and new ideas should be investigated, trying to define common recipe(s) taking into account that different analyses can have different needs.

 It would be good to extend the discussion to ATLAS, for example inside the statistical forum, but the concern is that such approach, as experimented in the past, may not converge. So the idea is to start the discussion with few people working in some similar analyses ($\gamma\gamma$, $jj$, $\gamma j$, diboson, ...), to list the various possibilities and to evaluate the pro and the cons.

These analyses share a similar background distribution of the invariant mass (smooth, decreasing) with a large number of events and the search for a resonant signal.

Some functional forms have theoretical motivation, but the detector effects are not negligible, so in general it is not mandatory to use functional form that comes from theoretical arguments.

The main topics of

wiso

import ROOT

if __name__ == "__main__":

    common_path = "/users2/mratti/MonoPhotonSL6/Run/looseSR/data-output/"

    samples = ({"filenames": common_path + "user.mgenest.slim.mc12_8TeV.126744.Sherpa_CT10_munugammaPt80.vCOMMON1.0.root",
                "treename": "physics",
                "color": ROOT.kOrange - 9,
                "fill": True,

wiso

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wiso

// compile with:
//  g++ -std=c++11 example_THPoly_Attilafix2.cxx -O0 -g `root-config --cflags` `root-config --libs`

// first download the file:
//  wget http://atlas.web.cern.ch/Atlas/GROUPS/DATABASE/GroupData/egammaMVACalib/v1/MVACalib_electron.weights.root

// run with valgrind
//  valgrind --tool=memcheck --suppressions=`root-config --etcdir`/valgrind-root.supp ./a.out

#include <cassert>

wiso

// compile with:
//  g++ example_THPoly.cxx -O0 -g `root-config --cflags` `root-config --libs`

// first download the file:
//  wget http://atlas.web.cern.ch/Atlas/GROUPS/DATABASE/GroupData/egammaMVACalib/v1/MVACalib_electron.weights.root

// run with valgrind
//  valgrind --tool=memcheck --suppressions=`root-config --etcdir`/valgrind-root.supp ./a.out

#include <cassert>

wiso

// compile with:
//  g++ example_THPoly_Attilafix.cxx -O0 -g `root-config --cflags` `root-config --libs`

// first download the file:
//  wget http://atlas.web.cern.ch/Atlas/GROUPS/DATABASE/GroupData/egammaMVACalib/v1/MVACalib_electron.weights.root

// run with valgrind
//  valgrind --tool=memcheck --suppressions=`root-config --etcdir`/valgrind-root.supp ./a.out

#include <cassert>

wiso

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