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EtaDependentPileup.cc
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1 #include <fstream>
2 
4 
5 namespace fftjetcms {
7  const fftjet::LinearInterpolator2d& interp,
8  const double inputRhoFactor, const double outputRhoFactor)
9  : interp_(interp),
10  inputRhoFactor_(inputRhoFactor),
11  outputRhoFactor_(outputRhoFactor),
12  etaMin_(interp.xMin()),
13  etaMax_(interp.xMax()),
14  rhoMin_(interp.yMin()),
15  rhoMax_(interp.yMax()),
16  rhoStep_((rhoMax_ - rhoMin_)/interp.ny())
17  {
18  const double etaStep = (etaMax_ - etaMin_)/interp.nx();
19  etaMin_ += etaStep*0.5;
20  etaMax_ -= etaStep*0.5;
21  rhoMin_ += rhoStep_*0.5;
22  rhoMax_ -= rhoStep_*0.5;
23  assert(etaMin_ < etaMax_);
24  assert(rhoMin_ < rhoMax_);
25  }
26 
28  double eta, double /* phi */,
30  {
31  double value = 0.0;
32  const double rho = summary.pileupRho()*inputRhoFactor_;
33  if (eta < etaMin_)
34  eta = etaMin_;
35  if (eta > etaMax_)
36  eta = etaMax_;
37  if (rho >= rhoMin_ && rho <= rhoMax_)
38  value = interp_(eta, rho);
39  else
40  {
41  double x0, x1;
42  if (rho < rhoMin_)
43  {
44  x0 = rhoMin_;
45  x1 = rhoMin_ + rhoStep_*0.5;
46  }
47  else
48  {
49  x0 = rhoMax_;
50  x1 = rhoMax_ - rhoStep_*0.5;
51  }
52  const double z0 = interp_(eta, x0);
53  const double z1 = interp_(eta, x1);
54  value = z0 + (z1 - z0)*((rho - x0)/(x1 - x0));
55  }
56  return (value > 0.0 ? value : 0.0)*outputRhoFactor_;
57  }
58 }
Summary info for pile-up determined by Gaussian filtering.
fftjet::LinearInterpolator2d interp_
Definition: value.py:1
virtual double operator()(double eta, double phi, const reco::FFTJetPileupSummary &summary) const
EtaDependentPileup(const fftjet::LinearInterpolator2d &i, double inputRhoFactor, double outputRhoFactor)