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ComputeClusterTime.cc
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2 
3 // functions to select the hits to compute the time of a given cluster
4 // start with the only hits with timing information
5 // average among the hits contained in the chosen time interval
6 
7 // N.B. time is corrected wrt vtx-calorimeter distance
8 // with straight line and light speed hypothesis
9 // for charged tracks or heavy particles (longer track length or beta < 1)
10 // need to correct the offset at analysis level
11 
12 using namespace hgcalsimclustertime;
13 
14 std::vector<size_t> decrease_sorted_indices(const std::vector<float>& v) {
15  // initialize original index locations
16  std::vector<size_t> idx(v.size());
17  std::iota(idx.begin(), idx.end(), 0);
18 
19  // sort indices based on comparing values in v (decreasing order)
20  std::sort(idx.begin(), idx.end(), [&v](size_t i1, size_t i2) { return v[i1] < v[i2]; });
21  return idx;
22 };
23 
24 ComputeClusterTime::ComputeClusterTime(float Xmin, float Xmax, float Cterm, float Aterm)
25  : xMin_(Xmin), xMax_(Xmax), cTerm_(Cterm), aTerm_(Aterm) {
26  if (xMin_ <= 0)
27  xMin_ = 0.1;
28 };
29 
30 ComputeClusterTime::ComputeClusterTime() : xMin_(1.), xMax_(5.), cTerm_(0), aTerm_(0){};
31 
32 void ComputeClusterTime::setParameters(float Xmin, float Xmax, float Cterm, float Aterm) {
33  xMin_ = (Xmin > 0) ? Xmin : 0.1;
34  xMax_ = Xmax;
35  cTerm_ = Cterm;
36  aTerm_ = Aterm;
37  return;
38 }
39 
40 //time resolution parametrization
42  float funcVal = pow(aTerm_ / x, 2) + pow(cTerm_, 2);
43  return sqrt(funcVal);
44 }
45 
47  if (type == "recHit") {
48  //xVal is S/N
49  //time is in ns units
50  if (xVal < xMin_)
51  return timeResolution(xMin_);
52  else if (xVal > xMax_)
53  return cTerm_;
54  else
55  return timeResolution(xVal);
56 
57  return -1;
58  }
59  return -1;
60 }
61 
62 //time-interval based on that ~210ps wide and with the highest number of hits
63 //extension valid in high PU of taking smallest interval with (order of)68% of hits
65  std::vector<float>& time, std::vector<float> weight, unsigned int minNhits, float deltaT, float timeWidthBy) {
66  if (time.size() < minNhits)
67  return std::pair<float, float>(-99., -1.);
68 
69  if (weight.empty())
70  weight.resize(time.size(), 1.);
71 
72  std::vector<float> t(time.size(), 0.);
73  std::vector<float> w(time.size(), 0.);
74  std::vector<size_t> sortedIndex = decrease_sorted_indices(time);
75  for (std::size_t i = 0; i < sortedIndex.size(); ++i) {
76  t[i] = time[sortedIndex[i]];
77  w[i] = weight[sortedIndex[i]];
78  }
79 
80  int max_elements = 0;
81  int start_el = 0;
82  int end_el = 0;
83  float timeW = 0.f;
84  float tolerance = 0.05f;
85 
86  for (auto start = t.begin(); start != t.end(); ++start) {
87  const auto startRef = *start;
88  int c = count_if(start, t.end(), [&](float el) { return el - startRef <= deltaT + tolerance; });
89  if (c > max_elements) {
90  max_elements = c;
91  auto last_el = find_if_not(start, t.end(), [&](float el) { return el - startRef <= deltaT + tolerance; });
92  auto valTostartDiff = *(--last_el) - startRef;
93  if (std::abs(deltaT - valTostartDiff) < tolerance) {
94  tolerance = std::abs(deltaT - valTostartDiff);
95  }
96  start_el = distance(t.begin(), start);
97  end_el = distance(t.begin(), last_el);
98  timeW = valTostartDiff;
99  }
100  }
101 
102  // further adjust time width around the chosen one based on the hits density
103  // proved to improve the resolution: get as many hits as possible provided they are close in time
104  float HalfTimeDiff = timeW * timeWidthBy;
105  float sum = 0.;
106  float num = 0;
107  int totSize = t.size();
108 
109  for (int ij = 0; ij <= start_el; ++ij) {
110  if (t[ij] > (t[start_el] - HalfTimeDiff)) {
111  for (int kl = ij; kl < totSize; ++kl) {
112  if (t[kl] < (t[end_el] + HalfTimeDiff)) {
113  sum += t[kl] * w[kl];
114  num += w[kl];
115  } else
116  break;
117  }
118  break;
119  }
120  }
121 
122  if (num == 0) {
123  return std::pair<float, float>(-99., -1.);
124  }
125  return std::pair<float, float>(sum / num, 1. / sqrt(num));
126 }
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