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LinearFit.cc
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2 
3 void LinearFit::fit(const std::vector<float>& x,
4  const std::vector<float>& y,
5  int ndat,
6  const std::vector<float>& sigy,
7  float& slope,
8  float& intercept,
9  float& covss,
10  float& covii,
11  float& covsi) const {
12  float g1 = 0, g2 = 0;
13  float s11 = 0, s12 = 0, s22 = 0;
14  for (int i = 0; i != ndat; i++) {
15  float sy2 = sigy[i] * sigy[i];
16  g1 += y[i] / sy2;
17  g2 += x[i] * y[i] / sy2;
18  s11 += 1. / sy2;
19  s12 += x[i] / sy2;
20  s22 += x[i] * x[i] / sy2;
21  }
22 
23  float d = s11 * s22 - s12 * s12;
24  intercept = (g1 * s22 - g2 * s12) / d;
25  slope = (g2 * s11 - g1 * s12) / d;
26 
27  covii = s22 / d;
28  covss = s11 / d;
29  covsi = -s12 / d;
30 }
void fit(const std::vector< float > &x, const std::vector< float > &y, int ndat, const std::vector< float > &sigy, float &slope, float &intercept, float &covss, float &covii, float &covsi) const
Definition: LinearFit.cc:3
static const double slope[3]
tuple d
Definition: ztail.py:151
uint16_t const *__restrict__ x
Definition: gpuClustering.h:39