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authortlatorre <tlatorre@uchicago.edu>2018-11-11 13:22:18 -0600
committertlatorre <tlatorre@uchicago.edu>2018-11-11 13:22:18 -0600
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update likelihood function to fit electrons!
To characterize the angular distribution of photons from an electromagnetic shower I came up with the following functional form: f(cos_theta) ~ exp(-abs(cos_theta-mu)^alpha/beta) and fit this to data simulated using RAT-PAC at several different energies. I then fit the alpha and beta coefficients as a function of energy to the functional form: alpha = c0 + c1/log(c2*T0 + c3) beta = c0 + c1/log(c2*T0 + c3). where T0 is the initial energy of the electron in MeV and c0, c1, c2, and c3 are parameters which I fit. The longitudinal distribution of the photons generated from an electromagnetic shower is described by a gamma distribution: f(x) = x**(a-1)*exp(-x/b)/(Gamma(a)*b**a). This parameterization comes from the PDG "Passage of particles through matter" section 32.5. I also fit the data from my RAT-PAC simulation, but currently I am not using it, and instead using a simpler form to calculate the coefficients from the PDG (although I estimated the b parameter from the RAT-PAC data). I also sped up the calculation of the solid angle by making a lookup table since it was taking a significant fraction of the time to compute the likelihood function.
Diffstat (limited to 'src/misc.h')
-rw-r--r--src/misc.h1
1 files changed, 1 insertions, 0 deletions
diff --git a/src/misc.h b/src/misc.h
index 3a55c2f..94ccee7 100644
--- a/src/misc.h
+++ b/src/misc.h
@@ -26,5 +26,6 @@ double norm(double x, double mu, double sigma);
double norm_cdf(double x, double mu, double sigma);
double mean(const double *x, size_t n);
double std(const double *x, size_t n);
+double gamma_pdf(double x, double k, double theta);
#endif