diff --git a/airshower_beacon_simulation/lib/figlib.py b/airshower_beacon_simulation/lib/figlib.py index 81a943a..fd6f443 100644 --- a/airshower_beacon_simulation/lib/figlib.py +++ b/airshower_beacon_simulation/lib/figlib.py @@ -245,6 +245,8 @@ def fitted_histogram_figure( chisq_strs = [] if calc_chisq and cdf: ct = np.diff(cdf(bins, *fit_params))*np.sum(counts) + if True: # stabilise the chisquare derivation + ct *= np.sum(counts)/np.sum(ct) c2t = stats.chisquare(counts, ct, ddof=len(fit_params)) chisq_strs = [ f"$\\chi^2$/dof = {c2t[0]: .2g}/{len(fit_params)}" diff --git a/simulations/11_pulsed_timing.py b/simulations/11_pulsed_timing.py index c55bfcf..eb7fb7f 100755 --- a/simulations/11_pulsed_timing.py +++ b/simulations/11_pulsed_timing.py @@ -111,7 +111,11 @@ def my_correlation(in1, template, lags=None): return corrs, (in1, template, lags) def trace_upsampler(trace, template_t, trace_t): - template_dt = template_t[1] - template_t[0] + if not hasattr(template_t, '__len__'): + template_dt = template_t + else: + template_dt = template_t[1] - template_t[0] + trace_dt = trace_t[1] - trace_t[0] upsample_factor = trace_dt/template_dt