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Diffstat (limited to 'quick_tol.py')
-rw-r--r-- | quick_tol.py | 78 |
1 files changed, 78 insertions, 0 deletions
diff --git a/quick_tol.py b/quick_tol.py new file mode 100644 index 0000000..176ba28 --- /dev/null +++ b/quick_tol.py @@ -0,0 +1,78 @@ + +import pylab +import scipy +from pylab import * +from scipy import * + + +#_ip.magic("cd ~/jlab/muon/scipy/") + + +d_tol_weekend = pylab.load('../data/bnewbold_solar_weekend2/SOLAR000') +d_tol_weekend += pylab.load('../data/bnewbold_solar_weekend2/SOLAR001') +d_tol_weekend += pylab.load('../data/bnewbold_solar_weekend2/SOLAR002') +d_tol_weekend += pylab.load('../data/bnewbold_solar_weekend2/SOLAR003') +d_tol_weekend += pylab.load('../data/bnewbold_solar_weekend2/SOLAR004') +d_tol_weekend += pylab.load('../data/bnewbold_solar_weekend2/SOLAR005') +d_tol_weekend += pylab.load('../data/bnewbold_solar_weekend2/SOLAR006') +d_tol_weekend += pylab.load('../data/bnewbold_solar_weekend2/SOLAR007') +d_tol_weekend += pylab.load('../data/bnewbold_solar_weekend2/SOLAR008') + + +fitfunc = lambda p,x: p[0]*e^(-x/p[1]) +errfunc = lambda p,x,y: fitfunc(p,x) - y + +p0 = c_[1.0, 20.] +y = frange(1,1024) +fitfunc = lambda p,x: p[0]*e**(-x/p[1]) +errfunc = lambda p,x,y: fitfunc(p,x) - y +p1,success = optimize.leastsq(errfunc, p0.copy(), args=(d_tol_weekend, y)) +p0 = c_[1.0, 20.] +p0 = c_[50.0, 100.] +p1,success = optimize.leastsq(errfunc, p0.copy(), args=(d_tol_weekend, y)) +p0 = c_[50.0, 100.] +success +p1 +errfunc = lambda p,x,y: fitfunc(p,x) - y +p1,success = optimize.leastsq(errfunc, p0.copy(), args=(y, d_tol_weekend)) +plot(fitfunc(p1, frange(1,1024)), 'r') +plot(d_tol_weekend, '.') +legend(('Exponential Fit', 'Weekend #2 TOL data')) +txt = text(380, 35, 'x0 = 32.555...\n T=171.1719...',) +txt.set_bbox({"facecolor":"white","linewidth":1.0,"pad":16.0}) + +title("Rough Fit of Weekend TOL Data") +xlabel("Time (in bins...)") +ylabel("Number of muon decays") + + +fitfunc = lambda p,x: p[0]*e**(-x/p[1])+p[2] +p0 = c_[50.0, 100.,10.] +p1,success = optimize.leastsq(errfunc, p0.copy(), args=(y, d_tol_weekend)) +figure() +plot(d_tol_weekend, '.') +plot(fitfunc(p1, frange(1,1024)), 'r') +title("Rough Fit of Weekend TOL Data, with +C") +xlabel("Time (in bins...)") +ylabel("Number of muon decays") +t = text(380, 35, 'x0 = %e\n T=%e\nC=%e' % (p1[0],p1[1],p1[2])) +t.set_bbox({"facecolor":"white","linewidth":1.0,"pad":16.0}) +success + + +legend(('Weekend #2 TOL data', 'Exponential Fit')) + + +fitfunc = lambda p,x: p[0]*e**(-x/p[1])+p[2] +p0 = c_[50.0, 100.,10.] +p1,success = optimize.leastsq(errfunc, p0.copy(), args=(y[13:1024], d_tol_weekend[13:1024])) +figure() +plot(d_tol_weekend, '.') +plot(fitfunc(p1, frange(1,1024)), 'r') +title("Rough Fit of Weekend TOL Data, with +C, minus outliers") +xlabel("Time (in bins...)") +ylabel("Number of muon decays") +t = text(380, 35, 'x0 = %e\n T=%e\nC=%e' % (p1[0],p1[1],p1[2])) +t.set_bbox({"facecolor":"white","linewidth":1.0,"pad":16.0}) +legend(('Weekend #2 TOL data', 'Exponential Fit')) +success |