232 KiB
232 KiB
Scripts for Calibration of Cernox Sensors¶
Make a copy of this notebook for an other run
In [1]:
import numpy as np import matplotlib.pyplot as plt import math from scipy.interpolate import splrep, splev from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp
In [2]:
run = CalibRun([ Sensor(3, 'X75610'), # the reference sensor must be the first Sensor(5, 'X133273', 'CX-1030-CU-HT-0.3L'), Sensor(4, 'X55918', 'CX-1050-SD-HT-1.4L'), Sensor(1, 'X134003', 'CX-1050-SD'), Sensor(2, 'X134014', 'CX-1050-SD'), Sensor(6, 'X133980', 'CX-1050-SD'), ], t_points = (1.0, 1.2) + logrange(1.4, 310, n=195) + (330,), caldate = '2018-11-15', logT = False, logR = True, calib_data_file = 'calib_data/calib%s_p%d_c%d.dat', outputpath='%s/%s.340') # smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points) run.make(diflim=0.001, smoothref=1e-7, smoothtst=1e-7) print('calibration file has %d points' % len(run.t_points))
('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')
('zdat', 'READ calib_data/calib2018-11-15_p0_c5.dat')
('zdat', 'READ calib_data/calib2018-11-15_p1_c5.dat')
('zdat', 'READ calib_data/calib2018-11-15_p2_c5.dat')
{'selected': 0, 'averaged': 60}
('zdat', 'READ calib_data/calib2018-11-15_p0_c4.dat')
('zdat', 'READ calib_data/calib2018-11-15_p1_c4.dat')
('zdat', 'READ calib_data/calib2018-11-15_p2_c4.dat')
{'selected': 1, 'averaged': 59}
('zdat', 'READ calib_data/calib2018-11-15_p0_c1.dat')
('zdat', 'READ calib_data/calib2018-11-15_p1_c1.dat')
('zdat', 'READ calib_data/calib2018-11-15_p2_c1.dat')
{'selected': 1, 'averaged': 59}
('zdat', 'READ calib_data/calib2018-11-15_p0_c2.dat')
('zdat', 'READ calib_data/calib2018-11-15_p1_c2.dat')
('zdat', 'READ calib_data/calib2018-11-15_p2_c2.dat')
{'selected': 0, 'averaged': 60}
('zdat', 'READ calib_data/calib2018-11-15_p0_c6.dat')
('zdat', 'READ calib_data/calib2018-11-15_p1_c6.dat')
('zdat', 'READ calib_data/calib2018-11-15_p2_c6.dat')
{'selected': 0, 'averaged': 60}
calibration file has 199 points
In [3]:
# compare known sensors plt.figure(figsize=(10, 6)) tmin,tmax,dmax=1.4,310,0.001 testlist = (('X133273', 'lsdat'), ('X133273', 'ls340'), ('X55918', 'lsdat'), ('X55918', 'ls340')) for sensno, kind in testlist: r0, t0 = read_curve(sensno, 'z340') r1, t1 = read_curve(sensno, kind) diff = compare_calib(r1, t1, r0, t0) plt.plot(t0, diff, '-') plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-') plt.legend([sensno + "." + kind[2:] for sensno, kind in testlist] + ["window"]) plt.xscale('log') plt.yscale('symlog',linthreshy=dmax) plt.grid(True, axis='y') plt.axis([1.0,350,-1,1]) plt.show()
('z340', 'READ 2018-11-15/X133273.340')
('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2018/X133273_for_He3/X133273.dat')
('z340', 'READ 2018-11-15/X133273.340')
('ls340', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2018/X133273_for_He3/X133273.340')
('z340', 'READ 2018-11-15/X55918.340')
('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2009/51750 Cernox HiT/X55918.dat')
('z340', 'READ 2018-11-15/X55918.340')
('ls340', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2009/51750 Cernox HiT/X55918.340')
In [4]:
# compare calibration files from points 0,1,2 # with the optimized (average or selection of best) for sensor in run.sensors: r0, t0 = read_curve(sensor.outputpath, sensor.outputkind) plt.figure() dif = [0,0,0] for j in range(3): rr, rt = read_curve(sensor.caldat_file[j], 'zdat') rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points) dif[j] = compare_calib(r0, t0, rc, tc) plt.plot(t0, dif[j], '-') plt.xscale('log') plt.yscale('symlog', linthreshy=0.001) plt.grid(True, axis='y') plt.axis([min(t0),max(t0),-1,1]) #plt.legend(['dif1','dif2','dif3','est']) plt.show()
('z340', 'READ 2018-11-15/X133273.340')
('zdat', 'READ calib_data/calib2018-11-15_p0_c5.dat')
('zdat', 'READ calib_data/calib2018-11-15_p1_c5.dat')
('zdat', 'READ calib_data/calib2018-11-15_p2_c5.dat')
('z340', 'READ 2018-11-15/X55918.340')
('zdat', 'READ calib_data/calib2018-11-15_p0_c4.dat')
('zdat', 'READ calib_data/calib2018-11-15_p1_c4.dat')
('zdat', 'READ calib_data/calib2018-11-15_p2_c4.dat')
('z340', 'READ 2018-11-15/X134003.340')
('zdat', 'READ calib_data/calib2018-11-15_p0_c1.dat')
('zdat', 'READ calib_data/calib2018-11-15_p1_c1.dat')
('zdat', 'READ calib_data/calib2018-11-15_p2_c1.dat')
('z340', 'READ 2018-11-15/X134014.340')
('zdat', 'READ calib_data/calib2018-11-15_p0_c2.dat')
('zdat', 'READ calib_data/calib2018-11-15_p1_c2.dat')
('zdat', 'READ calib_data/calib2018-11-15_p2_c2.dat')
('z340', 'READ 2018-11-15/X133980.340')
('zdat', 'READ calib_data/calib2018-11-15_p0_c6.dat')
('zdat', 'READ calib_data/calib2018-11-15_p1_c6.dat')
('zdat', 'READ calib_data/calib2018-11-15_p2_c6.dat')
In [5]:
# compare with less points sensors = ('X133273', 'X55918') steps = (1,2,3,4,6) tmin,tmax,dmax=1.4,310,0.001 kind = 'lsdat' for sensno in sensors: sensor = run.sensdict[sensno] r1, t1 = read_curve(sensno, kind) plt.figure(figsize=(10, 6)) for step in steps: meas0 = sensor.meas.reduced(step) rc, tc = sensor.make_calib(run, meas0) diff = compare_calib(r1, t1, rc, tc) plt.plot(tc, diff, '-') plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-') plt.legend([str(step) for step in steps] + ["window"]) plt.xscale('log') plt.yscale('symlog',linthreshy=dmax) plt.grid(True, axis='y') plt.axis([1.0,350,-1,1]) plt.show()
('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2018/X133273_for_He3/X133273.dat')
{'selected': 0, 'averaged': 60}
{'selected': 0, 'averaged': 30}
{'selected': 0, 'averaged': 20}
{'selected': 0, 'averaged': 15}
{'selected': 0, 'averaged': 10}
('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2009/51750 Cernox HiT/X55918.dat')
{'selected': 1, 'averaged': 59}
{'selected': 0, 'averaged': 30}
{'selected': 0, 'averaged': 20}
{'selected': 0, 'averaged': 15}
{'selected': 0, 'averaged': 10}
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