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µSR

Chapters:

  1. Introduction
  2. The muon
  3. Muon production
  4. Spin polarization
  5. Detect the µ spin
  6. Implantation
  7. Paramagnetic species
  8. A special case: a muon with few nuclei
  9. Magnetic materials
  10. Relaxation functions
  11. Superconductors
  12. Mulab
  13. Musite
  14. More details

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MulabTwo

< Troubleshooting | Index | Synopsis of 1.05 on day one >


Better strategy for global fit

Free notes

GPS Spin rotation on for simultaneous fit of ZF on 2-1, 3-4 groups

Assume one has a good calibration set: high T with full asymmetry and no internal field, measured in low Transverse Field (e.g. 50G).

This data set can be fitted as decay four independent histograms:

N_k(t)=N_{0k} e^{-t/\tau_\mu} [1+A_k\cos(\omega_\mu t + \phi_k)] + B_k\quad\quad k=1,\cdots,4

yielding four replica of the two relevant histogram-dependent parameters, N_k, A_k

With these eight parameters one can do the following on any new data set of a subsequent ZF temperature scan:

1) determine the two following quantities for each group:

\alpha_{21}=\frac {N_{02}} {N_{01}} \qquad \qquad \beta_{21}=\frac {A_2}{A_1}

\alpha_{34}=\frac {N_{03}} {N_{04}} \qquad \qquad \beta_{34}=\frac {A_3}{A_4}

2) Fit the following data compositions:

N_2(t)+ \alpha_{21}\beta_{21}N_1(t) \qquad \mbox{to} \qquad N_2(1+\beta_{21})

But this amounts to simply checking the individual earlier fits.

Then, assuming \alpha_{21} and \beta_{21} constant with temperature one could use in the subsequent temperature scan

\frac{N_2(t)- \alpha_{21}N_1(t)}{2N_2 e^{-t/\tau_\mu}}=\frac{A_2+A_1} 2 G(t)

which is an average asymmetry. The important parameter however is \alpha_{21}, to eliminate constant terms from the nominator of the fraction in the above expression. The other parameter, \beta_{21}, simply produces a different average asymmetry. It is important to use the Fit values in the denominator, and not the values determined from Data.

Now in the double fit of Mulab-2.0 each pair has its own average asymmetry and the UD/FB ratio in the fit parameters takes that into account.


Background subtraction

For a new muasymmetry.m

  1. determine B_F^0,B_B^0 from the pre-prompt counts as in older muasymmetry.m
  2. determine total N_0 rate by fitting the sum N_F(t)-B_F^0 + \alpha(N_B(t)-B_B^0) to N_0 e^{-t/\tau_\mu}; the experimental quantity contains also a little residual contamination from the polarization that does not cancel exactly if the F and B counters have different muon asymmetries.
  3. determine A^0(t)=\frac{N_F(t)-B_F^0-\alpha(N_B(t)-B_B^0)}{N_0 e^{-t/\tau_\mu}}; this is an approximation to the true asymmetry A(t); moreover the background correction may not be exact.
  4. In a next iteration optimize the parameters N_{F0},\beta_F and B_F to minimize the square deviations from zero of the following combination of experimental data: N_F(t)-N_{F0}(1+\beta_F A^0(t))e^{-t/\tau_\mu}-B_F
  5. redo the same for the backward counter(s) N_{B0},\beta_B and B_B
  6. the refined values are \alpha=\frac {N_{F0}} {N_{B0}} and B_F, B_B with which one can compute a corrected asymmetry with the new parameters

A(t)=\frac{N_F(t)-B_F-\frac {N_{F0}} {N_{B0}}(N_B(t)-B_B)}{2 N_{FO}e^{-t/\tau_\mu} }

Unfortunately does not seem to converge...


< Troubleshooting | Index | Synopsis of 1.05 on day one >

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Page last modified on July 25, 2010, at 07:51 PM