updated the docu and adopted the ChangLog

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suter_a 2020-05-25 16:27:18 +02:00
parent d2caf435fb
commit b5fb5b8b4a
20 changed files with 87 additions and 72 deletions

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@ -12,6 +12,11 @@ or
https://bitbucket.org/muonspin/musrfit/commits/all
Release of V1.6.1, 2020/05/25
=============================
For asymmetry fits: allow alpha, beta in the RUN block to be functions.
Release of V1.6.0, 2020/05/16
=============================

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@ -1,4 +1,4 @@
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@ -775,7 +775,7 @@ The FUNCTIONS Block
+++++++++++++++++++
Here some auxiliary functions can be defined. These functions can currently *only* operate on the defined parameters. They can be used in the
:ref:`THEORY block <msr-theory-block>` and for one specific case in the :ref:`RUN block <msr-run-block>`. Supported is the use of basic arithmetic:
:ref:`THEORY block <msr-theory-block>` and for three specific cases in the :ref:`RUN block <msr-run-block>` (`norm`, `alpha`, and `beta`). Supported is the use of basic arithmetic:
:math:`+`
Addition
@ -1064,18 +1064,24 @@ In order to describe the operations needed for fitting and plotting, quite some
.. _msr-alpha-beta:
**alpha, beta** (fit type 2, 3, 5)
These parameters are used to correct the asymmetry for different detector efficiencies, solid angles and initial asymmetries. They are defined as :math:`\alpha = N_{0,b}/N_{0,f}` and :math:`\beta = A_{0,b}/A_{0,f}`. If the parameters are not specified in the :ref:`RUN block <msr-run-block>`, for each one the value of 1 is assumed (for fittype 5, alpha is estimated from the ratio of :math:`\sum_i \left( N_{\mathrm{bp}}(i)+N_{\mathrm{bm}}(i) \right)` and :math:`\sum_i \left( N_{\mathrm{fp}}(i)+N_{\mathrm{fm}}(i) \right)`). Example for alpha with fit parameter number 1:
These parameters are used to correct the asymmetry for different detector efficiencies, solid angles and initial asymmetries. They are defined as :math:`\alpha = N_{0,b}/N_{0,f}` and :math:`\beta = A_{0,b}/A_{0,f}`. If the parameters are not specified in the :ref:`RUN block <msr-run-block>`, for each one the value of 1 is assumed (for fittype 5, alpha is estimated from the ratio of :math:`\sum_i \left( N_{\mathrm{bp}}(i)+N_{\mathrm{bm}}(i) \right)` and :math:`\sum_i \left( N_{\mathrm{fp}}(i)+N_{\mathrm{fm}}(i) \right)`). Both, `alpha` as well as `beta` can be expressed through a function. Example for alpha with fit parameter number 1:
::
alpha 1
Example for an ``alpha`` defined via function number 1:
::
alpha fun1
.. index:: norm
.. _msr-norm:
**norm** (fit type 0)
Number of the fit parameter that represents the normalization constant :math:`N_0` of the histogram; the value of this parameter is given either per nanosecond or per bin (see :ref:`below <msr-commands-block>`).
It is possible to substitute the parameter number by a function here (and only here in a RUN block), for instance to relate :math:`N_0`\'s of different histograms through an :math:`\alpha`
It is possible to substitute the parameter number by a function, for instance to relate :math:`N_0`\'s of different histograms through an :math:`\alpha`
parameter. Example for a ``norm`` defined by fit parameter number 12:
::

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@ -1,6 +1,6 @@
var DOCUMENTATION_OPTIONS = {
URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
VERSION: '1.6.0',
VERSION: '1.6.1',
LANGUAGE: 'None',
COLLAPSE_INDEX: false,
FILE_SUFFIX: '.html',

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@ -4,7 +4,7 @@
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
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<title>Acknowledgements &#8212; musrfit 1.6.0 documentation</title>
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@ -30,7 +30,7 @@
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@ -100,12 +100,12 @@ extremely competent way to deal with his projects as well as to deal with the ch
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@ -4,7 +4,7 @@
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@ -90,12 +90,12 @@ For a detailed description see <a class="reference internal" href="user-manual.h
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@ -4,7 +4,7 @@
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@ -81,12 +81,12 @@ or send an e-mail to A. Suter at PSI.</p>
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@ -5,7 +5,7 @@
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@ -4,7 +4,7 @@
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@ -418,12 +418,12 @@ fit serves as template for the second and so on. The template field stays empty
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@ -298,12 +298,12 @@ SCRIPT COMMANDS:
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@ -4,7 +4,7 @@
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@ -910,12 +910,12 @@ the entry has been added. The last token, <code class="docutils literal notransl
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@ -4,7 +4,7 @@
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@ -531,12 +531,12 @@ the corresponding fit parameter value, except the phases where the step will be
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@ -4,7 +4,7 @@ i
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<title>Setting up musrfit on Different Platforms &#8212; musrfit 1.6.0 documentation</title>
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@ -30,7 +30,7 @@
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@ -1293,12 +1293,12 @@ $ musrview test-histo-ROOT-NPP.msr
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@ -4,7 +4,7 @@
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@ -431,12 +431,12 @@ For a complete description please refer to the manuals of <a class="reference in
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@ -647,12 +647,12 @@ K(m)&amp;=\int_0^{\pi/2}\frac{\mathrm d\varphi}{\sqrt{1-m^2\sin^2{\varphi}}},\en
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@ -897,7 +897,7 @@ instead of specifying the parameters directly.</p>
<div class="section" id="the-functions-block">
<span id="msr-functions-block"></span><span id="index-15"></span><h3>The FUNCTIONS Block<a class="headerlink" href="#the-functions-block" title="Permalink to this headline"></a></h3>
<p>Here some auxiliary functions can be defined. These functions can currently <em>only</em> operate on the defined parameters. They can be used in the
<a class="reference internal" href="#msr-theory-block"><span class="std std-ref">THEORY block</span></a> and for one specific case in the <a class="reference internal" href="#msr-run-block"><span class="std std-ref">RUN block</span></a>. Supported is the use of basic arithmetic:</p>
<a class="reference internal" href="#msr-theory-block"><span class="std std-ref">THEORY block</span></a> and for three specific cases in the <a class="reference internal" href="#msr-run-block"><span class="std std-ref">RUN block</span></a> (<cite>norm</cite>, <cite>alpha</cite>, and <cite>beta</cite>). Supported is the use of basic arithmetic:</p>
<dl class="simple">
<dt><span class="math notranslate nohighlight">\(+\)</span></dt><dd><p>Addition</p>
</dd>
@ -1169,15 +1169,19 @@ a short digression is needed.</p>
</dd>
</dl>
<span id="index-20"></span><dl id="msr-alpha-beta">
<dt><strong>alpha, beta</strong> (fit type 2, 3, 5)</dt><dd><p>These parameters are used to correct the asymmetry for different detector efficiencies, solid angles and initial asymmetries. They are defined as <span class="math notranslate nohighlight">\(\alpha = N_{0,b}/N_{0,f}\)</span> and <span class="math notranslate nohighlight">\(\beta = A_{0,b}/A_{0,f}\)</span>. If the parameters are not specified in the <a class="reference internal" href="#msr-run-block"><span class="std std-ref">RUN block</span></a>, for each one the value of 1 is assumed (for fittype 5, alpha is estimated from the ratio of <span class="math notranslate nohighlight">\(\sum_i \left( N_{\mathrm{bp}}(i)+N_{\mathrm{bm}}(i) \right)\)</span> and <span class="math notranslate nohighlight">\(\sum_i \left( N_{\mathrm{fp}}(i)+N_{\mathrm{fm}}(i) \right)\)</span>). Example for alpha with fit parameter number 1:</p>
<dt><strong>alpha, beta</strong> (fit type 2, 3, 5)</dt><dd><p>These parameters are used to correct the asymmetry for different detector efficiencies, solid angles and initial asymmetries. They are defined as <span class="math notranslate nohighlight">\(\alpha = N_{0,b}/N_{0,f}\)</span> and <span class="math notranslate nohighlight">\(\beta = A_{0,b}/A_{0,f}\)</span>. If the parameters are not specified in the <a class="reference internal" href="#msr-run-block"><span class="std std-ref">RUN block</span></a>, for each one the value of 1 is assumed (for fittype 5, alpha is estimated from the ratio of <span class="math notranslate nohighlight">\(\sum_i \left( N_{\mathrm{bp}}(i)+N_{\mathrm{bm}}(i) \right)\)</span> and <span class="math notranslate nohighlight">\(\sum_i \left( N_{\mathrm{fp}}(i)+N_{\mathrm{fm}}(i) \right)\)</span>). Both, <cite>alpha</cite> as well as <cite>beta</cite> can be expressed through a function. Example for alpha with fit parameter number 1:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">alpha</span> <span class="mi">1</span>
</pre></div>
</div>
<p>Example for an <code class="docutils literal notranslate"><span class="pre">alpha</span></code> defined via function number 1:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">alpha</span> <span class="n">fun1</span>
</pre></div>
</div>
</dd>
</dl>
<span id="index-21"></span><dl id="msr-norm">
<dt><strong>norm</strong> (fit type 0)</dt><dd><p>Number of the fit parameter that represents the normalization constant <span class="math notranslate nohighlight">\(N_0\)</span> of the histogram; the value of this parameter is given either per nanosecond or per bin (see <a class="reference internal" href="#msr-commands-block"><span class="std std-ref">below</span></a>).
It is possible to substitute the parameter number by a function here (and only here in a RUN block), for instance to relate <span class="math notranslate nohighlight">\(N_0\)</span>s of different histograms through an <span class="math notranslate nohighlight">\(\alpha\)</span>
It is possible to substitute the parameter number by a function, for instance to relate <span class="math notranslate nohighlight">\(N_0\)</span>s of different histograms through an <span class="math notranslate nohighlight">\(\alpha\)</span>
parameter. Example for a <code class="docutils literal notranslate"><span class="pre">norm</span></code> defined by fit parameter number 12:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">norm</span> <span class="mi">12</span>
</pre></div>
@ -2429,12 +2433,12 @@ In case this cannot be ensured, the parallelization can be disabled by <em>di
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