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https://github.com/Vindaar/nim-mpfit

A wrapper for the cMPFIT library for the Nim programming language, https://vindaar.github.io/nim-mpfit/
https://github.com/Vindaar/nim-mpfit

fitting least-squares levenberg-marquardt nim non-linear-optimization nonlinear

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A wrapper for the cMPFIT library for the Nim programming language, https://vindaar.github.io/nim-mpfit/

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README

        

* MPFIT for Nim - Non-linear least squares fitting
Wrapper of the [[https://www.physics.wisc.edu/~craigm/idl/cmpfit.html][cMPFIT library]] for Nim.

** Documentation

For the (mostly autogenerated) documentation, see:

https://vindaar.github.io/nim-mpfit/

** Example

The following example shows the basic usage of the library. Note that
the actual code related to mpfit-nim is only the definition of =proc
expH(...)= and =proc fitHalfLife(...)=.

In addition an =echoResult= proc is defined, which can be used to
pretty print the result of the fit. Alternatively, you can call
=pretty= taking the final parameters and the =mp_result= (i.e. the
tuple returned by =fit= as separate arguments) to get a string
representation of it.

Note: we use the =mpfit/plotting= submodule here to generate a plot in
one line. It depends on [[https://github.com/Vindaar/ggplotnim][ggplotnim]].

#+BEGIN_SRC nim :tangle examples/fit_half_life.nim
import std / [strutils, sequtils, strformat]
import pkg / [zero_functional, seqmath]
import mpfit

const
filename = "data/half_life_muon.txt"

func expH(p: seq[float], x: float): float =
## the function we'd like to fit. Any user defined function needs to
## be of the signature
## `proc[T](p: seq[T], x: T): T`
## i.e. conform to the `FuncProto[T]` type defined in mpfit_nim
result = p[0] * exp(-p[1] * x)

proc parseHalfLifeData(filename: string): (seq[float], seq[float]) =
## Parse the input file. First create seq of tuple of floats
## then convert that to tuple of seq[float]
let s = readFile(filename).splitLines --> filter('#' notin it and it.len > 0).
map(it.splitWhitespace).
map((it[0].parseFloat,
it[1].parseFloat))
result[0] = s --> map(it[0])
result[1] = s --> map(it[1])

proc fitHalfLife(bins, counts, countsErr: seq[float]): (seq[float], mp_result) =
## the actual code which performs the fitting. Call the `fit` proc
## with the user defined function to be fitted as the first argument,
## the initial parameter guess as the second and finally x, y and y_err
# start parameters
let p = [1400.0, 1.0]
# now just call fit
let (pRes, res) = fit(expH, p, bins, counts, countsErr)
echoResult(pRes, res = res)
result = (pRes, res)
echo &"The lifetime of the muon is ~ {1.0 / pRes[1]:.2f} µs"

when isMainModule:
# first parse the data from the file
let (bins, counts) = parseHalfLifeData(filename)
# calculates errors: poisson errors on the counts
let countsErr = counts.mapIt(sqrt(it))
# perform the fit and echo results
let (pRes, res) = fitHalfLife(bins, counts, countsErr)

# plot the data and the fit
import mpfit / plotting # import plotting convenience function
plot(
expH, pRes, # the function we fit and resulting fit params
bins, counts, countsErr, # the input data & errors
res, # the `mp_result` returned from the `fit` call
xMin = 0.0, xMax = 10.0, # customize range of plot
xlabel = "time / μs", ylabel = "# counts", title = "Muon half life measurement", # and labels
outfile = "../media/muon_lifetime_measurement.png", # save as png
verbose = false # we set `verbose` to false, as we already `echoResult` manually
)
#+END_SRC

which outputs the following:
#+BEGIN_SRC sh
χ² = 74.0799 (8 DOF)
χ²/dof = 9.25999
NPAR = 2
NFREE = 2
NPEGGED = 0
NITER = 11
NFEV = 33
P[0] = 1937.1 +/- 45.6327
P[1] = 0.515508 +/- 0.00876106
The lifetime of the muon is ~ 1.94 µs
#+END_SRC

and creates this plot:
[[file:media/muon_lifetime_measurement.png]]

** Dependencies & Installation

The library depends on the cMPFIT library as a shared object. Either
get the source code from [[https://www.physics.wisc.edu/~craigm/idl/cmpfit.html][here]] or use the code in [[file:c_src/]].
Compile the C library as follows:
#+BEGIN_SRC sh
gcc -c -Wall -Werror -fpic mpfit.c mpfit.h
gcc -shared -o libmpfit.so mpfit.o
#+END_SRC
which should create a =libmpfit.so= file in the same directory. The
Nim library will link against it. Either copy the shared library to
the location of your Nim code, in which you use mpfit-nim, or install
it system wide, depending on your system it may look like the
following (Ubuntu x64):
#+BEGIN_SRC
cp libmpfit.so /usr/lib/x86_64-linux-gnu
#+END_SRC

Once the shared library is available, there shouldn't be anything else
to do to use the library. Note: the example given in
[[file:examples/fit_half_life.nim]] requires a few Nim libraries, which
are not dependencies, since they are only used in the example,
notably:
- =seqmath= (for linspace)
- =plotly= (+ =chroma=) (to plot the data and fit)
- =zero_functional= (to parse the data)

** Usage
The library consists of a single exported =fit= procedure, which has
the following signature:
#+BEGIN_SRC nim
proc fit*[T](f: FuncProto[T], pS: openArray[T], x, y, ey: openArray[T]): (seq[T], mp_result) =
#+END_SRC
the first argument is a user defined function (see below), the
following arguments are:
- =pS=: the first guess for the parameters
- =x=: data for x
- =y=: data for y
- =ey=: errors for y
Note: currently the =ey= may not be an empty sequence, nor 0, since we
use it as a weight. (TODO: change that!)

The =mp_result= object contains the chi^2 values for the fit, the
errors on the parameters and additional information about the internal
fitting process (e.g. number of times the user defined function was
called).
The type is defined in [[file:src/wrapper/mpfit_wrapper.nim]].

The =FuncProto[T]= type is the following:
#+BEGIN_SRC nim
proc [T](p: seq[T], x: T): T
#+END_SRC
defined in [[file:src/mpfit_nim.nim]].
The user defined function needs to conform to that (see the example above).

** License
The C code is governed by the licence as shown in
[[file:c_src/DISCLAIMER]]. The Nim code is published under the MIT license.