Calibrating the acid titrant

The acid titrant can be calibrated using measurements of a sample with known alkalinity: we simply solve for the acid concentration that produces the known alkalinity value.

In Calkulate this can be done using the acid concentration calibration function:

concAcid = calk.calibrate.concAcid(massAcid, emf, tempK, massSample, alkCert,
    concTotals, eqConstants, solver='complete')['x'][0]

As with the solver functions, the entire OptimizeResult from SciPy's least-squares optimisation function is returned, so the actual acid concentration value is stored in the field 'x'.

By default this calibration function uses the complete calculation method, but you can use any of the other solvers by changing the solver input. The (case-insensitive) options are:


Wrapper for .dat file inputs

If your data is formatted as a VINDTA-style .dat file, you can more easily implement any of the solvers above using the wrapped concAcid function in the datfile module:

concAcidOptResult = calk.datfile.alk(datFile, volSample, alkCert, pSal, totalCarbonate,
    totalPhosphate, totalSilicate, solver='complete', buretteCorrection=1, tempKForce=None)

Here, the input datFile is the file name (and path to it, if necessary) of the titration data file that you want to solve. Just like in the calibration function, the case-insensitive optional solver input (defaults to the complete calculation method) can be set as the name of any of the methods available in Calkulate.

The output concAcidOptResult contains the full optimisation output that would be obtained by using the calibrate.concAcid method described above.