Fit multiple Lorentzian peaks from spectrogram
This post shows of to fit an arbitrary number of Lorentzian peaks (Cauchy distribution) using scipy.
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landercy.be
Grasp more from your process, make analytics, focus on what matters.
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Adjustments of a statistical distribution
This post shows how to adjust statistical distribution on a random sampled dataset and assess precision of regressed parameters. Synthetic dataset We create a synthetic dataset by sampling random values from a Log Normal law: We also create a support…
Simultaneously adjust multiple kinetics
In this post we show how we can fit simultaneously multiple kinetics from ODE system using the scipy package. That is, we will regress parameters from multiples curves described by a dynamic system at once. To reach that goal, we…
Automatize your statistical tests with Python, Pandas and SciPy
Synthetic dataset First let’s import few packages to do the job. Now we can create a synthetic dataset to support the discussion: Pandas aggregation magic The key to make easy and flexible aggregation with pandas is to define function with…
Tropospheric Ozone correlations
In this post we review some well known properties of tropospheric Ozone. Exercise is performed on 10 years of observations through specific correlations between Ozone, Nitrogen Dioxide and meteorological parameters. Objective is to draw a knowledge baseline about the Ozone.
Adjustment of an ordinary differential equation
This post shows how ODE parameters as well as initial condition can be adjusted to experimental data using Python. Adjusting ODE parameters is good topic to introduces specific methodology such as parameter normalization and sample bootstrapping.
Multiple adjustments of a catalytic kinetic
Model We want to model an heterogeneous reaction between Isopropanol and Raney’s Nickel which is a catalytic deshydrogenation. Reaction produces Isopropanone (acetone) and dihydrogen: For sake of simplicity we label the reaction as follow: Where is the kinetic constant of…
Adjustment of a series expansion with Python
Python and scipy package are very powerful when dealing with optimization problem. We present in this article a double optimization problem involving root find of a rational trigonometric equation and a non linear adjustment of a series expansion.
Adjustment of an integral function with Python
Python is a very convenient companion for function adjustment and scientific computing in general. We present in this article a simple problem where the scipy package is the sufficient toolbox to tackle an non linear adjustment problem involving a numerical…