myprojects-hg-reborn

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I added object2.py which is a very simple code calculating the area of a
rectangle using classes and instantiation.

I simply set to 1300 the particle density in smoluchowski2.py.

Now the code 3D_R_plotting.R has some extra functionalities and the
legend is positioned automatically.

I added an extra line to simulations_script to call an extra .R code for
data post-processing.

Now the code lognormal_binning.R also plots the affective density as a
function of the aggregate size.

I added some extra features to 3D_R_plotting.R (which is now geared at
the graphics one can obtain by post-processing the results of
smoluchowski2.py simulations).

I corrected a bug in the 3D plot generated by
read_results_smoluchowsky_single_simulation.R.

I changed the name of the directory where the results are saved in code
smoluchowski2.py and I added a few lines which calculate the time-scales
of the problem.

I corrected a typo in create_dir.py.

I modified lognormal_binning.R. Now the code saves the average volume
and arithmetic diameter of the particle which are both used to calculate
the time-scales in the smoluchowski2.py code.

I added the code 3D_R_plotting.R which correctly uses the lattice
package for 3D plots in R and properly save the figure in a file.

I modified the aspect ratio of the 3D plot in the code
read_results_smoluchowsky_single_simulation.R.

I modified the code read_results_smoluchowsky_single_simulation.R. It
now plots and prints correctly the 3D evolution of the number-size
distribution. One needs to use a set of specific commands to save the
figure and a has to use a command sort(decreasing=FALSE) on the time
vector when constructing the space-time grid.
constructing the

I added the code pylab_tex.py which shows some of the pylab's
capabilities to use Tex in figures.

I added the file 3D_gnuplot.plt which can be used to read a matrix of
data and plot them. However, this is not done yet [I do not know yet
how to impose my own labels on the x and y axis and how to choose the
kind of font and so on].

I added the file pylab_3D.py which gives an example of pylab
possibilities with 3D plots.

I removed the first plot from the code plot_section.py and now the plot
of the scalar (namely the axial velocity) along a cross section is fine.

I made some of the plotting options (e.g. the kind of colormap) a bit
more explicit in plot_section.py.

I added to plot plot_section.py the capability to make bilinear
interpolations to smooth the contour plot.

I added the code plot_section.py, which is useful to plot e.g. a
countour plot of the axial velocity along a cross section of the tube.
As an input, it simply needs a snapshot of v_z along the whole pipe (or
directly along a cross-section of the pipe).

Now main_output has an extra entry for a new correction in case particle
losses are found to be significant.

Now simulations_script calls an extra Python code which creates some
directories.

Now lognormal_binning.R saves its plots in a specific folder.

Now read_results_smoluchowsky_single_simulation.R saves its output in a
specific folder

Now nls-LM-read-and-plot-soldati.R saves its output plots in a specific
folder.

Slight modifications to smoluchowski2.py, mainly needed to save the
output plots in a specific folder.

Now air-mean-free-path.py calculated the total and time-dependent
thermophoretic deposition efficiency assuming a specific representative
size for the particles involved. Also the plots are now saved in a
specific directory.

I added create_dir.py which is useful to create a set of directories to
have a cleaner output of the plots I create with my simulations (namely
smoluchowski2.py) .

I removed the vela simulations (binary files).

I added an input file corresponding to the script simulations_script.