Update README, remove obsolete periodic lattice tutorial
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@ -51,7 +51,7 @@ PROJECT_BRIEF = "Electromagnetic multiple scattering library and toolki
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# and the maximum width should not exceed 200 pixels. Doxygen will copy the logo
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# to the output directory.
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PROJECT_LOGO =
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PROJECT_LOGO = farfield.png
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# The OUTPUT_DIRECTORY tag is used to specify the (relative or absolute) path
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# into which the generated documentation will be written. If a relative path is
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66
README.md
66
README.md
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@ -14,9 +14,11 @@ the particles. The system can consist either of a finite number of particles
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or an infinite number of periodically arranged lattices (with finite number
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of particles in a single unit cell).
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Features
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========
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Finite systems
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--------------
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* Computing multipole excitations and fields scattered from nanoparticle
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@ -31,7 +33,6 @@ Infinite systems (lattices)
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---------------------------
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* 2D-periodic systems with arbitrary unit cell geometry supported. (TODO 1D and 3D.)
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* Computing multipole excitations and fields scattered from nanoparticle
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arrays illuminated by plane (or other periodic) waves.
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* Finding eigenmodes and calculating dispersion relations.
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* Calculation of the scattered fields.
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* *Calculation of total transmission and reflection properties (TODO).*
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@ -39,6 +40,14 @@ Infinite systems (lattices)
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symmetries of the lattice (decomposition to irreducible representations) (in development).*
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Getting the code
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================
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The main upstream public repository is located at <https://repo.or.cz/qpms.git>.
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Just clone the repository with `git` and proceed to the installation instructions
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below.
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Installation
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============
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The package depends on several python modules, a BLAS/LAPACK library with
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@ -99,16 +108,65 @@ under root.
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Tutorials
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---------
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* [Infinite system (lattice) tutorial][tutorial-infinite]
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* [Finite system tutorial][tutorial-finite]
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See also the examples directory.
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See also the examples directory in the source repository.
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Acknowledgments
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================
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This software has been developed in the [Quantum Dynamics research group][QD],
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Aalto University, Finland. If you use the code in your work, please cite
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**M. Nečada and P. Törmä, Multiple-scattering T-matrix simulations for nanophotonics: symmetries and periodic lattices, [arXiv: 2006.12968][lepaper] (2020)**
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in your publications, presentations, and similar.
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Please also have a look at other publications by the group
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(google scholar Päivi Törmä), they may be useful for your work as well.
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Bug reports
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===========
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If you believe that some parts of QPMS behave incorrectly, please mail
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a bug report to <marek@necada.org>. To ensure that your message is not
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considered spam, please start the subject line with `QPMS`.
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If you were able to fix a bug yourself, please include the patch as well,
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see below.
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Contributions
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=============
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Contributions to QPMS are welcome, be it bug fixes, improvements to the
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documentation, code quality, or new features.
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You can send patches prepared using the
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[`git format-patch`](https://git-scm.com/docs/git-format-patch) tool
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to <marek@necada.org>.
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If you plan to contribute with major changes to the codebase, it is
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recommended to discuss that first (see the contact information below).
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Contact & discussion
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====================
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You can contact the main author e.g. via [e-mail](marek@necada.org)
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or [Telegram](https://t.me/necadam).
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You are also warmly welcome to the [QPMS user chat](https://t.me/QPMScattering)
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in Telegram!
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[SCUFF-EM]: https://homerreid.github.io/scuff-em-documentation/
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[OpenBLAS]: https://www.openblas.net/
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[GSL]: https://www.gnu.org/software/gsl/
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[cmake]: https://cmake.org
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[TRITON-README]: README.Triton.md
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[tRITON-README]: README.Triton.md
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[tutorial-finite]: finite_systems.md
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[tutorial-infinite]: lattices.md
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[doxygen]: http://doxygen.nl/
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[QD]: https://www.aalto.fi/en/department-of-applied-physics/quantum-dynamics-qd
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[lepaper]: https://arxiv.org/abs/2006.12968
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@ -1,6 +1,8 @@
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Using QPMS library for simulating finite systems
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================================================
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*** This tutorial is partly obsolete, the interpolators are no longer the first choice of getting the T-matrices. ***
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The main C API for finite systems is defined in [scatsystem.h][], and the
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most relevant parts are wrapped into python modules. The central data structure
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defining the system of scatterers is [qpms_scatsys_t][],
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118
lattices.md
118
lattices.md
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@ -1,118 +0,0 @@
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Using QPMS library for finding modes of 2D-periodic systems
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===========================================================
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Calculating modes of infinite 2D arrays is now done
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in several steps (assuming the T-matrices have already
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been obtained using `scuff-tmatrix` or can be obtained
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from Lorenz-Mie solution (spherical particles)):
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1. Sampling the *k*, *ω* space.
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2. Pre-calculating the
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Ewald-summed translation operators.
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3. For each *k*, *ω* pair, build the LHS operator
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for the scattering problem (TODO reference), optionally decomposed
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into suitable irreducible representation subspaces.
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4. Evaluating the singular values and finding their minima.
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The steps above may (and will) change as more user-friendly interface
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will be developed.
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Preparation: compile the `ew_gen_kin` utility
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---------------------------------------------
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This will change, but at this point, the lattice-summed
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translation operators are computed using the `ew_gen_kin`
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utility located in the `qpms/apps` directory. It has to be built
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manually like this:
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```bash
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cd qpms/apps
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c99 -o ew_gen_kin -Wall -I ../.. -I ../../amos/ -O2 -ggdb -DQPMS_VECTORS_NICE_TRANSFORMATIONS -DLATTICESUMS32 2dlattice_ewald.c ../translations.c ../ewald.c ../ewaldsf.c ../gaunt.c ../lattices2d.c ../latticegens.c ../bessel.c -lgsl -lm -lblas ../../amos/libamos.a -lgfortran ../error.c
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```
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Step 1: Sampling the *k*, *ω* space
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--------------------------------------
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`ew_gen_kin` expects a list of (*k_x*, *k_y*)
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pairs on standard input (separated by whitespaces),
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the rest is specified via command line arguments.
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So if we want to examine the line between the Г point and the point
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\f$ k = (0, 10^5\,\mathrm{m}^{-1}) \f$, we can generate an input
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running
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```bash
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for ky in $(seq 0 1e3 1e5); do
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echo 0 $ky >> klist
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done
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```
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It also make sense to pre-generate the list of *ω* values,
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e.g.
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```bash
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seq 6.900 0.002 7.3 | sed -e 's/,/./g' > omegalist
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```
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Step 2: Pre-calculating the translation operators
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-------------------------------------------------
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`ew_gen_kin` currently uses command-line arguments in
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an atrocious way with a hard-coded order:
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```
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ew_gen_kin outfile b1.x b1.y b2.x b2.y lMax scuffomega refindex npart part0.x part0.y [part1.x part1.y [...]]
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```
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where `outfile` specifies the path to the output, `b1` and `b2` are the
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direct lattice vectors, `lMax` is the multipole degree cutoff,
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`scuffomega` is the frequency in the units used by `scuff-tmatrix`
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(TODO specify), `refindex` is the refractive index of the background
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medium, `npart` number of particles in the unit cell, and `partN` are
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the positions of these particles inside the unit cell.
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Assuming we have the `ew_gen_kin` binary in our `${PATH}`, we can
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now run e.g.
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```bash
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for omega in $(cat omegalist); do
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ew_gen_kin $omega 621e-9 0 0 571e-9 3 w_$omega 1.52 1 0 0 < klist
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done
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```
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This pre-calculates the translation operators for a simple (one particle per unit cell)
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621 nm × 571 nm rectangular lattice inside a medium with refractive index 1.52,
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up to the octupole (`lMax` = 3) order, yielding one file per frequency.
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This can take some time and
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it makes sense to run a parallelised `for`-loop instead; this is a stupid but working
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way to do it in bash:
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```bash
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N=4 # number of parallel processes
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for omega in $(cat omegalist); do
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((i=i%N)); ((i++==0)) && wait
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ew_gen_kin $omega 621e-9 0 0 571e-9 3 w_$omega 1.52 1 0 0 < klist
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echo $omega # optional, to follow progress
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done
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```
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When this is done, we convert all the text output files into
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numpy's binary format in order to speed up loading in the following steps.
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This is done using the processWfiles_sortnames.py script located in the
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`misc` directory. Its usage pattern is
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```
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processWfiles_sortnames.py npart dest src1 [src2 ...]
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```
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where `npart` is the number of particles in the unit cell, `dest`
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is the destination path for the converted data (this will be
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a directory), and the remaining arguments are paths to the
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files generated by `ew_gen_kin`. In the case above, one could use
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```
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processWfiles_sortnames.py 1 all w_*
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```
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which would create a directory named `all` containing several
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.npy files.
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Steps 3, 4
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----------
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TODO. For the time being, see e.g. the `SaraRect/dispersions.ipynb` jupyter notebook
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from the `qpms_ipynotebooks` repository
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for the remaining steps.
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