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Software to build Halo Merger Trees/compare halo catalogs
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NBodylib @ 6cd99e0
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examples Update to associated postprocessing scripts Nov 7, 2019
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README.md

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alt text

TreeFrog (formerly HaloTree)

================================================================================================

developed by:

Pascal Jahan Elahi (continuously)
Additional contributors:
Rhys Poulton
Rodrigo Tobar

================================================================================================

Content

(for more information type make doc in main dir and in NBodylib dir and
see documents in the doc directory)

src/        contains main source code for the algorithm
doc/        contains Doxygen generated latex and html file of code
NBodylib/   submodule: contains library of objects and routines used by algorithm (can also be used by
            other routines)
tools/      submodule: contains python tools of manipulating/reading output

================================================================================================

Compiling (see documentation for more information)

TreeFrog uses CMake as its build tool. cmake is used to perform system-level checks,
like looking for libraries and setting up the rules for the build, and then generates the
actual build scripts in one of the supported build systems. Among other things, cmake supports
out-of-tree builds (useful to keep more than one build with different settings, and to avoid
cluttering the original source code directories) and several build system, like make and
ninja files.

TreeFrog uses submodules so if you have a fresh clone use

git submodule update --init --recursive

to update the submodules use

git submodule update --recursive --remote

The simplest way of building is, standing on the root your repository, run cmake to produce
Makefiles and then compile with these steps:

mkdir build
cd build
cmake .. # By default will generate Makefiles
make all

There are a variety of options that can be invoked
and these can be viewed using
cmake -LH
(though this only works after having run cmake at least once)

Although documentation is present on the readthedocs site, extra documentation can be produced
by typing
make doc
which will produce html and latex documents using Doxygen. This will be located in
doc/html/index.html
and
doc/latex/refman.tex

Note that TreeFrog and all variants do not support non-Unix environments. (Mac OS X is fine; Windows is not).

================================================================================================

Running (see documentation for more information)

This is a MPI+OpenMP code that reads in particle IDs information between various structure
catalogues and cross matches catalogues assuming that particle IDs are unique and constant
across snapshots. Though it is built as a cross correlator (in that it can match particles
across several different catalogues), its principle use is as halo merger tree builder. The
code produces links between objects found at different snapshots (or catalogues) and uses
several possible functions to evaluate the merit of a link between one object at a given
snapshot (or in a given catalogue) to another object in a previous snapshot
(or different catalogue). It can also produce a full graph.

This code naturally reads VELOCIraptor output and is optimised for it but can also read output
from other structure finders like AHF.

Running the code is
mpirun -np numberofmpi ./bin/treefrog -i filelist.txt -o outname -s numberofsnapsorcatalogues

The code also has many other command line arguments. Simply pass -?

Note that building a tree can be quite memory intensive for large simulations with lots of snapshots.
In mpi mode, the snapshots are split so as to approximately have the same number of particles (or halos) in
structures per mpi process (load balance the memory footprint). This means that some mpi threads will
process significantly more snapshots than others (consider early times where few particles belong
to groups compared to late times where lots of structure has formed.) In that case it may be useful
to play with the load balancing when running in mpi. This can be done using a single mpi thread and
specifying the desired number of mpithreads and the desired number of particles per mpi thread.
mpirun -np 1 ./bin/treefrog -i filelist.txt -o outname -s numberofsnapsorcatalogues -z nummpi -n numpermpi
This will produce a file containing the load balance (ie: what files a mpi process should read).

================================================================================================

Tools:

Contains some example of reading routines for velociraptor output. For example will show
how a routine will read the output of velociraptor.
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