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BORG3 is a submodule of the ARES3 framework. It comprises a set of complex non-linear models of large scale structure formation alongside with their adjoint gradient model. Their current list is:

• First Order Lagrangian Perturbation Theory (libLSS/physics/forwards/borg_lpt.hpp)
• Second Order Lagrangian Perturbation Theory (libLSS/physics/forwards/borg_2lpt.hpp)
• Full Particle-Mesh N-body simulation (libLSS/physics/forwards/borg_pm.hpp)

In addition to these forward models, BORG3 includes both specialized bias models and likelihoods and a generic bias framework. The generic framework supports the following data likelihood:

• Gaussian
• Poisson
• Negative Binomial  Δ
• Alternative Negative Binomial  Δ

Additionally the following bias function are supported:

• Noop
• Linear
• PowerLaw
• Broken Power Law
• Double Power Law
• Many Power
• Second Order Bias

The specialized biases/likelihoods are the following (each model is detailed in the linked page):

• Poisson/Truncated power law
• Negative binomial/Truncated power law
• Gaussian/Linear bias  Δ
• Generic bias framework
• Julia likelihood

Owing to the need of working in a non-shared memory environment (i.e. using MPI technology for parallelization), they have different communication technology developped to make the management of particles easy. We have notably developped a particle distribution mechanism which can be parametrized with any load balancing algorithm.