CONCEPT - The COsmological $N$-body CodE in PyThon
Jeppe Dakin

TL;DR
CONCEPT is an open-source Python-based cosmological N-body simulation code designed for ease of use and parallel computing, supporting various gravity calculation algorithms for dark matter simulations.
Contribution
It introduces a flexible, user-friendly Python framework for cosmological N-body simulations with support for multiple gravity algorithms and parallel execution.
Findings
Supports PP, PM, and P3M algorithms for gravity computation.
Designed for massively parallel distributed memory systems.
Aims to simplify the process of running and developing cosmological simulations.
Abstract
COCEPT (COsmological -body CodE in PyThon) is a free and open-source code for cosmological -body simulations on massively parallel computers with distributed memory. Collisionless dark matter is the only implemented particle species. Gravity can be computed using the PP, PM or the PM algorithm. The goal of COCEPT is to make it pleasant to work with cosmological -body simulations - for the cosmologist as well as for the source code developer. This is the user guide. The source code and additional documentation can be found at https://github.com/jmd-dk/concept/
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed and Parallel Computing Systems · Computational Physics and Python Applications · Parallel Computing and Optimization Techniques
