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- W2117789590 abstract "We propose a method to generate `genetically-modified' (GM) initial conditions for high-resolution simulations of galaxy formation in a cosmological context. Building on the Hoffman-Ribak algorithm, we start from a reference simulation with fully random initial conditions, then make controlled changes to specific properties of a single halo (such as its mass and merger history). The algorithm demonstrably makes minimal changes to other properties of the halo and its environment, allowing us to isolate the impact of a given modification. As a significant improvement over previous work, we are able to calculate the abundance of the resulting objects relative to the reference simulation. Our approach can be applied to a wide range of cosmic structures and epochs; here we study two problems as a proof-of-concept. First, we investigate the change in density profile and concentration as the collapse time of three individual halos are varied at fixed final mass, showing good agreement with previous statistical studies using large simulation suites. Second, we modify the $z=0$ mass of halos to show that our theoretical abundance calculations correctly recover the halo mass function. The results demonstrate that the technique is robust, opening the way to controlled experiments in galaxy formation using hydrodynamic zoom simulations." @default.
- W2117789590 created "2016-06-24" @default.
- W2117789590 creator A5003176673 @default.
- W2117789590 creator A5004202354 @default.
- W2117789590 creator A5027649787 @default.
- W2117789590 date "2015-11-07" @default.
- W2117789590 modified "2023-10-10" @default.
- W2117789590 title "Genetically modified haloes: towards controlled experiments in ΛCDM galaxy formation" @default.
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- W2117789590 doi "https://doi.org/10.1093/mnras/stv2375" @default.
- W2117789590 hasPublicationYear "2015" @default.
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