The Cold Dark Matter model faces many controversies at small scales, as simulations fail to reproduce the observed properties of dark matter (DM) halos. Since rival DM models differ on their predictions about the structure of DM halos, understanding their mass distribution is crucial for determining the nature of DM. However, only numerical approaches to determining what a hypothesis implies for the mass distribution are possible. Hence, simulations are a crucial part of evaluating DM rival models, as is assessing their reliability. I argue that robustness analysis is not a sufficient criterion for the trustworthiness of cosmological simulations.

中文翻译：

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论宇宙学模拟的鲁棒性

冷暗物质模型在小尺度上面临许多争议，因为模拟无法重现观察到的暗物质 (DM) 晕的特性。由于竞争对手的 DM 模型对 DM 晕结构的预测不同，因此了解它们的质量分布对于确定 DM 的性质至关重要。然而，只有确定假设对质量分布意味着什么的数值方法是可能的。因此，模拟是评估 DM 竞争模型的关键部分，评估它们的可靠性也是如此。我认为稳健性分析不是宇宙学模拟可信度的充分标准。