We present a new simulation technique in which any chosen mode k of the density contrast field can be amplified by an amplitude Δ. These amplified-mode simulations allow us to study the response of the halo density field to a long-wavelength mode other than the DC mode. In this sense they are a generalization of the separate-universe simulations to finite-wavelength modes. In particular, we use these simulations to obtain robust measurements of the first higher-derivative bias of dark matter halos b∇javax.xml.bind.JAXBElement@5b412ca2. We find a negative bias at all mass considered, roughly following the-RL2(M) relation, the Lagrangian radius of halos squared, as naively expected. We compare our results with those obtained from a fit to the 1-loop halo-matter power spectrum, as well as with the recent results from Abidi and Baldauf (2018), and to the prediction from the peak theory.
Lazeyras, T., Schmidt, F. (2019). A robust measurement of the first higher-derivative bias of dark matter halos. JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS, 2019(11) [10.1088/1475-7516/2019/11/041].
A robust measurement of the first higher-derivative bias of dark matter halos
Lazeyras T.
Primo
;
2019
Abstract
We present a new simulation technique in which any chosen mode k of the density contrast field can be amplified by an amplitude Δ. These amplified-mode simulations allow us to study the response of the halo density field to a long-wavelength mode other than the DC mode. In this sense they are a generalization of the separate-universe simulations to finite-wavelength modes. In particular, we use these simulations to obtain robust measurements of the first higher-derivative bias of dark matter halos b∇javax.xml.bind.JAXBElement@5b412ca2. We find a negative bias at all mass considered, roughly following the-RL2(M) relation, the Lagrangian radius of halos squared, as naively expected. We compare our results with those obtained from a fit to the 1-loop halo-matter power spectrum, as well as with the recent results from Abidi and Baldauf (2018), and to the prediction from the peak theory.| File | Dimensione | Formato | |
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