X-Ray Cluster Cosmology

Clerc, N.; Finoguenov, A.

doi:10.1007/978-981-16-4544-0_117-1

Handbook of X-Ray and Gamma-Ray Astrophysics 2023

DOI: 10.1007/978-981-16-4544-0_117-1

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X-Ray Cluster Cosmology

N. Clerc

A. Finoguenov

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Cited by 5 publications

References 242 publications

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JAXVacua — a framework for sampling string vacua

Dubey,

Krippendorf,

Schachner

2023

J. High Energ. Phys.

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Moduli stabilisation in string compactifications with many light scalars remains a major blind-spot in the string landscape. In these regimes, analytic methods cease to work for generic choices of UV parameters which is why numerical techniques have to be exploited. In this paper, we implement algorithms based on JAX, heavily utilising automatic differentiation, just-in-time compilation and parallelisation features, to efficiently construct string vacua. This implementation provides a golden opportunity to efficiently analyse large unexplored regions of the string landscape. As a first example, we apply our techniques to the search of Type IIB flux vacua in Calabi-Yau orientifold compactifications. We argue that our methods only scale mildly with the Hodge numbers making exhaustive studies of low energy effective field theories with $$ \mathcal{O} $$ O (100) scalar fields feasible. Using small computing resources, we are able to construct $$ \mathcal{O} $$ O (106) flux vacua per geometry with h1,2 ≥ 2, vastly out-performing previous systematic searches. In particular, we showcase the efficiency of our methods by presenting generic vacua with fluxes below the tadpole constraint set by the orientifold with up to h1,2 = 25 complex structure moduli.

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JAXVacua — a framework for sampling string vacua

Dubey,

Krippendorf,

Schachner

2023

J. High Energ. Phys.

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Cosmic accretion shocks as a tool to measure the dark matter mass of galaxy clusters

Vallés-Pérez,

Quilis,

Planelles

2024

Nat Astron

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Secondary halo bias through cosmic time

Balaguera-Antolínez,

Montero-Dorta,

Favole

2024

A&A

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The spatial distribution of dark matter halos carries cosmological and astrophysical information. Cosmological information can be considered to be contained in the connection between halo main properties and the large-scale halo bias, while the astrophysical information would be encoded in the scaling relations between halo properties. The combination of these two contributions leads to the effect of secondary halo bias. Our goal is to measure the signal of secondary halo bias as a function of a variety of intrinsic and environmental halo properties and to characterize its statistical significance as a function of cosmological redshift. Using fixed and paired $N$-body simulations of dark-matter halos -- the UNIT simulation -- with masses above $ M_ odot h^ $ identified over a wide range of cosmological redshifts ($0<z<5$), we explored the behavior of the scaling relations among different halo properties. We included novel environmental properties based on the halo distribution as well as the underlying dark-matter field. We implemented an object-by-object estimator of large-scale effective bias and tested its validity against standard approaches. With a bias assigned to each tracer, we performed a statistical analysis aimed at characterizing the distribution of the bias and the signal of the secondary halo bias. We show how the halo scaling relations linking direct probes of the halo potential well do not depend on the environment. On the contrary, links between the halo mass and the so-called set of secondary halo properties are sensitive to the cosmological environment, mainly to under-dense regions. We show that the signal of secondary bias is derived statistically from secondary correlations beyond the standard link to the halo mass. We show that the secondary bias arises through nonlocal and/or environmental properties related either to the halo distribution or to the properties of the underlying dark-matter field. In particular, properties such as the tidal field (a measure of the anisotropy of the density field) and the local Mach number (a measure of the local kinetic temperature of the halo distribution) generate the signals of the secondary bias with the highest significance. We propose applications of the assignment of individual bias for the generation of mock catalogs containing the signal of secondary bias, as well as a series of cosmological analyses aimed at mining large galaxy datasets.

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X-Ray Cluster Cosmology

Cited by 5 publications

References 242 publications

JAXVacua — a framework for sampling string vacua

JAXVacua — a framework for sampling string vacua

Cosmic accretion shocks as a tool to measure the dark matter mass of galaxy clusters

Secondary halo bias through cosmic time

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