Robust marginalization of baryonic effects for cosmological inference at the field level

• URL: http://arxiv.org/abs/2109.10360v1
• Date: Tue, 21 Sep 2021 18:00:01 GMT
• Title: Robust marginalization of baryonic effects for cosmological inference at the field level
• Authors: Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, David N. Spergel, Yin Li, Benjamin Wandelt, Leander Thiele, Andrina Nicola, Jose Manuel Zorrilla Matilla, Helen Shao, Sultan Hassan, Desika Narayanan, Romeel Dave, Mark Vogelsberger
• Abstract summary: We train neural networks to perform likelihood-free inference from $(25,h-1rm Mpc)2$ 2D maps containing the total mass surface density. We show that the networks can extract information beyond one-point functions and power spectra from all resolved scales.
• Score: 12.768056235837427
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We train neural networks to perform likelihood-free inference from $(25\,h^{-1}{\rm Mpc})^2$ 2D maps containing the total mass surface density from thousands of hydrodynamic simulations of the CAMELS project. We show that the networks can extract information beyond one-point functions and power spectra from all resolved scales ($\gtrsim 100\,h^{-1}{\rm kpc}$) while performing a robust marginalization over baryonic physics at the field level: the model can infer the value of $\Omega_{\rm m} (\pm 4\%)$ and $\sigma_8 (\pm 2.5\%)$ from simulations completely different to the ones used to train it.

Related papers

• Optimized Quantum Simulation Algorithms for Scalar Quantum Field Theories [0.3394351835510634]
  We provide practical simulation methods for scalar field theories on a quantum computer that yield improveds. We implement our approach using a series of different fault-tolerant simulation algorithms for Hamiltonians. We find in both cases that the bounds suggest physically meaningful simulations can be performed using on the order of $4times 106$ physical qubits and $1012$ $T$-gates.
  arXiv  Detail & Related papers  (2024-07-18T18:00:01Z)
• Towards large-scale quantum optimization solvers with few qubits [59.63282173947468]
  We introduce a variational quantum solver for optimizations over $m=mathcalO(nk)$ binary variables using only $n$ qubits, with tunable $k>1$. We analytically prove that the specific qubit-efficient encoding brings in a super-polynomial mitigation of barren plateaus as a built-in feature.
  arXiv  Detail & Related papers  (2024-01-17T18:59:38Z)
• Bayesian deep learning for cosmic volumes with modified gravity [0.0]
  This study aims at extracting cosmological parameters from modified gravity (MG) simulations through deep neural networks endowed with uncertainty estimations. We train both BNNs with real-space density fields and power-spectra from a suite of 2000 dark matter only particle mesh $N$-body simulations. BNNs excel in accurately predicting parameters for $Omega_m$ and $sigma_8$ and their respective correlation with the MG parameter.
  arXiv  Detail & Related papers  (2023-09-01T17:59:06Z)
• Studying chirality imbalance with quantum algorithms [62.997667081978825]
  We employ the (1+1) dimensional Nambu-Jona-Lasinio (NJL) model to study the chiral phase structure and chirality charge density of strongly interacting matter. By performing the Quantum imaginary time evolution (QITE) algorithm, we simulate the (1+1) dimensional NJL model on the lattice at various temperature $T$ and chemical potentials $mu$, $mu_5$.
  arXiv  Detail & Related papers  (2022-10-06T17:12:33Z)
• Robust field-level inference with dark matter halos [0.6037135999215006]
  We train graph neural networks on halo catalogues from Gadget N-body simulations to perform field-level likelihood-free inference of cosmological parameters. Our models are very robust: they can infer the value of $Omega_rm m$ and $sigma_8$ when tested using halo catalogues.
  arXiv  Detail & Related papers  (2022-09-14T18:00:06Z)
• Satellite galaxy abundance dependency on cosmology in Magneticum simulations [101.18253437732933]
  We build an emulator of satellite abundance based on cosmological parameters. We find that $A$ and $beta$ depend on cosmological parameters, even if weakly. We also show that satellite abundance cosmology dependency differs between full-physics (FP) simulations, dark-matter only (DMO) and non-radiative simulations.
  arXiv  Detail & Related papers  (2021-10-11T18:00:02Z)
• Multifield Cosmology with Artificial Intelligence [13.031414468952313]
  Astrophysical processes modify the properties of dark matter, gas, and galaxies in a poorly understood way. We generate hundreds of thousands of 2-dimensional maps for 13 different fields. We use these maps to train convolutional neural networks to extract the maximum amount of cosmological information.
  arXiv  Detail & Related papers  (2021-09-20T18:00:01Z)
• Quantum spin solver near saturation: QS$^3_{~}$ [0.0]
  We develop a program package named QS$3$ [textipakj'u:-'es-kj'u:b] based on the (thick-restart) Lanczos method for analyzing spin-1/2 XXZ-type quantum spin models. We show the benchmark results of QS$3$ for the low-energy excitation dispersion of the isotropic Heisenberg model on the $10times10times10$ cubic lattice.
  arXiv  Detail & Related papers  (2021-07-02T07:06:34Z)
• Mapping the charge-dyon system into the position-dependent effective mass background via Pauli equation [77.34726150561087]
  This work aims to reproduce a quantum system composed of a charged spin - $1/2$ fermion interacting with a dyon with an opposite electrical charge.
  arXiv  Detail & Related papers  (2020-11-01T14:38:34Z)
• Quantum Algorithms for Simulating the Lattice Schwinger Model [63.18141027763459]
  We give scalable, explicit digital quantum algorithms to simulate the lattice Schwinger model in both NISQ and fault-tolerant settings. In lattice units, we find a Schwinger model on $N/2$ physical sites with coupling constant $x-1/2$ and electric field cutoff $x-1/2Lambda$. We estimate observables which we cost in both the NISQ and fault-tolerant settings by assuming a simple target observable---the mean pair density.
  arXiv  Detail & Related papers  (2020-02-25T19:18:36Z)
• Minimum optical depth multi-port interferometers for approximating any unitary transformation and any pure state [52.77024349608834]
  We show that any pure state, in any dimension $d$, can be prepared with infidelity $le 10-15$ using multi-port interferometers. The schemes in [Phys. Rev. Lett. textbf73, 58 (1994) and Optica text3, 1460, 1460, only achieves an infidelity in the order of $10-7$ for block-diagonal unitary transformations.
  arXiv  Detail & Related papers  (2020-02-04T15:40:49Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.