The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference | Paper Citation Record

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference CMB-S4 Science Case, Reference Design, and Project Plan

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The XXL Survey XX: The 365 cluster catalogue

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference W., Piffaretti, R., et al

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference E., Bulbul, E., Clerc, N., et al

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2016, Journal of Open Source Software, 1, 58

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This paper cites & Arnouts, S.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference & Arnouts, S

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This paper cites P., Schrabback, T., et al.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference P., Schrabback, T., et al

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Multiprobe Cosmology from the Abundance of SPT Clusters and DES Galaxy Clustering and Weak Lensing

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference N., Mohr, J

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This paper cites 2024, Astronomy and Astrophysics, 682, A138, aDS Bibcode: 2024A&A...682A.138C.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2024, Astronomy and Astrophysics, 682, A138, aDS Bibcode: 2024A&A...682A.138C

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Unresolved cited work

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This paper cites The cosmological analysis of X-ray cluster surveys: I- A new method for interpreting number counts.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The cosmological analysis of X-ray cluster surveys: I- A new method for interpreting number counts

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The cosmological analysis of X-ray cluster surveys: II- Application of the CR-HR method to the XMM archive

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This paper cites 2024, Euclid.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2024, Euclid

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This paper cites 2018, Journal of Cosmology and Astroparticle Physics, 2018, 009, publisher: IOP ADS Bibcode: 2018JCAP...11..009D.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2018, Journal of Cosmology and Astroparticle Physics, 2018, 009, publisher: IOP ADS Bibcode: 2018JCAP...11..009D

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference R., Ji, L., Smith, R

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The XXL survey: XLVI. Forward cosmological analysis of the C1 cluster sample

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The SRG/eROSITA all-sky survey: Cosmology constraints from cluster abundances in the western Galactic hemisphere

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference HIFlow: Generating Diverse HI Maps and Inferring Cosmology while Marginalizing over Astrophysics using Normalizing Flows

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Deep Residual Learning for Image Recognition

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference P., Gioia, I

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Likelihood-free inference with neural compression of DES SV weak lensing map statistics

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 1986, Monthly Notices of the Royal Astronomical Society, 222, 323, publisher: OUP ADS Bibcode: 1986MNRAS.222..323K

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2024, The cosmological analy- sis of X-ray cluster surveys: VI

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Hybrid Physical-Neural ODEs for Fast N-body Simulations

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Optimal Neural Summarisation for Full-Field Weak Lensing Cosmological Implicit Inference

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Zooming by in the CARPoolGP lane: new CAMELS-TNG simulations of zoomed-in massive halos

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Cosmology with the SKA -- overview

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference W., Rapetti, D., & Ebeling, H

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference B., Allen, S

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference J., Giles, P

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Quantifying Baryonic Feedback on Warm-Hot Circumgalactic Medium in CAMELS Simulations

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The Hot and Energetic Universe: A White Paper presenting the science theme motivating the Athena+ mission

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2019, Computational Astrophysics and Cosmology, 6, 2

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2023, The Astrophysical Journal, 959, 136, publisher: The American Astronomical Society

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Agora: Multi-Component Simulation for Cross-Survey Science

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The XXL Survey XXV. Cosmological analysis of the C1 cluster number counts

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The XMM Large Scale Structure survey: The X-ray pipeline and survey selection function

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Fast $\epsilon$-free Inference of Simulation Models with Bayesian Conditional Density Estimation

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference S., & White, M

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2016, Astronomy & Astrophysics, 592, A1, publisher: EDP Sciences

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Simulating Galaxy Formation with the IllustrisTNG Model

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Sunyaev-Zel'dovich effect and X-ray scaling relations of galaxies, groups and clusters in the IllustrisTNG simulations

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2021, Astronomy & Astrophysics, 647, A1, publisher: EDP Sciences

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Galaxy cluster count cosmology with simulation-based inference

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Variational Inference with Normalizing Flows

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant

Reference 52

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The Design and Integrated Performance of SPT-3G

Reference 53

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2020, Journal of Open Source Software, 5, 2505, publisher: The Open Journal

Reference 54

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference An Exploration of AGN and Stellar Feedback Effects in the Intergalactic Medium via the Low Redshift Lyman-$\alpha$ Forest

Reference 55

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Toward a halo mass function for precision cosmology: the limits of universality

Reference 56

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Correlations between supermassive black holes and hot gas atmospheres in IllustrisTNG and X-ray observations

Reference 57

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Chandra Cluster Cosmology Project III: Cosmological Parameter Constraints

Reference 58

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2021, The Astro- physical Journal, 915, 71, publisher: The American Astronomical Society

Reference 59

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence

Reference 60

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The CAMELS project: public data release

Reference 61

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Unresolved cited work

Reference 62

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Extracting cosmological information from the abundance of galaxy clusters with simulation-based inference

Reference 63

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The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 1933, Helvetica Physica Acta, V ol

Reference 64

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