Copertina

Hybrid-bias and displacement emulators for field-level modelling of galaxy clustering in real and redshift space

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ibanez, Marcos Pellejero, Angulo, Raul E., Jamieson, Drew, Li, Yin
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Cosmology and Nongalactic Astrophysics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Cosmological constraints from the full-shape galaxy power spectrum in SDSS-III BOSS using the BACCO hybrid Lagrangian bias emulator
di: Ibáñez, Marcos Pellejero, et al.
Pubblicazione: (2024)

Probabilistic Lagrangian bias estimators and the cumulant bias expansion
di: Stücker, Jens, et al.
Pubblicazione: (2024)

Gaussian Lagrangian Galaxy Bias
di: Stücker, Jens, et al.
Pubblicazione: (2024)

HYMALAIA: A Hybrid Lagrangian Model for Intrinsic Alignments
di: Maion, Francisco, et al.
Pubblicazione: (2023)

Modelling the redshift-space cluster-galaxy correlation function on Mpc scales with emulation of the pairwise velocity distribution
di: Robertson, Andrew, et al.
Pubblicazione: (2024)

Characterizing Structure Formation through Instance Segmentation
di: López-Cano, Daniel, et al.
Pubblicazione: (2023)

Boosting galaxy clustering analyses with non-perturbative modelling of redshift-space distortions
di: Eggemeier, Alexander, et al.
Pubblicazione: (2025)

Web-Halo Model (WHM): Accurate non-linear matter power spectrum predictions without free parameters
di: Brieden, Samuel, et al.
Pubblicazione: (2025)

Scale-dependent bias and mode coupling in redshift-space clustering near the BAO scale
di: Paranjape, Aseem, et al.
Pubblicazione: (2025)

SHAMe-SF: Predicting the clustering of star-forming galaxies with an enhanced abundance matching model
di: Ortega-Martinez, Sara, et al.
Pubblicazione: (2024)

Cosmological inference with halo clustering reconstructed from the redshift-space galaxy distribution
di: Hada, Ryuichiro, et al.
Pubblicazione: (2026)

Cosmological constraints from galaxy clustering and galaxy-galaxy lensing with extended SubHalo Abundance Matching
di: Mahony, Constance, et al.
Pubblicazione: (2025)

Galaxy assembly bias in cosmological hydrodynamical simulations: a comparison between SIMBA and IllustrisTNG
di: Yang, Hong-Gang, et al.
Pubblicazione: (2025)

Reconstructing redshift distributions with photometric galaxy clustering
di: Peng, Hui, et al.
Pubblicazione: (2024)

Methodological refinement of the submillimeter galaxy magnification bias. I. Cosmological analysis with a single redshift bin
di: Cueli, Marcos M., et al.
Pubblicazione: (2023)

High-redshift Millennium and Astrid galaxies in effective field theory at the field level
di: Sullivan, James M., et al.
Pubblicazione: (2025)

A comparison of effective field theory models of redshift space galaxy power spectra for DESI 2024 and future surveys
di: Maus, M., et al.
Pubblicazione: (2024)

On the dependence of galaxy assembly bias on the selection criteria, number density, and redshift of galaxy samples
di: García-Moreno, Sergio, et al.
Pubblicazione: (2025)

Slow neutrinos: non-linearity and momentum-space emulation
di: Upadhye, Amol, et al.
Pubblicazione: (2025)

The Three Hundred Project: A fast semi-analytic model emulator of hydrodynamical galaxy cluster simulations
di: Gómez, Jonathan S., et al.
Pubblicazione: (2025)

Forward analytical model for the optical selection bias on galaxy cluster lensing profiles
di: Costanzi, M., et al.
Pubblicazione: (2026)

Efficient computation of the galaxy angular bispectrum in redshift space
di: Gao, Zucheng, et al.
Pubblicazione: (2026)

Cosmic homogeneity: the effect of redshift-space distortions and bias and cosmological constraints
di: Shao, Xiaoyun, et al.
Pubblicazione: (2025)

Simulation-based inference of deep fields: galaxy population model and redshift distributions
di: Moser, Beatrice, et al.
Pubblicazione: (2024)

Signatures and bias assessment of rotation in galaxy cluster members
di: Castellani, Davide, et al.
Pubblicazione: (2025)

Probing gravity with non-linear clustering in redshift space
di: Viglione, C., et al.
Pubblicazione: (2025)

XMM-Newton observations of ten high-redshift CAMIRA clusters of galaxies
di: Ota, Naomi, et al.
Pubblicazione: (2026)

Euclid preparation. XXXIV. The effect of linear redshift-space distortions in photometric galaxy clustering and its cross-correlation with cosmic shear
di: Euclid Collaboration, et al.
Pubblicazione: (2023)

A field-level emulator for modeling baryonic effects across hydrodynamic simulations
di: Sharma, Divij, et al.
Pubblicazione: (2024)

How do uncertainties in galaxy formation physics impact field-level galaxy bias?
di: Shiferaw, Mahlet, et al.
Pubblicazione: (2024)

Field-level Emulation of Cosmic Structure Formation with Cosmology and Redshift Dependence
di: Jamieson, Drew, et al.
Pubblicazione: (2024)

Cosmic magnification on high-redshift submillimeter galaxies
di: Cueli, Marcos M., et al.
Pubblicazione: (2025)

Multi-scale weak lensing detection of galaxy clusters with source redshift tomography
di: Chappuis, L., et al.
Pubblicazione: (2026)

Calibrating optical galaxy cluster projection effects with sparse spectroscopic samples: A clustering redshift approach
di: Yang, Lei, et al.
Pubblicazione: (2026)

Euclid: Photometric redshift calibration with the clustering redshifts technique
di: d'Assignies, W., et al.
Pubblicazione: (2025)

Spherical bias on the 3D reconstruction of the ICM density profile in galaxy clusters
di: Veronesi, I., et al.
Pubblicazione: (2024)

Can Baryon Acoustic Oscillations Illuminate the Parity-Violating Galaxy 4PCF?
di: Hou, Jiamin, et al.
Pubblicazione: (2024)

Hydrostatic mass bias for galaxy groups and clusters in the FLAMINGO simulations
di: Braspenning, Joey, et al.
Pubblicazione: (2024)

The signature of major mergers on the hydrostatic mass bias of galaxy clusters
di: Barranco-Llorca, Isac, et al.
Pubblicazione: (2025)

A redshift survey of the nearby galaxy cluster Abell 2199 : No upturn of the faint-end slope of galaxy luminosity function
di: Park, Jong-In, et al.
Pubblicazione: (2026)