Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$α$ forest
Fuente:
arXiv
Guardado en:
| Autor principal: | Chaves-Montero, Jonás |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Machine Learning Techniques for Astrophysics and Cosmology: Simulation-Based Inference
por: Thiele, Leander
Publicado: (2026)
por: Thiele, Leander
Publicado: (2026)
Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts
por: Tortorelli, Luca, et al.
Publicado: (2026)
por: Tortorelli, Luca, et al.
Publicado: (2026)
Forecast Cosmological Constraints with the 1D Wavelet Scattering Transform and the Lyman-$α$ forest
por: Tohfa, Hurum Maksora, et al.
Publicado: (2023)
por: Tohfa, Hurum Maksora, et al.
Publicado: (2023)
Modeling the Cosmological Lyman-$α$ Forest at the Field Level
por: de Belsunce, Roger, et al.
Publicado: (2025)
por: de Belsunce, Roger, et al.
Publicado: (2025)
Optimal data compression for Lyman-$α$ forest cosmology
por: Gerardi, Francesca, et al.
Publicado: (2023)
por: Gerardi, Francesca, et al.
Publicado: (2023)
The effects of continuum fitting on Lyman-$α$ forest correlations
por: Busca, Nicolas, et al.
Publicado: (2025)
por: Busca, Nicolas, et al.
Publicado: (2025)
Synthetic spectra for Lyman-$α$ forest analysis in the Dark Energy Spectroscopic Instrument
por: Herrera-Alcantar, Hiram K., et al.
Publicado: (2023)
por: Herrera-Alcantar, Hiram K., et al.
Publicado: (2023)
ForestFlow: predicting the Lyman-$α$ forest clustering from linear to nonlinear scales
por: Chaves-Montero, J., et al.
Publicado: (2024)
por: Chaves-Montero, J., et al.
Publicado: (2024)
Covariance matrices for the Lyman-$α$ forest using the lognormal approximation
por: Arya, Bhaskar, et al.
Publicado: (2023)
por: Arya, Bhaskar, et al.
Publicado: (2023)
Mock data sets for the Eboss and DESI Lyman-$α$ forest surveys
por: Etourneau, Thomas, et al.
Publicado: (2023)
por: Etourneau, Thomas, et al.
Publicado: (2023)
First measurement of the correlation between cosmic voids and the Lyman-$α$ forest
por: Ravoux, Corentin, et al.
Publicado: (2022)
por: Ravoux, Corentin, et al.
Publicado: (2022)
The Lyman-$α$ forest catalog from the Dark Energy Spectroscopic Instrument Early Data Release
por: Ramírez-Pérez, César, et al.
Publicado: (2023)
por: Ramírez-Pérez, César, et al.
Publicado: (2023)
Calibrating redshift distributions at $z>2$ with Lyman-$α$ forest cross-correlations
por: Hang, Qianjun, et al.
Publicado: (2026)
por: Hang, Qianjun, et al.
Publicado: (2026)
One-dimensional power spectrum from first DESI Lyman-α forest
por: Ravoux, Corentin
Publicado: (2024)
por: Ravoux, Corentin
Publicado: (2024)
Particle initialization effects on Lyman-$α$ forest statistics in cosmological SPH simulations
por: Khan, Nabendu Kumar, et al.
Publicado: (2023)
por: Khan, Nabendu Kumar, et al.
Publicado: (2023)
Measurement of the small-scale 3D Lyman-$α$ forest power spectrum
por: Abdul-Karim, Marie Lynn, et al.
Publicado: (2023)
por: Abdul-Karim, Marie Lynn, et al.
Publicado: (2023)
Weighted FFT estimators for 1D and 3D correlations of the Lyman-$α$ forest
por: Lokken, Martine, et al.
Publicado: (2025)
por: Lokken, Martine, et al.
Publicado: (2025)
Cosmological Constraints from the eBOSS Lyman-$α$ Forest using the PRIYA Simulations
por: Fernandez, M. A., et al.
Publicado: (2023)
por: Fernandez, M. A., et al.
Publicado: (2023)
The Lyman-$α$ Forest from LBGs: First 3D Correlation Measurement with DESI and Prospects for Cosmology
por: Herrera-Alcantar, Hiram K., et al.
Publicado: (2025)
por: Herrera-Alcantar, Hiram K., et al.
Publicado: (2025)
Probing the limits of cosmological information from the Lyman-$α$ forest 2-point correlation functions
por: Turner, Wynne, et al.
Publicado: (2025)
por: Turner, Wynne, et al.
Publicado: (2025)
Modelling the impact of quasar redshift errors on the full-shape analysis of correlations in the Lyman-$α$ forest
por: Gordon, Calum, et al.
Publicado: (2025)
por: Gordon, Calum, et al.
Publicado: (2025)
Weighing neutrinos with Lyman-$α$ observations
por: Sarkar, Anjan K., et al.
Publicado: (2023)
por: Sarkar, Anjan K., et al.
Publicado: (2023)
Ly$α$NNA: A Deep Learning Field-level Inference Machine for the Lyman-$α$ Forest
por: Nayak, Parth, et al.
Publicado: (2023)
por: Nayak, Parth, et al.
Publicado: (2023)
Mitigating Astrophysical Uncertainties in 21-cm Cosmology
por: Katz, Omer Zvi
Publicado: (2024)
por: Katz, Omer Zvi
Publicado: (2024)
The Dark Energy Spectroscopic Instrument: One-dimensional power spectrum from first Lyman-$α$ forest samples with Fast Fourier Transform
por: Ravoux, Corentin, et al.
Publicado: (2023)
por: Ravoux, Corentin, et al.
Publicado: (2023)
An improved model for the effect of correlated Si-III absorption on the one-dimensional Lyman-$α$ forest power spectrum
por: Ma, Ke, et al.
Publicado: (2025)
por: Ma, Ke, et al.
Publicado: (2025)
Lyman-$α$ forest power spectrum and its cross-correlation with dark matter halos in different astrophysical models
por: Nakashima, Koichiro, et al.
Publicado: (2024)
por: Nakashima, Koichiro, et al.
Publicado: (2024)
Lya2pcf: an efficient pipeline to estimate two- and three-point correlation functions of the Lyman-$α$ forest
por: De-Santiago, Josue, et al.
Publicado: (2025)
por: De-Santiago, Josue, et al.
Publicado: (2025)
New measurements of the Lyman-$α$ forest continuum and effective optical depth with LyCAN and DESI Y1 data
por: Turner, Wynne, et al.
Publicado: (2024)
por: Turner, Wynne, et al.
Publicado: (2024)
On the dependence of galaxy assembly bias on the selection criteria, number density, and redshift of galaxy samples
por: García-Moreno, Sergio, et al.
Publicado: (2025)
por: García-Moreno, Sergio, et al.
Publicado: (2025)
Characterization of contaminants in the Lyman-alpha forest auto-correlation with DESI
por: Guy, J., et al.
Publicado: (2024)
por: Guy, J., et al.
Publicado: (2024)
Damping wings in the Lyman-α forest: a model-independent measurement of the neutral fraction at 5.4<z<6.1
por: Spina, Benedetta, et al.
Publicado: (2024)
por: Spina, Benedetta, et al.
Publicado: (2024)
Joint Modelling of Astrophysical Systematics for Cosmology with LSST Cosmic Shear
por: Šarčević, Nikolina, et al.
Publicado: (2024)
por: Šarčević, Nikolina, et al.
Publicado: (2024)
Cosmological analysis of the DESI DR1 Lyman alpha 1D power spectrum
por: Chaves-Montero, J., et al.
Publicado: (2026)
por: Chaves-Montero, J., et al.
Publicado: (2026)
Learning the Universe: Cosmological and Astrophysical Parameter Inference with Galaxy Luminosity Functions and Colours
por: Lovell, Christopher C., et al.
Publicado: (2024)
por: Lovell, Christopher C., et al.
Publicado: (2024)
Probing patchy reionisation with JWST: IGM opacity constraints from the Lyman-$α$ forest of galaxies in legacy extragalactic fields
por: Meyer, Romain A., et al.
Publicado: (2025)
por: Meyer, Romain A., et al.
Publicado: (2025)
Human vs. machine -- 1:3. Joint analysis of classical and ML-based summary statistics of the Lyman-$α$ forest
por: Chang, S., et al.
Publicado: (2025)
por: Chang, S., et al.
Publicado: (2025)
The ACCEL$^2$ project: simulating Lyman-$α$ forest in large-volume hydrodynamical simulations
por: Chabanier, Solène, et al.
Publicado: (2024)
por: Chabanier, Solène, et al.
Publicado: (2024)
Analytic compression of the effective field theory of the Lyman-alpha forest
por: Karaçaylı, N. G., et al.
Publicado: (2026)
por: Karaçaylı, N. G., et al.
Publicado: (2026)
Neural network emulator to constrain the high-$z$ IGM thermal state from Lyman-$α$ forest flux auto-correlation function
por: Jin, Zhenyu, et al.
Publicado: (2024)
por: Jin, Zhenyu, et al.
Publicado: (2024)
Ejemplares similares
-
Machine Learning Techniques for Astrophysics and Cosmology: Simulation-Based Inference
por: Thiele, Leander
Publicado: (2026) -
Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts
por: Tortorelli, Luca, et al.
Publicado: (2026) -
Forecast Cosmological Constraints with the 1D Wavelet Scattering Transform and the Lyman-$α$ forest
por: Tohfa, Hurum Maksora, et al.
Publicado: (2023) -
Modeling the Cosmological Lyman-$α$ Forest at the Field Level
por: de Belsunce, Roger, et al.
Publicado: (2025) -
Optimal data compression for Lyman-$α$ forest cosmology
por: Gerardi, Francesca, et al.
Publicado: (2023)