Imagen de Portada

Photometric Redshift Predictions with a Neural Network for DESI Quasars

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Moss, Jeremy P., Curran, Stephen J., Perrott, Yvette C.
Formato:	Preprint
Publicado:	2025
Materias:	Astrophysics of Galaxies
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

VAR-PZ: Constraining the Photometric Redshifts of Quasars using Variability
por: Satheesh-Sheeba, S., et al.
Publicado: (2025)

Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR
por: Zhou, Xingchen, et al.
Publicado: (2024)

Photometric Redshift PDFs via Neural Network Classification for DESI Legacy Imaging Surveys and Pan-STARRS
por: Tian, Da-Chuan, et al.
Publicado: (2026)

LSTM-MDNz: Estimating Quasar Photometric Redshifts with an LSTM-Augmented Mixture Density Network
por: Chen, Jianzhen, et al.
Publicado: (2025)

DESI Mg II Absorbers: Extinction Characteristics & Quasar Redshift Accuracy
por: Napolitano, Lucas, et al.
Publicado: (2024)

Photometric Redshift Estimation for CSST Survey with LSTM Neural Networks
por: Luo, Zhijian, et al.
Publicado: (2024)

Identifying Galaxy Cluster Mergers with Deep Neural Networks using Idealized Compton-y and X-ray maps
por: Arendt, Ashleigh R., et al.
Publicado: (2024)

Imputation of Missing Photometric Data and Photometric Redshift Estimation for CSST
por: Luo, Zhijian, et al.
Publicado: (2024)

Transferability of Photometric Redshifts Determined using Machine Learning
por: Janiurek, Lara, et al.
Publicado: (2024)

Photometric Redshift Estimation for Rubin Observatory Data Preview 1 with Redshift Assessment Infrastructure Layers (RAIL)
por: Zhang, T., et al.
Publicado: (2025)

Optimizing Photometric Redshift Training Sets I: Efficient Compression of the Galaxy Color-Redshift Relation with UMAP
por: Ashmead, Finian, et al.
Publicado: (2025)

Photometric Redshift Forecast for 7-Dimensional Sky Survey
por: Ko, Eunhee, et al.
Publicado: (2025)

Identifying Quasars from the DESI Bright Galaxy Survey
por: Juneau, S., et al.
Publicado: (2024)

A Sparse Gaussian Process Framework for Photometric Redshift Estimation
por: Almosallam, Ibrahim A., et al.
Publicado: (2015)

Morpho-Photometric Classification of KiDS DR5 Sources Based on Neural Networks: A Comprehensive Star-Quasar-Galaxy Catalog
por: Feng, Hai-Cheng, et al.
Publicado: (2024)

Starkindler: An Uncertainty Aware Objective for Photometric Redshift Estimation
por: Singh, Raahul, et al.
Publicado: (2025)

Photometric Objects Around Cosmic Webs (PAC). VI. High Satellite Fraction of Quasars
por: Gui, Shanquan, et al.
Publicado: (2023)

PICZL: Image-based Photometric Redshifts for AGN
por: Roster, William, et al.
Publicado: (2024)

Photometric stellar masses for galaxies in DESI Legacy Imaging Surveys
por: Ebrová, Ivana, et al.
Publicado: (2025)

The FENIKS Survey: Multi-wavelength Photometric Catalog in the UDS Field, and Catalogs of Photometric Redshifts and Stellar Population Properties
por: Zaidi, Kumail, et al.
Publicado: (2024)

Quasars acting as Strong Lenses Found in DESI DR1
por: McArthur, Everett, et al.
Publicado: (2025)

Quasar absorption outflows on galactic scales: Insights from DESI
por: Dehghanian, Maryam, et al.
Publicado: (2025)

Performance of Photometric Template Fitting for Ultra-High Redshift Galaxies
por: Clausen, Thorbjørn, et al.
Publicado: (2024)

Inhomogeneous Dust Biases Photometric Redshifts and Stellar Masses for LSST
por: Hahn, ChangHoon, et al.
Publicado: (2024)

The Light Echo of a High-Redshift Quasar mapped with Lyman-$α$ Tomography
por: Eilers, Anna-Christina, et al.
Publicado: (2025)

Direct power spectral density estimation from structure functions without Fourier transforms
por: Bishop, Mark A., et al.
Publicado: (2026)

Exploring the Spectral Energy Distributions of Luminous Broad Absorption Line Quasars at High Redshift
por: Ahmed, Harum, et al.
Publicado: (2025)

Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts
por: Tortorelli, Luca, et al.
Publicado: (2026)

Learning Spectral Templates for Photometric Redshift Estimation from Broadband Photometry
por: Crenshaw, John Franklin, et al.
Publicado: (2020)

Deep Learning Improves Photometric Redshifts in All Regions of Color Space
por: Moran, Emma R., et al.
Publicado: (2025)

The first identification of Lyman $α$ Changing-look Quasars at high-redshift in DESI
por: Guo, Wei-Jian, et al.
Publicado: (2024)

Quasar Outflow Deceleration or Acceleration: Predictions and a Search
por: Hall, Patrick B., et al.
Publicado: (2024)

Optimizing Deep Learning Photometric Redshifts for the Roman Space Telescope with HST/CANDELS
por: Khederlarian, Ashod, et al.
Publicado: (2026)

Kinematic Distortions of the High-Redshift Universe as Seen from Quasar Proper Motions
por: Makarov, Valeri V.
Publicado: (2025)

On the Physical Nature of Ly$α$ Transmission Spikes in High Redshift Quasar Spectra
por: Zhu, Hanjue, et al.
Publicado: (2024)

Iron-corrected Single-epoch Black Hole Masses of DESI Quasars at low redshift
por: Pan, Zhiwei, et al.
Publicado: (2025)

Growth of High-Redshift Quasars from Fermion Dark Matter Seeds
por: Wang, Yu, et al.
Publicado: (2026)

Photometric Completeness Modelled With Neural Networks
por: Harris, William E., et al.
Publicado: (2024)

CircleZ: Reliable Photometric redshifts for AGN computed using only photometry from Legacy Survey Imaging for DESI
por: Saxena, A., et al.
Publicado: (2024)

ColdPress: Efficient Quantile-Based Compression of Photometric Redshift PDFs
por: Hernán-Caballero, Antonio
Publicado: (2025)