Copertina

A Sparse Gaussian Process Framework for Photometric Redshift Estimation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Almosallam, Ibrahim A., Lindsay, Sam N., Jarvis, Matt J., Roberts, Stephen J.
Natura:	Preprint
Pubblicazione:	2015
Soggetti:	Instrumentation and Methods for Astrophysics Astrophysics of Galaxies Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

GPz: Non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts
di: Almosallam, Ibrahim A., et al.
Pubblicazione: (2016)

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

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

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

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

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

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

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

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

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

CSST Strong Lensing Preparation: a Framework for Detecting Strong Lenses in the Multi-color Imaging Survey by the China Survey Space Telescope (CSST)
di: Li, Xu, et al.
Pubblicazione: (2024)

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

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

Automated Identification and Segmentation of Hi Sources in CRAFTS Using Deep Learning Method
di: Song, Zihao, et al.
Pubblicazione: (2024)

From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption
di: Ye, Renhao, et al.
Pubblicazione: (2024)

Investigation on deep learning-based galaxy image translation models
di: Ruan, Hengxin, et al.
Pubblicazione: (2025)

Bayesian Deconvolution of Astronomical Images with Diffusion Models: Quantifying Prior-Driven Features in Reconstructions
di: Spagnoletti, Alessio, et al.
Pubblicazione: (2024)

Gnuastro: visualizing the full dynamic range in color images
di: Infante-Sainz, Raúl, et al.
Pubblicazione: (2024)

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

DeepDISC-Euclid: Source Classification and Photometric Redshifts in Euclid Deep Field North With a Pixel-Level Deep Learning Approach
di: Jiang, Yuanzhe, et al.
Pubblicazione: (2026)

Reducing false positives in strong lens detection through effective augmentation and ensemble learning
di: Rezaei, Samira, et al.
Pubblicazione: (2025)

Interpreting deep learning-based stellar mass estimation via causal analysis and mutual information decomposition
di: Zhang, Wei, et al.
Pubblicazione: (2025)

Disentangling the Black Hole Mass Spectrum with Photometric Microlensing Surveys
di: Perkins, Scott Ellis, et al.
Pubblicazione: (2023)

AstroMAE: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-Tuning Architecture
di: Fathkouhi, Amirreza Dolatpour, et al.
Pubblicazione: (2024)

The Redshifts from 122 Bands: Comparative Redshift Forecast for Low-Resolution Spectra from SPHEREx and 7-Dimensional Sky Survey (7DS)
di: Bae, Jangho, et al.
Pubblicazione: (2025)

Mining for Protoclusters at $z\sim4$ from Photometric Datasets with Deep Learning
di: Takeda, Yoshihiro, et al.
Pubblicazione: (2024)

PyTICS: An Iterative Method for Photometric Lightcurve Intercalibration using Comparison Stars
di: Vieliute, Roberta, et al.
Pubblicazione: (2025)

Flexible Simulation Based Inference for Galaxy Photometric Fitting with Synthesizer
di: Harvey, Thomas, et al.
Pubblicazione: (2025)

Gaussian Process Methods for Very Large Astrometric Data Sets
di: Hapitas, Timothy, et al.
Pubblicazione: (2025)

High-Redshift Gravitational Lens Discoveries in JWST NIRCam Using AnomalyMatch
di: Dima, Julia, et al.
Pubblicazione: (2026)

Photometric Super-Resolution for Improving Galaxy Morphological Measurements using Conditional Generative Adversarial Networks
di: Kahn, Samuel, et al.
Pubblicazione: (2026)

Photometric Mapping of Carbonaceous/Siliceous Dust and Water Ice in the ISM with JWST: Applications to the Dense Sightlines
di: Günay, Burcu, et al.
Pubblicazione: (2025)

Photometric redshift estimation for emission line galaxies of DESI Legacy Imaging Surveys by CNN-MLP
di: Wei, Shirui, et al.
Pubblicazione: (2025)

Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions
di: Zhong, Fucheng, et al.
Pubblicazione: (2023)

PI-AstroDeconv: A Physics-Informed Unsupervised Learning Method for Astronomical Image Deconvolution
di: Ni, Shulei, et al.
Pubblicazione: (2024)

RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey
di: Gupta, Nikhel, et al.
Pubblicazione: (2024)

Beyond Colors: Probing Redshifts from Galaxy Morphology in Single-band Images with ViT-MDNz
di: Luo, Zhijian, et al.
Pubblicazione: (2026)

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

SpecPT (Spectroscopy Pre-trained Transformer) Model for Extragalactic Spectroscopy: I. Architecture and Automated Redshift Measurement
di: Pattnaik, Rohan, et al.
Pubblicazione: (2025)

Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis
di: Swierc, Paxson, et al.
Pubblicazione: (2024)