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Euclid preparation

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Galaxy Spectroscopy without Spectra: Galaxy Properties from Photometric Images with Conditional Diffusion Models

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Wasserstein distance as a new tool for discriminating cosmologies through the topology of large-scale structure

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Preliminary Study of Photometric Redshifts Based on the Wide Field Survey Telescope

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The Astrophysical Journal 950 (2) 189 (2023)
https://doi.org/10.3847/1538-4357/acd10c

The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning

L. Cabayol, M. Eriksen, J. Carretero, et al.
Astronomy & Astrophysics 671 A153 (2023)
https://doi.org/10.1051/0004-6361/202245027

Improving machine learning-derived photometric redshifts and physical property estimates using unlabelled observations

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Monthly Notices of the Royal Astronomical Society 520 (1) 305 (2023)
https://doi.org/10.1093/mnras/stac3596

Photometric redshift estimation of quasars with fused features from photometric data and images

Lin Yao, Bo Qiu, A-Li Luo, Jianwei Zhou, Kuang Wu, Xiao Kong, Yuanbo Liu, Guiyu Zhao and Kun Wang
Monthly Notices of the Royal Astronomical Society 523 (4) 5799 (2023)
https://doi.org/10.1093/mnras/stad1842

Stellar Karaoke: deep blind separation of terrestrial atmospheric effects out of stellar spectra by velocity whitening

Nima Sedaghat, Brianna M Smart, J Bryce Kalmbach, Erin L Howard and Hamidreza Amindavar
Monthly Notices of the Royal Astronomical Society 526 (1) 1559 (2023)
https://doi.org/10.1093/mnras/stad2686

The miniJPAS survey quasar selection – II. Machine learning classification with photometric measurements and uncertainties

Natália V N Rodrigues, L Raul Abramo, Carolina Queiroz, Ginés Martínez-Solaeche, Ignasi Pérez-Ràfols, Silvia Bonoli, Jonás Chaves-Montero, Matthew M Pieri, Rosa M González Delgado, Sean S Morrison, Valerio Marra, Isabel Márquez, A Hernán-Caballero, L A Díaz-García, Narciso Benítez, A Javier Cenarro, Renato A Dupke, Alessandro Ederoclite, Carlos López-Sanjuan, Antonio Marín-Franch, Claudia Mendes de Oliveira, Mariano Moles, Laerte Sodré, Jesús Varela, Héctor Vázquez Ramió and Keith Taylor
Monthly Notices of the Royal Astronomical Society 520 (3) 3494 (2023)
https://doi.org/10.1093/mnras/stac2836

The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae

P. D. Aleo, K. Malanchev, S. Sharief, D. O. Jones, G. Narayan, R. J. Foley, V. A. Villar, C. R. Angus, V. F. Baldassare, M. J. Bustamante-Rosell, D. Chatterjee, C. Cold, D. A. Coulter, K. W. Davis, S. Dhawan, M. R. Drout, A. Engel, K. D. French, A. Gagliano, C. Gall, J. Hjorth, M. E. Huber, W. V. Jacobson-Galán, C. D. Kilpatrick, D. Langeroodi, et al.
The Astrophysical Journal Supplement Series 266 (1) 9 (2023)
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High-fidelity reproduction of central galaxy joint distributions with neural networks

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Monthly Notices of the Royal Astronomical Society 522 (3) 3236 (2023)
https://doi.org/10.1093/mnras/stad1186

AutoSourceID-FeatureExtractor

F. Stoppa, R. Ruiz de Austri, P. Vreeswijk, S. Bhattacharyya, S. Caron, S. Bloemen, G. Zaharijas, G. Principe, V. Vodeb, P. J. Groot, E. Cator and G. Nelemans
Astronomy & Astrophysics 680 A108 (2023)
https://doi.org/10.1051/0004-6361/202346983

Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning

Helen Qu and Masao Sako
The Astrophysical Journal 954 (2) 201 (2023)
https://doi.org/10.3847/1538-4357/aceafa

CNN photometric redshifts in the SDSS at r ≤ 20

M Treyer, R Ait Ouahmed, J Pasquet, S Arnouts, E Bertin and D Fouchez
Monthly Notices of the Royal Astronomical Society 527 (1) 651 (2023)
https://doi.org/10.1093/mnras/stad3171

Data-driven templates with dictionary learning and sparse representations for photometric redshift estimation

J. Frontera-Pons, F. Sureau, J. Bobin and M. Kilbinger
Astronomy and Computing 44 100735 (2023)
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The Dawes Review 10: The impact of deep learning for the analysis of galaxy surveys

M. Huertas-Company and F. Lanusse
Publications of the Astronomical Society of Australia 40 (2023)
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Identification of Blue Horizontal Branch Stars with Multimodal Fusion

Jiaqi Wei, Bin Jiang and Yanxia Zhang
Publications of the Astronomical Society of the Pacific 135 (1050) 084501 (2023)
https://doi.org/10.1088/1538-3873/acea43

Photometric identification of compact galaxies, stars, and quasars using multiple neural networks

Siddharth Chaini, Atharva Bagul, Anish Deshpande, Rishi Gondkar, Kaushal Sharma, M Vivek and Ajit Kembhavi
Monthly Notices of the Royal Astronomical Society 518 (2) 3123 (2022)
https://doi.org/10.1093/mnras/stac3336

Photometric redshifts from SDSS images with an interpretable deep capsule network

Biprateep Dey, Brett H Andrews, Jeffrey A Newman, Yao-Yuan Mao, Markus Michael Rau and Rongpu Zhou
Monthly Notices of the Royal Astronomical Society 515 (4) 5285 (2022)
https://doi.org/10.1093/mnras/stac2105

Photometric redshift estimation with convolutional neural networks and galaxy images: Case study of resolving biases in data-driven methods

Q. Lin, D. Fouchez, J. Pasquet, et al.
Astronomy & Astrophysics 662 A36 (2022)
https://doi.org/10.1051/0004-6361/202142751