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Backlighting extended gas halos around luminous red galaxies: Kinematic Sunyaev-Zel’dovich effect from DESI Y1 and ACT data
Bernardita Ried Guachalla, Emmanuel Schaan, Boryana Hadzhiyska, Simone Ferraro, Jessica N. Aguilar, Steven Ahlen, Nicholas Battaglia, Davide Bianchi, Richard Bond, David Brooks, Todd Claybaugh, William R. Coulton, Axel de la Macorra, Mark J. Devlin, Arjun Dey, Peter Doel, Jo Dunkley, Kevin Fanning, Jaime Forero-Romero, Enrique Gaztañaga, Satya Gontcho A. Gontcho, Gaston Gutierrez, Julien Guy, J. Colin Hill, Klaus Honscheid, et al. Physical Review D 112(10) (2025) https://doi.org/10.1103/lqbj-wcqj
On the capability of high redshift kSZ measurement with galaxy surveys
Comparison of models for the warm-hot circumgalactic medium around Milky Way-like galaxies
Priyanka Singh, Erwin T Lau, Yakov Faerman, Jonathan Stern and Daisuke Nagai Monthly Notices of the Royal Astronomical Society 532(3) 3222 (2024) https://doi.org/10.1093/mnras/stae1695
Estimation of line-of-sight velocities of individual galaxies using neural networks – I. Modelling redshift–space distortions at large scales
Hongxiang Chen, Jie Wang, Tianxiang Mao, Juntao Ma, Yuxi Meng, Baojiu Li, Yan-Chuan Cai, Mark Neyrinck, Bridget Falck and Alexander S Szalay Monthly Notices of the Royal Astronomical Society 532(4) 3947 (2024) https://doi.org/10.1093/mnras/stae1682
Pairwise kinematic Sunyaev-Zel’dovich signal extraction efficacy and optical depth estimation
Yulin Gong, Rachel Bean, Patricio A. Gallardo, Eve M. Vavagiakis, Nicholas Battaglia and Michael Niemack Physical Review D 109(2) (2024) https://doi.org/10.1103/PhysRevD.109.023513
Kinematic Sunyaev-Zel′dovich pairwise velocity reconstruction with machine learning
Kinematic Sunyaev-Zel’dovich effect with ACT, DES, and BOSS: A novel hybrid estimator
M. Mallaby-Kay, S. Amodeo, J. C. Hill, M. Aguena, S. Allam, O. Alves, J. Annis, N. Battaglia, E. S. Battistelli, E. J. Baxter, K. Bechtol, M. R. Becker, E. Bertin, J. R. Bond, D. Brooks, E. Calabrese, A. Carnero Rosell, M. Carrasco Kind, J. Carretero, A. Choi, M. Crocce, L. N. da Costa, M. E. S. Pereira, J. De Vicente, S. Desai, et al. Physical Review D 108(2) (2023) https://doi.org/10.1103/PhysRevD.108.023516
Subtracting the kinetic Sunyaev-Zeldovich effect from the cosmic microwave background with surveys of large-scale structure
Simon Foreman, Selim C. Hotinli, Mathew S. Madhavacheril, Alexander van Engelen and Christina D. Kreisch Physical Review D 107(8) (2023) https://doi.org/10.1103/PhysRevD.107.083502
Large-scale density and velocity field reconstructions with neural networks
Punyakoti Ganeshaiah Veena, Robert Lilow and Adi Nusser Monthly Notices of the Royal Astronomical Society 522(4) 5291 (2023) https://doi.org/10.1093/mnras/stad1222
Inference of the optical depth to reionization τ from Planck CMB maps with convolutional neural networks
The Circumgalactic Medium from the CAMELS Simulations: Forecasting Constraints on Feedback Processes from Future Sunyaev–Zeldovich Observations
Emily Moser, Nicholas Battaglia, Daisuke Nagai, Erwin Lau, Luis Fernando Machado Poletti Valle, Francisco Villaescusa-Navarro, Stefania Amodeo, Daniel Anglés-Alcázar, Greg L. Bryan, Romeel Dave, Lars Hernquist and Mark Vogelsberger The Astrophysical Journal 933(2) 133 (2022) https://doi.org/10.3847/1538-4357/ac70c6