Teaching Neural Networks to Generate Fast Sunyaev–Zel’dovich Maps
Open accessAbstract
The thermal Sunyaev–Zel’dovich (tSZ) and the kinematic Sunyaev–Zel’dovich (kSZ) effects trace the distribution of electron pressure and momentum in the hot universe. These observables depend on rich multiscale physics, thus, simulated maps should ideally be based on calculations that capture baryonic feedback effects such as cooling, star formation, and other complex processes. In this paper, we train deep convolutional neural networks with a U-Net architecture to map from the three-dimensional distribution of dark matter to electron density, momentum, and pressure at ∼100 kpc resolution. These networks are trained on a combination of the TNG300 volume and a set of cluster zoom-in simulations from the IllustrisTNG project. The neural nets are able to reproduce the power spectrum, one-point probability distribution function, bispectrum, and cross-correlation coefficients of the simulations more accurately than the state-of-the-art semianalytical models. Our approach offers a route to capture the richness of a full cosmological hydrodynamical simulation of galaxy formation with the speed of an analytical calculation.
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Thiele et al. (2020) reported two significant challenges in learning the 3D mapping: sparsity of interesting voxels and high dynamic range of fields.
“This work reports two significant challenges in learning this mapping in 3D, one being the sparsity of interesting voxels (as in 3D most of the voxels are in empty regions), and the other being the high dynamic range of the fields to model.”
From The Dawes Review 10: The impact of deep learning for the analysis of galaxy surveys (2023) · cites this paper as Thiele et al. (2020)
Thiele et al. (2020) reported better agreement with reference simulations compared to semi-analytical models.
“Overall they report better agreement with the reference simulations compared to semi-analytical models.”
From The Dawes Review 10: The impact of deep learning for the analysis of galaxy surveys (2023) · cites this paper as Thiele et al. (2020)
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Generative Adversarial Networks
Cohen, G., & Giryes, R. (2021) · International Conference on Computing Communication and Networking Technologies · doi:10.1109/icccnt56998.2023.10306417 · Cited by 28,188 · see citing works
A Universal Density Profile from Hierarchical Clustering
Navarro, J. F., Frenk, C. S., & White, S. D. M. (1997) · The Astrophysical Journal · doi:10.1086/304888 · Cited by 9,917 · cited 1× · see citing works
“Given these masses (and redshift z = 0), we use the concentrationmass relation from Duffy et al. (2008) and the density profile from Navarro et al. (1997) to create the “synthetic” input data.”
MethodThe EAGLE project: simulating the evolution and assembly of galaxies and their environments
Schaye, J., Crain, R. A., Bower, R. G., Furlong, M., Schaller, M., Theuns, T., Dalla Vecchia, C., Frenk, C. S., McCarthy, I. G., Helly, J. C., et al. (2015) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stu2058 · Cited by 3,601 · cited 1× · see citing works
“Largescale simulation efforts have enabled direct comparison to microwave observations (Hallman et al. 2007b; Schäfer et al. 2006; Kay et al. 2012; Schaye et al. 2015; Dolag et al. 2016; Spacek et al. 2018; Nelson et al. 2019).”
BackgroundSimulating galaxy formation with the IllustrisTNG model
Pillepich, A., Springel, V., Nelson, D., Genel, S., Naiman, J., Pakmor, R., Hernquist, L., Torrey, P., Vogelsberger, M., Weinberger, R., et al. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx2656 · Cited by 2,007 · cited 3× · see citing works
“Data preparation For the majority of this work, we use the TNG300-1 (hydrodynamical) and TNG300-1 DM (gravityonly) z = 0 snapshots (Springel et al. 2018; Naiman et al. 2018; Nelson et al. 2018; Marinacci et al. 2018; Pillepich et al. 2018a; Nelson et al. 2019).”
MethodSelf-citationPillepich, A., Nelson, D., Hernquist, L., Springel, V., Pakmor, R., Torrey, P., Weinberger, R., Genel, S., Naiman, J., Marinacci, F., et al. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx3112 · Cited by 1,692 · cited 3× · see citing works
“Data preparation For the majority of this work, we use the TNG300-1 (hydrodynamical) and TNG300-1 DM (gravityonly) z = 0 snapshots (Springel et al. 2018; Naiman et al. 2018; Nelson et al. 2018; Marinacci et al. 2018; Pillepich et al. 2018a; Nelson et al. 2019).”
MethodSelf-citationFirst results from the IllustrisTNG simulations: the galaxy colour bimodality
Nelson, D., Pillepich, A., Springel, V., Weinberger, R., Hernquist, L., Pakmor, R., Genel, S., Torrey, P., Vogelsberger, M., Kauffmann, G., et al. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx3040 · Cited by 1,542 · cited 2× · see citing works
“Data preparation For the majority of this work, we use the TNG300-1 (hydrodynamical) and TNG300-1 DM (gravityonly) z = 0 snapshots (Springel et al. 2018; Naiman et al. 2018; Nelson et al. 2018; Marinacci et al. 2018; Pillepich et al. 2018a; Nelson et al. 2019).”
MethodSelf-citationSimulating galaxy formation with black hole driven thermal and kinetic feedback
Weinberger, R., Springel, V., Hernquist, L., Pillepich, A., Marinacci, F., Pakmor, R., Nelson, D., Genel, S., Vogelsberger, M., Naiman, J., et al. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw2944 · Cited by 1,254 · cited 1× · see citing works
“This approach will allow us to quickly generate tSZ and kSZ maps, over large areas of the sky, with the astrophysical model of the IllustrisTNG simulation (Weinberger et al. 2017; Pillepich et al. 2018b), but in comparatively negligible time (see the figures quoted in Section 6).”
MethodSelf-citationSmall-scale fluctuations of relic radiation
Sunyaev, R. A., & Zel’dovich, Y. B. (1970) · Astrophysics and Space Science · doi:10.1007/bf00653471 · Cited by 1,114 · see citing works
First results from the IllustrisTNG simulations: matter and galaxy clustering
Springel, V., Pakmor, R., Pillepich, A., Weinberger, R., Nelson, D., Hernquist, L., Vogelsberger, M., Genel, S., Torrey, P., Marinacci, F., et al. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx3304 · Cited by 1,065 · cited 2× · see citing works
“Data preparation For the majority of this work, we use the TNG300-1 (hydrodynamical) and TNG300-1 DM (gravityonly) z = 0 snapshots (Springel et al. 2018; Naiman et al. 2018; Nelson et al. 2018; Marinacci et al. 2018; Pillepich et al. 2018a; Nelson et al. 2019).”
MethodSelf-citationThe IllustrisTNG simulations: public data release
Nelson, D., Springel, V., Pillepich, A., Rodriguez-Gomez, V., Torrey, P., Genel, S., Vogelsberger, M., Pakmor, R., Marinacci, F., Weinberger, R., et al. (2018) · Computational Astrophysics and Cosmology · doi:10.1186/s40668-019-0028-x · Cited by 864 · cited 3× · see citing works
“Largescale simulation efforts have enabled direct comparison to microwave observations (Hallman et al. 2007b; Schäfer et al. 2006; Kay et al. 2012; Schaye et al. 2015; Dolag et al. 2016; Spacek et al. 2018; Nelson et al. 2019).”
BackgroundMethodSelf-citationDark matter halo concentrations in the Wilkinson Microwave Anisotropy Probe year 5 cosmology
Duffy, A., Schaye, J., Kay, S., & Vecchia, C. D. (2008) · Monthly Notices of the Royal Astronomical Society Letters · doi:10.1111/j.1745-3933.2008.00537.x · Cited by 765 · cited 1× · see citing works
“Given these masses (and redshift z = 0), we use the concentrationmass relation from Duffy et al. (2008) and the density profile from Navarro et al. (1997) to create the “synthetic” input data.”
MethodArnaud, M., Pratt, G. W., Piffaretti, R., Bohringer, H., Croston, J., & Pointecouteau, E. (2009) · Astronomy and Astrophysics · doi:10.1051/0004-6361/200913416 · Cited by 711 · cited 1× · see citing works
“…Le Brun et al. 2017; Gupta et al. 2017; Planelles et al. 2017; Mead et al. 2020), or observations (Afshordi et al. 2007; Atrio-Barandela et al. 2008; Arnaud et al. 2010; Chaudhuri & Majumdar 2011; Planck Collaboration et al. 2013; Zandanel et al. 2014; Le Brun et al. 2014; RamosCeja et al. 2015).”
BackgroundThe interaction of matter and radiation in a hot-model universe
Sunyaev, R., & Zeldovich, Y. (1969) · Astrophysics and Space Science · doi:10.1007/bf00661821 · Cited by 698 · see citing works
Naiman, J., Pillepich, A., Springel, V., Ramirez-Ruiz, E., Torrey, P., Vogelsberger, M., Pakmor, R., Nelson, D., Marinacci, F., Hernquist, L., et al. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty618 · Cited by 693 · cited 2× · see citing works
“Data preparation For the majority of this work, we use the TNG300-1 (hydrodynamical) and TNG300-1 DM (gravityonly) z = 0 snapshots (Springel et al. 2018; Naiman et al. 2018; Nelson et al. 2018; Marinacci et al. 2018; Pillepich et al. 2018a; Nelson et al. 2019).”
MethodSelf-citationFirst results from the IllustrisTNG simulations: radio haloes and magnetic fields
Marinacci, F., Vogelsberger, M., Pakmor, R., Torrey, P., Springel, V., Hernquist, L., Nelson, D., Weinberger, R., Pillepich, A., Naiman, J., et al. (2017) · Monthly notices of the Royal Astronomical Society · doi:10.1093/mnras/sty2206 · Cited by 680 · cited 2× · see citing works
“Data preparation For the majority of this work, we use the TNG300-1 (hydrodynamical) and TNG300-1 DM (gravityonly) z = 0 snapshots (Springel et al. 2018; Naiman et al. 2018; Nelson et al. 2018; Marinacci et al. 2018; Pillepich et al. 2018a; Nelson et al. 2019).”
MethodSelf-citationEffects of Galaxy Formation on Thermodynamics of the Intracluster Medium
Nagai, D., Kravtsov, A. V., & Vikhlinin, A. (2007) · The Astrophysical Journal · doi:10.1086/521328 · Cited by 536 · cited 1× · see citing works
“Later works investigated the effects of sub-grid physics (White et al. 2002; Nagai et al. 2007; Pfrommer et al. 2007; Sijacki et al. 2008; Battaglia et al. 2010).”
BackgroundThe Sunyaev-Zel'dovich angular power spectrum as a probe of cosmological parameters
Komatsu, E., & Seljak, U. (2002) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2002.05889.x · Cited by 350 · cited 1× · see citing works
“In order to more accurately describe the non-linear evolution, halo model approaches have been developed, starting from Komatsu & Kitayama (1999) and Komatsu & Seljak (2002).”
MethodAde, P., Aghanim, N., Arnaud, M., Ashdown, M., Atrio-Barandela, F., Aumont, J., Baccigalupi, C., Balbi, A., Banday, A., Barreiro, R., et al. (2012) · Astronomy and Astrophysics · doi:10.1051/0004-6361/201220040 · Cited by 289 · see citing works
nbodykit: An Open-source, Massively Parallel Toolkit for Large-scale Structure
Hand, N., Feng, Y., Beutler, F., Li, Y., Modi, C., Seljak, U., & Slepian, Z. (2018) · The Astronomical Journal · doi:10.3847/1538-3881/aadae0 · Cited by 282 · cited 1× · see citing works
“5, we plot the electron pressure power spectrum; here, and elsewhere, computed using nbodykit10 (Hand et al. 2018).”
MethodTowards a realistic population of simulated galaxy groups and clusters
Brun, A. L. L., McCarthy, I., Schaye, J., & Ponman, T. (2013) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stu608 · Cited by 255 · cited 1× · see citing works
“…Le Brun et al. 2017; Gupta et al. 2017; Planelles et al. 2017; Mead et al. 2020), or observations (Afshordi et al. 2007; Atrio-Barandela et al. 2008; Arnaud et al. 2010; Chaudhuri & Majumdar 2011; Planck Collaboration et al. 2013; Zandanel et al. 2014; Le Brun et al. 2014; RamosCeja et al. 2015).”
BackgroundLearning to predict the cosmological structure formation
He, S., Li, Y., Feng, Y., Ho, S., Ravanbakhsh, S., Chen, W., & Póczos, B. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1821458116 · Cited by 216 · cited 2× · see citing works
“Motivated by previous successes in similar applications (e.g., He et al. 2019; Zhang et al. 2019), we choose a U-Net architecture, displayed in Fig.”
MethodOstriker, J., & Vishniac, E. (1986) · The Astrophysical Journal · doi:10.1086/184704 · Cited by 212 · cited 1× · see citing works
“Treatments of the kSZ effect begin with linear theory (Ostriker & Vishniac 1986; Vishniac 1987; Jaffe & Kamionkowski 1998), and then were extended to non-linear scales (Valageas et al. 2001; Ma & Fry 2002; Zhang et al. 2004; Park et al. 2016).”
MethodHydrodynamical simulations of the Sunyaev-Zel'dovich effect
da Silva, A., Barbosa, D., Liddle, A., & Thomas, P. (1999) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2000.03553.x · Cited by 208 · cited 1× · see citing works
“Hydrodynamical simulations of the Sunyaev-Zel’dovich effects began before the establishment of precision cosmology (Scaramella et al. 1993; da Silva et al. 2000, 2001; Springel et al. 2001).”
MethodUniversal gas density and temperature profile
Komatsu, E., & Seljak, U. (2001) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2001.04838.x · Cited by 188 · cited 1× · see citing works
“These assume that the halos have a characteristic profile (Komatsu & Seljak 2001), depending on mass and redshift and possibly a few other parameters.”
BackgroundIMPACT OF CLUSTER PHYSICS ON THE SUNYAEV–ZEL'DOVICH POWER SPECTRUM
Shaw, L., Nagai, D., Bhattacharya, S., & Lau, E. (2010) · The Astrophysical Journal · doi:10.1088/0004-637x/725/2/1452 · Cited by 181 · cited 1× · see citing works
“A variety of other analytical approaches in the halo model framework have been developed (Lee & Suto 2003; Ostriker et al. 2005; Hallman et al. 2007a; Bode et al. 2007, 2009; Shaw et al. 2010; Efstathiou & Migliaccio 2012; Capelo et al. 2012; Shi & Komatsu 2014).”
BackgroundSunyaev-Zeldovich Fluctuations from Spatial Correlations between Clusters of Galaxies
Komatsu, E., & Kitayama, T. (1999) · Astrophysical Journal · doi:10.1086/312364 · Cited by 181 · cited 1× · see citing works
“In order to more accurately describe the non-linear evolution, halo model approaches have been developed, starting from Komatsu & Kitayama (1999) and Komatsu & Seljak (2002).”
MethodReionization and small-scale fluctuations in the microwave background
Vishniac, E. (1987) · The Astrophysical Journal · doi:10.1086/165755 · Cited by 180 · cited 1× · see citing works
“Treatments of the kSZ effect begin with linear theory (Ostriker & Vishniac 1986; Vishniac 1987; Jaffe & Kamionkowski 1998), and then were extended to non-linear scales (Valageas et al. 2001; Ma & Fry 2002; Zhang et al. 2004; Park et al. 2016).”
MethodAlsing, J., Wandelt, B. D., & Feeney, S. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty819 · Cited by 177 · cited 1× · see citing works
“In order to utilize the nonGaussian information in maps, likelihood-free inference (Alsing et al. 2018) could be a promising approach; for example applied to the tSZ one-point PDF (Hill et al. 2014; Thiele et al. 2019).”
MethodHydrodynamic Simulations of the Sunyaev-Zeldovich Effect(s)
Springel, V., White, M., & Hernquist, L. (2000) · The Astrophysical Journal · doi:10.1086/319473 · Cited by 171 · cited 1× · see citing works
“Hydrodynamical simulations of the Sunyaev-Zel’dovich effects began before the establishment of precision cosmology (Scaramella et al. 1993; da Silva et al. 2000, 2001; Springel et al. 2001).”
MethodSIMULATIONS OF THE SUNYAEV–ZEL'DOVICH POWER SPECTRUM WITH ACTIVE GALACTIC NUCLEUS FEEDBACK
Battaglia, N., Bond, J., Pfrommer, C., Sievers, J., & Sijacki, D. (2010) · The Astrophysical Journal · doi:10.1088/0004-637x/725/1/91 · Cited by 165 · cited 1× · see citing works
“Later works investigated the effects of sub-grid physics (White et al. 2002; Nagai et al. 2007; Pfrommer et al. 2007; Sijacki et al. 2008; Battaglia et al. 2010).”
BackgroundConsistent inference of probabilities in layered networks: predictions and generalizations
Tishby, Левин, & Solla (1989) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.1989.118274 · Cited by 161 · cited 1× · see citing works
“Possible extensions to this work which would take this effect into account could involve GANs (Goodfellow et al. 2014) or Bayesian neural networks (Tishby et al. 1989).”
BackgroundWhite, M., Hernquist, L., & Springel, V. (2002) · The Astrophysical Journal · doi:10.1086/342756 · Cited by 144 · cited 1× · see citing works
“Later works investigated the effects of sub-grid physics (White et al. 2002; Nagai et al. 2007; Pfrommer et al. 2007; Sijacki et al. 2008; Battaglia et al. 2010).”
BackgroundSZ effects in the Magneticum Pathfinder Simulation: Comparison with the Planck, SPT, and ACT results
Dolag, K., Komatsu, E., & Sunyaev, R. (2015) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw2035 · Cited by 132 · cited 1× · see citing works
“Largescale simulation efforts have enabled direct comparison to microwave observations (Hallman et al. 2007b; Schäfer et al. 2006; Kay et al. 2012; Schaye et al. 2015; Dolag et al. 2016; Spacek et al. 2018; Nelson et al. 2019).”
BackgroundHYDRODYNAMIC SIMULATION OF NON-THERMAL PRESSURE PROFILES OF GALAXY CLUSTERS
Nelson, K., Lau, E., & Nagai, D. (2014) · doi:10.1088/0004-637x/792/1/25 · Cited by 130 · cited 1×
“Recent work has calibrated these halo electron pressure profiles off of numerical simulations (Allison et al. 2011; Battaglia et al. 2012; Nelson et al. 2014; Le Brun et al. 2017; Gupta et al. 2017; Planelles et al. 2017; Mead et al. 2020), or observations (Afshordi et al. 2007; Atrio-Barandela et…”
MethodBattaglia, N., Bond, J., Pfrommer, C., & Sievers, J. (2011) · The Astrophysical Journal · doi:10.1088/0004-637x/758/2/75 · Cited by 130 · cited 3× · see citing works
“For the electron pressure, we make use of the simulation-calibrated model from Battaglia et al. (2012), hereafter B12, which gives a simple fitting function for the electron pressure as a function of halo mass and redshift: Pmodele (x) = ∑ halos h B12(Mh, |x− xh”
BackgroundMethodPfrommer, C., Ensslin, T., Springel, V., Jubelgas, M., & Dolag, K. (2006) · doi:10.1111/j.1365-2966.2007.11732.x · Cited by 126
Detection of thermal SZ-CMB lensing cross-correlation in Planck nominal mission data
Hill, J. C., & Spergel, D. N. (2014) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2014/02/030 · Cited by 124 · cited 1× · see citing works
“First, correlating different cosmological observables can be less susceptible to systematic effects, which makes them useful summary statistics (e.g., for weak lensing cross tSZ, Hill & Spergel 2014; Van Waerbeke et al. 2014; Hojjati et al. 2017).”
BackgroundSelf-citationNelson, D., Kauffmann, G., Pillepich, A., Genel, S., Springel, V., Pakmor, R., Hernquist, L., Weinberger, R., Torrey, P., Vogelsberger, M., et al. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty656 · Cited by 118 · cited 2× · see citing works
“Data preparation For the majority of this work, we use the TNG300-1 (hydrodynamical) and TNG300-1 DM (gravityonly) z = 0 snapshots (Springel et al. 2018; Naiman et al. 2018; Nelson et al. 2018; Marinacci et al. 2018; Pillepich et al. 2018a; Nelson et al. 2019).”
MethodSelf-citationShi, X., Komatsu, E., Nagai, D., & Lau, E. (2014) · doi:10.1093/mnras/stu858 · Cited by 99 · cited 1×
“A variety of other analytical approaches in the halo model framework have been developed (Lee & Suto 2003; Ostriker et al. 2005; Hallman et al. 2007a; Bode et al. 2007, 2009; Shaw et al. 2010; Efstathiou & Migliaccio 2012; Capelo et al. 2012; Shi & Komatsu 2014).”
BackgroundTEMPLATES FOR THE SUNYAEV–ZEL’DOVICH ANGULAR POWER SPECTRUM
Trac, H., Bode, P., & Ostriker, J. (2010) · The Astrophysical Journal · doi:10.1088/0004-637x/727/2/94 · Cited by 95 · cited 1× · see citing works
“A comparison of different analytical halo model approaches is performed in Trac et al. (2011).”
BackgroundPower spectrum of the Sunyaev-Zel’dovich effect
Réfrégier, A., Komatsu, E., Spergel, D., & Pen, U. (1999) · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields · doi:10.1103/physrevd.61.123001 · Cited by 92 · cited 1× · see citing works
“Early papers assumed that on large scales the gas pressure traces the dark matter distribution (Persi et al. 1995; Refregier et al. 2000).”
BackgroundSelf-citationA hydrodynamical halo model for weak-lensing cross correlations
Mead, A., Tröster, T., Heymans, C., Waerbeke, L. V., & McCarthy, I. G. (2020) · Astronomy and Astrophysics · doi:10.1051/0004-6361/202038308 · Cited by 91 · cited 1× · see citing works
“…simulations (Allison et al. 2011; Battaglia et al. 2012; Nelson et al. 2014; Le Brun et al. 2017; Gupta et al. 2017; Planelles et al. 2017; Mead et al. 2020), or observations (Afshordi et al. 2007; Atrio-Barandela et al. 2008; Arnaud et al. 2010; Chaudhuri & Majumdar 2011; Planck…”
Simulations of cosmic-ray feedback by active galactic nuclei in galaxy clusters
Sijacki, D., Pfrommer, C., Springel, V., & Ensslin, T. (2008) · doi:10.1111/j.1365-2966.2008.13310.x · Cited by 89 · cited 1×
“Later works investigated the effects of sub-grid physics (White et al. 2002; Nagai et al. 2007; Pfrommer et al. 2007; Sijacki et al. 2008; Battaglia et al. 2010).”
BackgroundDECONSTRUCTING THE KINETIC SZ POWER SPECTRUM
Shaw, L., Rudd, D., & Nagai, D. (2011) · doi:10.1088/0004-637x/756/1/15 · Cited by 87 · cited 1×
“More recent works use numerical simulations to calibrate the analytic treatment (Shaw et al. 2012; Alvarez 2016; Park et al. 2018).”
MethodA Simple and Accurate Model for Intracluster Gas
Ostriker, J., Bode, P., & Babul, A. (2005) · doi:10.1086/497122 · Cited by 86 · cited 1×
“A variety of other analytical approaches in the halo model framework have been developed (Lee & Suto 2003; Ostriker et al. 2005; Hallman et al. 2007a; Bode et al. 2007, 2009; Shaw et al. 2010; Efstathiou & Migliaccio 2012; Capelo et al. 2012; Shi & Komatsu 2014).”
BackgroundMissing thermal energy of the intracluster medium
Afshordi, N., Lin, Y., Nagai, D., & Sanderson, A. J. R. (2007) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2007.11776.x · Cited by 80 · cited 1× · see citing works
“…2011; Battaglia et al. 2012; Nelson et al. 2014; Le Brun et al. 2017; Gupta et al. 2017; Planelles et al. 2017; Mead et al. 2020), or observations (Afshordi et al. 2007; Atrio-Barandela et al. 2008; Arnaud et al. 2010; Chaudhuri & Majumdar 2011; Planck Collaboration et al. 2013; Zandanel et al.…”
BackgroundBattaglia, N. (2016) · doi:10.1088/1475-7516/2016/08/058 · Cited by 79 · cited 1×
“In contrast to the electron pressure, we do not use a halo model fitting function (Battaglia 2016) for the electron density, as we find that a simple linear fit relating dark matter and electron density with an additional Gaussian smoothing is good enough for the purposes of this work: ρmodele (x)…”
MethodModeling Intracluster Gas in Triaxial Dark Halos: An Analytic Approach
Lee, J., & Suto, Y. (2003) · The Astrophysical Journal · doi:10.1086/345931 · Cited by 78 · see citing works
Painting with baryons: augmenting <i>N</i>-body simulations with gas using deep generative models
Tröster, T., Ferguson, C., Harnois-Déraps, J., & McCarthy, I. G. (2019) · Monthly Notices of the Royal Astronomical Society: Letters · doi:10.1093/mnrasl/slz075 · Cited by 77 · cited 2× · see citing works
“The solution for the problem of the tailed distribution of input data is relatively standard (e.g., Tröster et al. 2019), and consists in shrinking the dynamic range of the input data (this can be interpreted as a generalization of the unit-variance zero-centred rescaling that is standard practice…”
MethodTruong, N., Pillepich, A., Werner, N., Nelson, D., Lakhchaura, K., Weinberger, R., Springel, V., Vogelsberger, M., & Hernquist, L. (2020) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/staa685 · Cited by 71 · see citing works
Self-citationvan Waerbeke, L., Hinshaw, G., & Murray, N. (2013) · doi:10.1103/physrevd.89.023508 · Cited by 70 · cited 1×
“First, correlating different cosmological observables can be less susceptible to systematic effects, which makes them useful summary statistics (e.g., for weak lensing cross tSZ, Hill & Spergel 2014; Van Waerbeke et al. 2014; Hojjati et al. 2017).”
BackgroundNonlinear kinetic Sunyaev-Zeldovich effect.
Ma, C.-P., & Fry, J. N. (2001) · Physical Review Letters · doi:10.1103/physrevlett.88.211301 · Cited by 69 · cited 1×
“Treatments of the kSZ effect begin with linear theory (Ostriker & Vishniac 1986; Vishniac 1987; Jaffe & Kamionkowski 1998), and then were extended to non-linear scales (Valageas et al. 2001; Ma & Fry 2002; Zhang et al. 2004; Park et al. 2016).”
MethodCalculation of the Ostriker-Vishniac effect in cold dark matter models
Jaffe, A. H., & Kamionkowski, M. (1998) · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields · doi:10.1103/physrevd.58.043001 · Cited by 65 · cited 1× · see citing works
“Treatments of the kSZ effect begin with linear theory (Ostriker & Vishniac 1986; Vishniac 1987; Jaffe & Kamionkowski 1998), and then were extended to non-linear scales (Valageas et al. 2001; Ma & Fry 2002; Zhang et al. 2004; Park et al. 2016).”
MethodExact calculation of the overlap volume of spheres and mesh elements
Strobl, S., Formella, A., & Pöschel, T. (2016) · Journal of Computational Physics · doi:10.1016/j.jcp.2016.02.003 · Cited by 63 · cited 1×
“We make use of the subfind hsml fields in the snapshot to obtain spheres of varying size in which we assume the dark matter properties to be uniform; then we use the Overlap library14 (Strobl et al. 2016) to grid these spheres onto cubical voxels.”
MethodPressure of the hot gas in simulations of galaxy clusters
Planelles, S., Fabjan, D., Borgani, S., Murante, G., Rasia, E., Biffi, V., Truong, N., Ragone-Figueroa, C., Granato, G., Dolag, K., et al. (2015) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx318 · Cited by 62 · cited 1× · see citing works
“…profiles off of numerical simulations (Allison et al. 2011; Battaglia et al. 2012; Nelson et al. 2014; Le Brun et al. 2017; Gupta et al. 2017; Planelles et al. 2017; Mead et al. 2020), or observations (Afshordi et al. 2007; Atrio-Barandela et al. 2008; Arnaud et al. 2010; Chaudhuri &…”
BackgroundEXPLORING THE ENERGETICS OF INTRACLUSTER GAS WITH A SIMPLE AND ACCURATE MODEL
Bode, P., Ostriker, J., & Vikhlinin, A. (2009) · doi:10.1088/0004-637x/700/2/989 · Cited by 61 · cited 1×
“A variety of other analytical approaches in the halo model framework have been developed (Lee & Suto 2003; Ostriker et al. 2005; Hallman et al. 2007a; Bode et al. 2007, 2009; Shaw et al. 2010; Efstathiou & Migliaccio 2012; Capelo et al. 2012; Shi & Komatsu 2014).”
BackgroundZhang, P.-J., Pen, U., & Trac, H. (2003) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2004.07298.x · Cited by 61 · see citing works
Moster, B. P., Naab, T., Lindström, M., & O’Leary, J. A. (2021) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stab1449 · Cited by 61 · cited 1× · see citing works
“Machine learning has previously been used for similar tasks, for example to generate twodimensional maps of the tSZ effect (Tröster et al. 2019), and populating gravity-only simulations with galaxies (Xu et al. 2013; Zhang et al. 2019; Agarwal et al. 2018; Jo & Kim 2019; Moster et al. 2020).”
MethodSunyaev-Zeldovich clusters in Millenium gas simualtions
Kay, S., Peel, M., Short, C., Thomas, P., Young, O., Battye, R., Liddle, A., & Pearce, F. (2011) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2012.20623.x · Cited by 54 · see citing works
Cross-correlating Planck tSZ with RCSLenS weak lensing: implications for cosmology and AGN feedback
Hojjati, A., Tröster, T., Harnois-Déraps, J., McCarthy, I., van Waerbeke, L., Choi, A., Erben, T., Heymans, C., Hildebrandt, H., Hinshaw, G., et al. (2016) · doi:10.1093/mnras/stx1659 · Cited by 50 · cited 1×
“First, correlating different cosmological observables can be less susceptible to systematic effects, which makes them useful summary statistics (e.g., for weak lensing cross tSZ, Hill & Spergel 2014; Van Waerbeke et al. 2014; Hojjati et al. 2017).”
BackgroundThe scatter and evolution of the global hot gas properties of simulated galaxy cluster populations
Brun, A. L. L., McCarthy, I., Schaye, J., & Ponman, T. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw3361 · Cited by 50 · see citing works
Painting galaxies into dark matter haloes using machine learning
Agarwal, S., Dave, R., & Bassett, B. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty1169 · Cited by 47 · cited 1× · see citing works
“Machine learning has previously been used for similar tasks, for example to generate twodimensional maps of the tSZ effect (Tröster et al. 2019), and populating gravity-only simulations with galaxies (Xu et al. 2013; Zhang et al. 2019; Agarwal et al. 2018; Jo & Kim 2019; Moster et al. 2020).”
MethodFrom Dark Matter to Galaxies with Convolutional NetworksPreprint
Zhang, X., Wang, Y., Zhang, W., Sun, Y., He, S., Contardo, G., Villaescusa-Navarro, F., & Ho, S. (2019) · arXiv.org · doi:10.48550/arxiv.1902.05965 · Cited by 44 · cited 2× · see citing works
“Motivated by previous successes in similar applications (e.g., He et al. 2019; Zhang et al. 2019), we choose a U-Net architecture, displayed in Fig.”
MethodSelf-citationSZE observables, pressure profiles and centre offsets in Magneticum simulation galaxy clusters
Gupta, N., Saro, A., Mohr, J., Dolag, K., & Liu, J.-Y. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx715 · Cited by 42 · cited 1× · see citing works
“…halo electron pressure profiles off of numerical simulations (Allison et al. 2011; Battaglia et al. 2012; Nelson et al. 2014; Le Brun et al. 2017; Gupta et al. 2017; Planelles et al. 2017; Mead et al. 2020), or observations (Afshordi et al. 2007; Atrio-Barandela et al. 2008; Arnaud et al. 2010;…”
BackgroundHot gas in superclusters and microwave background distortions
Persi, F., Spergel, D., Cen, R., & Ostriker, J. (1995) · The Astrophysical Journal · doi:10.1086/175416 · Cited by 42 · cited 1× · see citing works
“Early papers assumed that on large scales the gas pressure traces the dark matter distribution (Persi et al. 1995; Refregier et al. 2000).”
BackgroundSelf-citationJo, Y., & Kim, J.-H. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz2304 · Cited by 42 · cited 1× · see citing works
“Machine learning has previously been used for similar tasks, for example to generate twodimensional maps of the tSZ effect (Tröster et al. 2019), and populating gravity-only simulations with galaxies (Xu et al. 2013; Zhang et al. 2019; Agarwal et al. 2018; Jo & Kim 2019; Moster et al. 2020).”
MethodSuda, Y., Nozawa, S., Itoh, N., & Ohhata, Y. (2005) · doi:10.1393/ncb/i2005-10223-0 · Cited by 40
Accurate Realizations of the Ionized Gas in Galaxy Clusters: Calibrating Feedback
Bode, P., Ostriker, J., Weller, J., & Shaw, L. (2006) · doi:10.1086/518432 · Cited by 36 · cited 1×
“A variety of other analytical approaches in the halo model framework have been developed (Lee & Suto 2003; Ostriker et al. 2005; Hallman et al. 2007a; Bode et al. 2007, 2009; Shaw et al. 2010; Efstathiou & Migliaccio 2012; Capelo et al. 2012; Shi & Komatsu 2014).”
BackgroundAlvarez, M. A. (2015) · The Astrophysical Journal · doi:10.3847/0004-637x/824/2/118 · Cited by 32 · cited 1× · see citing works
“More recent works use numerical simulations to calibrate the analytic treatment (Shaw et al. 2012; Alvarez 2016; Park et al. 2018).”
MethodSchaefer, B., Pfrommer, C., Bartelmann, M., Springel, V., & Hernquist, L. (2004) · doi:10.1111/j.1365-2966.2006.10552.x · Cited by 32 · cited 1×
“Largescale simulation efforts have enabled direct comparison to microwave observations (Hallman et al. 2007b; Schäfer et al. 2006; Kay et al. 2012; Schaye et al. 2015; Dolag et al. 2016; Spacek et al. 2018; Nelson et al. 2019).”
BackgroundMapping the relativistic electron gas temperature across the sky
Remazeilles, M., & Chluba, J. (2020) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/staa1135 · Cited by 32 · cited 1× · see citing works
“A further obvious and easy generalization would be to the relativistic tSZ effect (Nozawa et al. 2006; Remazeilles & Chluba 2020; Lee et al. 2020).”
BackgroundAtrio-Barandela, F., Kashlinsky, A., Kocevski, D., & Ebeling, H. (2008) · doi:10.1086/533437 · Cited by 30 · cited 1×
“…2012; Nelson et al. 2014; Le Brun et al. 2017; Gupta et al. 2017; Planelles et al. 2017; Mead et al. 2020), or observations (Afshordi et al. 2007; Atrio-Barandela et al. 2008; Arnaud et al. 2010; Chaudhuri & Majumdar 2011; Planck Collaboration et al. 2013; Zandanel et al. 2014; Le Brun et al.…”
BackgroundScaramella, R., Cen, R., & Ostriker, J. (1993) · doi:10.1086/173245 · Cited by 30 · cited 1×
“Hydrodynamical simulations of the Sunyaev-Zel’dovich effects began before the establishment of precision cosmology (Scaramella et al. 1993; da Silva et al. 2000, 2001; Springel et al. 2001).”
MethodA FIRST LOOK AT CREATING MOCK CATALOGS WITH MACHINE LEARNING TECHNIQUES
Xu, X.-Y., Ho, S., Trac, H., Schneider, J., Póczos, B., & Ntampaka, M. (2013) · doi:10.1088/0004-637x/772/2/147 · Cited by 25 · cited 1×
“Machine learning has previously been used for similar tasks, for example to generate twodimensional maps of the tSZ effect (Tröster et al. 2019), and populating gravity-only simulations with galaxies (Xu et al. 2013; Zhang et al. 2019; Agarwal et al. 2018; Jo & Kim 2019; Moster et al. 2020).”
MethodA Simple Empirically Motivated Template for the Unresolved Thermal Sunyaev-Zeldovich Effect
Efstathiou, G., & Migliaccio, M. (2011) · doi:10.1111/j.1365-2966.2012.21059.x · Cited by 25
Secondary CMB anisotropies from the kinetic SZ effect
Valageas, P., Balbi, A., & Silk, J. (2000) · doi:10.1051/0004-6361:20000403 · Cited by 25 · cited 1×
“Treatments of the kSZ effect begin with linear theory (Ostriker & Vishniac 1986; Vishniac 1987; Jaffe & Kamionkowski 1998), and then were extended to non-linear scales (Valageas et al. 2001; Ma & Fry 2002; Zhang et al. 2004; Park et al. 2016).”
MethodPark, H., Komatsu, E., Shapiro, P., Koda, J., & Mao, Y. (2015) · doi:10.3847/0004-637x/818/1/37 · Cited by 24 · cited 1×
“Treatments of the kSZ effect begin with linear theory (Ostriker & Vishniac 1986; Vishniac 1987; Jaffe & Kamionkowski 1998), and then were extended to non-linear scales (Valageas et al. 2001; Ma & Fry 2002; Zhang et al. 2004; Park et al. 2016).”
MethodLee, E., Chluba, J., Kay, S., & Barnes, D. (2019) · Monthly notices of the Royal Astronomical Society · doi:10.1093/mnras/staa450 · Cited by 23 · cited 1× · see citing works
“A further obvious and easy generalization would be to the relativistic tSZ effect (Nozawa et al. 2006; Remazeilles & Chluba 2020; Lee et al. 2020).”
BackgroundThe Atacama Cosmology Telescope: A Measurement of the Thermal Sunyaev-Zel\'dovich One-Point PDF
Hill, J., Sherwin, B., Smith, K. M., Addison, G., Battaglia, N., Battistelli, E., Bond, J., Calabrese, E., Devlin, M., Dunkley, J., et al. (2014) · doi:10.48550/arxiv.1411.8004 · Cited by 22 · cited 9×
“Finally, the one-point PDF, plotted in Fig.”
MethodInfluentialSelf-citationCapelo, P. R., Coppi, P., & Natarajan, P. (2011) · doi:10.1111/j.1365-2966.2012.20648.x · Cited by 22 · cited 1×
“A variety of other analytical approaches in the halo model framework have been developed (Lee & Suto 2003; Ostriker et al. 2005; Hallman et al. 2007a; Bode et al. 2007, 2009; Shaw et al. 2010; Efstathiou & Migliaccio 2012; Capelo et al. 2012; Shi & Komatsu 2014).”
BackgroundThe Impact of Baryonic Physics on the Kinetic Sunyaev–Zel’dovich Effect
Park, H., Alvarez, M. A., & Bond, J. R. (2017) · The Astrophysical Journal · doi:10.3847/1538-4357/aaa0da · Cited by 21 · cited 1× · see citing works
“More recent works use numerical simulations to calibrate the analytic treatment (Shaw et al. 2012; Alvarez 2016; Park et al. 2018).”
MethodZandanel, F., Pfrommer, C., & Prada, F. (2013) · doi:10.1093/mnras/stt2196 · Cited by 17 · cited 1×
“…Le Brun et al. 2017; Gupta et al. 2017; Planelles et al. 2017; Mead et al. 2020), or observations (Afshordi et al. 2007; Atrio-Barandela et al. 2008; Arnaud et al. 2010; Chaudhuri & Majumdar 2011; Planck Collaboration et al. 2013; Zandanel et al. 2014; Le Brun et al. 2014; RamosCeja et al. 2015).”
BackgroundAllison, J., Taylor, A., Jones, M. E., Rawlings, S., & Kay, S. (2010) · doi:10.1111/j.1365-2966.2010.17447.x · Cited by 13 · cited 1×
“Recent work has calibrated these halo electron pressure profiles off of numerical simulations (Allison et al. 2011; Battaglia et al. 2012; Nelson et al. 2014; Le Brun et al. 2017; Gupta et al. 2017; Planelles et al. 2017; Mead et al. 2020), or observations (Afshordi et al. 2007; Atrio-Barandela et…”
MethodŠpaček, A., Richardson, M., Scannapieco, E., Devriendt, J., Dubois, Y., Peirani, S., & Pichon, C. (2017) · Astrophysical Journal · doi:10.3847/1538-4357/aada01 · Cited by 12 · cited 1×
“Largescale simulation efforts have enabled direct comparison to microwave observations (Hallman et al. 2007b; Schäfer et al. 2006; Kay et al. 2012; Schaye et al. 2015; Dolag et al. 2016; Spacek et al. 2018; Nelson et al. 2019).”
BackgroundSUNYAEV−ZEL'DOVICH SCALING RELATIONS FROM A SIMPLE PHENOMENOLOGICAL MODEL FOR GALAXY CLUSTERS
Chaudhuri, A., & Majumdar, S. (2010) · doi:10.1088/2041-8205/728/2/l41 · Cited by 10 · cited 1×
“…Le Brun et al. 2017; Gupta et al. 2017; Planelles et al. 2017; Mead et al. 2020), or observations (Afshordi et al. 2007; Atrio-Barandela et al. 2008; Arnaud et al. 2010; Chaudhuri & Majumdar 2011; Planck Collaboration et al. 2013; Zandanel et al. 2014; Le Brun et al. 2014; RamosCeja et al. 2015).”
BackgroundConstraining the intracluster pressure profile from the thermal SZ power spectrum
Ramos-Ceja, M., Basu, K., Pacaud, F., & Bertoldi, F. (2014) · doi:10.1051/0004-6361/201425534 · Cited by 9
An Accurate Analytic Model for the Thermal Sunyaev-Zel'dovich One-Point PDF
Thiele, L., Hill, J., & Smith, K. M. (2018) · Physical Review D · doi:10.1103/physrevd.99.103511 · Cited by 4 · cited 1×
“In order to utilize the nonGaussian information in maps, likelihood-free inference (Alsing et al. 2018) could be a promising approach; for example applied to the tSZ one-point PDF (Hill et al. 2014; Thiele et al. 2019).”
MethodSelf-citationAMR Simulations of the Cosmological Light Cone: SZE Surveys of the Synthetic Universe
Hallman, E., O'Shea, B., Norman, M., Wagner, R., & Burns, J. (2006) · doi:10.1007/978-3-540-73484-0_64 · Cited by 2 · cited 2×
“Largescale simulation efforts have enabled direct comparison to microwave observations (Hallman et al. 2007b; Schäfer et al. 2006; Kay et al. 2012; Schaye et al. 2015; Dolag et al. 2016; Spacek et al. 2018; Nelson et al. 2019).”
Background
Flagged first, then by citations
5 of the 93 references couldn’t be matched to a known paper.
Research works printed but not linked: 7
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Cited by
Sorted by citations
The CAMELS Project: Cosmology and Astrophysics with Machine-learning Simulations
Villaescusa-Navarro, F., Anglés-Alcázar, D., Genel, S., Spergel, D. N., S. Somerville, R., Dave, R., Pillepich, A., Hernquist, L., Nelson, D., Torrey, P., et al. (2021) · The Astrophysical Journal · doi:10.3847/1538-4357/abf7ba · Cited by 304 · see citing works
Self-citationThe Dawes Review 10: The impact of deep learning for the analysis of galaxy surveys
Huertas-Company, M., & Lanusse, F. (2023) · Publications of the Astronomical Society of Australia · doi:10.1017/pasa.2022.55 · Cited by 102 · see citing works
Villaescusa-Navarro, F., Genel, S., Anglés-Alcázar, D., Thiele, L., Davé, R., Narayanan, D., Nicola, A., Li, Y., Villanueva-Domingo, P., Wandelt, B. D., et al. (2021) · Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/ac5ab0 · Cited by 69 · see citing works
“…on the dark matter field (Modi et al. 2018; Jo & Kim 2019; Tröster et al. 2019; Yip et al. 2019; Zhang et al. 2019; Kasmanoff et al. 2020; Thiele et al. 2020; Harrington et al. 2021; Moews et al. 2021; Wadekar et al. 2021), changing the cosmology of a Original content from this work may…”
BackgroundMethodSelf-citationThe CAMELS Project: Public Data Release
Villaescusa-Navarro, F., Genel, S., Anglés‐Alcázar, D., Perez, L. A., Villanueva-Domingo, P., Wadekar, D. S., Shao, H., Mohammad, F. G., Hassan, S., Moser, E., et al. (2023) · The Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/acbf47 · Cited by 73 · see citing works
“…properties on N-body simulations (Jo & Kim 2019; Yip et al. 2019; Zhang et al. 2019; Alves de Oliveira et al. 2020; Kasmanoff et al. 2020; Thiele et al. 2020; Moews et al. 2021; Wadekar et al. 2021; Bernardini et al. 2022; Harrington et al. 2022; Horowitz et al. 2022), improving the…”
BackgroundSelf-citationHInet: Generating Neutral Hydrogen from Dark Matter with Neural Networks
Wadekar, D., Villaescusa-Navarro, F., Ho, S., & Perreault-Levasseur, L. (2021) · The Astrophysical Journal · doi:10.3847/1538-4357/ac033a · Cited by 32 · see citing works
“Our results can be further improved if we train the U-net on a simulation with a larger volume,21 which would have a larger number of high-mass halos, or using a set of zoom-in simulations focused on galaxy clusters (Thiele et al. 2020).”
MethodSelf-citationWadekar, D., Thiele, L., Villaescusa-Navarro, F., Hill, J., Cranmer, M., Spergel, D., Battaglia, N., Anglés-Alcázar, D., Hernquist, L., & Ho, S. (2022) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.2202074120 · Cited by 20 · see citing works
“, the ones used in (152)) would be valuable to test our results.”
Self-citationModeling assembly bias with machine learning and symbolic regressionPreprint
Wadekar, D., Villaescusa-Navarro, F., Ho, S., & Perreault-Levasseur, L. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2012.00111 · Cited by 17 · see citing works
Self-citationHorowitz, B., Zhang, B. J., Lee, K., & Kooistra, R. (2020) · The Astrophysical Journal · doi:10.3847/1538-4357/abca35 · Cited by 14 · see citing works
Fast, High-fidelity Lyα Forests with Convolutional Neural Networks
Harrington, P., Mustafa, M., Dornfest, M. A. A., Horowitz, B., & Lukić, Z. (2022) · The Astrophysical Journal · doi:10.3847/1538-4357/ac5faa · Cited by 15 · see citing works
“While extremely promising, deep learning approaches are datahungry, and require generation of training data at the desired output resolution (e.g., ∼100 kpc in Thiele et al. 2020) to achieve maximal model fidelity.”
BackgroundMethodMaximum likelihood kinetic Sunyaev-Zel’dovich velocity reconstruction
Contreras, D., McCarthy, F., & Johnson, M. C. (2022) · Physical Review D · doi:10.1103/physrevd.107.023521 · Cited by 9
Reconstructing Lyα Fields from Low-resolution Hydrodynamical Simulations with Deep Learning
Jacobus, C., Harrington, P., & Lukić, Z. (2023) · Astrophysical Journal · doi:10.3847/1538-4357/acfcb5 · Cited by 6 · see citing works
Cosmo-SPINN: Fuzzy Dark Matter Simulations with Physics-informed Generative Networks
Mishra, A., Tolley, E., & Cerardi, N. (2026) · Astrophysical Journal · doi:10.3847/1538-4357/aeaa5a
“As noted in several previous studies (Thiele et al. 2020; Wadekar et al. 2021; Bernardini et al. 2022), the choice of normalization scheme plays a crucial role in accurately predicting cosmic fields and reproducing their statistical properties.”
Reconstructing the local density field with combined convolutional and point cloud architecture
Barthe-Gold, B., Nguyen, N.-M., & Thiele, L. (2025) · arXiv.org · doi:10.48550/arxiv.2510.08573
“[23].”
Self-citation
- Authors
- Thiele, L., Villaescusa-Navarro, F., Spergel, D. N., Nelson, D., & Pillepich, A.
- Affiliations
- Princeton University (US)
- Max Planck Institute for Astrophysics (DE)
- Max Planck Institute for Astronomy (DE)
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2020-10-01
- Volume
- 902
- Issue
- 2
- Pages
- 129
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W3042722321
- Cited by
- 16
- References
- 93
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 5 · 2022: 6 · 2021: 3
- FWCI
- 1.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- The Astrophysical Journal (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Galaxies: Formation, Evolution, Phenomena
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Cosmology and Gravitation Theories
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › Dark Matter and Cosmic Phenomena
- Keywords
- Sunyaev-Zel'dovich effect, thermal Sunyaev-Zel'dovich effect, kinetic Sunyaev-Zel'dovich effect, convolutional neural networks, U-Net, electron pressure, galaxy clusters, IllustrisTNG, baryonic feedback, semi-analytical model, cosmological hydrodynamical simulations, galaxy formation
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