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Leander Thiele
Leander Thiele
Graduate Student, Princeton University
Verified email at princeton.edu
Title
Cited by
Cited by
Year
Disentangling magnification in combined shear-clustering analyses
L Thiele, CAJ Duncan, D Alonso
Monthly Notices of the Royal Astronomical Society 491 (2), 1746-1758, 2020
202020
Massive vector fields in Kerr-Newman and Kerr-Sen black hole spacetimes
R Cayuso, OJC Dias, F Gray, D Kubizňák, A Margalit, JE Santos, ...
Journal of High Energy Physics 2020 (4), 1-26, 2020
172020
Teaching Neural Networks to Generate Fast Sunyaev–Zel’dovich Maps
L Thiele, F Villaescusa-Navarro, DN Spergel, D Nelson, A Pillepich
The Astrophysical Journal 902 (2), 129, 2020
112020
Principal tensor strikes again: separability of vector equations with torsion
R Cayuso, F Gray, D Kubizňák, A Margalit, RG Souza, L Thiele
Physics Letters B 795, 650-656, 2019
102019
Accurate analytic model for the thermal Sunyaev-Zel’dovich one-point probability distribution function
L Thiele, JC Hill, KM Smith
Physical Review D 99 (10), 103511, 2019
102019
Can small-scale baryon inhomogeneities resolve the Hubble tension? An investigation with ACT DR4
L Thiele, Y Guan, JC Hill, A Kosowsky, DN Spergel
Physical Review D 104 (6), 063535, 2021
92021
Accurate analytic model for the weak lensing convergence one-point probability distribution function and its autocovariance
L Thiele, JC Hill, KM Smith
Physical Review D 102 (12), 123545, 2020
92020
Multifield Cosmology with Artificial Intelligence
F Villaescusa-Navarro, D Anglés-Alcázar, S Genel, DN Spergel, Y Li, ...
arXiv preprint arXiv:2109.09747, 2021
72021
Robust marginalization of baryonic effects for cosmological inference at the field level
F Villaescusa-Navarro, S Genel, D Angles-Alcazar, DN Spergel, Y Li, ...
arXiv preprint arXiv:2109.10360, 2021
52021
The effective geometry Monte Carlo algorithm: Applications to molecular communication
F Dinc, L Thiele, BC Akdeniz
Physics Letters A 383 (22), 2594-2603, 2019
42019
Effective Geometry Monte Carlo: A Fast and Reliable Simulation Framework for Molecular Communication
F Dinç, M Medvidović, L Thiele
IEEE Access 7, 28635-28650, 2019
22019
The CAMELS Multifield Data Set: Learning the Universe’s Fundamental Parameters with Artificial Intelligence
F Villaescusa-Navarro, S Genel, D Angles-Alcazar, L Thiele, R Dave, ...
The Astrophysical Journal Supplement Series 259 (2), 61, 2022
12022
Augmenting astrophysical scaling relations with machine learning: application to reducing the SZ flux-mass scatter
D Wadekar, L Thiele, F Villaescusa-Navarro, JC Hill, DN Spergel, ...
arXiv preprint arXiv:2201.01305, 2022
12022
BISOU: a balloon project to measure the CMB spectral distortions
B Maffei, MH Abitbol, N Aghanim, J Aumont, E Battistelli, J Chluba, ...
arXiv preprint arXiv:2111.00246, 2021
12021
An exploration of the properties of cluster profiles for the thermal and kinetic Sunyaev-Zel'dovich effects
BKK Lee, WR Coulton, L Thiele, S Ho
arXiv preprint arXiv:2205.01710, 2022
2022
Predicting the Thermal Sunyaev-Zel'dovich Field using Modular and Equivariant Set-Based Neural Networks
L Thiele, M Cranmer, W Coulton, S Ho, DN Spergel
arXiv preprint arXiv:2203.00026, 2022
2022
Percent-level constraints on baryonic feedback with spectral distortion measurements
L Thiele, D Wadekar, JC Hill, N Battaglia, J Chluba, ...
arXiv preprint arXiv:2201.01663, 2022
2022
The CAMELS project: public data release
F Villaescusa-Navarro, S Genel, D Anglés-Alcázar, LA Perez, ...
arXiv preprint arXiv:2201.01300, 2022
2022
Equivariant and Modular DeepSets with Applications in Cluster Cosmology
L Thiele, M Cranmer, W Coulton, S Ho, DN Spergel
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Articles 1–19