69 citations · 491 across the 27 of their papers we have counts for
27 papers
AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology I: Literature Review
Anamaria Hell, Kateryna Vovk, Veena Krishnaraj +18
We investigate how well large language models (LLMs) can assist with literature reviews for scientific research. We perform a controlled study of eight expert-conceived research pr…
First Constraints from Marked Angular Power Spectra with Subaru Hyper Suprime-Cam Survey First-Year Data
Jessica A. Cowell, Joaquin Armijo, Leander Thiele +7
We present the first application of marked angular power spectra to weak lensing data, using maps from the Subaru Hyper Suprime-Cam Year 1 (HSC-Y1) survey. Marked convergence field…
Cosmological constraints using Minkowski functionals from the first year data of the Hyper Suprime-Cam
Joaquin Armijo, Gabriela A. Marques, Camila P. Novaes +5
We use Minkowski functionals to analyse weak lensing convergence maps from the first-year data release of the Subaru Hyper Suprime-Cam (HSC-Y1) survey. Minkowski functionals provid…
Cosmology from HSC Y1 Weak Lensing with Combined Higher-Order Statistics and Simulation-based Inference
Camila P. Novaes, Leander Thiele, Joaquin Armijo +7
We present cosmological constraints from weak lensing with the Subaru Hyper Suprime-Cam (HSC) first-year (Y1) data, using a simulation-based inference (SBI) method. % We explore th…
Cosmological constraints from weak lensing scattering transform using HSC Y1 data
Sihao Cheng, Gabriela A. Marques, Daniela Grandón +4
As weak lensing surveys go deeper, there is an increasing need for reliable characterization of non-Gaussian structures at small angular scales. Here we present the first cosmologi…
Impact of baryonic feedback on HSC Y1 weak lensing non-Gaussian statistics
Daniela Grandón, Gabriela A. Marques, Leander Thiele +3
Baryonic feedback is a major systematic in weak lensing cosmology. Its most studied effect is the suppression of the lensing power spectrum, a second-order statistic, on small scal…
Cosmology from weak lensing peaks and minima with Subaru Hyper Suprime-Cam survey first-year data
Gabriela A. Marques, Jia Liu, Masato Shirasaki +7
We present cosmological constraints derived from peak counts, minimum counts, and the angular power spectrum of the Subaru Hyper Suprime-Cam first-year (HSC Y1) weak lensing shear…
Neutrino mass constraint from an Implicit Likelihood Analysis of BOSS voids
Leander Thiele, Elena Massara, Alice Pisani +4
Cosmic voids identified in the spatial distribution of galaxies provide complementary information to two-point statistics. In particular, constraints on the neutrino mass sum, $\su…
Cosmological constraints from HSC Y1 lensing convergence PDF
Leander Thiele, Gabriela A. Marques, Jia Liu +1
We utilize the probability distribution function (PDF) of normalized convergence maps reconstructed from the Subaru Hyper Suprime-Cam (HSC) Y1 shear catalogue, in combination with…
Predicting the impact of feedback on matter clustering with machine learning in CAMELS
Ana Maria Delgado, Daniel Angles-Alcazar, Leander Thiele +7
Extracting information from the total matter power spectrum with the precision needed for upcoming cosmological surveys requires unraveling the complex effects of galaxy formation…
The SZ flux-mass (-) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback
Digvijay Wadekar, Leander Thiele, J. Colin Hill +8
Feedback from active galactic nuclei (AGN) and supernovae can affect measurements of integrated SZ flux of halos () from CMB surveys, and cause its relation with the…
An exploration of the properties of cluster profiles for the thermal and kinetic Sunyaev-Zel'dovich effects
Billy K. K. Lee, William R. Coulton, Leander Thiele +1
With the advent of high-resolution, low-noise CMB measurements, the ability to extract cosmological information from thermal Sunyaev-Zel'dovich effect and kinetic Sunyaev-Zel'dovic…
Predicting the Thermal Sunyaev-Zel'dovich Field using Modular and Equivariant Set-Based Neural Networks
Leander Thiele, Miles Cranmer, William Coulton +2
Theoretical uncertainty limits our ability to extract cosmological information from baryonic fields such as the thermal Sunyaev-Zel'dovich (tSZ) effect. Being sourced by the electr…
The CAMELS project: public data release
Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar +44
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynami…
Percent-level constraints on baryonic feedback with spectral distortion measurements
Leander Thiele, Digvijay Wadekar, J. Colin Hill +7
High-significance measurements of the monopole thermal Sunyaev-Zel'dovich CMB spectral distortions have the potential to tightly constrain poorly understood baryonic feedback proce…
Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter
Digvijay Wadekar, Leander Thiele, Francisco Villaescusa-Navarro +7
Complex astrophysical systems often exhibit low-scatter relations between observable properties (e.g., luminosity, velocity dispersion, oscillation period). These scaling relations…
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar +25
We present the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) Multifield Dataset, CMD, a collection of hundreds of thousands of 2D maps and 3D grids containi…
Robust marginalization of baryonic effects for cosmological inference at the field level
Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar +11
We train neural networks to perform likelihood-free inference from 2D maps containing the total mass surface density from thousands of hydrodynamic simula…
Multifield Cosmology with Artificial Intelligence
Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel +10
Astrophysical processes such as feedback from supernovae and active galactic nuclei modify the properties and spatial distribution of dark matter, gas, and galaxies in a poorly und…
Can small-scale baryon inhomogeneities resolve the Hubble tension? An investigation with ACT DR4
Leander Thiele, Yilun Guan, J. Colin Hill +2
Small-scale inhomogeneities in the baryon density around recombination have been proposed as a solution to the tension between local and global determinations of the Hubble constan…
Accurate Analytic Model for the Weak Lensing Convergence One-Point Probability Distribution Function and its Auto-Covariance
Leander Thiele, J. Colin Hill, Kendrick M. Smith
The one-point probability distribution function (PDF) is a powerful summary statistic for non-Gaussian cosmological fields, such as the weak lensing (WL) convergence reconstructed…
Teaching neural networks to generate Fast Sunyaev Zel'dovich Maps
Leander Thiele, Francisco Villaescusa-Navarro, David N. Spergel +2
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 observab…
Massive vector fields in Kerr--Newman and Kerr--Sen black hole spacetimes
Ramiro Cayuso, Oscar J. C. Dias, Finnian Gray +5
The superradiant instability modes of ultralight massive vector bosons are studied for weakly charged rotating black holes in Einstein--Maxwell gravity (the Kerr--Newman solution)…
Disentangling magnification in combined shear-clustering analyses
Leander Thiele, Christopher A. J. Duncan, David Alonso
We investigate the sensitivity to the effects of lensing magnification on large-scale structure analyses combining photometric cosmic shear and galaxy clustering data (i.e. the now…