38 citations · 62 across the 12 of their papers we have counts for
12 papers
Zooming by in the CARPoolGP lane: new CAMELS-TNG simulations of zoomed-in massive halos
Max E. Lee, Shy Genel, Benjamin D. Wandelt +10
Galaxy formation models within cosmological hydrodynamical simulations contain numerous parameters with non-trivial influences over the resulting properties of simulated cosmic str…
Dark Energy Survey Year 3 results: likelihood-free, simulation-based CDM inference with neural compression of weak-lensing map statistics
N. Jeffrey, L. Whiteway, M. Gatti +88
We present simulation-based cosmological CDM inference using Dark Energy Survey Year 3 weak-lensing maps, via neural data compression of weak-lensing map summary statistics: pow…
Deciphering baryonic feedback with galaxy clusters
Chun-Hao To, Shivam Pandey, Elisabeth Krause +3
Upcoming cosmic shear analyses will precisely measure the cosmic matter distribution at low redshifts. At these redshifts, the matter distribution is affected by galaxy formation p…
GODMAX: Modeling gas thermodynamics and matter distribution using JAX
Shivam Pandey, Jaime Salcido, Chun-Hao To +4
We introduce GODMAX (Gas thermODynamics and Matter distribution using jAX), a novel code designed to calculate correlations between the cosmological matter distribution and various…
Inferring galaxy cluster masses from cosmic microwave background lensing with neural simulation based inference
Eric J. Baxter, Shivam Pandey
Gravitational lensing by massive galaxy clusters distorts the observed cosmic microwave background (CMB) on arcminute scales, and these distortions carry information about cluster…
Dark Energy Survey Year 3 results: simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps I: validation on simulations
M. Gatti, N. Jeffrey, L. Whiteway +98
Beyond-two-point statistics contain additional information on cosmological as well as astrophysical and observational (systematics) parameters. In this methodology paper we provide…