Justin Alsing

activity

20222024

most citedMeasuring the thermal and ionization state of the low-

z

IGM using likelihood free inference

8 citations · 13 across the 3 of their papers we have counts for

collaborators

3 papers

astro-ph.CO2024★ 4 cited

Dark Energy Survey Year 3 results: likelihood-free, simulation-based $w$ CDM inference with neural compression of weak-lensing map statistics

N. Jeffrey, L. Whiteway, M. Gatti +88

We present simulation-based cosmological $w$ CDM inference using Dark Energy Survey Year 3 weak-lensing maps, via neural data compression of weak-lensing map summary statistics: pow…

stat.ML2023★ 1 cited

Optimal simulation-based Bayesian decisions

Justin Alsing, Thomas D. P. Edwards, Benjamin Wandelt

We present a framework for the efficient computation of optimal Bayesian decisions under intractable likelihoods, by learning a surrogate model for the expected utility (or its dis…

astro-ph.CO2022★ 8 cited

Measuring the thermal and ionization state of the low- $z$ IGM using likelihood free inference

Teng Hu, Vikram Khaire, Joseph F. Hennawi +6

We present a new approach to measure the power-law temperature density relationship $T = T_{0} (ρ / ρ ˉ)^{γ - 1}$ and the UV background photoionization rate $Γ_{HI}$ of the IGM base…

Dark Energy Survey Year 3 results: likelihood-free, simulation-based wCDM inference with neural compression of weak-lensing map statistics

Optimal simulation-based Bayesian decisions

Measuring the thermal and ionization state of the low-z IGM using likelihood free inference

Dark Energy Survey Year 3 results: likelihood-free, simulation-based $w$ CDM inference with neural compression of weak-lensing map statistics

Measuring the thermal and ionization state of the low- $z$ IGM using likelihood free inference