45 citations · 128 across the 13 of their papers we have counts for
13 papers
A differentiable forward model for weakly perturbed stellar streams: substructure forecasts from density and kinematics spectra
Noemi Anau Montel, Fabian Schmidt
Stellar streams are a promising way to gravitationally detect low-mass substructure, since their low dynamical temperature makes them retain the imprint of weak gravitational pertu…
Dynamic SBI: Round-free Sequential Simulation-Based Inference with Adaptive Datasets
Huifang Lyu, James Alvey, Noemi Anau Montel +2
Simulation-based inference (SBI) is emerging as a new statistical paradigm for addressing complex scientific inference problems. By leveraging the representational power of deep ne…
A robust neural determination of the source-count distribution of the Fermi-LAT sky at high latitudes
Christopher Eckner, Noemi Anau Montel, Florian List +2
Over the past 16 years, the Fermi Large Area Telescope (LAT) has significantly advanced our view of the GeV gamma-ray sky, yet several key questions remain - such as the compositio…
Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation
Oleg Savchenko, Guillermo Franco Abellán, Florian List +2
Knowledge of the primordial matter density field from which the large-scale structure of the Universe emerged over cosmic time is of fundamental importance for cosmology. However,…
Tests for model misspecification in simulation-based inference: from local distortions to global model checks
Noemi Anau Montel, James Alvey, Christoph Weniger
Model misspecification analysis strategies, such as anomaly detection, model validation, and model comparison are a key component of scientific model development. Over the last few…
Mean-Field Simulation-Based Inference for Cosmological Initial Conditions
Oleg Savchenko, Florian List, Guillermo Franco Abellán +2
Reconstructing cosmological initial conditions (ICs) from late-time observations is a difficult task, which relies on the use of computationally expensive simulators alongside soph…
Bayesian Simulation-based Inference for Cosmological Initial Conditions
Florian List, Noemi Anau Montel, Christoph Weniger
Reconstructing astrophysical and cosmological fields from observations is challenging. It requires accounting for non-linear transformations, mixing of spatial structure, and noise…
Scalable inference with Autoregressive Neural Ratio Estimation
Noemi Anau Montel, James Alvey, Christoph Weniger
In recent years, there has been a remarkable development of simulation-based inference (SBI) algorithms, and they have now been applied across a wide range of astrophysical and cos…
Strong-Lensing Source Reconstruction with Denoising Diffusion Restoration Models
Konstantin Karchev, Noemi Anau Montel, Adam Coogan +1
Analysis of galaxy--galaxy strong lensing systems is strongly dependent on any prior assumptions made about the appearance of the source. Here we present a method of imposing a dat…
Detection is truncation: studying source populations with truncated marginal neural ratio estimation
Noemi Anau Montel, Christoph Weniger
Statistical inference of population parameters of astrophysical sources is challenging. It requires accounting for selection effects, which stem from the artificial separation betw…
One never walks alone: the effect of the perturber population on subhalo measurements in strong gravitational lenses
Adam Coogan, Noemi Anau Montel, Konstantin Karchev +3
Analyses of extended arcs in strong gravitational lensing images to date have constrained the properties of dark matter by measuring the parameters of one or two individual subhalo…
TangoSIDM: Tantalizing models of Self-Interacting Dark Matter
Camila A. Correa, Matthieu Schaller, Sylvia Ploeckinger +3
We introduce the TangoSIDM project, a suite of cosmological simulations of structure formation in a -Self-Interacting Dark Matter (SIDM) universe. TangoSIDM explores the impact…
Estimating the warm dark matter mass from strong lensing images with truncated marginal neural ratio estimation
Noemi Anau Montel, Adam Coogan, Camila Correa +2
Precision analysis of galaxy-galaxy strong gravitational lensing images provides a unique way of characterizing small-scale dark matter halos, and could allow us to uncover the fun…