Gemma Zhang
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View article: Modeling Galaxy Surveys with Hybrid SBI
Modeling Galaxy Surveys with Hybrid SBI Open
Simulation-based inference (SBI) has emerged as a powerful tool for extracting cosmological information from galaxy surveys deep into the non-linear regime. Despite its great promise, its application is limited by the computational cost of…
View article: Maven: a multimodal foundation model for supernova science
Maven: a multimodal foundation model for supernova science Open
A common setting in astronomy is the availability of a small number of high-quality observations, and larger amounts of either lower-quality observations or synthetic data from simplified models. Time-domain astrophysics is a canonical exa…
View article: Subhalo effective density slope measurements from <i>HST</i> strong lensing data with neural likelihood-ratio estimation
Subhalo effective density slope measurements from <i>HST</i> strong lensing data with neural likelihood-ratio estimation Open
Examining the properties of subhaloes with strong gravitational lensing images can shed light on the nature of dark matter. From upcoming large-scale surveys, we expect to discover orders of magnitude more strong lens systems that can be u…
View article: Subhalo effective density slope measurements from HST strong lensing data with neural likelihood-ratio estimation
Subhalo effective density slope measurements from HST strong lensing data with neural likelihood-ratio estimation Open
Examining the properties of subhalos with strong gravitational lensing images can shed light on the nature of dark matter. From upcoming large-scale surveys, we expect to discover orders of magnitude more strong lens systems that can be us…
View article: Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation Open
Strong gravitational lensing has emerged as a promising approach for probing dark matter (DM) models on sub-galactic scales. Recent work has proposed the subhalo effective density slope as a more reliable observable than the commonly used …
View article: Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation Open
Strong gravitational lensing has emerged as a promising approach for probing dark matter models on sub-galactic scales. Recent work has proposed the subhalo effective density slope as a more reliable observable than the commonly used subha…
View article: Impact of Warm Dark Matter on the Cosmic Neutrino Background Anisotropies
Impact of Warm Dark Matter on the Cosmic Neutrino Background Anisotropies Open
The Cosmic Neutrino Background (CνB) anisotropies for massive neutrinos are a unique probe of large-scale structure formation. The redshift-distance measure is completely different for massive neutrinos as compared to electromagnetic radia…
View article: Impact of Warm Dark Matter on the Cosmic Neutrino Background Anisotropies
Impact of Warm Dark Matter on the Cosmic Neutrino Background Anisotropies Open
The Cosmic Neutrino Background (C$ν$B) anisotropies for massive neutrinos are a unique probe of large-scale structure formation. The redshift-distance measure is completely different for massive neutrinos as compared to electromagnetic rad…
View article: Void halo mass function: A promising probe of neutrino mass
Void halo mass function: A promising probe of neutrino mass Open
Cosmic voids, the underdense regions in the universe, are particularly\nsensitive to diffuse density components such as cosmic neutrinos. This\nsensitivity is enhanced by the match between void sizes and the free-streaming\nscale of massiv…
View article: The void halo mass function: a promising probe of neutrino mass
The void halo mass function: a promising probe of neutrino mass Open
Cosmic voids, the underdense regions in the universe, are particularly sensitive to diffuse density components such as cosmic neutrinos. This sensitivity is enhanced by the match between void sizes and the free-streaming scale of massive n…