Latest Research
Towards a multi-tracer neutrino mass measurement with line-intensity mapping
18$ meV.
Cosmology and Nongalactic Astrophysics
An open-source library for performance-portable neutrino reaction rates: application to neutron star mergers
To this end, we present BNS_NURATES, a novel open-source numerical library designed for the efficient on-the-fly computation of neutrino interactions, with particular focus on regimes relevant to BNS mergers.
High Energy Astrophysical Phenomena Nuclear Theory
votess: A multi-target, GPU-capable, parallel Voronoi tessellator
votess is a library for computing parallel 3D Voronoi tessellations on heterogeneous platforms, from CPUs and GPUs, to future accelerator architectures.
Instrumentation and Methods for Astrophysics Distributed, Parallel, and Cluster Computing
Automated galaxy sizes in Euclid images using the Segment Anything Model
Our results highlight the strong potential of SAM for detecting disk truncations and measuring galaxy sizes across large datasets in an automated way.
Astrophysics of Galaxies
Extreme Deconvolution Reimagined: Conditional Densities via Neural Networks and an Application in Quasar Classification
The result is the CondXD algorithm, a generalization of XD that performs noise-free conditional density estimation.
Instrumentation and Methods for Astrophysics
SpyDust: an improved and extended implementation for modeling spinning dust radiation
Unlike 'spdust', which is focused on specific grain shapes, 'SpyDust' considers a wider range of grain shapes and provides the corresponding grain dynamics, directional radiation field and angular momentum transports.
Astrophysics of Galaxies
The classification of real and bogus transients using active learning and semi-supervised learning
We present a novel deep-learning method that combines active learning and semi-supervised learning to construct a competitive real/bogus classifier.
Instrumentation and Methods for Astrophysics
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data
multimodaluniverse/multimodaluniverse
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We present the MULTIMODAL UNIVERSE, a large-scale multimodal dataset of scientific astronomical data, compiled specifically to facilitate machine learning research.
Instrumentation and Methods for Astrophysics Astrophysics of Galaxies Solar and Stellar Astrophysics
Alignment Parameters: Quantifying Dense Core Alignment in Star-forming Regions
Recent high-resolution observations at millimeter (mm) and sub-mm reveal a diverse spatial distribution for sub-pc scale dense cores within star-forming regions, ranging from clustered to aligned arrangements.
Astrophysics of Galaxies
Latitude Quenching Nonlinearity in the Solar Dynamo
Digitized historical observations are used to build a database of individual magnetic plage regions from 1923 to 1985.
Solar and Stellar Astrophysics
