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Found 5 papers, 3 papers with code
Cloning and Beyond: A Quantum Solution to Duplicate Code
However, the kinds of problems for which these computers are a good fit, and the ways to express those problems, are substantially different from the kinds of problems and expressions used in classical computing.
Fast emulation of cosmological density fields based on dimensionality reduction and supervised machine-learning
For the estimations with a single free parameter, we train on the dark matter density parameter, $\Omega_m$, while for emulations with two free parameters, we train on a range of $\Omega_m$ and redshift.
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation
We further enhance our model by tuning the VAE network via DA using galaxies in the overlapping footprint of DECaLS and BASS+MzLS, enabling the unbiased application of our model to galaxy images in both surveys.
Optical reconstruction of dust in the region of SNR RX J1713.7-3946 from astrometric data
Finally, using the fact that the supernova remnant is expected to be located in a dusty environment and that there appears to be only one such structure in the vicinity of RX J1713. 7-3946, we set a very precise constrain to the supernova remnant distance, at ($1. 12 \pm 0. 01$) kpc.
High Energy Astrophysical Phenomena Astrophysics of Galaxies Computational Physics Data Analysis, Statistics and Probability Applications
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
The Recommendation System for Spectroscopic follow-up (RESSPECT) project aims to enable the construction of optimized training samples for the Rubin Observatory Legacy Survey of Space and Time (LSST), taking into account a realistic description of the astronomical data environment.
