A Bayesian CNN maps 2D slitless spectral images to redshift estimates with NMAD precision 0.0104 for SNR_GI >=1 and better for brighter sources, while remaining robust to wavelength calibration errors via spatial augmentations.
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Realistic black hole dynamics in Astrid reduce baryonic suppression of the matter power spectrum at low redshifts compared to repositioning schemes used in other simulations.
The P3 selector achieves 0.9809 purity and 0.8869 completeness for QSO candidates in selected fields, outperforming Gaia's official probabilities.
MUST is a new 6.5 m telescope designed to deliver simultaneous optical spectra for over 20,000 targets across a 5 deg² field, enabling the largest 3D spectroscopic map of the Universe with redshifts for more than 100 million objects over an 8-year survey.
citing papers explorer
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Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey
A Bayesian CNN maps 2D slitless spectral images to redshift estimates with NMAD precision 0.0104 for SNR_GI >=1 and better for brighter sources, while remaining robust to wavelength calibration errors via spatial augmentations.
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Matter Clustering in Astrid: Reduced Baryonic Suppression from Realistic Black Hole Dynamics
Realistic black hole dynamics in Astrid reduce baryonic suppression of the matter power spectrum at low redshifts compared to repositioning schemes used in other simulations.
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A Gaia-linked High-purity QSO Candidate Catalog in Selected Fields with Extinction-binned Calibration and Spectrum-informed Training
The P3 selector achieves 0.9809 purity and 0.8869 completeness for QSO candidates in selected fields, outperforming Gaia's official probabilities.
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From Large Telescopes to the MUltiplexed Survey Telescope (MUST)
MUST is a new 6.5 m telescope designed to deliver simultaneous optical spectra for over 20,000 targets across a 5 deg² field, enabling the largest 3D spectroscopic map of the Universe with redshifts for more than 100 million objects over an 8-year survey.