A method using Balrog synthetic injections corrects spatially variable detection and classification rates in DES Y3 data, reducing relative detection rate standard deviation by a factor of five and lowering bias in stellar stream density power spectra.
Bechtolet al., inSnowmass 2021(2022) arXiv:2203.07354 [hep-ph]
4 Pith papers cite this work, alongside 20 external citations. Polarity classification is still indexing.
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UNVERDICTED 4representative citing papers
New 95% confidence limits on mixed fuzzy dark matter mass and interacting dark matter cross sections are set using Milky Way satellites for beyond-CDM fractions down to 50%, with power-law weakening of bounds and forecasts for future surveys.
A 1D convolutional neural network reconstructs the dark-matter phase-space distribution from the matter power spectrum with greater accuracy and broader applicability than an earlier empirical formula.
Reports results from two searches for new radio lenses in existing surveys and discusses the completeness of the population usable for constraining dark matter properties via astrometric perturbations.
citing papers explorer
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Robust Measurement of Stellar Streams Around the Milky Way: Correcting Spatially Variable Observational Selection Effects in Optical Imaging Surveys
A method using Balrog synthetic injections corrects spatially variable detection and classification rates in DES Y3 data, reducing relative detection rate standard deviation by a factor of five and lowering bias in stellar stream density power spectra.
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Mixed Dark Matter: Limits from the Milky Way Satellite Galaxies
New 95% confidence limits on mixed fuzzy dark matter mass and interacting dark matter cross sections are set using Milky Way satellites for beyond-CDM fractions down to 50%, with power-law weakening of bounds and forecasts for future surveys.
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Machine Learning Does It and Does It Better: Unearthing Primordial Dark-Matter Velocities from the Matter Power Spectrum
A 1D convolutional neural network reconstructs the dark-matter phase-space distribution from the matter power spectrum with greater accuracy and broader applicability than an earlier empirical formula.
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Taking Inventory of the Most Promising Lensed Radio Sources for Constraining Fundamental Properties of Dark Matter
Reports results from two searches for new radio lenses in existing surveys and discusses the completeness of the population usable for constraining dark matter properties via astrometric perturbations.