A ~60-minute microlensing event is interpreted via Bayesian modeling as a ~0.03 Earth-mass primordial black hole in the Milky Way dark-matter halo.
The MACHO project: Microlensing results from 5.7 years of LMC observations.Astrophys
4 Pith papers cite this work. Polarity classification is still indexing.
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LSST will image 18,000 square degrees of sky about 800 times across six bands over 10 years to a coadded depth of r~27.5, producing a public database of 40 billion objects and 32 trillion observations.
AMPM survey detects one microlensing candidate in LMC data and constrains up to 30% of Galactic primordial black hole dark matter at 95% C.L. in the asteroid-to-planetary mass range, with peak sensitivity shifted to lunar masses by second-order effects.
The paper reviews primordial black hole formation during the cosmic QCD phase transition in a microscopical model and explores how beyond-Standard-Model physics affects the equation of state and PBH probability distributions as dark matter candidates.
citing papers explorer
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AMPM II. A Lunar-Mass Primordial Black Hole Microlensing Candidate in the Milky Way Halo
A ~60-minute microlensing event is interpreted via Bayesian modeling as a ~0.03 Earth-mass primordial black hole in the Milky Way dark-matter halo.
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LSST: from Science Drivers to Reference Design and Anticipated Data Products
LSST will image 18,000 square degrees of sky about 800 times across six bands over 10 years to a coadded depth of r~27.5, producing a public database of 40 billion objects and 32 trillion observations.
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AMPM I. A Targeted Search for Asteroid Mass Primordial Black Hole Microlenses
AMPM survey detects one microlensing candidate in LMC data and constrains up to 30% of Galactic primordial black hole dark matter at 95% C.L. in the asteroid-to-planetary mass range, with peak sensitivity shifted to lunar masses by second-order effects.
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Primordial Black Holes Formation Beyond the Standard Cosmic QCD Transition
The paper reviews primordial black hole formation during the cosmic QCD phase transition in a microscopical model and explores how beyond-Standard-Model physics affects the equation of state and PBH probability distributions as dark matter candidates.