In the two-dark-dimensions framework, memory-burden-suppressed primordial black holes can comprise all dark matter from 10^{-3} g to 10^{21} g and generate stochastic gravitational waves detectable by LISA, DECIGO, and pulsar timing arrays, with complementary collider signals.
Benediktet al., Future Circular Hadron Col- lider FCC-hh: Overview and Status, (2022), arXiv:2203.07804 [physics.acc-ph]
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A hyper-graph neural network improves discrimination of four-top production at 13 TeV, raising expected significance from 5.13 to 9.11 and enabling projected 95% CL limits on five dimension-six SMEFT Wilson coefficients at current and HL-LHC luminosities.
In a vector dark matter extension of the Higgs portal, far detectors at colliders can probe otherwise inaccessible parameter space and set novel bounds on the reheating temperature.
citing papers explorer
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Probing Two Dark Dimensions through Primordial Black Holes, Gravitational Waves, and Colliders
In the two-dark-dimensions framework, memory-burden-suppressed primordial black holes can comprise all dark matter from 10^{-3} g to 10^{21} g and generate stochastic gravitational waves detectable by LISA, DECIGO, and pulsar timing arrays, with complementary collider signals.
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Probing SMEFT Operators through $t\bar{t}t\bar{t}$ Production with Hyper-Graph Neural Networks at the LHC
A hyper-graph neural network improves discrimination of four-top production at 13 TeV, raising expected significance from 5.13 to 9.11 and enabling projected 95% CL limits on five dimension-six SMEFT Wilson coefficients at current and HL-LHC luminosities.
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Can LLP detectors probe the reheating temperature? A case study of vector dark matter
In a vector dark matter extension of the Higgs portal, far detectors at colliders can probe otherwise inaccessible parameter space and set novel bounds on the reheating temperature.