Predicting the diversity of photosynthetic light-harvesting using thermodynamics and machine learning. [PDF]
Gray C, Chitnavis S, Buja T, Duffy CDP.
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
The connection between the fastest astrophysical jets and the spin axis of their black hole. [PDF]
Fender RP, Motta SE.
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Research on Star Sensor Imaging Simulation Under Near-Space Hypersonic Non-Equilibrium Flow Conditions. [PDF]
Liao Z +7 more
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Spectral synthesis techniques for supernovae and kilonovae. [PDF]
Jerkstrand A.
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Coronal dimmings and what they tell us about solar and stellar coronal mass ejections. [PDF]
Veronig AM +12 more
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Spotlight on challenges and novel methods in highly multiplexed tissue imaging-based spatial proteomics. [PDF]
Yang L, Yang Z.
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Classification of LAMOST spectra of B-type and hot subdwarf stars using kernel support vector machine. [PDF]
Tahir M +5 more
europepmc +1 more source
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Stellar Spectral Types and the H-R Diagram
2021We know stars are large balls of hot, glowing plasma fueled by the nuclear fusion occurring in their cores. This hot plasma emits blackbody radiation. At the surface of the star, the peak intensity in the spectrum corresponds to the surface temperature of the star. This peak in the spectrum correlates to a wavelength on the electromagnetic spectrum. As
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SPIDER VIII – constraints on the stellar initial mass function of early-type galaxies from a variety of spectral features [PDF]
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