Leiden University Scholarly Publications

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(1 - 10 of 10)
A statistical and machine learning approach to the study of astrochemistry
IXPE observations of the quintessential wind-accreting X-ray pulsar Vela X-1
Investigating the impact of reactions of C and CH with molecular hydrogen on a glycine gas-grain network
Understanding molecular abundances in star-forming regions using interpretable machine learning
X-ray polarimetry of X-ray pulsar X Persei
Determination of X-ray pulsar geometry with IXPE polarimetry
Identifying the most constraining ice observations to infer molecular binding energies
The x-ray polarimetry view of the accreting pulsar Cen X-3
Exploiting network topology for accelerated Bayesian inference of grain surface reaction networks