Publications by authors named "D B Glazier"

Article Synopsis
  • Measuring deeply virtual Compton scattering (DVCS) on the neutron is essential for understanding the nucleon's structure through generalized parton distributions (GPDs).
  • Neutron targets help complement data obtained from polarized protons, particularly in determining the poorly understood GPD E, which is crucial for analyzing quark contributions to nucleon spin.
  • The experiment utilized a longitudinally polarized electron beam at Jefferson Lab and the CLAS12 detector to measure DVCS on the neutron for the first time, providing new insights into quark-flavor separation of relevant Compton form factors.
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Does death drive the scaling of life?

Biol Rev Camb Philos Soc

November 2024

The magnitude of many kinds of biological structures and processes scale with organismal size, often in regular ways that can be described by power functions. Traditionally, many of these "biological scaling" relationships have been explained based on internal geometric, physical, and energetic constraints according to universal natural laws, such as the "surface law" and "3/4-power law". However, during the last three decades it has become increasingly apparent that biological scaling relationships vary greatly in response to various external (environmental) factors.

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Metabolism drives various biological processes, potentially influencing the ecological success and evolutionary fitness of species. Understanding diverse metabolic rates is fundamental in biology. Mechanisms underlying adaptation to factors like temperature and predation pressure remain unclear.

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We report the measurement of the helicity asymmetry E for the pπ^{0} and nπ^{+} final states using, for the first time, an elliptically polarized photon beam in combination with a longitudinally polarized target at the Crystal Ball experiment at MAMI. The results agree very well with data that were taken with a circularly polarized photon beam, showing that it is possible to simultaneously measure polarization observables that require linearly (e.g.

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