Astrophysics

Plasmas exhibit a wide range of behaviors across fluid and kinetic regimes, governing key processes in diverse laboratory, space, and astrophysical environments. Understanding these systems requires numerical models with varying levels of physical...

Iron (Fe) is the most abundant element on Earth by mass, and all lifeforms on Earth evolved to utilize Fe for critical biochemical functions. Quantitative measurement of biological iron in cells, tissues, and the human body can reveal important...

21 cm cosmology -- the concept of using radio telescopes to observe the highly redshifted 21 cm line of neutral hydrogen on cosmological scales -- is a field with tremendous scientific potential.   After nearly 20 years of experimental effort...

Abstract: The Lambda-CDM cosmological model predicts a wealth of small-scale structures, including dark matter subhalos residing within more massive halos such as that of our own Milky Way Galaxy. Some of these subhalos may be massive enough to host...

The Bahcall Lunch follow the astrophysics colloquium lecture. Registration is required by noon the previous Thursday so a meal can be provided.

The chemical evolution of galaxies traces a host of physical processes: the accretion of intergalactic gas, feedback-driven outflows, and nucleosynthesis via stars and supernovae. A major goal of current galaxy surveys is to characterize these...

Growth structure probes have long been consider an indispensable tool for the study of dark energy. In this talk, I will present an analysis of the abundance of DES galaxy clusters to argue against the dynamical dark energy interpretation of the...

Galaxies regulate star formation through the baryon cycle, the continuous exchange of mass and energy with their surroundings. Understanding this process requires connecting theoretical predictions to direct observations of gas flows. Using a new...

Abstract: Gravitational-wave astronomy is entering a regime in which detections are sufficiently numerous to support population-level statistical inference. The standard tool is hierarchical Bayesian inference, which is powerful but does not...