Relativistic plasmas are central to the study of black hole
accretion, jet physics, neutron star mergers, and compact object
magnetospheres. Going beyond common approaches used in the
literature, I will describe a fully relativistic covariant
14...
I will present a review of how deep learning is used in
astrophysics, and how this use is often misguided. I will introduce
the term “scientific debt,” and argue that, though deep learning
can quickly solve a complex problem, its success does not...
In this talk, I will briefly discuss our work on understanding
the 3D morphology of magnetic fields associated with molecular
clouds. To study the 3D magnetic fields, we first proposed and
demonstrated a new technique to determine the line-of-sight...
The 21 cm line of atomic hydrogen (HI) provides a powerful probe
of the cool-to-warm interstellar gas in galaxies. Virtually all
star-forming galaxies contain a cool neutral component of their
interstellar medium representing the fuel reservoir from...
Stellar cluster populations in the Local Universe show a wide
range of properties, suggesting that these objects form via a
unique physical channel, and that their demographics are shaped by
their formation and evolution in an evolving cosmic...
A rich variety of wave phenomena exist in virtually every region
of the geospace environment. Understanding of the various
wave signatures and driving mechanisms provided insight into the
local conditions, not only at the instant that the waves are...
Abstract: What happens when two masses scatter? This
deceptively simple question has produced a series of surprises that
touch on deep issues in general relativity, such as the
localizability of gravitational field energy, the notion of
asymptotic...
Abstract 1: Despite the success of LCDM model, there is a
growing tension between measurements of the current expansion rate
from the local distance ladder and from the cosmic microwave
background (CMB). Known as the $H_0$ tension, this...
I will present results from the Planet Hunters TESS (PHT)
project, which harnesses the power of citizen science to find
transit events in the TESS data by engaging tens of thousands of
volunteers. To date, PHT volunteers have classified all two...
