Wine and Cheese Spring 2022

This page records the schedule, titles and abstracts of the JHU/STScI CAS Astrophysics Wine & Cheese Series in Spring 2021.

Wine and Cheese sessions with one speaker will have a 50 minute talk with 10 minutes for questions. Sessions with two speakers will have two 25 minute talks, each with 5 minutes for questions. Sessions in the Graduate Student Series will have three 15 minute talks, each with 5 minutes for questions.

7 February

Ari Cukierman (Stanford)

The Oscillating Sky: BICEP as an axion direct-detection experiment
I will describe how a CMB telescope can function as a direct-detection experiment for axion-like dark matter, and I will present first demonstrations with data from the BICEP series of experiments. A local axion field induces all-sky oscillations in CMB polarization. For axion masses between 1e-23 and 1e-18 eV, the oscillation periods are on the order of hours to years. As CMB scan strategies typically involve repeated observations over many years, we can set limits on the axion-photon coupling constant by searching for time variability in CMB polarization with data that have already been gathered. The expected sensitivity of current-generation CMB experiments is at the level of the leading axion limits in this mass range, and the search will continue with next-generation instruments.

14 February

Andrea Antonelli (JHU)

Approximating Gravitational Wave-Forms
The successes of gravitational-wave (GW) astrophysics rely on our ability to filter GW signals out of data. For this, accurate predictions from the relativistic two-body problem are needed. Two approaches are usually pursued: one can solve the Einstein equations numerically on supercomputers, or analytically within approximation schemes. The latter scheme gives less accurate, but faster-to-compute signal waveforms, and it forms the basis for the models used in LIGO-Virgo-KAGRA search and inference pipelines. I will discuss these approximation relativistic solutions, focussing mainly on their synergies.

Lara Cullinane (JHU)

The Magellanic Edges Survey (MagES)
I’m a new JHU astronomy postdoc, working with Karrie Gilbert on M33/M31. However, in this talk, I’ll discuss my previous thesis work on the Magellanic Edges Survey, or MagES, which kinematically maps the extremely low-surface-brightness periphery of the Magellanic Clouds. We use a combination of Gaia astrometry and spectroscopically-derived radial velocities, obtained with 2dF+AAOmega on the Anglo-Australian Telescope, to determine the first 3D kinematics for a wealth of stellar substructure extending to distances beyond 23 degrees from the Clouds’ centres. Our initial results focus on the LMC. We reveal a large northern substructure that, due to its discrepant kinematics relative to the LMC disk, was likely formed in ancient interactions with the SMC, and subsequently strongly influenced during a recent interaction with the Milky Way; and several structures in the southwestern LMC that new dynamical models reveal were likely formed in interactions with the SMC 400+Myr ago. These are the first kinematic constraints on the dynamical history of the Clouds prior to their most recent close passage, and represent an enormous step forward in understanding their complex interactions.

21 February

Kedron Silsbee (MPE)

Cosmic Rays in the Context of Star Formation: Effects and Propagation
Cosmic rays alter the chemistry and dynamics of the molecular gas that collapses to form young stellar systems. Despite this, their abundance, particularly in denser regions, remains uncertain. Although cosmic rays in distant locations are not directly observable, we can infer their presence in molecular clouds from chemical tracers of gas ionization, gamma ray and synchrotron emission and enhanced gas temperature.  These suggest that while cosmic rays above approximately 1 GeV propagate freely into clouds, lower energy cosmic rays are excluded from the denser gas. This is qualitatively in agreement with predictions from theoretical models of cosmic ray attenuation. However, depending on the physics that dominates the propagation, the degree of attenuation varies significantly, and current data is insufficient to distinguish between the models. In this talk I will give an overview of the different transport regimes thought to play a role (diffusion, free propagation, and self-modulation), and what predictions these make for the variation of the ionization rate with gas density.  The propagation of cosmic rays is influenced by the properties of small-scale turbulence in the interstellar medium.  I will then also discuss some recent related work I’ve done on the damping of MHD turbulence due to radiative cooling.

28 February

Gabriele Sato-Polito (JHU)

Combining Voxel Intensity Distributions and Intensity Mapping Power Spectra
Line-intensity mapping (LIM) is a promising technique to study the high-redshift Universe. Two of the main proposed summary statistics to study such maps are the LIM power spectrum and the voxel intensity distribution (VID), which is an estimator of the 1-point temperature probability distribution function. A joint analysis of the two observables has been shown to significantly reduce the uncertainties on theoretical parameters at cosmic noon (z=2~3) and has the potential to help break the degeneracy between astrophysics and cosmology. I will discuss the VID and the LIM power spectrum, the benefits of a joint analysis, and the first derivation of an analytical covariance between them. These results allow for general joint analyses of the VID and the line-intensity mapping power spectrum.

Danielle Sponseller (JHU)

Modeling CMB Foregrounds Using the Moment Method
As CMB polarization experiments become increasingly sensitive, foregrounds must be modeled and subtracted with greater accuracy to avoid biasing the recovered primordial B-mode signal. In particular, the thermal dust emission spectrum is expected to be far more complex than a single modified blackbody model due to variations in dust temperature both along the line of sight as well as across the sky. Here we investigate whether bias can be reduced to negligible levels without prior knowledge of the underlying distribution of dust temperatures. We use a moment expansion technique to model the emission spectrum of an unknown continuous dust temperature distribution. We then perform noiseless component separation simulations within a single pixel using three sample dust distributions and evaluating the spectra in the PICO frequency bands. We find that using the moment method can reduce bias to negligible levels while making minimal assumptions about the underlying dust physical parameters.

7 March

Avi Shporer

Exoplanet Atmospheres with Orbital Phase Curves in the Space Age
We are living in the golden age of time series photometry, when large amounts of high-quality data are delivered by space-based surveys in visible light. This enables a detailed study of the minute variability following the orbital motion of star-planet systems. These orbital modulations are induced by atmospheric and gravitational processes, hence the phase curve shape contains information about the companion’s atmospheric characteristics and mass. I will present the science done with phase curves (reviewed in Shporer 2017). This includes the investigation of hot Jupiter exoplanet atmospheres where in one study we showed that the atmospheres of many exoplanets have their optical brightest region shifted Westward of the substellar point, indicating an inhomogeneous cloud coverage. We are now conducting a systematic full-sky study of phase curves of gas giant planets using data from the NASA TESS Mission. I will present the current results of our study, which is ongoing as TESS continues to survey the sky. I will also present a few examples of the science done with the phase curves gravitational component, shaped by the mass of the companion. As a whole, the above demonstrates the high scientific potential of the study of space-based phase curves.