Logistics

When

Talks will be monthly on the third Wednesday of each month at 11 am East coast time (US) via Zoom.

Format

Each VAST will consist of two 20 minute talks followed by an open discussion.

Upcoming VAST seminars

Sept 18, 2024: Simulations on GPUs

  • Ben Wibking (MSU): Quokka—a two-moment radiation hydro code with adaptive mesh refinement.
  • Evan Schneider (Pitt): Cholla—a 3D GPU-based hydro code.

Oct 16, 2024

  • Michelle Lochner: astronomaly—A flexible framework for anomaly detection in astronomy.
  • Tomáš Plšek: CADET—a machine learning pipeline for identification of X-ray cavities on noisy Chandra images

Nov 20, 2024

Dec 18, 2024

Past VAST seminars

Aug 21, 2024: no seminar. Enjoy the summer!

July 17, 2024 (canceled)

June 19, 2024: no seminar (Juneteenth holiday)

May 15, 2024

  • Will Barnes: sunpy—the community-developed, free and open-source solar data analysis environment for python.
  • Nick Murphy: PlasmaPy—a python library for plasma research and education.
  • : recorded presentation

Dec 20, 2023: Enjoy the Holidays

Oct 18, 2023: Rad Hydro

Sept 20, 2023: ExoVAST!

  • Joe Renaud (Maryland / NASA Goddard): NASA Goddard’s Exoplanet Modeling & Analysis Center and exoVAST
  • David Rice (Open University Israel): Solving and visualizing planet interiors with MAGRATHEA
  • : recorded presentation

August: no seminar. Enjoy the summer!

July 19, 2023: Teaching Computational Astrophysics (lightning talks + open discussion)

  • Devin Silvia (MSU)
  • Stella Offner (UT Austin)
  • Ari Maller (CUNY City Tech)
  • Michael Zingale (Stony Brook)
  • : recorded presentation

June 21, 2023: Grad lightning talks

  • Emily Bordeaux (Dartmouth)
  • Fergus Baker: General relativistic ray tracing with Gradus.jl (University of Bristol) [slides]
  • Hui Yang: Multiwavelength machine learning classification with MUWCLASS (The George Washington University)
  • : recorded presentation

May 17, 2023: Joint Seminar with SciCodes

A panel discussion on publishing, indexing, discovering, and citing scientific software.
  • Simon Hettrick (SSI)
  • Lauren Cadwallader (PLOS)
  • Edwin Henneken (ADS)
  • Alice Allen (ASCL)
  • : recorded presentation

April 19, 2023: lightkurve & light-curve

  • Rebekah Hounsell: lightkurve a python package for working with Kepler and TESS data
  • Konstantin Malanchev: light-curve a RUST/python package for time-series analysis of ZTF and VRO/LSST
  • : recorded presentation

March 15, 2023: prose & CASA

  • Lionel Garcia: prose: a python tool for astronomical image pipelines
  • Bjorn Emonts: CASA: the Common Astronomy Software Applications package for processing ALMA and VLA data
  • : recorded presentation

Feb 15, 2023: Firefly & NEMO...

  • Alex Gurvich: Firefly: a WebGL interactive particle viewer
  • Peter Teuben: NEMO: a toolbox for stellar dynamics, particle sims, stellar orbits, and more
  • : recorded presentation

Jan 18, 2023: MESA & TULIPS

  • Frank Timmes: MESA: an open-source 1D stellar evolution software instrument
  • Eva Laplace: TULIPS: Tool for Understanding the Lives, Interiors, and Physics of Stars
  • : recorded presentation

Dec 21, 2022: Lightning Talks

  • Neven Caplar: LSSTseries: a package for working with LSST time series data
  • Sally Dodson-Robinson: NWelch: a python implementation of Welch's method for power spectra and more
  • Camilla Pacifici: Jdavis: a package of astronomical data analysis vis tools for Jupyter
  • Alexander Smith Clark: pynucastro: a python library for nuclear astrophysics
  • Anowar Shajib: lenstronomy: a package for modeling strong gravitational lenses
  • : recorded presentation

Nov 16, 2022: TARDIS & GaiaXPy

  • Andrew Fullard: TARDIS: an open-source Monte Carlo radiative-transfer code
  • Daniela Ruz-Mieres: GaiaXPy: A python library for handling Gaia BP/RP spectra
  • : recorded presentation

Oct 19, 2022: AstroPy & yt

  • Erik Tollerud: AstroPy: a community common core package for Astronomy in python
  • Matt Turk: yt: a framework for analysis and visualization in python.
  • : recorded presentation

Sept 21, 2022: Stingray & PINT