Uploaded January 2022 | Updated September 2026, 2 weeks ago
Originally broadcast Nov. 27, 2021.
In this webinar, Dr. Larsen discusses "Seeing Spots (Safely): Getting Started in Solar Observing." 2021 is the perfect time to begin observing the closest variable star, our sun. As it awakens from solar minimum, the sun presents the observer with an ever-changing constellation of sunspots and other features. Dr. Larsen will walk you through the basics of solar activity and the techniques that allow you to safely monitor it.
Gabriel Murawski follows with "The MGAB catalog of variable stars." The search of variable stars listed in the MGAB catalog started in 2017 and led to the discovery of more than three thousand new variable stars. His talk is split into three parts: how the catalog evolved through time, how variable stars were found and analyzed, and what the catalog contains, including statistics and the most interesting findings.
If you are interested in becoming involved with AAVSO's Solar Observing Section: aavso.org/solar
If you are interested in joining AAVSO: aavso.org/join-aavso
Our website: aavso.org
Originally broadcast Nov. 27, 2021.
In this webinar, Dr. Larsen discusses "Seeing Spots (Safely): Getting Started in Solar Observing." 2021 is the perfect time to begin observing the closest variable star, our sun. As it awakens from solar minimum, the sun presents the observer with an ever-changing constellation of sunspots and other features. Dr. Larsen will walk you through the basics of solar activity and the techniques that allow you to safely monitor it.
Gabriel Murawski follows with "The MGAB catalog of variable stars." The search of variable stars listed in the MGAB catalog started in 2017 and led to the discovery of more than three thousand new variable stars. His talk is split into three parts: how the catalog evolved through time, how variable stars were found and analyzed, and what the catalog contains, including statistics and the most interesting findings.
If you are interested in becoming involved with AAVSO's Solar Observing Section: aavso.org/solar
If you are interested in joining AAVSO: aavso.org/join-aavso
Our website: aavso.org
![AAVSO How to [Python! Visualizing MESA models with TULIPS]](https://i.ytimg.com/vi/YmwHwGK6Y60/mqdefault.jpg "AAVSO How to [Python! Visualizing MESA models with TULIPS]
AAVSo webinar
Instructor: Eva Laplace (Heidelberg Institute for Theoretical Studies HITS)
Please note: Dr. Laplace has provided links for you to download and install Tulips prior to her presentation: https://www.aavso.org/sites/default/files/education/presentations/How-toTulip_Instructions_12.22.pdf
In this third How to Python! broadcast, Dr. Eva Laplace will teach attendees how to use her Python package, TULIPS, to visualize MESA models. MESA models track the changing temperature, radius, composition, and structure of stars as they evolve, making them valuable tools for stellar researchers; but they are famously difficult to use. TULIPS makes it easy to visualize complex information, allowing you to create beautiful plots and animations showing the changes a star will undergo during its lifetime. Knowledge of basic Python is recommended. Attendees are encouraged to familiarize themselves with TULIPS ahead of time: https://pypi.org/project/astro-tulips/
Our previous How to Python webinars will help you become familiar with Python:
The basics: https://www.youtube.com/watch?v=7eMTgQuKGHA&list=PLnZ_rvnR35rfGTaq4g3kzVOfkna1JeDyX&index=7&t=2s
Finding Frequency Solutions for Variable Star Light Curves: https://www.youtube.com/watch?v=ZhtHBkbTuWY&t=3s
Join us for our 2023 webinars!
www.aavso.org/programs-events")
![AAVSO How to [Python! Finding Frequency Solutions for Variable Star Light Curves]](https://i.ytimg.com/vi/ZhtHBkbTuWY/mqdefault.jpg "AAVSO How to [Python! Finding Frequency Solutions for Variable Star Light Curves]
AAVSO webinar, originally broadcast Oct. 1, 2022.
This is the second session in a three-part series. Basic knowledge of Python is assumed. If youve never used Python before, we recommend installing it and watching AAVSOs recording of the first session (The Basics https://www.youtube.com/watch?v=7eMTgQuKGHA) before watching this one.
Many stars vary in brightness at one or many frequencies. Measuring these frequencies reveals valuable information about the physical properties of the observed systems. This tutorial demonstrates how to measure the frequencies (or periods) of variation in light curve data with the interactive Python package Pyriod. The tutorial will introduce periodograms, significance testing, and the iterative prewhitening algorithm for fitting signals to the data. Attendees will benefit from previous experience with light curves and Python, but this is not required to follow the presentation.
Dr. Bell works with time series photometry from surveys like TESS, Kepler, and the Zwicky Transient Facility. Dr. Bell is the author of the Python package Pyriod for prewhitening frequency analysis of time series astronomical data.")
