Giter Club home page Giter Club logo

intro-to-astro2024's Introduction

Intro-to-Astro-2024

An introductory course to Astronomy Research for aspiring students/researchers/enthusiasts

alt text

Course Website: Link

Registrations have been closed for 2024.

Participants for the 2024 workshop - if you haven't received an email yet, please check your spam folder. If you still cannot find the required details, please reach out to the organizers

Recordings for the course will be uploaded on YouTube: 2024 Playlist

About the Course

Intro2Astro is an introductory 8-week cost-free online course targeted at aspiring students, researchers, and enthusiasts to step foot in the world of astronomy research. This is the 7th year and iteration of the course dedicated to acquainting students, particularly those from communities with fewer astronomy resources, with the basic tools that astronomers need in their research, and the skills they need in order to gain entry into a more formal research project. With exposure and eventual mastering of the skills taught through the course, students will be better prepared to begin research projects either during the semester or over the summer. Combining coding skills with soft skills such as web development, scientific paper reading, and CV creation can give students an edge when applying for formal research internships.

The workshop is led by Fei Dai (University of Hawaii), Howard Isaacson (University of California, Berkeley), and Chetan Chawla.

Dates and schedule

Duration:

Monday, July 1st, 2024 to Monday, August 19th, 2024 (8 weeks)

Sessions:

The live Instructor-led sessions on tools used in astronomy research will be conducted at 5pm Pacific Time on Mondays Virtually on Zoom. The sessions will be uploaded on YouTube later on for asynchronous reference.

Time Commitment:

Students are expected to commit 5-10 hours per week outside of the sessions to the tutorials, assignments, and readings.

Mentor Chats and Q&A:

Students can ask questions and chat with the mentors in Office hours on Discord. They can also interact with their fellow students on the same.

Specific topics include, but are not limited to the following:

  • Introduction to programming (in Python)
  • Creating scatter plots of real astronomical data
  • Fitting transit light curves and modeling radial velocities for exoplanets.
  • Querying online data archives (Gaia, MAST, Exoplanet Archive)
  • Planetary Geology
  • Machine Learning in Astronomy
  • Studying Galaxies
  • Creating professionally oriented research websites and CVs
  • Writing a research proposal on the topic of their choice

Target Audience

Students:

First and second-year undergraduate students, and advanced high school students who are interested in gaining experience in astronomy research but have no previous research experience. There are no prerequisites in terms of content or programming. Although the course is targeted at the above-mentioned group, students from a non-traditional path and those without any affiliation can also apply. No students will be turned away for lack of experience or affiliation, i.e., anyone can sign up to be a part. Please sign up here Registration Form.

Mentors:

Graduate-level students and advanced undergraduates working on astronomy research who are interested in mentoring undergraduate students, developing open-source educational tutorials, and sharing their astronomy inspiration. Please fill out the Mentor Interest Form

Our Goals

After the completion of these tutorials, students will have the skills needed to quickly ramp up on new astronomy research projects, without the need to brush up on basic skills. The astronomy skills will be focused on, but not limited to exoplanet topics. Students are encouraged to use these skills to explore other realms of Astronomy. Once you have completed all of the tutorials, you will be well-qualified for a paid internship in astronomy research. Many of these opportunities fall under the title: Research Experience for Undergraduates and serve as an excellent way to become qualified for graduate studies in astronomy.

The Future of the Project:

We hope this project becomes self-sustaining in such a way that others can contribute and add value to the current set of research skills presented here. If you have questions, comments, or ideas, please feel free to contact us through the issue tracker on this repo. If you work in another field such as biology, chemistry, another specialty within astronomy, and are interested in replicating this project for your specific field, please email me directly.

Code of Conduct

We strive to maintain a welcoming and supportive community for everyone regardless of race, religion, background or identity. For more details, see our Code of Conduct page.

intro-to-astro2024's People

Contributors

chetanchawla avatar fdai-planet avatar howardisaacson avatar cartilage-ftw avatar

Stargazers

 avatar Harsha avatar  avatar John Rowen Miano avatar Naisha Vatsya avatar Saliha DİL avatar  avatar  avatar Islam Fathallah avatar Emir Kaan Özdemir avatar Metino avatar  avatar Hüseyin YARAR avatar Mehmet Cam avatar K avatar Esra  avatar Ramazan avatar Joshua Liberman avatar Fatih Özcan avatar Cevheri avatar Bilge Balga avatar  avatar  avatar Nirajan Dhakal avatar

Watchers

 avatar  avatar  avatar

intro-to-astro2024's Issues

Problem rendering figure in Lee 2018 paper from Arxiv

On Macs, the one figure in the Lee 2018 paper (Fig. 1, on p. 6) does not seem to render properly, at least not in Preview or Safari.

Downloading the source from Arxiv, from https://arxiv.org/src/1804.08907 , provides a zip file which includes the file foo-eps-converted-to.pdf , which is apparently a PDF version of the EPS original, foo.eps, which is what is referenced in the LaTeX source.

Renamed to show its relationship to the paper, it's here:
Lee-2018-Exoplanets-Fig1.pdf

It would probably be useful to include the figure in the instructions for Week 1, if others are also having this problem.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.