Home

/

Courses

/Python for Planet hunters
Course | {{title}}

Python for Planet hunters

6 modules

English

<p><strong>An 8-Week Hands-On Project on Exoplanet Detection</strong></p>

Overview

In this 8-week hands-on Project, you will learn the essential techniques of analyzing astronomical data using Python. Designed explicitly for aspiring data analysts and computational astronomers, this course will provide you with the necessary skills and knowledge to identify and interpret astronomical data sets with the help of the Python programming language. Through a combination of theory and hands-on exercises, you will understand how to process, analyze, and visualize astronomical data to make exciting discoveries.

Modules

General

10 attachments • 3 hrs

Announcements

python whatsapp group invite

1 page

Orientation Session: Winter Astrophysics Program 2023

Orientation Session: Winter Astrophysics Program 2023

Day 7 - Formation of stars from molecular clouds and main sequence stage.

Day 7 - Formation of stars from molecular clouds and main sequence stage.

Day 8 - Evolution of low mass of stars, Red giant stage, and White Dwarfs.

Day 9 - Evolution of high maas stars, supergiant stage, and supernova explosion.

Conclusion class - Revealing all the Codes

08/01/24 - Conclusion class - Revealing all the Codes

Final Report Submission

5 attachments • 1 mins

Announcement regarding final report

Format of the Final Report

.zip file - naxxatra template - title page

output-naxxatra_template_title_page

Final Report Submission Tab

Week 1, 2 & 3 - Understanding Python Basics

22 attachments • 6 hrs

Day 1 - Introduction to Python

Day 1 - Basics of Python

Day 1 - Introduction to Python

Day 2 - Loops and Conditionals

Day 2 Loops and Conditionals

Day 2 - Lists, Loops and Function with assignment

Week 1 Assignment

Day 3 - Matplotlib

Day 3 - Plotting graphs using matplotlib library

Day 3 - Matplotlib

Day 4 - Numpy

Day 4 - Numpy

Day 4 - Numpy

Day 5 - Sympy

Day 5 - Sympy

Day 5 - Sympy

Day 6 - Numerical Analysis Theory

Day 6 - Numerical Analysis Codes

Week 3 - Report

Day 10 - Pandas

Day 10 - Pandas

data

Week 4 & 5 - Introduction to Exoplanets and Radial Velocity Method

26 attachments • 2 hrs

Day 11 - Introduction to Exo-planetary science

Day 11 - Introduction to Exo-planetary science

Day 12 - Introduction to the methodology of the project

Day 12 - Introduction to the methodology of the project

RV_Exoplanet

8 pages

51 Pegasi b paper

5 pages

Synthetic_RVCurve_Time (2)

2 pages

Transiting Exoplanets Measuring the Properties of Planetary Systems by Carole A. Haswell

336 pages

More detailed paper on 51 pegasi b

RV - theta plots

GIF

Folding data

Radial Velocity Derivation

Day 13 - Data analysis and Model Fitting of 51 Pegasi

Day 13 - Data analysis and Model Fitting of 51 Pegasi

Day 14 - Data analysis and Model Fitting of 51 Pegasi Part 2

Day 14 - Data analysis and Model Fitting of 51 Pegasi Part 2

Day 15 - Data analysis and Model Fitting of 51 Pegasi Part 3

Day 15 - Data analysis and Model Fitting of 51 Pegasi Part 3

Day 16 - Data analysis and Model Fitting of 51 Pegasi Part 4

Day 16 - Data analysis and Model Fitting of 51 Pegasi Part 4

Day 16 - Data analysis and Model Fitting of 51 Pegasi Part 5

Day 16 - Data analysis and Model Fitting of 51 Pegasi Part 5

Eclipsing binary simulator

Newton Raphson Method in Python

Another reference for Newton Raphson Method in Python

Week 6 & 7 - Stellar spectra in the context of transiting exoplanets

4 attachments • 3 hrs

Day 17 - Transit of Exo-planets

Day 17 - Transit of Exo-planets

Day 18 - Transit spectroscopy

Day 18 - Transit spectroscopy

Week 8 - Report Writing and Final Presentations

FAQs

How can I enrol in a course?

Enrolling in a course is simple! Just browse through our website, select the course you're interested in, and click on the "Enrol Now" button. Follow the prompts to complete the enrolment process, and you'll gain immediate access to the course materials.

Can I access the course materials on any device?

Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.

How can I access the course materials?

Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.

Can I interact with the instructor during the course?

Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.

Rate this Course

×

Order ID:

This course is in your library

What are you waiting for? It’s time to start learning!

Illustration | Payment success

Share this course

https://undefined/courses/Python-for-Planet-hunters-64fee077e4b001cfe7289479

or

×

Wait up!

We see you’re already enrolled in this course till . Do you still wish to enroll again?

Illustration | Already enrolled in course