Course Name: Observational Cosmology

Credits: 1.5

Level: Undergraduate/Graduate

Pre-requisite: Advanced mathematics, undergrad physics

Lecture Time: 30 sessions (45 minutes per session)

Course Description: As a fundamental course in observational cosmology for undergraduate and graduate students, this course focuses on large galaxy surveys and cosmological implications. This course covers the fundamentals of theoretical cosmology and observational cosmology including data analysis, numerical simulations and parameter estimation, as well as latest developments of observational cosmology.

Topics
1. Basics of theoretical cosmology (8 sessions)
1.1.   Brief history of the Universe (2 sessions)
1.2.   Fundamental principles and concepts of cosmology (2 sessions)
1.3.   Fundamentals of General Relativity (4 sessions)
2. Fundamentals of observational cosmology (6 sessions)
2.1.  Fundamental principals and concepts of observational cosmology (2 sessions)
2.2.  Basics of data analysis (2 sessions)
2.3.  Parameter estimation (2 sessions)
3. Data analysis of large galaxy surveys (12 sessions)
3.1.   Brief introduction of large galaxy surveys (1 session)
3.2.   Measurement of two-point correlation function multipoles (3 sessions)
3.3.   Measurement of power spectrum multipoles (3 sessions)
3.4. Mock galaxy catalogs (1 session)
3.5.  Baryon Acoustic Oscillations (2 sessions)
3.6. Redshift Space Distortions (2 sessions)
4. Cosmological Implications (4 sessions)
4.1.  Dark energy (2 sessions)
4.2.  Modified Gravity (2 sessions)

Grading:
Exam (40%) + Homework (20%) + Paper and presentations (40%)


Recommended text books:
Cosmological Physics (John A. Peacock)
Modern Cosmology (Scott Dodelson)


Lecture notes:
Lecture 1 (March 8, 2019)
Lecture 2 (March 12, 2019)
Lecture 3 (March 15, 2019)
Lecture 4 (March 19, 2019)
Lecture 5 (March 22, 2019) Datafiles code
Lecture 6 (March 26, 2019)
Lecture 7 (March 29, 2019)
Lecture 8 (April 2, 2019) code Latex_template
Lecture 9 (April 9, 2019)
Lecture 10 (April 12, 2019)
Lecture 11 (April 16, 2019)
Lecture 12 (April 19, 2019)
Lecture 13 (April 23, 2019)
Lecture 14 (April 26, 2019)
Final Exam (April 30, 2019)