Syllabi
Physics
▶ Outline
Theoretical Physics
References
- Classical physics, lecture series by Prof. V. Balakrishnan
- Quantum physics, lecture series by Prof. V. Balakrishnan
- Mathematical physics, lecture series by Prof. V. Balakrishnan
- Stochastic processes, lecture series by Prof. V. Balakrishnan
- Nonlinear dynamics, lecture series by Prof. V. Balakrishnan
- Nonequilibrium statistical mechanics, lecture series by Prof. V. Balakrishnan
Applied Physics
References
Introduction to Astronomy
▶ Outline
- Overview: Historical Importance and Present-day Relevance
- Thought Experiment: Using Astronomy Knowledge to Survive on a Deserted Island
- Celestial Navigation
- Timekeeping
- Harvesting Resources in Sync with Cycles and Seasons
- Electromagnetic Spectrum
- Interaction of Light and Matter
- Light as a Wave and Particle
- Reflection, Refraction, and Diffraction
- Absorption and Emission
- Scattering, Interference, and Polarization
- Mapping the Sky
- The Sun
- Stars
- Color of Stars
- Spectral Types
- Formation and Evolution Models
- Stellar Atmosphere Models
- References
- Article: Size of the Sun
- Review: Theory of star formation, 2007
- Review: Star formation in molecular clouds
- Review: Formation and early evolution of low-mass stars and brown dwarfs
- Review: Observations of brown dwarfs, 2000
- Review: Stellar pulsations across HR diagram, 1995
- Code: Interactive HR diagram with spectra
- Code: Star formation simulation
- Animation: Star in a Box
- Code: Stellar evolution visualization
- Code: Computational modeling of a star
- Solar System: In-situ Observations
- Mars Curiosity and Perseverance Rovers
- Juno Mission to Jupiter
- Cassini Mission to Saturn
- New Horizon Mission to Pluto
- Voyager Space Probe Missions to Interstellar Space
- References
- Earth: Looking Up and Looking Down
- Earth Observation: Copernicus Program
- Living, Breathing World: Google Earth timelapse
- Planets
- Structure: Core, Atmosphere
- Formation: N-body using REBOUND
- Evolution: Radius, Atmosphere, Orbit
- Exoplanets
- Detection
- Statistics
- Surprising Discoveries
- Astrobiology
- Supernovae, Black Holes, Neutron Stars, White Dwarfs, Pulsars, Magnetars, AGNs, GRBs, FRBs, and Gravitational Waves
- Review: Most luminous supernovae
- Review: Coevolution of galaxies and supermassive black holes
- Review: Masses, radii, and the equation of state of neutron stars
- Review: Neutron star merger
- Review: Cool white dwarfs, 2003
- Review: Unified model of Active Galactic Nuclei
- Review: Fast Radio Burts: extragalactic enigma
- Review: Gamma-Ray Burts afterglows, 2000
- Review: Mergers and gravitational waves
- Milky Way
- Galaxy: Structure, Formation, and Evolution
- Cosmology
- Structure: Flat, Curved, Open, or Closed?
- Composition: Matter, Dark Matter, Dark Energy
- Formation: Cosmic Microwave Radiation and the Big Bang
- Evolution: Hubble’s Experiment and the Expanding Universe
References
- Teaching Philosophy
- Lecture series: Cosmic origins of elements
- Jason Kendall’s Intro to Astronomy course
- Animations
- Lecture notes by Mitch Richmond
- Lecture series by Richard Wolfson
- Science Talks @ Google
- Annual review of A&A
- Publications of the Astronomical Society of the Pacific
- Review: Best practices in Astronomy education
- Book: Astronomy education
- Channel: CrashCourse Astronomy
- Channel: SciShow Space
- Channel: Dr. Becky
- Channel: Brian Keating
- Channel: Fraiser Cain
- Channel: Cool Worlds
- Channel: NASA Sagan Summer Workshop
Miscellaneous readings
- Astronomical reach of fundamental physics by Burrows & Ostriker
- What made Apollo a success by George Low
Tools
Astronomical Observation and Data Analysis
▶ Outline
- Atmospheric Windows: Which wavelengths are best for observing different targets?
- Blackbody Radiation
- Earth’s Atmosphere
- Science Goals: What and Why to observe
- Planning: How to observe the target
- Ground-based and Space-based Observations
- Observing Constraints
- Where is it? Coordinates
- Is it observable tonight? Rising and Setting Times
- North and South Hemispheres
- Weather: Cloud, Humidity, Turbulence
- Moon
- Satellite Trails
- Signal-to-Noise
- Exposure Time
- Filters
- Engineering: Science vs Cost
- Telescope Design and Operation
- Tracking and Auto-guiding
- Instrumentation
- From Analog to Digital: Photographic Plates and CCD
- Pixel Sensitivity
- Pixel Scale
- Field-of-View
- Total Telescope-Instrument Throughput
- Telescope Design and Operation
- Data Reduction with Astropy
- Dark Current: Dark Frame Subtraction
- Flat Field: Flat Frame Division
- Background Subtraction
- Bad/Hot Pixels
- Image alignment and registration
- Plate-solving with Astrometry.net
- World Coordinate System (WCS)
- Photometry with Photutils
- Aperture Photometry
- Optimizing Aperture Size and Shape
- PSF Photometry
- Treatment of Outliers
- Weather: Cloud, Humidity, Turbulence
- Other Unaccounted Effects (Systematics)
- Saturation
- Cosmic Rays
- Aperture Photometry
- Barycentric Time Correction (MJD to BJD Conversion)
- Light Travel Time Delay
- Transit Modeling
- Period Search, Periodogram
- Spectroscopy
- using specutils
- Cross-correlation
- RV Modeling
- Basic Model
- Parameterization
- Joint RV+Transit Modeling
- Python Basics
- using numpy
- Using Jupyter Notebook / Lab / Google Colab
- Version Control with Git and GitHub
- Reproducible research
References
- Datalab notebooks
- Open datasets
- lab demo: Optics
- Lecture series: Astronomical Techniques by Chris Mihos
- database: NASA exoplanet archive
- Book: Experimental astrophysics
- Review: Reference frames in Astronomy, 1999
- Astropy’s CCD guide
- Jason Kendall’s course
- Growth Astronomy School
- Review: Standard photometric systems
- Review: Digital image reconstruction
- Book: Numerical Python in A&A, Springer
- Lecture series: Introduction to Computer Science & Programming with Python
Statistics & Algorithms
▶ Outline
- Statistics
- Linear Algebra
- Probability Distributions
- using scipy.stats
- Book: astroML
- Analytical methods
- using wolfram alpha
- using sympy
- Bayesian vs Frequentist Statistics
- Fitting Models to Data
- Coursebook by neuromatch
- notebooks
- Implementation using bambi
- Optimization
- using scipy.optimize
- using jax
- Monte Carlo Methods
- Likelihood, Prior, Posterior
- Propagation of Uncertainties
- Metropolis-Hastings MCMC from scratch
- Affine-invariant MCMC using emcee
- Nested Sampling
- Hamiltonian Monte Carlo
- No U-Turn Sampler using pymc
- Sampling methods demo
- Samplers from scratch
- Implementation using bilby
- Convergence Tests
- Autocorrelation
- Evidence
- Model comparison
- Reporting MCMC Results
- article
- Posteriors vs Point Estimates
- Percentiles
- Visualization
- using arviz
- paper
- blog: information is beautiful
- picking colors using color brewer
- Gaussian Process Regression
- Hierarchical Modeling
- using pymc
- Machine Learning
- using astroml
- Neural Networks
- Deep Learning
- Miscellaneous
- Art of Code by Dylan Beattie
- Imaginary numbers
- Mandelbrot
- Conway’s Game of Life using seagull
- Calculus
References
- Web course: Neuromatch
- Web course: Computation astrophysics
- Lecture series: Statistics & Machine Learning in Astronomy
- Lecture series: Fundamentals of statistics
- Lecture series: Introduction to probability
- Lecture series: Stochastic processes
- Lecture notes: Astrostatistics
- Review: MCMC methods for Bayesian data analysis in Astronomy
- Lecture series: Metaprogramming
- Lecture series: Mathematical methods
- Channel: IT & networking fundamentals
- Lecture series: missing semester in CS