TEACHING


Galaxy Formation and Evolution

PART ONE:  OBSERVATIONS

  • Cosmological Framework
  • Local Galaxies
  • Local Star-forming Galaxies
  • Local Quiescent Galaxies
  • Local Galactic Environment
  • Distant Galaxies

 


Download lecture notes: part one

 PART TWO:  THEORY

  • Dark Matter Halos
  • Baryonic processes 
  • Formation of Primeval Galaxies
  • Formation of Galaxy Components
  • Assembly History of Galaxies
  • Numerical Simulations

 


Download lecture notes: part two



Statistical Methods for Astrophysics and Cosmology

 PART ONE

 

Probability

Theory

 

 

  • Probability and probability distributions
  • Multivariate and conditional distributions
  • Binomial, negative binomial and geometric distributions
  • Gamma, exponential and chi-squared distributions
  • Power-law (Pareto) distributions
  • Gaussian (uni- and multi-variate) distributions
  • t- and F-distributions, Student's theorem
  • Stochastic convergence, central limit theorem

Download lecture notes: part one

PART TWO

 

Statistical

Inference

 

 

  • Samples, statistics and estimators
  • Point estimation and Fisher information
  • Interval estimation
  • Resampling techniques
  • Hypothesis testing
  • Information, entropy and priors
  • Kolmogorov-Smirnov nonparametric testing
  • Regression and correlation
  • Sufficiency and completeness

 


Download lecture notes: part two

PART THREE

 

Advanced

Topics

 

 

  • Fourier analysis of time series
  • Markov Chain Montecarlo (MCMC) and Hamiltonian Montecarlo (HMC)
  • Machine and statistical learning
  • Introduction to Neural networks  
  • Astronomical and cosmological applications
  • Tutorials on Artificial Neural Networks (by Dr. Nicoletta Krachmalnicoff) 

 

 


Download lecture notes: part three