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School programme

Preliminary activities

https://github.com/ciencialatitud0/EPIC_1/tree/main/Introduction

  • Initial activities done by the students (instructions in the link below).
  • Preparatory session with a tutor (optional attendance).

Day 1 (18/10/2021)

Session 1: Introduction to GIT (9:00 - 10:00)

Tutor: Luis Manzanillas, Max Planck Institute for Physics, Germany

https://github.com/ciencialatitud0/EPIC_1/tree/main/Session_1

  • Welcome
  • What is GIT?
  • How to use?
  • What can I do with GIT?
  • Usage examples

Session 2: Data Analysis with python I (10:00 - 13:00)

Tutora: Lupe Villegas López, Instituto de Óptica IO_CSIC, España

https://github.com/ciencialatitud0/EPIC_1/tree/main/Session_2

  • Read and write data tables
  • Work with data tables
  • Basic statistics
  • Plots with matplotlib
  • Regressions and curve fitting
  • Examples

Day 2 (19/10/2021)

Session 3: Data Analysis with python II (9:00 - 13:00)

Tutor: Wladimir Banda-Barragán, Hamburg University, Germany

https://github.com/ciencialatitud0/EPIC_1/tree/main/Session_3

  • Introduction to HDF5, VTK, and Binary Data Formats
  • Reading and handling data from numerical simulations
  • Array manipulation, and use of conditionals and loops
  • Application to the analysis of 2D simulations of fluid dynamics
  • Computation of integrated quantities
  • Clump finding techniques
  • Visualisation and interpretation of the results

Day 3 (20/10/2021):

Parallel sessions on advanced topics.

Session 4: Image processing (9:00 - 13:00)

Tutor: Andrés Morales Navarrete, Friedrich Miescher Laboratory of the Max Planck Society, Germany

https://github.com/ciencialatitud0/EPIC_1/tree/main/Session_4

  • Explanation about bioimages (i.e. fluorescence microscopy)
  • Bioimage analysis example: quantifying cell morphology from 2D fluorescence micrographs
  • Importing images and plotting images
  • Logical operators (pixel-wise operations)
  • Intensity Transformation
  • Filters and Fourier transformations
  • Segmentation
  • Extracting data from segmented images (e.g. cell area, elongation)

Session 5: Astrophysics (session in English, 9:00 - 13:00):

Tutora: Helga Dénes, Astron - the Netherlands Institute for Radio Astronomy, The Netherlands

https://github.com/ciencialatitud0/EPIC_1/tree/main/Session_5

  • Brief explanation on astrophysics behind galaxies and their neutral hydrogen (HI content).
  • Reading in fits data cubes (3D spectral line data - HI data of a galaxy)
  • Plotting slices of the 3D data cube and making moment maps
  • Downloading astronomical images from a database (for the same galaxy as the HI data)
  • Making an overlay of the HI data onto an optical image
  • Calculating some basic statistics for the spectra
  • Averaging the spectra for the galaxy
  • Calculating the HI mass of a galaxy
  • Fitting a Gaussian to spectra

Day 4 (21/10/2021):

Session 6: Materials science I (9:00 - 11:00)

Tutor: Leonardo Basile, Escuela Politécnica Nacional, Ecuador

https://github.com/ciencialatitud0/EPIC_1/tree/main/Session_6

  • Introduction to Tight binding models in materials

Session 7: Materials science II (11:00 - 13:00)

Tutora: María José Benítez, Escuela Politécnica Nacional, Ecuador

https://github.com/ciencialatitud0/EPIC_1/tree/main/Session_7

  • Magnetism
  • Electron microscopy on magnetic materials
  • Magnetic simulations

Session 8: Particle physics (9:00 - 13:00)

Tutor: Alejandro Gómez Espinosa, ETH Zurich, Switzerland

https://github.com/ciencialatitud0/EPIC_1/tree/main/Session_8

  • Brief intro to data analysis for high energy physics
  • The exercise requires basic knowledge of LHC physics data.
  • How to handle it, how to process it and what to look up to.
  • This exercise uses real data from one of the LHC experiments.
  • Filter the data, make relevant plots and statistically analyze the results.

Day 5 (22/10/2021):

9:00 - 13:00

https://github.com/ciencialatitud0/EPIC_1/tree/main/Student_presentations
Student and final project presentations (12 minutes + 3 minutes for questions)