EPIC 1
School of Programming for Scientific Research 1:
from raw data to physics results
EPIC School (11-14 October 2022)
School of Programming for Scientific Research 1:
from raw data to physics results
General Information
The first edition of EPIC will focus on introducing techniques for data analysis using python as the main tool.
At the end of this workshop, students will be able to perform basic data analysis of unprocessed raw data to extract important information about physical systems.
Date: 18 - 22 October 2021
Format: Online (Zoom)
Duration: 5 days including 1 preparatory session, and 10 tutorial sessions
Certificate:
The issuance of a certificate will depend on the delivery of a code at the end of the School.
Requirements and registration:
Write a letter of motivation (maximum 200 words) and add it to the registration form.
Registration deadline: 30 September 2021
Recommended prerequisites:
Basic programming experience.
Basic knowledge of the English language.
Important dates
Applications deadline: 30 de septiembre de 2021 - Process concluded
Notification to selected candidates: 4 de octubre de 2021 - Process concluded
All applicants should have received an email from:
Please check your SPAM folder and add our email address to your contact book. Our email contains details on the resuls of your application.
For those students selected as participant, please confirm your participation via email to (ciencia.latitud0@gmail.com) until 7 October 2021- Process concluded
EPIC 1: 18 - 22 October 2021
Participants
Selena Barragán, Escuela Politécnica Nacional
Kevin Cárdenas, Escuela Politécnica Nacional
Jennifer Chacón, Escuela Politécnica Nacional
Jorge Chacón, Escuela Politécnica Nacional
Luis Andrés Chicaiza, Escuela Politécnica Nacional
Shirley Cuzco, Escuela Superior Politécnica de Chimborazo
Angie Carolina Dávila Porras, Yachay Tech University
Daniel Gonzalez, Yachay Tech University
David Herrería, Escuela Politécnica Nacional
Marlon Stalin Martínez López, Escuela Superior Politécnica de Chimborazo
Fernando Moncada, Universidad Nacional Autónoma de México
Melany Monroy, Universidad San Francisco de Quito
Elvyn Ojeda, Escuela Superior Politécnica de Chimborazo
Rubén Ortiz, Escuela Politécnica Nacional
Joseth Pachacama, Escuela Superior Politécnica de Chimborazo
Jack Rojas, Escuela Politécnica Nacional
Andy Rubio, Escuela Politécnica Nacional
Valeria Sánchez, Escuela Politécnica Nacional
María Subía, Escuela Politécnica Nacional
Daniel Villarruel, Yachay Tech University
EPIC 1 Program
Preparatory activities:
Initial activities done by the students (instructions under construction).
Preparatory session with a tutor (optional attendance).
Day 1 (18.10.2021):
Session 1) Introduction to GIT
Tutor: Luis Manzanillas, Max Planck Institute for Physics, Germany
What is GIT?
How to use?
What can I do with GIT?
Usage examples
Session 2) Data Analysis with python I
Tutor: Lupe Villegas López, Instituto de Óptica IO_CSIC, España
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
Tutor: Wladimir Banda-Barragán, Hamburg University, Germany
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:
Tutor: Andrés Morales Navarrete, Friedrich Miescher Laboratory of the Max Planck Society, Germany
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):
Tutora: Helga Dénes, Astron, The Netherlands
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):
Parallel sessions on advanced topics.
Session 6) Materials science I:
Tutor: Leonardo Basile, Escuela Politécnica Nacional, Ecuador
Introducción a "tight binding models" en materiales.
Session 7) Materials science II:
Tutor: María José Benítez, Escuela Politécnica Nacional, Ecuador
Magnetismo
Microscopía de electrones in materiales magnéticos
Simulaciones magnéticas
Session 8) Particle physics:
Tutor: Alejandro Gómez Espinosa, ETH Zurich, Switzerland
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):
Student presentations (12 minutes + 3 minutes for questions)
Melany Monroy, Data visualization in regards of particle physics
Elvyn Ojeda, Caracterización Comparativa De La Fluencia De Secundarios Producto del flujo De Rayos Cósmicos en el Sector de la laguna Cóndor Cocha a 5100 Msnm, y la Laguna Quilotoa A 3914 Msnm, para determinar el tipo adecuado de detectores de astropartículas
María Subía, Quantitative analysis and simulation of liquid crystal organization model in human liver tissue
Jack Rojas, Simulation of Elastic Scattering Processes of 1 keV to 10keV electrons in dielectric materials
Final assignment:
Code sent to the assigned tutors.
Statistics EPIC-1
Statistics on applicants:
47 applicants en total, 19 female applicants, 28 male applicants.
Applicants from 9 universities (18 EPN, 15 ESPOCH, 5 Yachay, 4 USFQ, 1 U. E. de Bolivar, 1 ESPOL, 1 U. Central, 1 UNAM de México, 1 U.T. de Manabí).
~27 applicants interested in biophysics and/or materials sciences, ~20 applicants interested in particle physics and/or astrophysics.
Statistics on selected applicants:
20 selected participants, 9 female participants, 11 male participants.
Participants from 7 universities (9 EPN, 4 ESPOCH, 3 Yachay, 1 USFQ, 1 U. E. de Bolivar, 1 ESPOL, 1 UNAM de México)
~12 participants for biophysics/materials sciences, ~8 for particle physics/astrophysics.
About the EPIC school series
With the aim of getting undergraduate science students involved in mini-research projects, which require programming, we have decided to organise a series of workshops that we call "Programming Schools for Scientific Research (or EPIC for its Spanish translation)".
The EPIC series offers participating students the opportunity to strengthen their profiles as researchers by applying modern computational methods for solving real problems, mainly in physics and its related areas.
The format and topics covered will depend on the edition.