- Herramientas de Python
- La materia contiene en su parte práctica ejemplos de aplicaciones en Python con lo cual se recomienda estar familiarizado con este lenguaje de programación.
- The Review of Particle Physics
- Resumen de Probabilidad y Estadística del Review of Particle Physics.
- ATLAS (CERN-LHC) Open Data
- ATLAS Open Data provides open access to proton-proton collision data at the LHC for educational purposes. Designed in collaboration with students and teachers, ATLAS Open Data resources are ideal for high-school, undergraduate and postgraduate students – or even enthusiastic self-learners! So whether you have an hour or a semester, try your hand at analysing the 13 TeV proton-proton collision data recorded by the ATLAS Experiment. Create a simple histogram, write and visualise a particle-physics analysis directly from your internet browser, or download the full resources to take a deep-dive into the ATLAS analysis framework and re-discover the Higgs boson!
- Pierre Auger Observatory Open Data
- Pierre Auger Observatory Auger Open Data can be used in programming applications such as Python notebooks. Some examples are provided in this page, as well as a tutorial to introduce Python and Auger Open Data. You can download and modify them for your own purposes or run them online in your web browser.
- An introduction to Bayesian inference in gravitational-wave astronomy
- Introducción a la inferencia bayesiana y estimación de parámetros con ejemplos de la astronomía de ondas gravitacionales.
- How Much Impact Can Rounding Have?
- How to Round Numbers in Python.
- Protocolo estadístico para evaluar la eficacia de la vacuna covid en fase 3
- En la página 15 está comentado el protocolo estadístico para evaluar la eficacia de la vacuna covid en fase 3, basado en determinar P[VE>0.30|data].
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- Likelihood-based tests of new physics
- Tests estadísticos para uso en búsquedas de nuevos fenómenos en física de altas energías
