Session
Fahrplan - Hauptprogramm 36C3
Science

Grow your own planet

How simulations help us understand the Universe
This year the Nobel prize in physics was awarded to three astronomers changing the understanding of the Universe and finding the first exoplanet. This is a good reason to dive into astronomy, numerics, and programming and to learn how modern astronomy creates the pictures and models of the reality we observe in the night sky. Let’s find out together how we can simulate the Universe and grow new planets – computationally!

In all ages people have gazed at the stars and tried to grasp the dimensions of the Universe and of the teeny-tiny marble we call our planet and wondered how unique it actually is. From the ancient geeks to Johannes Kepler to modern times we slowly advanced our understanding of the sky and the laws necessary to describe the orbits and evolution of all its objects. Nowadays computational power has greatly increased. So we can further our understanding of the Universe from basic, analytically computable orbits to the challenge of turbulent gas flows – only accessible with numerical simulations.

Let's go on a journey through space and compare the data we observe with breath-taking accuracy using instruments like ALMA, VLT, Gaia, and Hubble Space Telescope to numerical simulations now possible due to computer clusters, multi-core CPU and GPU-calculations. We want to explore the physics and numeric algorithms we need to comprehend the Universe and travel to the unexplained territory of problems we can not quite solve yet.

We present three state-of-the-art hydrodynamics programs: PLUTO (by A. Mignone), FARGO3D (by P. Benítez Llambay and F. Masset) and AREPO (by V. Springel). All of them are free open source software and commonly used in research worldwide. Using their example, we demonstrate how hydrodynamics recreates many of the things we see in the sky, including planets.

Simulations teach us how rare the formation of Earth was and show that there is no alternative planet in reach. In modern times we humans continue to gaze at the stars. Even without Planet B in sight, we are still fascinated with what we see. Numerical methods help us satisfy our thirst for knowledge and accelerate the research of the Universe.

Additional information

Type lecture
Language English

More sessions

12/27/19
Science
Sebastian Pischel
Clarke
Wir verlassen uns in unserem Alltag permanent auf die Verfügbarkeit von elektrischer Energie. Aber wenn wir vom dauerhaften Betrieb von Kraftwerke, die fossile Energieträger verbrennen, wie stellen wir die Versorgung sicher, wenn nachts kein Wind weht? Elektrolyse oder Pumpspeicherkraftwerk? Superkondensatoren oder mechanische Speicher? Was geht heute überhaupt schon? Ähnlich unklar ist die Zukunft der Mobilität, wenn Verbrennungsmotoren von unseren Straßen verschwinden sollen. ...
12/27/19
Science
Clarke
The Large Hadron Collider (LHC) is the biggest particle accelerator on Earth. It was built to study matter in more detail than ever before and prove physical theories like the Standard Model of Particle Physics. This talk will focus on the engineering aspects of LHC. How was it built? What makes it tick? Which technologies are needed to create a such powerful machine? This talk will take you on a journey to explore how the most complex machine ever built by humans works.
12/27/19
Science
karlabyrinth
Dijkstra
When climate activists say you should listen to the science they usually refer to reports by the Intergovernmental Panel on Climate Change (IPCC). The IPCC is an Intergovernmental organization (IGO) providing an objective summary of scienctific results regarding climate change, its impacts and its reasons. The simulation of future climate is one fundamental pillar within climate research. But what is behind it? How does the science sector look like? How do we gain these insights, what does it ...
12/27/19
Science
Dijkstra
Making climate predictions is extremely difficult because climate models cannot simulate every cloud particle in the atmosphere and every wave in the ocean, and the model has no idea what humans will do in the future. I will discuss how we are using the Julia programming language and GPUs in our attempt to build a fast and user-friendly climate model, and improve the accuracy of climate predictions by learning the small-scale physics from observations.
12/27/19
Science
Bernhard Stoevesandt
Dijkstra
This talk is to show the current state of the discussion on climate change and the necessary and possible changes from a scientific perpesctive. It is to give some typical relevant answers and to foster the resiliance against climate sceptic questioning. This is one of the main tasks the scientist for future are trying to tackle.
12/27/19
Science
Martin Hillenbrand
Eliza
Einführung in das Forschungsfeld der Kritikalitätsanalysen. Anhand der Rohstoffe Tantal, Wolfram, Zinn und Gold werden exemplarisch die quantitativen und qualitativen Indikatoren für eine Versorgungsengpassanalyse vorgestellt.
12/28/19
Science
Ada
Mit 4G wurde gegenüber früheren Mobilfunktechnologien das Air-Interface komplett neu gestaltet. Mit 5G wird dieses nun auf mögliche Zukunftstechnologien erweitert. Wir stellen die Neuerungen und die Möglichkeiten auf dem 5G-Air-Interface und im Core-Netz gegenüber 4G vor.