Introduction to The Geometry of the Universe

Download and visualise data from the James Webb Space Telescope

Simulate the Milky Way’s rotation curve assuming the Sciama Principle:

a rotating mass induces a rotation on the surrounding space time
with a magnitude proportional to the mass and inversely
proportional to the

Introduction to de Sitter Space

Download and visualise the supernovae data from the Dark Energy Survey

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Introduction

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Flash Warnings

Lots of axes flying around.

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Johnny Gill

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Goals

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Document my explorations of The Geometry of the Universe (gotu)

Visualise space-time, understand curvature.

Visualise data to see if it supports the theory.

Help others understand the ideas.

Your Goals

What do you want from the workshop?

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Gain insight into cosmological mysteries

Hubble Tension

Dark Matter

Dark Energy

Gravitational Waves

Dark Energy

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Install the software

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Create Virtual Environment

mkdir workshop

python3 -m venv gotuenv

Install blume

git clone https://github.com/swfiua/blume

cd blume

python3 -m pip install -e .

Install gotu

git clone https://github.com/swfiua/gotu

cd gotu

python3 -m pip install -e .

Blume

Is there anything better than an editor, a console and a bunch of 100 line python scripts?

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Principles

No module should exceed 1000 lines

Fix it upstream

Is there anything better than a folder full of 100 line python scripts?

There is nothing a layer of abstraction cannot fix. Can it be done without adding complexity?

It is impossible to do anything if I obey all the principles?

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Patterns

print to debug

add complexity while figuring out how things work.

no problem a layer of indirection cannot solve

Not sure what value to use: use random module.

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Blume Magic Module

blume.magic.RoundAbout

blume.magic.Carpet

blume.magic.TableCounts

blume.console

single character commands

.blume_history

Gotu Modules

gotu.jwst

astroquery and mast

gotu.wits

gotu.spiral

gotu.gaia

Observations

Hubble Space Telescope

Event Horizon Telescope(s)

Planck Mission

LIGO

Pulsar Timing Array

JWST

Gaia

The Milky Way Rotation Curve

astropy

Spiral Galaxies

Dark Energy Survey

de Sitter Space

Simulation of geodesics in de Sitter Space

A Glimpse of Hubble Tension?

Closer to home

The Laniakea supercluster of galaxies

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Priors

The Wiener Filter

Combining Sciama and de Sitter

Build your own blume.train

Never have to write code to view data again.

Find away to work with the magic carpet, feed it tables of meta data, attach it to axes and then put them into queues based on the meta data, which must be hashable.

meta data

And the matplotlib.subplot_mosaic