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Properties of the Universe from Big Bang to now — Documentation for the cosmological calculator timeline

Purpose

Calculate various properties of the Universe at a given time t.

The advantage of timeline over other cosmological calculators on the internet (such as Ned Wright's famous CosmoCalc, it's Python wrapper, CC, WolframAlpha, Astropy, CosmoTools, cosmo, cosmocalc_2013, cosmo_calc, and cosmo_calc) is that it goes all the way back to inflation, 0.000...[31 zeros]..1 seconds after Big Bang.

Furthermore, where all these calculators calculate the properties for an input redshift, timeline calculates for an input age of the Universe, which is more intuitive for non-astronomers.

At late epochs, timeline makes use of Python's Astropy library, but for the early epochs it "calculates backward" from radation-matter equality, assuming a radiation-dominated Universe during that time.

Background

The code was written in conjunction with the (Danish) popular science article "Big Bang — en øjenvidneberetning" (translated to English: "Big Bang — an eyewitness account", and awarded best research outreach 2018 in Denmark at ForskerZonen), in order to calculate various properties of the Universe. It is meant for being run from the command line, since this is more tractable to non-experts, but can also be run from a Python environment is a slightly different way.

Prerequisites (mostly for non-experts)

A terminal

First and foremost, you'll need to use a "terminal" which is a program that allows you to give commands to your computer. On most computers, you'll have an app called something like "Terminal".

A Python installation

The code is written in Python, so you'll need an installation of Python. If you don't have that, you can get it here (click "Downloads" and choose the one matching your computer).

The astropy package

In addition to the standard Python installation, you will need the astropy library. When you have Python installed, you can install astropy by typing, in the terminal

$ pip install astropy

(the $ is just a way of showing that here comes a command; it shouldn't be included in the command. If you get an error when trying to install, try writing the word sudo in front of the above command, and then type your computer's password.)

Usage

In a terminal, type the following command (in the same directory where you put timeline.py):

$ python timeline.py time unit [-Runit distance_unit] [-cosmo cosmology]

Arguments (for command line)

In the above command, python is the command to make Python run the program, timeline.py is the name of the progam. Additionally, there are two mandatory arguments (i.e. words that must be written):

time    Time quantity, i.e. a number

unit    Unit of time. Allowed values are
        s:      Seconds
        min:    Minutes
        h:      Hours
        day:    Days
        yr:     Years
        kyr:    kilo-years (i.e. 1000 years)
        Myr:    mega-years
        Gyr:    giga-years

Optional arguments

Optional arguments are words that may be written. There are two; one for outputting the result in your preferred distance units, and one for using your preferred set of cosmological parameters. The syntax is

-Runit my_dist_unit    Units for output distances.
                       Allowed values include:
                       angstrom (or AA), nm, mm, cm, m, km, AU,
                       lightyears (or lyr), parsec (or pc), klyr,
                       kpc, Mlyr, Mpc, Glyr, and Gpc.

-cosmo my_cosmology    Set of cosmological parameters.
                       Allowed values are:
                       Planck15 (default value), Planck13, WMAP9,
                       WMAP7, WMAP5.

The words -Runit and -cosmo (don't forget the dash "-") are written after the command, followed by your preferred value.

That is, if you want distances to be written in, say, parsec, you write -Runit pc after your command, and if you prefer a WMAP 2009 cosmology rather than a Planck 2015 cosmology, you append your command with -cosmo WMAP9.

Examples

(again, the "$" in the examples shouldn't be included)

Calculate the properties just after inflation:

$ python timeline.py 1e-32 s

Calculate the properties today:

$ python timeline.py 13.79 Gyr

Calculate the properties 500 million years after Big Bang, but use Gpc (giga-parsec, i.e. billion parsec) for distances:

$ python timeline.py 500 Myr -Runit Gpc

Calculate properties a microsecond after Big Bang, with distances written in cm, using a Planck 2013 cosmology:

$ python timeline.py 1e-6 s -Runit cm -cosmo Planck13

Output

The following values are written out for the Universe at the chosen time t

  • Expansion:
    • Scale factor (a, size of the Universe relative to today)
    • Redshift (z, how much light emitted from a source is "stretched" before it reaches us)
    • Hubble parameter (H(t), expansion rate of the Universe)
  • Size:
    • Radius of observable Universe at t (dP; how far away could an observer at t theoretically see. This is called the particle horizon, and this calculation involves an integral that takes several seconds for late epochs, so if you're impatient, you may want to delete this line from the code)
    • Radius of today's obs. Universe at t (a dP,0; how big was the part of the Universe that we can can see today at that time)
    • Hubble distance (c / H(t); distance at which the expansion makes stuff recede faster than the speed of light)
  • Gas and radiation:
    • Temperature (T; average temperature of stuff in the Universe)
    • Energy (E = kBT; the corresponding energy of particles)
    • Energy density (the total, average energy of atoms, radiation, and everything else per volume)
    • Ionized fraction (xe; fraction of hydrogen atoms that are ionized)
    • Photon mean free path (how far can a photon travel before it hits an electron)
      • mfp / dP (if this ratio is < 1, radation is coupled to matter; if it is > 1, photons free-stream through the entire Universe)
    • Photon no. density (Number of photons per cubic centimeter)
    • Baryon no. density (Number of atoms per cubic centimeter)
    • Photon pressure
    • Baryon pressure

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