# Equivalencies¶

The unit module has machinery for supporting equivalences between
different units in certain contexts, namely when equations can
uniquely relate a value in one unit to a different unit. A good
example is the equivalence between wavelength, frequency and energy
for specifying a wavelength of radiation. Normally these units are not
convertible, but when understood as representing light, they are
convertible in certain contexts. Here we describe how to use the
equivalencies included in `astropy.units`

and how to
define new equivalencies.

Equivalencies are used by passing a list of equivalency pairs to the
`equivalencies`

keyword argument of `Quantity.to`

or `Unit.to`

methods. Alternatively, if a larger
piece of code needs the same equivalencies, one can set them for a
given context.

## Built-in equivalencies¶

### Parallax Units¶

`parallax()`

is a function that returns an
equivalency list to handle conversions between angles and length.

Length and angles are not normally convertible, so
`to()`

raises an exception:

```
>>> from astropy import units as u
>>> (8.0 * u.arcsec).to(u.parsec)
Traceback (most recent call last):
...
UnitConversionError: 'arcsec' (angle) and 'pc' (length) are not convertible
```

However, when passing the result of
`parallax()`

as the third argument to the
`to()`

method, angles can be converted
into units of length (and vice versa).

```
>>> (8.0 * u.arcsec).to(u.parsec, equivalencies=u.parallax())
<Quantity 0.125 pc>
>>> u.AU.to(u.arcminute, equivalencies=u.parallax())
3437.7467707580054
```

### Angles as Dimensionless Units¶

Angles are treated as a physically distinct type, which usually helps
to avoid mistakes. However, this is not very handy when working with
units related to rotational energy or the small angle approximation.
(Indeed, this double-sidedness underlies why radian went from
supplementary to derived unit.)
The function `dimensionless_angles()`

provides the required equivalency list that helps convert between
angles and dimensionless units. It is somewhat
different from all others in that it allows an arbitrary change in the
number of powers to which radian is raised (i.e., including zero and thus
dimensionless). For instance, normally the following raise exceptions:

```
>>> from astropy import units as u
>>> u.degree.to('')
Traceback (most recent call last):
...
UnitConversionError: 'deg' (angle) and '' (dimensionless) are not convertible
>>> (u.kg * u.m**2 * (u.cycle / u.s)**2).to(u.J)
Traceback (most recent call last):
...
UnitConversionError: 'cycle2 kg m2 / s2' and 'J' (energy) are not convertible
```

But when passing the proper conversion function,
`dimensionless_angles()`

, it works.

```
>>> u.deg.to('', equivalencies=u.dimensionless_angles())
0.017453292519943295
>>> (0.5e38 * u.kg * u.m**2 * (u.cycle / u.s)**2).to(u.J,
... equivalencies=u.dimensionless_angles())
<Quantity 1.9739208802178715e+39 J>
>>> import numpy as np
>>> np.exp((1j*0.125*u.cycle).to('', equivalencies=u.dimensionless_angles()))
<Quantity 0.70710678+0.70710678j>
```

The example with complex numbers is also one may well be doing a fair number of similar calculations. For such situations, there is the option to set default equivalencies.

In some situations, this equivalency may behave differently than anticipated. For instance, it might at first seem reasonable to use it for converting from an angular velocity \(\omega\) in radians per second to the corresponding frequency \(f\) in hertz (i.e., to implement \(f=\omega/2\pi\)). However, attempting this yields:

```
>>> (1*u.rad/u.s).to(u.Hz, equivalencies=u.dimensionless_angles())
<Quantity 1. Hz>
>>> (1*u.cycle/u.s).to(u.Hz, equivalencies=u.dimensionless_angles())
<Quantity 6.283185307179586 Hz>
```

Here, we might have expected ~0.159 Hz in the first example and 1 Hz in
the second. However, `dimensionless_angles()`

converts to radians per second and then drops radians as a unit. The
implicit mistake made in these examples is that the unit Hz is taken to be
equivalent to cycles per second, which it is not (it is just “per second”).
This realization also leads to the solution: to use an explicit equivalency
between cycles per second and hertz:

```
>>> (1*u.rad/u.s).to(u.Hz, equivalencies=[(u.cy/u.s, u.Hz)])
<Quantity 0.15915494309189535 Hz>
>>> (1*u.cy/u.s).to(u.Hz, equivalencies=[(u.cy/u.s, u.Hz)])
<Quantity 1. Hz>
```

### Spectral Units¶

`spectral()`

is a function that returns
an equivalency list to handle conversions between wavelength,
frequency, energy, and wave number.

As mentioned above with parallax units, we simply pass a list of
equivalencies (in this case, the result of
`spectral()`

) as the third argument to the
`to()`

method and wavelength, frequency and
energy can be converted.

```
>>> ([1000, 2000] * u.nm).to(u.Hz, equivalencies=u.spectral())
<Quantity [2.99792458e+14, 1.49896229e+14] Hz>
>>> ([1000, 2000] * u.nm).to(u.eV, equivalencies=u.spectral())
<Quantity [1.23984193, 0.61992096] eV>
```

These equivalencies even work with non-base units:

```
>>> # Inches to calories
>>> from astropy.units import imperial
>>> imperial.inch.to(imperial.Cal, equivalencies=u.spectral())
1.869180759162485e-27
```

### Spectral (Doppler) equivalencies¶

Spectral equivalencies allow you to convert between wavelength, frequency, energy, and wave number but not to velocity, which is frequently the quantity of interest.

It is fairly straightforward to define the equivalency, but note that there are different conventions. In these conventions \(f_0\) is the rest frequency, \(f\) is the observed frequency, \(V\) is the velocity, and \(c\) is the speed of light:

- Radio \(V = c \frac{f_0 - f}{f_0} ; f(V) = f_0 ( 1 - V/c )\)
- Optical \(V = c \frac{f_0 - f}{f } ; f(V) = f_0 ( 1 + V/c )^{-1}\)
- Relativistic \(V = c \frac{f_0^2 - f^2}{f_0^2 + f^2} ; f(V) = f_0 \frac{\left(1 - (V/c)^2\right)^{1/2}}{(1+V/c)}\)

These three conventions are implemented in
`astropy.units.equivalencies`

as
`doppler_optical()`

,
`doppler_radio()`

, and
`doppler_relativistic()`

. Example use:

```
>>> restfreq = 115.27120 * u.GHz # rest frequency of 12 CO 1-0 in GHz
>>> freq_to_vel = u.doppler_radio(restfreq)
>>> (116e9 * u.Hz).to(u.km / u.s, equivalencies=freq_to_vel)
<Quantity -1895.4321928669085 km / s>
```

### Spectral Flux / Luminosity Density Units¶

There is also support for spectral flux and luminosity density units. Their use
is more complex, since it is necessary to also supply the location in the
spectrum for which the conversions will be done, and the units of those spectral
locations. The function that handles these unit conversions is
`spectral_density()`

. This function takes as
its arguments the `Quantity`

for the spectral location. For example:

```
>>> (1.5 * u.Jy).to(u.photon / u.cm**2 / u.s / u.Hz,
... equivalencies=u.spectral_density(3500 * u.AA))
<Quantity 2.6429114293019694e-12 ph / (cm2 Hz s)>
>>> (1.5 * u.Jy).to(u.photon / u.cm**2 / u.s / u.micron,
... equivalencies=u.spectral_density(3500 * u.AA))
<Quantity 6467.9584789120845 ph / (cm2 micron s)>
>>> a = 1. * u.photon / u.s / u.angstrom
>>> a.to(u.erg / u.s / u.Hz,
... equivalencies=u.spectral_density(5500 * u.AA))
<Quantity 3.6443382634999996e-23 erg / (Hz s)>
```

### Brightness Temperature / Surface Brightness Equivalency¶

There is an equivalency between surface brightness (flux density per area) and brightness temperature. This equivalency is often referred to as “Antenna Gain” since, at a given frequency, telescope brightness sensitivity is unrelated to aperture size, but flux density sensitivity is, so this equivalency is only dependent on the aperture size. See Tools of Radio Astronomy for details.

Note

The brightness temperature mentioned here is the Rayleigh-Jeans
equivalent temperature, which results in a linear relation between
flux and temperature. This is the convention that is most often used
in relation to observations, but if you are interested in computing
the *exact* temperature of a planck function that would produce a
given flux, you should not use this equivalency.

The `brightness_temperature`

equivalency requires
the beam area and frequency as arguments. Recalling that the area of a 2D
gaussian is \(2 \pi \sigma^2\) (see wikipedia),
here is an example:

```
>>> import numpy as np
>>> beam_sigma = 50*u.arcsec
>>> omega_B = 2 * np.pi * beam_sigma**2
>>> freq = 5 * u.GHz
>>> (1*u.Jy/omega_B).to(u.K, equivalencies=u.brightness_temperature(freq))
<Quantity 3.526295144567176 K>
```

If you have beam full-width half-maxima (FWHM), which are often quoted and are the values stored in the FITS header keywords BMAJ and BMIN, a more appropriate example converts the FWHM to sigma:

```
>>> import numpy as np
>>> beam_fwhm = 50*u.arcsec
>>> fwhm_to_sigma = 1. / (8 * np.log(2))**0.5
>>> beam_sigma = beam_fwhm * fwhm_to_sigma
>>> omega_B = 2 * np.pi * beam_sigma**2
>>> freq = 5 * u.GHz
>>> (1*u.Jy/omega_B).to(u.K, equivalencies=u.brightness_temperature(freq))
<Quantity 19.553932298231704 K>
```

You can also convert between `Jy/beam`

and `K`

by specifying the beam area:

```
>>> import numpy as np
>>> beam_fwhm = 50*u.arcsec
>>> fwhm_to_sigma = 1. / (8 * np.log(2))**0.5
>>> beam_sigma = beam_fwhm * fwhm_to_sigma
>>> omega_B = 2 * np.pi * beam_sigma**2
>>> freq = 5 * u.GHz
>>> (1*u.Jy/u.beam).to(u.K, u.brightness_temperature(freq, beam_area=omega_B))
<Quantity 19.553932298231704 K>
```

Finally, there is an equivalency that allows you to convert from Jansky to Kelvin.
In this case, the Jansky unit is *implicitly* Jansky/beam. Because of the implicit
assumed per beam unit, this approach is deprecated.:

```
>>> import numpy as np
>>> beam_fwhm = 50*u.arcsec
>>> fwhm_to_sigma = 1. / (8 * np.log(2))**0.5
>>> beam_sigma = beam_fwhm * fwhm_to_sigma
>>> omega_B = 2 * np.pi * beam_sigma**2
>>> freq = 5 * u.GHz
>>> # DEPRECATED
>>> (1*u.Jy).to(u.K, u.brightness_temperature(freq, beam_area=omega_B))
<Quantity 19.553932298231704 K>
```

### Beam Equivalency¶

Radio data, especially from interferometers, is often produced in units of `Jy/beam`

.
Converting this number to a beam-independent value, e.g., `Jy/sr`

, can be done
with the `beam_angular_area`

equivalency:

```
>>> import numpy as np
>>> beam_fwhm = 50*u.arcsec
>>> fwhm_to_sigma = 1. / (8 * np.log(2))**0.5
>>> beam_sigma = beam_fwhm * fwhm_to_sigma
>>> omega_B = 2 * np.pi * beam_sigma**2
>>> (1*u.Jy/u.beam).to(u.MJy/u.sr, equivalencies=u.beam_angular_area(omega_B))
<Quantity 15.019166691021288 MJy / sr>
```

Note that the radio_beam package deals with beam input/output and various operations more directly.

### Temperature Energy Equivalency¶

This equivalency allows conversion between temperature and its equivalent in energy (i.e., the temperature multiplied by the Boltzmann constant), usually expressed in electronvolts. This is used frequently for observations at high-energy, be it for solar or X-ray astronomy. Example:

```
>>> import astropy.units as u
>>> t_k = 1e6 * u.K
>>> t_k.to(u.eV, equivalencies=u.temperature_energy())
<Quantity 86.17332384960955 eV>
```

### Molar Mass AMU Equivalency¶

This equivalency allows conversion between the atomic mass unit and the equivalent g/mol. For reference to why this was added, refer to NIST Mole Reference The following is an example of it’s usage:

```
>>> import astropy.units as u
>>> import astropy.constants as const
>>> x = 1 * (u.g / u.mol)
>>> y = 1 * u.u
>>> x.to(u.u, equivalencies=u.molar_mass_amu())
<Quantity 1.0 u>
>>> y.to(u.g/u.mol, equivalencies=u.molar_mass_amu())
<Quantity 1.0 g / mol>
```

### Pixel and plate scale Equivalencies¶

These equivalencies are for converting between angular scales and either linear scales in the focal plane or distances in units of the number of pixels. For example, suppose you are working with cutouts from the Sloan Digital Sky Survey, which defaults to a pixel scale of 0.4 arcseconds per pixel, and want to know the true size of something that you measure to be 240 pixels across in the cutout image:

```
>>> import astropy.units as u
>>> sdss_pixelscale = u.pixel_scale(0.4*u.arcsec/u.pixel)
>>> (240*u.pixel).to(u.arcmin, sdss_pixelscale)
<Quantity 1.6 arcmin>
```

Or maybe you are designing an instrument for a telescope that someone told you has a (inverse) plate scale of 7.8 meters per radian (for your desired focus), and you want to know how big your pixels need to be to cover half an arcsecond:

```
>>> import astropy.units as u
>>> tel_platescale = u.plate_scale(7.8*u.m/u.radian)
>>> (0.5*u.arcsec).to(u.micron, tel_platescale)
<Quantity 18.9077335632719 micron>
```

## Writing new equivalencies¶

An equivalence list is just a list of tuples, where each tuple has 4 elements:

```
(from_unit, to_unit, forward, backward)
```

`from_unit`

and `to_unit`

are the equivalent units. `forward`

and
`backward`

are functions that convert values between those units.

For example, until 1964 the metric liter was defined as the volume of 1kg of water at 4°C at 760mm mercury pressure. Volumes and masses are not normally directly convertible, but if we hold the constants in the 1964 definition of the liter as true, we could build an equivalency for them:

```
>>> liters_water = [
... (u.l, u.g, lambda x: 1000.0 * x, lambda x: x / 1000.0)
... ]
>>> u.l.to(u.kg, 1, equivalencies=liters_water)
1.0
```

Note that the equivalency can be used with any other compatible units:

```
>>> from astropy.units import imperial
>>> imperial.gallon.to(imperial.pound, 1, equivalencies=liters_water)
8.345404463333525
```

And it also works in the other direction:

```
>>> imperial.lb.to(imperial.pint, 1, equivalencies=liters_water)
0.9586114172355459
```

### A slightly more complicated example: Spectral Doppler Equivalencies¶

We show how to define an equivalency using the radio convention for CO 1-0.
This function is already defined in
`doppler_radio()`

,
but this example is illustrative:

```
>>> from astropy.constants import si
>>> restfreq = 115.27120 # rest frequency of 12 CO 1-0 in GHz
>>> freq_to_vel = [(u.GHz, u.km/u.s,
... lambda x: (restfreq-x) / restfreq * si.c.to_value('km/s'),
... lambda x: (1-x/si.c.to_value('km/s')) * restfreq )]
>>> u.Hz.to(u.km / u.s, 116e9, equivalencies=freq_to_vel)
-1895.4321928669262
>>> (116e9 * u.Hz).to(u.km / u.s, equivalencies=freq_to_vel)
<Quantity -1895.4321928669262 km / s>
```

Note that once this is defined for GHz and km/s, it will work for all other
units of frequency and velocity. `x`

is converted from the input frequency
unit (e.g., Hz) to GHz before being passed to `lambda x:`

. Similarly, the
return value is assumed to be in units of `km/s`

, which is why the `.value`

of `c`

is used instead of the constant.

## Displaying available equivalencies¶

The `find_equivalent_units()`

method also
understands equivalencies. For example, without passing equivalencies,
there are three compatible units for `Hz`

in the standard set:

```
>>> u.Hz.find_equivalent_units()
Primary name | Unit definition | Aliases
[
Bq | 1 / s | becquerel ,
Ci | 3.7e+10 / s | curie ,
Hz | 1 / s | Hertz, hertz ,
]
```

However, when passing the spectral equivalency, you can see there are
all kinds of things that `Hz`

can be converted to:

```
>>> u.Hz.find_equivalent_units(equivalencies=u.spectral())
Primary name | Unit definition | Aliases
[
AU | 1.49598e+11 m | au, astronomical_unit ,
Angstrom | 1e-10 m | AA, angstrom ,
Bq | 1 / s | becquerel ,
Ci | 3.7e+10 / s | curie ,
Hz | 1 / s | Hertz, hertz ,
J | kg m2 / s2 | Joule, joule ,
Ry | 2.17987e-18 kg m2 / s2 | rydberg ,
cm | 0.01 m | centimeter ,
eV | 1.60218e-19 kg m2 / s2 | electronvolt ,
earthRad | 6.3781e+06 m | R_earth, Rearth ,
erg | 1e-07 kg m2 / s2 | ,
jupiterRad | 7.1492e+07 m | R_jup, Rjup, R_jupiter, Rjupiter ,
k | 100 / m | Kayser, kayser ,
lyr | 9.46073e+15 m | lightyear ,
m | irreducible | meter ,
micron | 1e-06 m | ,
pc | 3.08568e+16 m | parsec ,
solRad | 6.957e+08 m | R_sun, Rsun ,
]
```

## Using equivalencies in larger pieces of code¶

Sometimes one has an involved calculation where one is regularly switching back between equivalent units. For these cases, one can set equivalencies that will by default be used, in a way similar to which one can enable other units.

For instance, to enable radian to be treated as a dimensionless unit, simply do:

```
>>> import astropy.units as u
>>> u.set_enabled_equivalencies(u.dimensionless_angles())
<astropy.units.core._UnitContext object at ...>
>>> u.deg.to('')
0.017453292519943295
```

Here, any list of equivalencies could be used, or one could add, e.g.,
`spectral()`

and
`spectral_density()`

(since these return
lists, they should indeed be combined by adding them together).

The disadvantage of the above approach is that you may forget to turn the default off (done by giving an empty argument). To automate this, a context manager is provided:

```
>>> import astropy.units as u
>>> with u.set_enabled_equivalencies(u.dimensionless_angles()):
... phase = 0.5 * u.cycle
... c = np.exp(1j*phase)
>>> c
<Quantity (-1+1.2246063538223773e-16j) >
```