Skip to main content

A python package for astronomical calculations

Project description

Author: Behrouz Safari
License: MIT

hypatie

A python package for astronomical calculations

Installation

Install the latest version of hypatie from PyPI:

pip install hypatie

Requirements are numpy, pandas and matplotlib.

NASA JPL's Horizons

Let's get the positions of the sun between two times:

import hypatie as hp

t1 = '2021-03-20 08:00:00'
t2 = '2021-03-20 10:00:00'

If you want the apparent RA and DEC of the Sun with respect to Earth's center (geocentric):

obs = hp.Observer('sun', t1, t2, step=5)

Now you can access the time intervals with .time attribute:

print(obs.time)

[datetime.datetime(2021, 3, 20, 8, 0)
 datetime.datetime(2021, 3, 20, 8, 24)
 datetime.datetime(2021, 3, 20, 8, 48)
 datetime.datetime(2021, 3, 20, 9, 12)
 datetime.datetime(2021, 3, 20, 9, 36)
 datetime.datetime(2021, 3, 20, 10, 0)]

To acces the position you can use obs.pos, obs.ra, or obs.dec:

print(obs.pos)

[[ 3.59938235e+02 -2.66803120e-02]
 [ 3.59953431e+02 -2.00920520e-02]
 [ 3.59968627e+02 -1.35038600e-02]
 [ 3.59983823e+02 -6.91573600e-03]
 [ 3.59999018e+02 -3.27680000e-04]
 [ 1.42132560e-02  6.26030600e-03]]

The first column in the above array is RA and the second column is DEC.

It is possible to get the apparent RA & DEC of a targer with respect to a specified location on the surface of a body. For example, if you want to get the apparent RA & DEC of the Sun for the Eiffel Tower :

obs = hp.Observer('sun', t1, t2, step=5, center='2.2945,48.8584,300@399')

Note that 2.2945 is the longtitude, 48.8584 is the latitude and 300 (meters) is the elevation of the Eiffel Tower. We have specified '@399' at the end which means that this coordinates is situated on the Earth (399 is the Earth's code).

You can request the cartesian positions (x,y,z) of a target with Vector class.

vec = hp.Vector('sun', t1, t2, step=5)

As with the Observer class, there are two attributes .time and .pos for Vector class. Note that when creating a Vector class, you have .x, .y and .z attributes instead of .ra and .dec.

For both Vector and Observer classes you can pass a single time to get position/state of a body at a single time:

vec = hp.Vector('sun', t1)

Both Vector and Observer classes have .plot() method.

# plot polar coordinates
obs.plot()
# plot cartesian coordinates
vec.plot()

Example: animating James Webb Space Telescope

In addition to .plot() method of Vector and Observer classes, there's a play() function that you can pass it a list of Vector objects as well as some other lists as shown in the example below:

import hypatie as hp
import matplotlib.pyplot as plt

t1 = '2018-10-01 14:18:00'
t2 = '2024-12-31 12:18:00'

# get positions with respect to the barycenter of earth-moon
earth = hp.Vector('399', t1, t2, center='500@3', step=1000)
moon = hp.Vector('301', t1, t2, center='500@3', step=1000)
jwst = hp.Vector('-170', t1, t2, center='500@3', step=1000)

bodies = [earth, moon, jwst]
names = ['Earth', 'Moon', 'James Webb']
colors = ['b','g','r']
sizes = [20, 8, 3]

# play the animation
anim = hp.play(bodies, names, colors, sizes)
plt.show()

Transformations

There are several functions in hypatie.transform module. As an example, let's use the to_tete function which transforms the GCRS coordinates to True Equator True Equinox (of date):

from hypatie.transform import to_tete
import numpy as np
from datetime import datetime

t = datetime(2022, 3, 18)

# GCRS coordinates
pos = np.array([0.73859258, 0.13935437, 0.65959182])

# True Equator and True equinox of t
pos_tete = to_tete(pos, t)

print(pos_tete)
#[0.73649269 0.14295327 0.66116782]

Deep sky

You can download data from astronomical catalogues:

from hypatie.catalogues import Catalogue

cat = Catalogue('gaia3')
data, meta = cat.download()

or, plot the star chart for your location:

from hypatie.plots import star_chart

fig, ax = star_chart(lon=2.2945, lat=48.8584)
plt.show()

or, use a virtual telescope:

from hypatie.plots import Telescope

target = (10.6847,41.2687) # az,alt of a point in the sky
paris = (2.2945, 48.8584)  # location of observer

# get image with 3 degrees field of view
tel = Telescope(target_loc=target, obs_loc=paris, fov=3)
tel.show()

Explore proper motion

Let's create a chart showing the proper motion of stars near the Sgr A* (Milky Way's central supermassive black hole). The coordinates of the black hole are given and shown with the red '+' in the chart.

from hypatie.plots import explore_pm
import matplotlib.pyplot as plt

ra = 266.41681662499997
dec = -29.00782497222222

df, fig, ax = explore_pm(ra, dec, r=0.001, otype='star')
plt.show()

alt text

See more examples at astrodatascience.net

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hypatie-2.19.0.tar.gz (67.6 kB view details)

Uploaded Source

Built Distribution

hypatie-2.19.0-py3-none-any.whl (68.9 kB view details)

Uploaded Python 3

File details

Details for the file hypatie-2.19.0.tar.gz.

File metadata

  • Download URL: hypatie-2.19.0.tar.gz
  • Upload date:
  • Size: 67.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.0

File hashes

Hashes for hypatie-2.19.0.tar.gz
Algorithm Hash digest
SHA256 4803d0b0243800f8685778b558d1193d6deb93ab53b08721ff380d0a93d790dd
MD5 eea3f4ba27c3173f1e808431835bd7c5
BLAKE2b-256 975322b2ab769c08809daf6b8a257402c308e2203db9688da9c3de2866b029ab

See more details on using hashes here.

File details

Details for the file hypatie-2.19.0-py3-none-any.whl.

File metadata

  • Download URL: hypatie-2.19.0-py3-none-any.whl
  • Upload date:
  • Size: 68.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.0

File hashes

Hashes for hypatie-2.19.0-py3-none-any.whl
Algorithm Hash digest
SHA256 aadcafbfcfdbd482e4d55f8b53462300cb8fbb564b0b1920b372e1100d1d52b7
MD5 c50a230a0bd28a358fbcac90cd419026
BLAKE2b-256 0d95857b3735f41e84aa51c794edfb3063b81880b714200fff5f8aa505090df5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page