AstDyS wrapper in python
Project description
AstDyS Python Wrapper
Python interface to the AstDyS database - a comprehensive catalog of asteroid orbital elements.
Features
- 500,000+ numbered asteroids with osculating orbital elements
- Osculating and synthetic proper elements for asteroid studies
- Automatic downloads - catalogs are fetched on first use
- Lazy loading - imports are fast, data loads only when needed
- Pandas integration - returns DataFrames for analysis
Note on angles: All angular orbital elements are returned in radians (not degrees) for direct use in calculations.
Installation
pip install astdys
Quick Start
import astdys
# Get osculating elements for asteroid 1 (Ceres)
elements = astdys.search(1)
print(elements)
# Get synthetic proper elements for the same asteroid
astdys.set_type("synthetic")
proper_elements = astdys.search(1)
print(proper_elements)
Usage
Basic Search
Search for asteroids by name or designation in the AstDyS catalog. The catalog includes:
- Numbered asteroids: Use numbers (e.g.,
1for Ceres,433for Eros) - Provisional designations: Use strings (e.g.,
'2017HV1','4150T-3','4702P-L')
import astdys
# Search for asteroid 1 (Ceres)
elements = astdys.search(1)
if elements:
print(f"Semi-major axis: {elements['a']} AU")
print(f"Eccentricity: {elements['e']}")
print(f"Inclination: {elements['inc']} radians")
# Search for a provisional designation
elements = astdys.search('2017HV1')
if elements:
print(f"Found provisional asteroid: {elements}")
Search for multiple asteroids:
# Search for multiple asteroids
objects = astdys.search([1, 2, 3, 4, 5])
for name, elements in objects.items():
print(f"Asteroid {name}: a={elements['a']:.3f} AU")
Search by Semi-major Axis
Find asteroids within a specific range of semi-major axis:
# Find asteroids around 2.7 AU (with default sigma=0.1 AU)
asteroids = astdys.search_by_axis(2.70)
print(f"Found {len(asteroids)} asteroids")
# Use custom range (sigma=0.05 AU)
asteroids = astdys.search_by_axis(2.70, sigma=0.05)
print(asteroids[['a', 'e', 'inc']].head())
Working with Different Catalog Types
The library supports two types of orbital elements:
Osculating Elements (Default)
Classical Keplerian orbital elements at a specific epoch:
# Default catalog type is 'osculating'
astdys.set_type("osculating") # This is the default
elements = astdys.search(1)
# Available elements:
# - a: semi-major axis (AU)
# - e: eccentricity
# - inc: inclination (radians)
# - Omega: longitude of ascending node (radians)
# - omega: argument of perihelion (radians)
# - M: mean anomaly (radians)
# - epoch: epoch (MJD)
Synthetic Proper Elements
Proper elements are averaged orbital elements that eliminate short-term perturbations, useful for asteroid family studies:
# Switch to synthetic proper elements
astdys.set_type("synthetic")
elements = astdys.search(1)
# Available elements:
# - a: proper semi-major axis (AU)
# - e: proper eccentricity
# - sinI: sine of proper inclination
# - n: mean motion frequency (arcsec/year)
# - g: perihelion precession frequency (arcsec/year)
# - s: node precession frequency (arcsec/year)
# - lce: Lyapunov Characteristic Exponent
# - my: integration time (Myr)
# - mag: absolute magnitude
Catalog Information
Get the epoch of osculating elements (only available for osculating catalog):
import astdys
# Make sure we're using osculating catalog
astdys.set_type("osculating")
# Get catalog epoch as string
date_str = astdys.get_catalog_time()
print(f"Catalog epoch: {date_str}") # e.g., "2024-01-15 00:00:00"
# Or as datetime object for calculations
date = astdys.get_catalog_datetime()
print(f"Catalog date: {date}")
Note: Synthetic proper elements don't have a specific epoch since they're averaged over long timescales.
Rebuilding the Catalog
Force a fresh download and rebuild of the catalog:
# This will download fresh data from AstDyS
astdys.rebuild()
Comparing Osculating and Proper Elements
import astdys
asteroid_num = 4 # Vesta
# Get osculating elements
astdys.set_type("osculating")
osc = astdys.search(asteroid_num)
# Get proper elements
astdys.set_type("synthetic")
prop = astdys.search(asteroid_num)
print("Osculating vs Proper elements:")
print(f"Semi-major axis: {osc['a']:.4f} vs {prop['a']:.4f} AU")
print(f"Eccentricity: {osc['e']:.4f} vs {prop['e']:.4f}")
Iterating Over Catalog Records
You can iterate over the entire catalog dataframe to access all asteroids:
import astdys
# Set catalog type to synthetic
astdys.set_type("synthetic")
# Get the catalog dataframe (automatically loads if needed)
catalog = astdys.get_catalog()
# Iterate over first 100 records
for idx, row in catalog.head(100).iterrows():
print(f"name={row['name']}, mag={row['mag']:.2f}, a={row['a']:.4f} AU, e={row['e']:.6f}, "
f"sinI={row['sinI']:.6f}, n={row['n']:.6f}, g={row['g']:.6f}, s={row['s']:.6f}, "
f"lce={row['lce']:.6f}, my={row['my']:.2f}")
print(f"\nTotal records in catalog: {len(catalog)}")
This approach is useful when you need to process or analyze multiple asteroids systematically, such as for statistical studies or family identification.
Note: The get_catalog() method returns the raw pandas DataFrame for advanced users who need direct access to all data at once. The 'name' column contains numbered asteroids (e.g., '1', '433') or provisional designations (e.g., '2017HV1', '4150T-3').
API Reference
Main Functions
-
search(identifier)- Find asteroid(s) by number or designation- Returns: dict of orbital elements, or dict of dicts for multiple asteroids
-
search_by_axis(axis, sigma=0.1)- Find asteroids by semi-major axisaxis: Semi-major axis in AUsigma: Search range in AU (default: 0.1)- Returns: pandas DataFrame
-
set_type(catalog_type)- Switch between 'osculating' or 'synthetic' -
get_catalog()- Get full catalog as pandas DataFrame -
get_catalog_time()- Get osculating catalog epoch as string (osculating only) -
get_catalog_datetime()- Get osculating catalog epoch as datetime (osculating only) -
rebuild()- Force fresh download and rebuild of current catalog
Data Columns
Osculating elements: name, a (AU), e, inc (rad), Omega (rad), omega (rad), M (rad), epoch (MJD)
Synthetic proper elements: name, a (AU), e, sinI, n (arcsec/yr), g (arcsec/yr), s (arcsec/yr), lce, my (Myr), mag
Performance
- Catalog sizes: ~100-200 MB for osculating, ~50 MB for synthetic
- First load: 30-60 seconds (includes download and processing)
- Subsequent loads: < 1 second (reads from cache)
License
MIT
Credits
This wrapper provides access to the AstDyS database. The AstDyS catalog and synthetic proper elements were created by:
Zoran Knežević (Astronomical Observatory, Belgrade) and Andrea Milani (University of Pisa)
Key references:
- Knežević, Z. & Milani, A. (2003). "Proper element catalogs and asteroid families." Astronomy & Astrophysics, 403, 1165-1173.
- Knežević, Z. & Milani, A. (2001). "Synthetic proper elements for outer main belt asteroids." Celestial Mechanics and Dynamical Astronomy, 78, 17-46.
The AstDyS service is available at: https://newton.spacedys.com/astdys2/
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file astdys-1.0.0.tar.gz.
File metadata
- Download URL: astdys-1.0.0.tar.gz
- Upload date:
- Size: 7.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.3 CPython/3.11.9 Darwin/24.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
623ebba095004328d3b7461f180fb94e66dcc3629f59387d3eb4655a3ad17a85
|
|
| MD5 |
6d9b7a0eadf4caae7b3a07a2ca186841
|
|
| BLAKE2b-256 |
d96d91abcb2ce76f8a35a2ece37d47e000a7c73135c4ca8571eab4bebbf98a6e
|
File details
Details for the file astdys-1.0.0-py3-none-any.whl.
File metadata
- Download URL: astdys-1.0.0-py3-none-any.whl
- Upload date:
- Size: 9.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.3 CPython/3.11.9 Darwin/24.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1e182d86436619646466015ffb8ef5419795df53e84222056e606f6b7308481c
|
|
| MD5 |
4ff5245da7b79aaec00620d194702ecc
|
|
| BLAKE2b-256 |
3437828b6d8add755c58e013d04578090749d6124f5dee222da061698fc2116c
|