astropy

Name: astropy
Author: K-Dense-AI

807installs3.1kforks

How to install astropy?

k-dense-ai/scientific-agent-skills/astropy

$npx -y skills add K-Dense-AI/scientific-agent-skills --skill astropy

Installs into the current project.

Summary

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

Files · 1

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SKILL.md

1	# Astropy
2
3	## Overview
4
5	Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis. Use astropy for coordinate transformations, unit and quantity calculations, FITS file operations, cosmological calculations, precise time handling, tabular data manipulation, and astronomical image processing.
6
7	## When to Use This Skill
8
9	Use astropy when tasks involve:
10	- Converting between celestial coordinate systems (ICRS, Galactic, FK5, AltAz, etc.)
11	- Working with physical units and quantities (converting Jy to mJy, parsecs to km, etc.)
12	- Reading, writing, or manipulating FITS files (images or tables)
13	- Cosmological calculations (luminosity distance, lookback time, Hubble parameter)
14	- Precise time handling with different time scales (UTC, TAI, TT, TDB) and formats (JD, MJD, ISO)
15	- Table operations (reading catalogs, cross-matching, filtering, joining)
16	- WCS transformations between pixel and world coordinates
17	- Astronomical constants and calculations
18
19	## Quick Start
20
21	```python
22	import astropy.units as u
23	from astropy.coordinates import SkyCoord
24	from astropy.time import Time
25	from astropy.io import fits
26	from astropy.table import Table
27	from astropy.cosmology import Planck18
28
29	# Units and quantities
30	distance = 100 * u.pc
31	distance_km = distance.to(u.km)
32
33	# Coordinates
34	coord = SkyCoord(ra=10.5u.degree, dec=41.2u.degree, frame='icrs')
35	coord_galactic = coord.galactic
36
37	# Time
38	t = Time('2023-01-15 12:30:00')
39	jd = t.jd # Julian Date
40
41	# FITS files
42	data = fits.getdata('image.fits')
43	header = fits.getheader('image.fits')
44
45	# Tables
46	table = Table.read('catalog.fits')
47
48	# Cosmology
49	d_L = Planck18.luminosity_distance(z=1.0)
50	```
51
52	## Core Capabilities
53
54	### 1. Units and Quantities (`astropy.units`)
55
56	Handle physical quantities with units, perform unit conversions, and ensure dimensional consistency in calculations.
57
58	Key operations:
59	- Create quantities by multiplying values with units
60	- Convert between units using `.to()` method
61	- Perform arithmetic with automatic unit handling
62	- Use equivalencies for domain-specific conversions (spectral, doppler, parallax)
63	- Work with logarithmic units (magnitudes, decibels)
64
65	See: `references/units.md` for comprehensive documentation, unit systems, equivalencies, performance optimization, and unit arithmetic.
66
67	### 2. Coordinate Systems (`astropy.coordinates`)
68
69	Represent celestial positions and transform between different coordinate frames.
70
71	Key operations:
72	- Create coordinates with `SkyCoord` in any frame (ICRS, Galactic, FK5, AltAz, etc.)
73	- Transform between coordinate systems
74	- Calculate angular separations and position angles
75	- Match coordinates to catalogs
76	- Include distance for 3D coordinate operations
77	- Handle proper motions and radial velocities
78	- Query named objects from online databases
79
80	See: `references/coordinates.md` for detailed coordinate frame descriptions, transformations, observer-dependent frames (AltAz), catalog matching, and performance tips.
81
82	### 3. Cosmological Calculations (`astropy.cosmology`)
83
84	Perform cosmological calculations using standard cosmological models.
85
86	Key operations:
87	- Use built-in cosmologies (Planck18, WMAP9, etc.)
88	- Create custom cosmological models
89	- Calculate distances (luminosity, comoving, angular diameter)
90	- Compute ages and lookback times
91	- Determine Hubble parameter at any redshift
92	- Calculate density parameters and volumes
93	- Perform inverse calculations (find z for given distance)
94
95	See: `references/cosmology.md` for available models, distance calculations, time calculations, density parameters, and neutrino effects.
96
97	### 4. FITS File Handling (`astropy.io.fits`)
98
99	Read, write, and manipulate FITS (Flexible Image Transport System) files.
100
101	Key operations:
102	- Open FITS files with context managers
103	- Access HDUs (Header Data Units) by index or name
104	- Read and modify headers (keywords, comments, history)
105	- Work with image data (NumPy arrays)
106	- Handle table data (binary and ASCII tables)
107	- Create new FITS files (single or multi-extension)
108	- Use memory mapping for large files
109	- Access remote FITS files (S3, HTTP)
110
111	See: `references/fits.md` for comprehensive file operations, header manipulation, image and table handling, multi-extension files, and performance considerations.
112
113	### 5. Table Operations (`astropy.table`)
114
115	Work with tabular data with support for units, metadata, and various file formats.
116
117	**K

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astropy

807installs3.1kforks

View on GitHub

How to install astropy?

k-dense-ai/scientific-agent-skills/astropy

$npx -y skills add K-Dense-AI/scientific-agent-skills --skill astropy

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Astropy
2
3	## Overview
4
5	Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis. Use astropy for coordinate transformations, unit and quantity calculations, FITS file operations, cosmological calculations, precise time handling, tabular data manipulation, and astronomical image processing.
6
7	## When to Use This Skill
8
9	Use astropy when tasks involve:
10	- Converting between celestial coordinate systems (ICRS, Galactic, FK5, AltAz, etc.)
11	- Working with physical units and quantities (converting Jy to mJy, parsecs to km, etc.)
12	- Reading, writing, or manipulating FITS files (images or tables)
13	- Cosmological calculations (luminosity distance, lookback time, Hubble parameter)
14	- Precise time handling with different time scales (UTC, TAI, TT, TDB) and formats (JD, MJD, ISO)
15	- Table operations (reading catalogs, cross-matching, filtering, joining)
16	- WCS transformations between pixel and world coordinates
17	- Astronomical constants and calculations
18
19	## Quick Start
20
21	```python
22	import astropy.units as u
23	from astropy.coordinates import SkyCoord
24	from astropy.time import Time
25	from astropy.io import fits
26	from astropy.table import Table
27	from astropy.cosmology import Planck18
28
29	# Units and quantities
30	distance = 100 * u.pc
31	distance_km = distance.to(u.km)
32
33	# Coordinates
34	coord = SkyCoord(ra=10.5u.degree, dec=41.2u.degree, frame='icrs')
35	coord_galactic = coord.galactic
36
37	# Time
38	t = Time('2023-01-15 12:30:00')
39	jd = t.jd # Julian Date
40
41	# FITS files
42	data = fits.getdata('image.fits')
43	header = fits.getheader('image.fits')
44
45	# Tables
46	table = Table.read('catalog.fits')
47
48	# Cosmology
49	d_L = Planck18.luminosity_distance(z=1.0)
50	```
51
52	## Core Capabilities
53
54	### 1. Units and Quantities (`astropy.units`)
55
56	Handle physical quantities with units, perform unit conversions, and ensure dimensional consistency in calculations.
57
58	Key operations:
59	- Create quantities by multiplying values with units
60	- Convert between units using `.to()` method
61	- Perform arithmetic with automatic unit handling
62	- Use equivalencies for domain-specific conversions (spectral, doppler, parallax)
63	- Work with logarithmic units (magnitudes, decibels)
64
65	See: `references/units.md` for comprehensive documentation, unit systems, equivalencies, performance optimization, and unit arithmetic.
66
67	### 2. Coordinate Systems (`astropy.coordinates`)
68
69	Represent celestial positions and transform between different coordinate frames.
70
71	Key operations:
72	- Create coordinates with `SkyCoord` in any frame (ICRS, Galactic, FK5, AltAz, etc.)
73	- Transform between coordinate systems
74	- Calculate angular separations and position angles
75	- Match coordinates to catalogs
76	- Include distance for 3D coordinate operations
77	- Handle proper motions and radial velocities
78	- Query named objects from online databases
79
80	See: `references/coordinates.md` for detailed coordinate frame descriptions, transformations, observer-dependent frames (AltAz), catalog matching, and performance tips.
81
82	### 3. Cosmological Calculations (`astropy.cosmology`)
83
84	Perform cosmological calculations using standard cosmological models.
85
86	Key operations:
87	- Use built-in cosmologies (Planck18, WMAP9, etc.)
88	- Create custom cosmological models
89	- Calculate distances (luminosity, comoving, angular diameter)
90	- Compute ages and lookback times
91	- Determine Hubble parameter at any redshift
92	- Calculate density parameters and volumes
93	- Perform inverse calculations (find z for given distance)
94
95	See: `references/cosmology.md` for available models, distance calculations, time calculations, density parameters, and neutrino effects.
96
97	### 4. FITS File Handling (`astropy.io.fits`)
98
99	Read, write, and manipulate FITS (Flexible Image Transport System) files.
100
101	Key operations:
102	- Open FITS files with context managers
103	- Access HDUs (Header Data Units) by index or name
104	- Read and modify headers (keywords, comments, history)
105	- Work with image data (NumPy arrays)
106	- Handle table data (binary and ASCII tables)
107	- Create new FITS files (single or multi-extension)
108	- Use memory mapping for large files
109	- Access remote FITS files (S3, HTTP)
110
111	See: `references/fits.md` for comprehensive file operations, header manipulation, image and table handling, multi-extension files, and performance considerations.
112
113	### 5. Table Operations (`astropy.table`)
114
115	Work with tabular data with support for units, metadata, and various file formats.
116
117	**K

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