cabaret
cabaret is a Python package to simulate astronomical images using the Gaia catalog of stars.
Documentation can be found at cabaret.readthedocs.io.
Installation
You can install cabaret in a Python (>=3.11) environment with
pip install cabaret
or from a local clone
git clone https://github.com/ppp-one/cabaret
pip install -e cabaret
You can test the package has been properly installed with
python -c "import cabaret"
Quick Start
Basic image
To generate an image from RA/DEC coordinates, run:
import cabaret
image = cabaret.Observatory().generate_image(
ra=12.33230, # right ascension in degrees
dec=30.4343, # declination in degrees
exp_time=10, # exposure time in seconds
)
To display the image:
from cabaret.plot import plot_image
plot_image(image, contrast=0.25)
Custom Observatory Configuration
Create a fully customized observatory by defining each component:
from datetime import UTC, datetime
import cabaret
# Define observatory components
site = cabaret.Site(
sky_background=150, # e-/m^2/arcsec^2/s
seeing=1.5, # arcseconds
elevation=2500, # meters
)
telescope = cabaret.Telescope(
focal_length=8, # meters
diameter=1.0, # meters
)
camera = cabaret.Camera(
name="Example Camera",
width=2048, # pixels
height=2048, # pixels
pitch=10, # microns
gain=1, # electrons per ADU
read_noise=6.2, # electrons
)
# Create the observatory
observatory = cabaret.Observatory(
name="My Observatory",
site=site,
telescope=telescope,
camera=camera,
)
# Generate a FITS image with metadata
hdu = observatory.generate_fits_image(
ra=323.362583,
dec=-0.82325,
exp_time=0.5,
dateobs=datetime.now(UTC),
filter_band=cabaret.Filters.G,
seed=42,
)
# Save as FITS file
hdu.writeto("simulated_image.fits", overwrite=True)
Custom Source Lists
You can manipulate the source catalog before generating images:
from astropy.coordinates import SkyCoord
import numpy as np
# Query Gaia catalog
center = SkyCoord(ra=323.362583, dec=-0.82325, unit="deg")
table = cabaret.GaiaQuery.query(
center=center,
radius=camera.get_fov_radius() * 1.5,
filter_bands=cabaret.Filters.G,
)
# Filter out bright sources
fluxes = table[cabaret.Filters.G.value].value.data
mask = fluxes < 1e4
filtered_table = table[mask]
# Create custom source list
sources = cabaret.Sources.from_arrays(
ra=filtered_table["ra"].value.data,
dec=filtered_table["dec"].value.data,
fluxes=filtered_table[cabaret.Filters.G.value].value.data,
)
# Generate image with custom sources
image = observatory.generate_image(
ra=center.ra.deg,
dec=center.dec.deg,
exp_time=0.5,
sources=sources,
)
Offline SQLite Catalogs
You can query a local SQLite catalog instead of a remote TAP endpoint.
The local table is expected to contain at least ra and dec, and optionally
pmra, pmdec, plus Gaia/2MASS magnitude columns like phot_g_mean_mag,
phot_bp_mean_mag, phot_rp_mean_mag, j_m, h_m, ks_m.
import cabaret
from astropy.coordinates import SkyCoord
sqlite_source = cabaret.GaiaSQLiteSource(
database="/data/catalogs/gaia_subset.sqlite",
)
table = cabaret.GaiaQuery.query(
center=SkyCoord(ra=323.362583, dec=-0.82325, unit="deg"),
radius=0.1,
filter_bands=[cabaret.Filters.G],
tap_source=sqlite_source,
limit=5000,
)
Explore the full documentation, API reference, and advanced usage examples at cabaret.readthedocs.io.
Metadata
Release files for cabaret 0.5.5
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cabaret-0.5.5-py3-none-any.whl | Python 3 | none | any | Details for cabaret-0.5.5-py3-none-any.whl |
Total release size: 699.9 kB
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