nyx¶
Python package for differentiable simulation of the night sky background in IACTs
nyx models the night sky background for IACT observations, enabling parameter estimation through HMC fitting or gradient-based optimization.
import jax.numpy as jnp
import astropy.units as u
import nyx
from nyx import (
Airglow, EffectiveApertureInstrument, Geometry, Moon, Observation,
Scene, SingleScattering, Stars, ZodiacalLight,
)
nyx.configure() # matmul precision; see the quickstart
geo = Geometry(wvls=jnp.linspace(300, 700, 50) * u.nm,
nside=16, ngrid=2, fov=3.5 * u.deg)
instrument = EffectiveApertureInstrument.from_iactrace_table(geo, "CT1_aperture.npz")
atmosphere = SingleScattering.from_hg(geo)
sources = {
'airglow': Airglow.from_eso_skycalc(geo, sfu=100.0),
'zodiacal': ZodiacalLight.from_leinert1998(geo),
'GaiaDR3': Stars.from_gaia_dr3(geo, lim_mag=12),
'moon': Moon.from_jones2013(geo),
}
obs = Observation(location, times, target, geo)
scene = Scene.build(instrument, atmosphere, sources, obs)
rates = scene.render()
About This Project
Getting Started
Example Gallery
API Reference