slicersim: A python package to simulate image slicer spectroscopic observations -- application to the Lazuli Spectrograph

Integral Field Spectroscopy (IFS) is a key technique to study galaxies, stellar and planetary systems, and transients, by spatially splitting the scene and dispersing this light onto the detector. This technique is now central for many modern telescopes, including the Lazuli Space Observatory which will host a low spectral-resolution image slicer spectrograph. To prepare for future IFS-equipped instruments and to better understand the systematics of current ones, realistic simulations are needed. We present slicersim, a Python package designed to simulate IFS observations. slicersim is a modular and flexible tool that allows the user to build a scene, define a telescope, a spectrograph, and a detector, and to simulate the resulting observation, including various sources of noise and instrumental effects. The package is designed to be easily extensible to any IFS, with a current focus on that from the Lazuli Space Observatory. In this paper, we present the structure and logic of the package, detailing its main components, and providing an example of its usage. Using slicersim we demonstrate the feasibility of a large cosmology campaign on Lazuli -- a sample of 8000 Type~Ia Supernovae uniformly distributed between $z=0$ and $z=1.5$, observed within the first few years of its operations for a typical average signal-to-noise of 25 per resolution element rest-frame optical wavelengths.