Characterizing the Gravitational Wave Signature of the Population of Cataclysmic Variables in LISA

The galactic population of cataclysmic variables (CV) is an until recently overlooked class of sources in the millihertz gravitational wave (GW) band. Scaringi et al (2023) found that the incoherent superposition of GWs from unresolved CVs will create a unique spectral feature observable by the upcoming Laser Interferometer Space Antenna (LISA) mission. This presents an opportunity for multimessenger astrophysics, as we can study the population of CVs without the limitations or biases faced by electromagnetic surveys. Such returns are not without their difficulties; this population creates new data analysis challenges, as they occupy the same frequency regime as the previously predicted galactic white dwarf (WD) binary foreground. Without adequate consideration of both populations, mismodeling may result in biases for other source classes in LISA due to the global nature of LISA data analysis. We present the first step toward accurately modeling the CV spectral feature in LISA data. To do so, we employ the Bayesian LISA Inference Package (BLIP), which provides a suite of tools for separation of multiple gravitational-wave backgrounds via their spectral and spatial features. We model the population of CVs presented in Scaringi et al. (2023) alongside the WD foreground and discuss prospects for characterization of the CV spectral feature and its attendant astrophysics.