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The majority of cataclysmic variable (CV) stars contain a stochastic noisecomponent in their light curves, commonly referred to as flickering. This cansignificantly affect the morphology of CV eclipses and increases the difficultyin obtaining accurate system parameters with reliable errors through eclipsemodelling. Here we introduce a new approach to eclipse modelling, which modelsCV flickering with the help of Gaussian processes (GPs). A parameterisedeclipse model - with an additional GP component - is simultaneously fit to 8eclipses of the dwarf nova ASASSN-14ag and system parameters determined. Weobtain a mass ratio $q$ = 0.149 $\pm$ 0.016 and inclination $i$ = 83.4$^{+0.9}_{-0.6}$ $^{\circ}$. The white dwarf and donor masses were found to be$M_{w}$ = 0.63 $\pm$ 0.04 $M_{\odot}$ and $M_{d}$ = 0.093 $^{+0.015}_{-0.012}$$M_{\odot}$, respectively. A white dwarf temperature $T_{w}$ = 14000$^{+2200}_{-2000}$ K and distance $d$ = 146 $^{+24}_{-20}$ pc were determinedthrough multicolour photometry. We find GPs to be an effective way of modellingflickering in CV light curves and plan to use this new eclipse modellingapproach going forward.

Using Gaussian processes to model light curves in the presence of flickering: the eclipsing cataclysmic variable ASASSN-14ag