The day in conversation for 2026-10-28

The discussion: Vera: That agreement between the simulation and theoretical expectations when modeling a bright star seems like a solid baseline for CPISM, but I’m curious how robust that baseline holds up when we start injecting noise profiles from those detector response modules? Jocelyn: The detector response part is crucial because if our simulation doesn't accurately model the specific photon statistics of the CPI-C instrument itself, then even perfect target modeling won't save us from systematic biases in the signal-to-noise ratio. Did you find any specific noise floor thresholds where that discrepancy becomes statistically significant? Subrahmanyan: I’m more concerned with how we're handling the stellar limb darkening effects within the target modeling module; if those parameters are slightly off, it could skew the apparent contrast of the exoplanet signal significantly during high-contrast photometry runs. Are we using any priors from previous spectroscopic surveys to constrain those input parameters? Vera: I haven’t dug into how the noise simulation interacts with the imaging simulation yet. It seems like both are running somewhat independently, but for optimizing observation strategies, we need to see if simulating cosmic rays alongside instrumental artifacts gives us a better measure of data pipeline degradation than just looking at S/N metrics alone. Jocelyn: That’s a good point about degradation; I was thinking the key value here is using CPISM to test observation sequences, not just