Separating flare and secondary atmospheric signals with RADYN modeling of near-infrared JWST transmission spectroscopy observations of TRAPPIST-1
Abstract
Although TRAPPIST-1's temperate planets have the highest transmission signals of any known system, flares contaminate 50-70% of transits at the 1000 ppm level, far above 100 ppm secondary atmospheres. Efforts to mitigate flare contamination and assess impacts on radiation environments are each hampered by a lack of empirical spectral analysis and physics-based modeling. We present spectrotemporal analysis and radiative-hydrodynamic modeling of 5.5 hr of NIRISS and NIRSpec observations of 6 TRAPPIST-1 flares of 2.2-8.7x1030 erg. Flare lines and continua are characterized using grid searches of RADYN beam-heating models spanning 104× in electron beam parameters. Best-fit models indicate these flares result from moderate-intensity beams with emergent electron fluxes of 1012 erg s-1 cm-2 and energies ≤37 keV, although all models over-predict the Paschen jump. These models predict XUV, FUV, and NUV counterparts to the infrared peak fluxes of 8.9-28.9x1027, 4.3-13.9x1026, and 3.4-11.4x1027 erg s-1, respectively. Scaling the flare rate into the XUV suggests flaring contributes 1.35-0.15+2.0× quiescence yr-1. We bin integrations of similar flare effective temperature to construct fiducial flare spectra from 2000-4500 K in order to develop separate empirical and RADYN-based mitigation pipelines. Both pipelines are applied to all 5.5 hr of R=10 data, resulting in maximum residuals from 1-2.8μm of 100-140 ppm and typical residuals of 5414 and 6517 ppm for the empirical and RADYN-based pipelines, respectively. Injection testing supports 3σ detection capability for CO2 atmospheres with features of 150-250 ppm, with weak evidence (BF≈3) still obtained at 130 ppm. Our results motivate multi-wavelength observations to improve model fidelity and test high-energy predictions.
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