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The Transiting Exoplanet Survey Satellite (TESS) is currently concluding its2-year primary science mission searching 85% of the sky for transitingexoplanets. TESS has already discovered well over one thousand TESS objects ofinterest (TOIs), but these candidate exoplanets must be distinguished fromastrophysical false positives using other instruments or techniques. The 3-bandMulti-color Simultaneous Camera for Studying Atmospheres of Transiting Planets(MuSCAT), as well as the 4-band MuSCAT2, can be used to validate TESSdiscoveries. Transits of exoplanets are achromatic when observed in multiplebandpasses, while transit depths for false positives often vary withwavelength. We created software tools to simulate MuSCAT/MuSCAT2 TESS follow-upobservations and reveal which planet candidates can be efficientlydistinguished from blended eclipsing binary (BEB) false positives using thesetwo instruments, and which must be validated using other techniques. We appliedour software code to the Barclay et al. (2018) predicted TESS discoveries, aswell as to TOIs downloaded from the ExoFOP-TESS website. We estimate thatMuSCAT (MuSCAT2 values in parentheses) will be able to use its multi-colorcapabilities to distinguish BEB false positives for $\sim$17% ($\sim$18%) ofall TESS discoveries, and $\sim$13% ($\sim$15%) of $R_{\rm pl} < 4R_\oplus$discoveries. Our TOI analysis shows that MuSCAT (MuSCAT2) can distinguish BEBfalse positives for $\sim$55% ($\sim$52%) of TOIs with transit depths greaterthan 0.001, for $\sim$64% ($\sim$61%) of TOIs with transit depths greater than0.002, and for $\sim$70% ($\sim$68%) of TOIs with transit depth greater than0.003. Our work shows that MuSCAT and MuSCAT2 can validate hundreds of $R_{\rmpl} < 4R_\oplus$ candidate exoplanets, thus supporting the TESS mission inachieving its Level 1 Science Requirement.

Simulations Predicting the Ability of Multi-Color Simultaneous Photometry to Distinguish TESS Candidate Exoplanets from False Positives