Optimizing TESS-related Exoplanet Observation: A Systematic Approach to Scheduling JWST SOSS and BOTS Templates

TL;DR

This paper introduces a systematic scheduling method for JWST exoplanet observations targeting TESS discoveries, enhancing observation efficiency through transit prediction refinement and detailed timeline planning.

Contribution

It presents a novel methodology for optimizing JWST observation schedules for TESS-discovered exoplanets, including transit prediction refinement and comprehensive timeline creation.

Findings

Improved transit timing predictions for JWST observations.

Efficient scheduling timelines from July 2024 to September 2025.

Potential for increased observation efficiency and planning accuracy.

Abstract

This study presents a systematic approach to optimize the scheduling of exoplanet observations using the James Webb Space Telescope (JWST), focusing on targets discovered by the Transiting Exoplanet Survey Satellite (TESS). We developed a methodology to refine transit timing predictions for JWST's Cycle 3 Guest Observer program, specifically for the NIRISS/SOSS and NIRSpec/BOTS observation modes. Our process involved data collection from JWST proposal documents, cross-matching with TESS data, and applying the Transit Least Squares (TLS) algorithm for transit detection and characterization. We created comprehensive timelines for instrument usage and individual proposals, providing a visual representation of the observation schedule from July 2024 to September 2025. This approach demonstrates the potential for improved efficiency in JWST time allocation and sets a foundation for future refinements in astronomical observation planning.