| Name: | Bestha Manjunath |
| Affiliation: | Indian Institute of Astrophysics |
| Conference ID: | ASI2025_451 |
| Title: | Simulation of High-Resolution Multi-Object Transmission Spectroscopy |
| Authors: | Manjunath Bestha
Sivarani T
Athira Unni
Devika K Divakar
Parvathy M |
| Authors Affiliation: | Bestha Manjunath (Indian Institute of Astrophysics)
Sivarani T (Indian Institute of Astrophysics)
Athira Unni (University of California, Irvine, USA)
Devika K Divakar (Indian Institute of Astrophysics)
Parvathy M (Indian Institute of Astrophysics) |
| Mode of Presentation: | Poster |
| Abstract Category: | Sun, Solar System, Exoplanets, and Astrobiology |
| Abstract: | The atmospheric characterization of exoplanets has traditionally relied on space-based low-resolution transmission spectroscopy, ground-based multi-object low-resolution spectroscopy (LRTS), and high-resolution transmission spectroscopy (HRTS). Both low and high-resolution time-series observations from ground-based facilities hold the potential to reveal an exoplanet’s atmospheric composition by examining transit depth at different wavelength bins using LRTS and by analyzing resolved spectral lines using HRTS. However, HRTS is a double-differential technique, leading to normalization degeneracy. This degeneracy poses a challenge in retrieval analysis, where changes in cloud properties can offset variations in abundance, complicating the determination of precise atmospheric parameters such as temperature, abundance, and cloud opacity.
Mitigating this issue involves combining low-resolution transmission spectra with high-resolution spectra. However, performing both types of observations under different environmental conditions introduces additional systematics. To address this, we propose the use of multi-object high-resolution transmission spectroscopy (Mo-HRTS), which has not been extensively explored. In this project, we simulate Mo-HRTS using the existing Maroon-X spectrograph. Here, we present our findings and demonstrate the potential of this approach for improving atmospheric retrievals of exoplanets.
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