Doppler imaging and light curve inverstion tool created by Michael K. Plummer for modeling stellar/substellar surfaces. The Python module simulates spectroscopic and photometric observations with both a gridded, numerical simulation and analytical model. Imber has been specifically designed to predict Extremely Large Telescope instrument (e.g. ELT/METIS and TMT/MODHIS) Doppler imaging performance. It has also been applied to existing, archival observations of spectroscopy and photometry to model surface features on Luhman 16B, a nearby L/T transition brown dwarf.
Version 1.0 is oriented for Doppler imaging performance testing as demonstrated in Plummer & Wang (2023).
Version 3.0 is optimized for lightcurve inversion. It adds multi-rotational spot evolution (temperature contrast and size) and also incorporates wave models for photometric variability. A Jupyter notebook tutorial is included with application to SIMP0136.
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Plummer & Wang (2022) A Unified Spectroscopic and Photometric Model to Infer Surface Inhomogeneity: Application to Luhman 16B, The Astrophysical Journal, Volume 933, Issue 2, id.163, 17 pp., July 2022.
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Plummer & Wang (2023) Mapping the Skies of Ultracool Worlds: Detecting Storms and Spots with Extremely Large Telescopes, Accepted for publication in the Astrophysical Journal.
AstroPy, Dynesty, Matplotlib, Numpy, Pandas, SciPy, SecretColors, SpecUtils, TQDM