mkplummer/Imber: Imber 3.0: Modeling Spectrophotometric Variability of a Planetary-Mass Object

Imber 3.0 Details

Imber is a 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 and recreates the work in Plummer & Wang (2024).

Imber 3.0 Files & Description

1. Imber30.py -- Python File with necessary classes to run Imber 3.0
2. Tutorial.ipynb -- Jupyter notebook tutorial
3. SIMP0136+0933_fluxes_7Feb.numbers -- Numbers Worksheet with raw reduction of fluxes

Code Dependencies:

AstroPy, Dynesty, Matplotlib, Numpy, Pandas, SciPy, SecretColors, SpecUtils, TQDM