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plot Authors:

  1. Prajwal Niraula --- [email protected]
  2. Aaron Householder --- [email protected]

Institute: Earth, Atmosphere, and Planetary Science, MIT

[What is tierra?]

TIERRA (TransmIssion spEctRoscopy of tRansiting plAnets) is a 1D spEctRoscopy code that adopted and expanded in python by from the original Matlab by Julien de Wit (de Wit et. al 2016, 2018). Currently only 7 molecules were originally included in the code: methane, carbon-monoxide, carbon-dioxide, water, hydrogen, nitrogen and ozone as part of the study Niraula & de Wit et. al 2022). However this has been recently updated to include a wider range of molecules

The default parameters for generating the cross-section are also

The code uses emcee for performing the data.

[Installation]

First make the clone of the github by:

$ git clone https://github.com/disruptiveplanets/tierra

To run this project, install it locally using python3. You might need super user privilege to install.

$ cd tierra
$ python3 setup.py install

[Updates]

Here are the updates we are working on:

  1. Use different PT Profile
  2. Add Emission spectroscopy functionality
  3. Add better wrappers around fitting
  4. Add capabilities of post-processing code.

[Installation]

We are re-vamping tierra to make it publicly usable for anyone. Currently

[Cross-section]

Cross-section should be separately downloaded. All the nine cross-sections related data are around 160GB space in your local space. If you are using the default cross-section this can be directly downloaded from the zenodo at:

The Link will be updated soon

[Framework]

The framework for perturbation test and is further discussed under the paper Niraula et. al 2022 plot

##################################################################################################################################### For Niraula & de Wit et al. 2022 paper the following grid is used: Temperature: 100, 110, 120, 130, 140, 160, 180, 200, 230, 260, 290, 330, 370, 410, 460, 510, 580, 650, 730, 810 Log10 Pressure (atm): -5.00, -4.20, -3.80, -3.50, -3.25, -3.05, -2.95, -2.85, -2.75, -2.65, -2.55, -2.45, -2.30, -2.15, -2.00, -1.85, -1.70, -1.55, -1.4, -1.25, -1.1, -0.95, -0.80, -0.70, -0.60, -0.50, -0.40, -0.30, -0.20, 0.10, 0.00, 0.10, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, 1.00, 1.10, 1.20, 1.30, 1.40, 1.50, 1.60, 1.70, 1.80, 1.90, 2.00 #####################################################################################################################################

##################################################################################################################################### For WASP-39 b retrieval following grid is used: Temperature: 100, 110, 120, 130, 140, 160, 180, 200, 230, 260, 290, 330, 370, 410, 460, 510, 580, 650, 730, 810, 900, 1000, 1100, 1200, 1400, 1600, 1800, 2000, 2200, 2400, 2600, 2800, 3000 Pressure:-5.00, -4.20, -3.80, -3.50, -3.25, -3.05, -2.95, -2.85, -2.75, -2.65, -2.55, -2.45, -2.30, -2.15, -2.00, -1.85, -1.70, -1.55, -1.4, -1.25, -1.1, -0.95, -0.80, -0.70, -0.60, -0.50, -0.40, -0.30, -0.20, 0.10, 0.00, 0.10, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, 1.00, 1.10, 1.20, 1.30, 1.40, 1.50, 1.60, 1.70, 1.80, 1.90, 2.00 #####################################################################################################################################

##################################################################################################################################### For Titan retrievals Temperature: 70, 84, 98, 112, 126, 140, 154, 168, 182, 196, 210, 224, 238, 252, 266, 280, 294, 308 322, 336, 350, 364, 378, 392 Pressure:-5.00, -4.20, -3.80, -3.50, -3.25, -3.05, -2.95, -2.85, -2.75, -2.65, -2.55, -2.45, -2.30, -2.15, -2.00, -1.85, -1.70, -1.55, -1.4, -1.25, -1.1, -0.95, -0.80, -0.70, -0.60, -0.50, -0.40, -0.30, -0.20, 0.10, 0.00, 0.10, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, 1.00, 1.10, 1.20, 1.30, 1.40, 1.50, 1.60, 1.70, 1.80, 1.90, 2.00 #####################################################################################################################################

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