To estimate the noise of various telescopes conducting exoplanet-related observations.
Project description
ExoEcho
Welcome to ExoEcho! This repository contains the ExoEcho package, a tool for estimating signal and noise of exoplanet observations.
Features
- Provides a tool to create Telescope objects.
- Estimates signal & noise of observations conducted by customizable Telescopes!
- Provides a variety of commonly-used telescope systems for exoplanetary observations.
- Various tools specifically made for the upcoming Ariel mission, including all the instruments at key spectral resolutions. In particular, it provides useful plotting functions for the Ariel telescope.
Installation
To install ExoEcho, simply run the following command:
pip install exoecho
Target List Requirements
The target list that you want to use has to meet certain citeria. First of all, it must be passed as a pandas.DataFrame to ensure consistency with the rest of the package. Most importantly, you must run it through the cleanTargets.py script, which will separate out some given values and their respective uncertainties, the latter(s) of which can be found under the column names f"{column} upper unc" and f"{column} lower unc". Note that for upper or lower limit values, the given value will be kept but the "<" or ">" symbol will be remove. Also, you can add which column should be ignored by the cleaning process (such as notes / remarks, target names, references, etc).
Now for the most important prerequisite for the target lists: column names. I will list of the required target names (which are case sensitive). Please take note of the units, when applicable.
- Star Temperature [K]
- Star Radius [Rs]
- Star Distance [pc]
- Planet Name
- Planet Radius [Rjup]
- Planet Mass [Mjup]
- Planet Semi-major Axis [au]
- Planet Period [days]
- Transit Duration [hrs]
The following are optional column names. If they are not provided, the respective default values will be put instead (shown beside the name, separated by an arrow). Note that Planet Albedo is the planet's bond albedo. Default values for Planet Albedo, Heat Redistribution Factor, and Mean Molecular Weight are given by Edwards et al. [1]. The default Planet Geometric Albedo is given by Heng et al. [2]
- Planet Albedo -> 0.2
- Heat Redistribution Factor -> 0.8
- Mean Molecular Weight -> 2.3
- Planet Geometric Albedo -> 0.25
- Eclipse Duration [hrs] -> made equal to transit duration [hrs]
License
ExoEcho is licensed under the MIT License. See LICENSE for more information.
Contact
If you have any questions or suggestions, feel free to reach out to us at benjamin.coull-neveu@mail.mcgill.ca.
References
[1] Edwards et al., “An Updated Study of Potential Targets for Ariel.” [2] Heng, Morris, and Kitzmann, “Closed-Formed Ab Initio Solutions of Geometric Albedos and Reflected Light Phase Curves of Exoplanets.”
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file exoecho-0.1.6.tar.gz.
File metadata
- Download URL: exoecho-0.1.6.tar.gz
- Upload date:
- Size: 81.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4efd89f9eb3241bc282a052ffa3f5ea5c7864f49c3e706817cb0630244fe57c5
|
|
| MD5 |
819ab75a27a793608a31f37e44ab2e00
|
|
| BLAKE2b-256 |
e138886c911d99b2f65c5e8b29df7388efa44f4d2044e8e0eab84d6b893f4670
|
File details
Details for the file ExoEcho-0.1.6-py3-none-any.whl.
File metadata
- Download URL: ExoEcho-0.1.6-py3-none-any.whl
- Upload date:
- Size: 81.9 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
851b15d9e1cd88208587ec035e4e1bc58661af6fba387c14fe140e64856d2be7
|
|
| MD5 |
739bb44b155ac3f1b410be8ce612cf3f
|
|
| BLAKE2b-256 |
e073540338799bc232ea8f0ea4322210a9f7a0e77d5a1da08f9e5523a33850d4
|