Radial Velocity fitting, simulation and mass-precision estimation
Project description
ravest
(archaic) second-person singular simple present indicative of rave
Radial Velocity fitting, simulation and mass precision estimation
- Simulate RV data for given orbital and instrumental parameters
- Fit RV data with MCMC to explore posterior distributions for parameters
- Estimate the precision on mass estimate $M_p\sin{i}$: what precision can you expect from N observations, or how many observations are required to reach a target precision?
Installation
$ pip install ravest
Usage
- TODO
Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
License
ravest was created by Ross Dobson. It is licensed under the terms of the MIT license.
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 ravest-0.1.2.tar.gz.
File metadata
- Download URL: ravest-0.1.2.tar.gz
- Upload date:
- Size: 5.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.11.6 Linux/6.5.0-21-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d84a3999384bd9ef4ec18b6075785cba499fd7e6cb8b19407e651f064800053e
|
|
| MD5 |
b0e70da36b5fcc96ba708d9152f6c8af
|
|
| BLAKE2b-256 |
2df8a1e35ba2ef76ea63a914390469dad1a782b815138d0f237221344e64ff76
|
File details
Details for the file ravest-0.1.2-py3-none-any.whl.
File metadata
- Download URL: ravest-0.1.2-py3-none-any.whl
- Upload date:
- Size: 6.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.11.6 Linux/6.5.0-21-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3862626e6c5541c2a84093b621cdba4d667b5273a129169cdb166d3e6cd57c8f
|
|
| MD5 |
0354c13507b57ef3e0644483d56338e3
|
|
| BLAKE2b-256 |
8c4b8ec89ca58499c23086a500002e217520240f11014a26aed07c6e368503a9
|
