Intesity modelling of multiply-imaged objects
Project description
Mimical (Modelling the Intensity of Multiply-Imaged CelestiAl Light)
Mimical is an intensity modelling code for multiply-imaged objects, performing simultaenous Bayseian inference of model parameters via the nested sampling algorithm. Mimical supports any astropy model, and supports user defined parameter polynomial depenency with image wavelength.
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
mimical-0.0.9.tar.gz
(8.5 kB
view details)
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 mimical-0.0.9.tar.gz.
File metadata
- Download URL: mimical-0.0.9.tar.gz
- Upload date:
- Size: 8.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
283a9b799324396ddc2fbed08c6531dab08b6dc34def07e51cb24e5bb769a0b3
|
|
| MD5 |
787b43cdea95aa6248e8136503fbce5f
|
|
| BLAKE2b-256 |
f90349f77b800e39ab2850611f7d44d0ced966fa154f741d5221e88b551cf9c1
|
File details
Details for the file mimical-0.0.9-py3-none-any.whl.
File metadata
- Download URL: mimical-0.0.9-py3-none-any.whl
- Upload date:
- Size: 9.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
554a40a6892b89f80041653b77db3319e1b481898e7e3901ab5876a4f46fd8af
|
|
| MD5 |
c920ae460dd48686dcfe607affe5ecbb
|
|
| BLAKE2b-256 |
f745451ab8b783f0bf8ca170b326bcf12b9f403a4cdef19166145739652c2f70
|
