uvmcmcfit | Python software that uses emcee
kandi X-RAY | uvmcmcfit Summary
kandi X-RAY | uvmcmcfit Summary
uvmcmcfit is a Python library. uvmcmcfit has no bugs, it has no vulnerabilities and it has low support. However uvmcmcfit build file is not available and it has a Non-SPDX License. You can download it from GitHub.
Detailed documentation is available at Python software to fit models to interferometric data, appropriately accounting for gravitational lensing as needed.
Detailed documentation is available at Python software to fit models to interferometric data, appropriately accounting for gravitational lensing as needed.
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uvmcmcfit has a low active ecosystem.
It has 7 star(s) with 5 fork(s). There are 5 watchers for this library.
It had no major release in the last 12 months.
uvmcmcfit has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of uvmcmcfit is v0.1.1
Quality
uvmcmcfit has no bugs reported.
Security
uvmcmcfit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
uvmcmcfit has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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uvmcmcfit releases are available to install and integrate.
uvmcmcfit has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed uvmcmcfit and discovered the below as its top functions. This is intended to give you an instant insight into uvmcmcfit implemented functionality, and help decide if they suit your requirements.
- Plot the test fitting
- Compute the sensitivity map for a set of sources
- Logarithm of the log likelihood
- Return the phase center of the image
- Load the UV spectrum
- Compute the likelihood of a poff_model
- Load parameters from an ALMA image file
- Generate matplotlib plot
- Generator to iterate over a set of figures
- Rolls up a visibilities from a visfile
- Plot the covariance
- Pre - prune a PDF
- Remove columns from PDF data
- Convert a visw file to a wt file
- Calculate the value of the statistic wgt
- Calculate spectral average spectral average spectrum
- Load a vispy file
- Plots the best fit of the posterior PDF
- Prints the parameters of the fit
- Fit a uvm model to a given model
- Subtracts the visibilities from the model
- Zerow tz file
- Load parameters from an ALMA image file
- Scales the weights of vispy
- Find the best fit of the posterior PDF
- Evaluate the evolution of the posterior pdf
- Load the UV data from a file
- Generate a mask for a given image
- Load the phase center of the image
Get all kandi verified functions for this library.
uvmcmcfit Key Features
No Key Features are available at this moment for uvmcmcfit.
uvmcmcfit Examples and Code Snippets
No Code Snippets are available at this moment for uvmcmcfit.
Community Discussions
No Community Discussions are available at this moment for uvmcmcfit.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install uvmcmcfit
You can download it from GitHub.
You can use uvmcmcfit like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use uvmcmcfit like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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