pyirf | Python IRF builder

 by   cta-observatory Python Version: 0.11.0 License: MIT

kandi X-RAY | pyirf Summary

kandi X-RAY | pyirf Summary

pyirf is a Python library. pyirf has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pyirf' or download it from GitHub, PyPI.

Python IRF builder
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            kandi-support Support

              pyirf has a low active ecosystem.
              It has 13 star(s) with 25 fork(s). There are 26 watchers for this library.
              There were 1 major release(s) in the last 6 months.
              There are 33 open issues and 54 have been closed. On average issues are closed in 94 days. There are 9 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyirf is 0.11.0

            kandi-Quality Quality

              pyirf has no bugs reported.

            kandi-Security Security

              pyirf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              pyirf is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pyirf releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyirf and discovered the below as its top functions. This is intended to give you an instant insight into pyirf implemented functionality, and help decide if they suit your requirements.
            • Optimizes the cutoff for each bin
            • Calculate the percentile cut
            • Create a histogram table
            • Calculate the indices of bin indices
            • R Evaluate binned cuts
            • Apply interpolation to a PSF table
            • Calculate the cumulative cumulative distribution of a given PDF
            • Interpolate a binned PDF
            • Calculate the energy density of the events
            • Normalize histogram
            • Calculate the angular resolution
            • Create a background 2D hdu
            • Adds the bounds to the given bins
            • Calculate theta angle of an event
            • Calculate the offset of the source frame
            • Calculate the weight of the event based on the target energies
            • Create bins per curve
            • Create a PSF table hdu
            • Interpolate energy dispersion using binned distribution
            • Evaluate a binned cut
            • Create the RAD_MAX HDU
            • Calculate percentile cut
            • Calculate the energy bias based on events
            • Reads the event display
            • Create an EDF table with energy dispersion
            • Create an Eff2D HDU
            • Generate a 2D 2D histogram
            Get all kandi verified functions for this library.

            pyirf Key Features

            No Key Features are available at this moment for pyirf.

            pyirf Examples and Code Snippets

            No Code Snippets are available at this moment for pyirf.

            Community Discussions

            No Community Discussions are available at this moment for pyirf.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install pyirf

            You can install using 'pip install pyirf' or download it from GitHub, PyPI.
            You can use pyirf 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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            Install
          • PyPI

            pip install pyirf

          • CLONE
          • HTTPS

            https://github.com/cta-observatory/pyirf.git

          • CLI

            gh repo clone cta-observatory/pyirf

          • sshUrl

            git@github.com:cta-observatory/pyirf.git

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