If your conda environment uses a different version of Python, you will need to create a new conda environment.

If you are reducing recent (2022A and beyond) Flamingos 2 data, please also install this small patch to Gemini IRAF v1.14 that comes with the conda installation.ĭRAGONS v3.0 requires Python 3.7.

IMPORTANT for Flamingos 2 users still using Gemini v1.14.

Version 1.15 includes new support for Flamingos 2 MOS data.

If they are not already installed with your OS, you can find instructions here: 32-bit compatibility libraries are required to run Gemini IRAF (as installed via Astroconda).

DRAGONS will seem to install fine, but critical dependencies will not run properly or at all with CentOS 6 systems or below. The minimum requirements for Anaconda is now CentOS 7 or equivalent. We recommend that you do your DRAGONS work natively rather using the VM. The VM is needed only for Gemini IRAF work. On Apple machines with an Intel CPU, the virtualization overhead is much smaller. However, this comes with an order-of-magnitude speed penalty, because of the need to emulate an Intel CPU on ARM64, which is unavoidable without having 64-bit ports of Gemini IRAF and its dependencies (such as STSDAS). This should provide a reliable and relatively convenient way of running Gemini IRAF on recent Apple computers with an M1/M2 processor (though M2 has not been tested yet). Gemini In The Era of Multi-Messenger AstronomyĪ new virtual machine implementation for running IRAF on MacOS 10.14+ is now available.Gemini Telescopes, Science and Technologies.Timing information in Gemini Instruments.

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