We are happy to share with you the latest developments at Astro Data Lab in this January 2024 newsletter!
In this newsletter
- Data Lab at AAS 243 in New Orleans
- IRAF and Gemini IRAF now run natively on ARM Macs
- New Jupyter notebooks
Data Lab at AAS 243 in New Orleans
Data Lab team members will be at the AAS 243 winter meeting in New Orleans. Come find us at the NOIRLab booth #202D within the larger NSF pavilion, grab some new Data Lab and SPARCL postcards and stickers, and chat with team members Alice Jacques, Yumi Choi, Mike Fitzpatrick, and Robert Nikutta about the science you can do with Astro Data Lab. We are also there to do any troubleshooting with our users.
We have 30-minute live demos of Data Lab scheduled during various coffee breaks and poster sessions, at the dedicated demo station in the NOIRLab booth #202D:
- Sunday, Jan 7, at 7 pm (during the Exhibition Hall Opening)
- Monday, Jan 8, at 5 pm and 5:30 pm
- Tuesday, Jan 9, at 9 am and 2 pm
- Wednesday, Jan 10, at 9:30 am and 2 pm
- Thursday, Jan 11, at 9 am
We are also looking forward to talking with users at any other time.
IRAF and Gemini IRAF now run natively on ARM Macs
The US National Gemini Office (US NGO) is happy to launch the new NOIRLab IRAF v2.18 on Sunday, January 7, at the AAS Meeting. The main goal of this modernization project was to provide a stable, fast, reliable, and accessible data reduction option to Gemini users while new and modern software is being developed for all facility instruments and modes. Further details, including links for downloading NOIRLab IRAF, are available on our new website: https://iraf.noirlab.edu/. Check out Poster 201.16 on Tuesday, January, 9:00 - 10:00 am and also live demos of NOIRLab IRAF scheduled during various coffee breaks and poster sessions, at the demo station in NOIRLab’s booth #202D:
- Sunday, Jan 7, at 7:30 pm (during the Exhibition Hall Opening)
- Monday, Tuesday, Wednesday, Jan 8, 9, 10, at 10:00 am, 10:30 am, and 6:00 pm
- Thursday, Jan 11, at 10:00 am and 10:30 am
We are also looking forward to talking with users at any other time and helping with installation and any other questions.
New Jupyter notebooks at Data Lab
A new notebook was recently added to Data Lab's extensive collection of notebooks for our user community:
Exploring Resolved Stellar Populations in M31 with PHAT
Author: Yumi Choi
The notebook explores the resolved stellar populations in M31, using the Panchromatic Hubble Andromeda Treasury
(PHAT) dataset at Data Lab. It
demonstrates how to query and select the stellar populations, plot healpixel-based maps,
retrieve photometry, and how to plot broad-band stellar spectral energy distributions and
UV/Optical/IR color-magnitude diagrams.
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