DL Newsletter Top Banner

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

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.

Map of MS stars

The screenshot above shows the spatial distribution of Main Sequence stars in M31, queried from the PHAT survey at Data Lab.

Contact Us

You can visit our website, use the Helpdesk, reach us via email, and follow us on Twitter.

Currently registered and active users have been subscribed to this Newsletter mailing list. To unsubscribe, send an empty email to datalab-newsletter-unsubscribe@mailman.tuc.noirlab.edu and follow the instructions in the verification email to confirm.

DL Newsletter Bottom Banner