Siddharth Chaini

Congratulations!! 🎉

Lights, camera, action!

The world's largest digital camera has been installed at NSF–DOE Rubin Observatory! 🤩

The LSST Camera was the final major component of the observatory. With it in place, Rubin officially enters its final phase of testing!🔭

🔗: rubinobservatory.org/news/lsst-camera-installed

What do you think of an Android ROM without Gapps?

It’s. Friday. Night.

I’ve done enough this week.

You have done enough this week.

(Yes, you.)

Super cool!!! Congrats 🎉🎉

If you had to guess: how long do you think until JAX is the clear winner?

When headline writers say things like “defies known science” or “should be impossible” or “baffles scientists” they’re feeding an attitude that scientific results should all be taken as not just contingent, but completely meaningless. It breeds distrust or even contempt toward science & scientists

A softly blurred grayscale photo of the circle-shaped top end of Rubin’s Simonyi Survey Telescope, which fills the image. A group of about 10 tiny human figures is lined up at the very bottom of the photo, lining the bottom of the circle. A three-by-three grid separated by black lines is overlaid on the image, indicating the camera's sensor array.

Photons, meet the Commissioning Camera 🤝

On October 24, Rubin staff successfully completed the first end-to-end on-sky test of the full telescope system using the testing camera — from capturing the sky to transferring data to SLAC! 🔭🧪

🔗: https://rubinobservatory.org/news/test-camera-sees-sky

We used 18 distance metrics to classify light curves. We found DistClassiPy is efficient, explainable and customizable!

You can choose the distance metrics best suited for your problem.

Light Curve Classification with DistClassiPy: a new distance-based... The rise of synoptic sky surveys has ushered in an era of big data in time-domain astronomy, making data science and machine learning essential tools for studying celestial objects. Tree-based...

Excited to unveil our new project, DistClassiPy - it went up on arXiv today!

arxiv.org/abs/2403.12120

We used distance metrics to classify astrophysical light curves, but you can use it for your data too!

Try it out here: github.com/sidchaini/Di...