federica bianco PRO
astro | data science | data for good
Rubin LSST ToO program
University of Delaware
Department of Physics and Astronomy
Biden School of Public Policy and Administration
Data Science Institute
Rubin Legacy Survey of Space and Time
Deputy Project Scientist for Construction
LSST Survey Scientist
federica b. bianco
she/her
May 2022 - Telescope Mount Assembly
3.2 Gigapixels:
We built the largest (declassified) camera ever built
to look farther and wider into the sky than ever before
In 2026 we will begin observing the sky with 1000 images every night for 10 years
0.2'' / pixel, 6 filgers (ugrizy)
federica bianco - fbianco@udel.edu
Rubin ToO program
Andreoni+ 2022b
+80 authors!
PROS:
Large FoV (10 sq deg - easly cover 100 sq deg in full)
6 filters (5 available on any given night)
deep observations (r~24 in 30 sec, up to 180 sec)
public data
federica bianco - fbianco@udel.edu
Rubin ToO program
Andreoni+ 2022b
+80 authors!
PROS:
Large FoV (10 sq deg - easly cover 100 sq deg in full)
6 filters (5 available on any given night)
deep observations (r~24 in 30 sec, up to 180 sec)
public data
CONS:
no custom pipelines planned
80 hours delay in image access
limited sky time (not a PI facility)
Rubin ToO program
https://arxiv.org/pdf/2411.04793
Rubin ToO program
rapid accutare alert release
80 h
Saliency maps: what pixels matter?
search
template
difference
Tatiana Acero-Cuellar
UNIDEL fellow
LSST Data Science Fellow
The Rubin LSST ML-Reliability Score (aka real-bogus)
accuracy 98.06%, purity 97.87%, completeness of 98.27%... on simulated data
- requires instantaneous inference
- limited computational resources (CPU)
- evolving data quality
- limited ground truth data (e.g. no variable stars in training)
DP1
POI/Variables
Ampel
Alerce
Ampel
ALERTS HAVE STARTED!
Why not always? We deliver alerts on DDF+Virgo when we run the survey in survey mode (=not engineering tests)
Why not everywhere? Limited templates available - template foorprint increasing
~7M alerts per night
*Conservative ML-reliability scores for now because the infrastructure (Rubin and brokers) is still under development
classifications by ALeRce and Lasair
ALERTS HAVE STARTED!
The LSST
Science Collaborations
A community of practice funded on principles of Equity, Inclusivity, Cooperation
is a word I am borrowing from Margaret Atwood to describe the fact that the future is us.
However loathsome or loving we are, so will we be.
Whereas utopias are the stuff of dream dystopias are the stuff of nightmares, ustopias are what we create together when we are wide awake
US-TOPIA
thank you!
federica bianco
fbianco@udel.edu
Rubin ToO 2026
By federica bianco
Rubin ToO 2026
Opportunities and Challenges of Machine Learning and AI for the next-generation time domain astronomical survey
