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federica bianco
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University of Delaware
Department of Physics and Astronomy
federica bianco
Biden School of Public Policy and Administration
Data Science Institute
NYU Center for Urban Science and Progress
Time domain astrophysics at a glance
Rubin LSST
Leading the Rubin LSST army of volunteers
Rubin LSST projects at FASTLab
At the intersection of astrophysics and Public Policy: From Light Echoes to Pollution Plumes
Data skills for good: COVID response support in Delaware
https://www.youtube.com/watch?v=qc_iscV1uA0
Time domain astrophysics at a glance
Rubin LSST
Leading the Rubin LSST army of volunteers
Rubin LSST projects at FASTLab
At the intersection of astrophysics and Public Policy: From Light Echoes to Pollution Plumes
Data skills for good: COVID response support in Delaware
Time domain astrophysics at a glance
Rubin LSST
Leading the Rubin LSST army of volunteers
Rubin LSST projects at FASTLab
At the intersection of astrophysics and Public Policy: From Light Echoes to Pollution Plumes
Data skills for good: COVID response support in Delaware
Time domain astrophysics at a glance
Rubin LSST
Leading the Rubin LSST army of volunteers
Rubin LSST projects at FASTLab
At the intersection of astrophysics, Public Policy, and AI: From Light Echoes to Pollution Plumes
Data skills for good: COVID response support in Delaware
Time domain astrophysics at a glance
Rubin LSST
Leading the Rubin LSST army of volunteers
Rubin LSST projects at FASTLab
At the intersection of astrophysics, Public Policy, and AI: From Light Echoes to Pollution Plumes
Data skills for good: COVID response support in Delaware
Time domain astrophysics at a glance
The immutable skies
Bartolomeu Velho, 1568 (Bibliothèque Nationale, Paris)
Will we discover new physics?
A survey of Machine Learning features and methods to discover unique objects and rare classes in regularly and irregularly sampled time series
Sparse, unevenly sampled Kepler time series
2D T-SNE projection of feature space
Weirdness score
Evenly sampled Kepler time series
Will we discover new physics?
A survey of Machine Learning features and methods to discover unique objects and rare classes in regularly and irregularly sampled time series
Evenly sampled Kepler time series
Sparse, unevenly sampled Kepler time series
2D T-SNE projection of feature space
Weirdness score
Boyajian’s star
Vera C. Rubin Observatory:
Ushering a New Era of TDA
LSST Science Drivers
Probing Dark Energy and Dark Matter
image credit ESO-Gaia
LSST Science Drivers
Mapping the Milky Way and Local Volume
via resolved stellar population
An unprecedented inventory of the Solar System from threatening NEO to the distant Oort Cloud
LSST Science Drivers
LSST Science Drivers
image credit: ESA-Justyn R. Maund
Exploring the Transients and Variable Universe
Observatory
3.2 Gigapixel camera
378 4K ultra-high-definition TV
18 months of COVID have caused a 24 months delay in construction
interlocking requirements have superlinear effects
Survey Start 2024 (probably)
world public!
world public
data right holders
single image depth ~24
10-year stack image depth ~27
image resolution 0.2'' (seeing limited)
18,000 sq degrees
815 images over 10 years in 6 filters
2 images per night
each fields reobserved within ~days
5 fields observed to higher cadence and more images
Astronomy meets Data Science
SDSS
1990s-2000
LSST
(simulated)
Rubin will see ~1000 SN every night!
A lot of them will be too faint to study with traditional means, particularly spectra.
Lots of emphasis in new analysis techniques that rely on "Big Data"
the Rubin LSST
Science Collaborations
The Rubin Organization is almost as complex as the Universe it will explore!
The Rubin Organization is almost as complex as the Universe it will explore!
8 SCs - 6 continents - 2000 people - 25 countries
8 SCs - 6 continents - 2000 people - 25 countries
Chairs of the Transients and Variable Stars Science Collaboration
Science Collaborations Coordinator
Chairs of the Transients and Variable Stars Science Collaboration
Science Collaborations Coordinator
Member of the SAC
Member of the Contribution Evaluation Committee
Member of the LSSTC Executive Board
Member of the Research Inclusion Working Group
Survey
design
distributions of time gaps in 76 OpSims
Rubin Focus Issue of ApJS on Rubin Survey Strategy Optimization
40+ submissions
The SCs were core to this process
We study rare and unusual transients with machine learning and probabilistic inference
Defines a 5-fold metric to evaluate completeness of LSST observations along features relevant to transients
proposing an LSST strategy collecting 3 images in 1 night in 2 filters Bianco et al. 2019
Astronomy’s Discovery Chain
Discovery Engine
10M alerts/night
Community Brokers
target observation managers
Mr. Ming Lian Master Thesis
Sampling 40,000 transients
for each of 22 classes
in a hypercube in 6 dimensions:
- DT1
- DT2
- Filter 1
- Filter 2
- color
- magnitude
Sampling 40,000 transients
for each of 22 classes
in a hypercube in 6 dimensions:
- DT1
- DT2
- Filter 1
- Filter 2
- color
- magnitude
Punusual~0.95
Punusual~0.01
Mr. Ming Lian Master Thesis
Improving the efficiency of transient detections with Neural Networks: can we avoid template subtraction altogether?
search
template
Acero-Cuellar et al. almost submitted
Improving the efficiency of transient detections with Neural Networks: can we avoid template subtraction altogether?
search
template
difference
-
=
Acero-Cuellar et al. almost submitted
Improving the efficiency of transient detections with Neural Networks: can we avoid template subtraction altogether?
search
template
difference
-
=
Saliency maps: what pixels matter?
search
template
difference
95% accurate
Acero-Cuellar et al. almost submitted
Improving the efficiency of transient detections with Neural Networks: can we avoid template subtraction altogether?
search
template
template
search
Saliency maps: what pixels matter?
92% accurate
Acero-Cuellar et al. almost submitted
Can we study unusual SNe with Rubin data alone?
Data Driven Templates for rare classes of supernovae arising from massive stars: can we tell them apart from sparse LSST data lightcurves?
Creating templates from over 1000 photometry of Stripped Envelope Supernovae
Dr. Somayeh Khakpash
Willow Fox Fortino's next paper
Do we really need a spectrograph??
Umer Zubair's
master's thesis
Stars that flare
Clarke, Davenport, Gizis, Bianco, in prep
What can we learn from 1 data point?
Because LSST will have exquisite image quality we may be able to measure color from atmospheric diffraction
Magnitude -> Flare energy
Star displacement -> color -> flare temperature
Li et al. almost submitted
AILE: the first AI-based platform for the detection and study of Light Echoes
NSF Award #2108841
Detecting and studying light echoes in the era of Rubin and Artificial Intelligence
P.I. Bianco
Pessimal AI problem:
AILE: the first AI-based platform for the detection and study of Light Echoes
YOLO + attention mechanism
precision 80% at 70% recall with a training set of 19 light echo examples!
NSF Award #2108841
Detecting and studying light echoes in the era of Rubin and Artificial Intelligence
P.I. Bianco
Li et al. almost submitted
Multi-city Urban Observatory Network
Studying cities as complex systems through imaging data
Multi-city Urban Observatory Network
Studying cities as complex systems through imaging data
From Light Echoes to Polluting Plumes
Ian Heffner, UD MSDS
improved image
subtraction through PCA
Pessimal AI problem:
From Light Echoes to Polluting Plumes
Ian Heffner, UD MSDS
improved image
subtraction through PCA
Pessimal AI problem:
Text
COVID-19 - an opportunity to be useful or an opportunistic exploitation of a serious problem?
1
Is there a need?
dont overestimate the resources that are available
"Christiana care is seeking someone with Python expertise..."
surge plans rely on mutual aid between States
1
Is there a need?
"Christiana care is seeking someone with Python expertise..."
2
Can I fulfill that need?
"Christiana care is seeking someone with Python expertise..."
"ChristianaCare is seeking someone with Python expertise..."
to work with the CC Value institute epidemiologist and software engineer
DE COORDINATION
EPIDEMIOLOGY
INTEGRATION W CC NEEDS AND RESOURCES
COVID-19 - through Eric Best we have the most accurate dataset on COVID of all of the USA
Eric Best works tirelessly to harvest and curate data from each DE hospital (and now potentially PA) and demographic data from DEMA
Dr. Eric Best, UD Biden School, now Ass. Professor at PennState
. what are the impacts of DE’s unique demographic distribution on hospitalization?
. how will policy changes affect disease progression and hospitalization?
. will there be a suppression of disease propagation in future summer months?
. how do we incorporate behavioral properties of the in- and out-of-state sub-populations?
. what level of resurgence might we expect to see if social distancing is relaxed (e.g. UD repoen)?
. if re-infection is a possibility, what is the efficacy of vaccines?
. new virus variants?
DE Schools closing
murder of
George Floyd
US election campaign
Vaccines
Delta Variant,
pessimistic prediction
MSDS 2020
Jonathan Clifford
Farid Qmar
Engineering &
Public Policy PhD
NIH The Effects of Subpopulations and Policy Change on COVID19 Hospital Demand Models P.I Dobler, CoP.I. Bianco
dashboard now being used by other states
e-DHARMA: a DHARMA emulator
Manjula Ibrahim
MSDS Thesis 2021
NIH The Effects of Subpopulations and Policy Change on COVID19 Hospital Demand Models P.I Dobler, CoP.I. Bianco
Replacing MCMC with a Neural Network to speed up the predictions
This framework allows for substantial flexibility to include effects such as:
· time-dependent social distancing
· mask mandate compliance
· person-to-person contact rates
· age, gender, race, and ethnicity
· individual susceptibilities
· comorbidities
· probabilistic hospital length of stay
· asymptomatic subpopulations
· vaccine availability and use
· closing and reopening
· hospital discharge and intake operations
"It has been invaluable to have predictions for the next week instead of having to panic about the next shift"
A UD COVID-19 hackathon
Research Inclusion: sonification of LSST lightcurves
Sid Patel, UD undergrad summer research project
Sonification: Data → Sound
New way of understanding data
Gives access to people who cannot
interpret data visually
Sounds cool! Good for public outreach
Research Inclusion: sonification of LSST lightcurves
Presented at 2021 Rubin Project Community Workshop (300 ppl)
Started a new Rubin Working Group
Rubin Rhapsodies
thank you!
University of Delaware
Department of Physics and Astronomy
Biden School of Public Policy and Administration
Data Science Institute
federica bianco
fbianco@udel.edu
Rubin LSST will deliver 10M alerts each night about anything that changed in the southern hemisphere sky: supernovae, merging stars, transiting planets, gravity bendind light and magnifying stars...
to anyone in the world by a set of selected "brokers" that will work with Rubin to accomplish this incredible goal!
the data belongs to the people!
within 60 second of detection!
The LSST Science Platform
Rubin and MMA
LIGO/VIRGO area of localization ~100deg square
Ursa Minor contains 255.86 square degrees
S190425z 18% of the sky localization
Rubin can find the electromagnetic counterpart of Gravitational Wave and Neutrino discoveries better than any survey!
LIGO/VIRGO area of localization ~100deg square
Ursa Minor contains 255.86 square degrees
Rubin FoV 10 deg
S190425z 18% of the sky localization
AT 2017gfo
optical counterpart we have identified near NGC 4993 is associated with GW170817
https://iopscience.iop.org/article/10.3847/2041-8213/aa9059 M. Soares-Santos+2017
(but also Abbott+2017, Drout+2017...... )
Evidence that mergers of NS are significant sources of r-process elements heavier than iron, including gold and platinum, which was previously attributed exclusively to supernova explosions
MARGUTTI+ 2018
MARGUTTI+ 2018
Rubin and LEOsats
MMA and LEOsats
Iridium satellite number 35 lit up the predawn sky west of Boston at 5 a.m. EST on February 1, 1998, Sky & Telescope
Satellite flares
can be mitigated:
- orientation of satellite,
- directing flares away from observer
- knowing coordinates to associate them to alerts
if not mitigate there would be bogus alerts and images ruined by saturating flares
Science Collaborations
Science Collaborations
modification to planned schedule carry long lasting consequences on the program
ToO enabled for GW need to scan ~100 sq deg footprint upon trigger - will be compromised
Science Collaborations
Cosmology probes are systematic dominated
mitigation: simulation of the non-linear crosstalk to measure the effect on precision cosmology and effectiveness of removal algorithms
(image credit: Canada-France Hawaii Telescope)
Diversity Equity Inclusion
We aspire to be an inclusive, equitable, and ultimately just group and we are working with renewed vigor in the wake of the recent event that exposed inequity and racism in our society to turning this aspiration into action.
what's in a name?
The first ground-based national US observatory named after a woman, Dr. Vera C. Rubin
VRO
In the first 10 years of its life Rubin will conduct the Legacy Survey of Space and Time or LSST
thank you!
https://www.lsst.org/
https://www.lsst.org/scientists/science-collaborations
https://www.lsstcorporation.org/
