Program

Invited Speakers

Derek Bingham (Simon Fraser University)
Topic: Emulation and uncertainty quantification of astrophysical computer models
Commentator: Justin Alsing (Stockholm University)

Rodrigo Carrasco-Davis (ALeRCE broker)
Topic: Rapid classification for survey broker systems
Commentator: Ashley Villar (Columbia University)

Nathan Hara (University of Geneva)
Topic: Significance metrics for exoplanetary radial velocity data
Commentator: Roman Baluev (St. Petersburg State University)

Alan Heavens (Imperial College London)
Topic: Bayesian hierarchical models for cosmology
Commentator: Tom Loredo (Cornell University)

Daniela Huppenkothen (SRON Netherlands Institute for Space Research)
Topic: Spectral timing of X-ray sources
Commentator: Aneta Siemiginowska (Smithsonian Astrophysical Observatory)

Alberto Krone-Martins (University of California Irvine)
Topic: Turning astronomical catalogs into discoveries
Commentator: Maria Suveges (Ecole Polytechnique de Lausanne)

Anais Moller (University of Clermont-Auvergne)
Topic: Bayesian neural networks for time-domain astronomy and cosmology
Commentator: Marc Huertas-Company (Observatoire de Paris)

Brian Nord (University of Chicago)
Topic: Deep Learning and uncertainty quantification
Commentator: Chad Schafer (Carnegie Mellon University)

Stella Offner (University of Texas)
Topic: Deep Learning to identify structures in 3D data
Commentator: Francois Lanusse (Centre d’Etudes Atomique de Saclay)

Jean-Luc Starck (CEA-Saclay)
Topic: Sparsity and machine learning for astronomical image restoration
Commentator: Shiro Ikeda (Institute of Statistical Mathematics)

Michele Vallisneri (Jet Propulsion Laboratory)
Topic: Statistics for finding gravitational waves from pulsar timing arrays
Commentator: G. Jogesh Babu (The Pennsylvania State University)

Barak Zackay (Weizmann Institute)
Topic: Exact statistics for optical and gravitational wave astronomy
Commentator: TBD

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Poster Presentations

SCMA VII poster presentations will be conducted via an interactive, multimedia virtual presentation platform. Participants can view posters in advance of the meeting and “visit” posters to converse with presenters during the Monday and Tuesday poster sessions. All conference participants who register before April 30 can present a poster. Please provide the title or topic of your poster during the conference registration process.

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Breakout Session Topics

Two 1.5-hour sessions of SCMA VII will be devoted to community discussion of four important topics in astrostatistics today. Researchers on these issues are invited to present contributed poster papers and discuss the challenges together in a moderated discussion environment. The four breakout topics are:

  • Deep Learning
    Sophisticated neural network architectures are finding a wide range of applications within astronomy, but they present many challenges. Network construction is often not based on principled statistical considerations; model interpretability and error quantification are difficult. Recent progress on these issues is promising. 
    Moderators: Bruce Bassett (University of Cape Town) and Matthew Graham (California Institute of Technology)
  • Bayesian Modeling and Computation
    Bayesian inference provides powerful mechanisms to incorporate new data into existing knowledge and constraints and to gain subtle insights from complex models. But the framework requires accurate specification of likelihood functions and heavy computation, requiring mathematical development and computational innovation. Astronomers are deeply involved in these issues.
    Moderators: Yang Chen (University of Michigan) and Kaisey Mandel (University of Cambridge)
  • Irregular Time Series
    Ground-based astronomical surveys produce vast numbers of lightcurves with irregular cadences. Specialized methods are needed for time domain characterization, search for periodicity, search for sudden transients, and classification into many types of variable objects. This is an area where most advances are made in astronomical contexts.
    Moderators: Josh Bloom (University of California Berkeley) and Hyungsuk Tak (The Pennsylvania State University)
  • Methodology for the Rubin/LSST Survey
    Wide-field, multi-epoch imaging surveys are now entering the peta-scale era with the LSST survey projected to detect tens of billions of cosmic objects. The many statistical challenges will require advanced image analysis, real-time filtering of variable objects, parameter estimation using complex models, and knowledge discovery from multivariate catalogs.
    Moderators: Leanne Guy (Rubin Observatory) and Francisco Forster (University of Chile)

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Schedule

All sessions will be held virtually via Zoom. All times listed are Eastern Daylight Time (EDT).

Monday, June 7
Time Session
10:00–11:00 a.m. Lecture and Commentary 1
11:00 a.m.–noon Lecture and Commentary 2
Noon–12:15 p.m. Break
12:15–1:45 p.m. Poster presentations A–K
1:45–2:00 p.m. Break
2:00–3:00 p.m. Lecture and Commentary 3
Tuesday, June 8
Time Session
10:00–11:00 a.m. Lecture and Commentary 4
11:00 a.m.–noon Lecture and Commentary 5
Noon–12:15 p.m. Break
12:15–1:45 p.m. Poster presentations L–Z
1:45–2:00 p.m. Break
2:00–3:00 p.m. Lecture and Commentary 6
Wednesday, June 9
Time Session
10:00–11:00 a.m. Lecture and Commentary 7
11:00 a.m.–noon Lecture and Commentary 8
Noon–12:15 p.m. Break
12:15–1:45 p.m. Breakout sessions – A
1:45–2:00 p.m. Break
2:00–3:00 p.m. Lecture and Commentary 9
Thursday, June 10
Time Session
10:00–11:00 a.m. Lecture and Commentary 10
11:00 a.m.–noon Lecture and Commentary 11
Noon–12:15 p.m. Break
12:15–1:45 p.m. Breakout sessions – B
1:45–2:00 p.m. Break
2:00–3:00 p.m. Lecture and Commentary 12

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