LSST AGN Research Overview
Explore various research tasks in the LSST AGN field, including precursor observations, synergies with other facilities, targeted simulations, R&D of techniques/algorithms, photo-z development for AGNs, and software/database services. Tasks involve data analysis, algorithm development, multi-wavelength observations, and coordination with other surveys for enhanced scientific outcomes.
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LSST AGN TODO Items Gordon Richards (Drexel University)
Precursor Observations Lots of photometric quasar/AGN catalogs out there (2 more coming) with ~4x the number of objects as SDSS has spectroscopically confirmed. Might be good to sparsely target some of these as a function of L, z, color, etc. for guidance for classification from LSST photometry O/IR Spectroscopy in DDFs to enable early science (e.g. photometric RM) Pre-plan for future follow-up observations (TDEs, high-z, etc.)
Synergies with Other Facilities Going the other way make sure to announce our schedule for the benefit of other facilities Build multi-wavelength databases for catalog matching DES/Pan-STARRS WISE VLA Develop SED band-merging algorithms Build databases of existing spectroscopic data
LSST-targeted Simulations Overcome disconnect between DM and science groups More complete simulations (including u-band) over a wider area Simulation checking Colors Variability Astrometry (DCR & PM) Morphology Star-galaxy separation
R&D of Techniques or Algorithms Photo-z Algorithm Development Create/test new algorithms that work across the full luminosity range sampled AGN Selection Develop new algorithms (e.g. color+var) Test on sims Test on DES and Pan-STARRS data
Photo-zs for AGNs At high luminosity, empirical methods work best (using the emissions line features). At low luminosity, template fitting works best (using the 4000A break) Need to figure out how to decide which to use and/or how to transition between them. Assef et al. 2010
Multi-parameter Selection colors variability astrometry
Software Development Clustering/LF development Create algorithms appropriate to data volume/type/format Write papers based on simulations that show what errors will be
Database and Data Services Liaise with other working groups (e.g., identify objects with high probability classes from other groups) Photo-z as PDFs
Other Stripe 82 Work Anything that can be done with the sims Deep Drilling Fields How to use as truth tables Variability Characterization A/gamma vs. DRW Finding vs. physics (observed vs. rest) How/if to combine ugriz?
