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SUMMARY:LINCC Frameworks - developing software for large-scale analysis of
  data - Neven Caplar (University of Washington)
DTSTART:20231003T103000Z
DTEND:20231003T110000Z
UID:TALK206035@talks.cam.ac.uk
CONTACT:Sandro Tacchella
DESCRIPTION:LINCC (LSST Interdisciplinary Network for Collaboration and Co
 mputing) is an ambitious effort to support the science community by develo
 ping cloud-based analysis frameworks for LSST science. The goal is to enab
 le the delivery of critical computational infrastructure and code for peta
 byte-scale analyses\, mechanisms to search for one-in-a-million events in 
 continuous streams of data\, and community organizations and communication
  channels that enable researchers to develop and share their algorithms an
 d software. We are particularly interested in supporting early science and
  commissioning efforts. The team develops software packages in different a
 reas of interest to LSST\; such as RAIL\, a package for photo-z estimation
 \, and KMBOD\, a package for detecting slowly moving asteroids. I will als
 o discuss our effort with LSDB and TAPE packages that focus on cross-match
 ing and time-domain analysis. We are currently developing capabilities to:
  i) efficiently retrieve and cross-match large catalogs ii) facilitate eas
 y color-correction and recalibration on time-domain data from different su
 rveys to enable analysis on long lightcurves ii) provide custom functions 
 that can be efficiently executed on large amounts of data (such as structu
 re function and periodogram calculations) iii) enable large-scale calculat
 ion with custom\, user-provided functions\, e.g.\, continuous auto-regress
 ive moving average models implemented in JAX. LINCC is already supporting 
 the community through an incubator program and a series of technical talks
 . I will present these efforts and show our current status\, results\, and
  code\; and illustrate how we can collaborate and be helpful for your rese
 arch!
LOCATION:Ryle seminar room + online
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