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#Youtube video gravit designer alexander tutorials code

Alex Malz - Are we there yet? How to read the statistical signposts.Emille Ishida - Can machine learning solve my problem?.Chris Walter - What we talk about when we talk about neutrinos.Mike Jarvis & Joe Zuntz - Designing libraries and APIs.Fred Moolekamp - Multi-band and multi-resolution deblending: Why it is important to leverage all available information.Pierre-Francois Leget - Interpolating data using Gaussian Processes: « With great power comes great responsibility.Catherine Heymans - Combining ground and space-based imaging for cosmic shear.

#Youtube video gravit designer alexander tutorials software

Stéfan van der Walt -Collaborative software development in Python.Eli Rykoff - Why might the DESC photometric calibration requirements keep you up at night?.Renee Hlozek - Supernova cosmology with LSST and survey strategy.Keith Bechtol - Complementarity of dark energy and dark matter probes for LSST.

#Youtube video gravit designer alexander tutorials code

Debbie Bard & Francois Lanusse - Why, when and how to write parallelized code (in DESC).ĭE School IX, Berkeley, February 25, 2019.

Michael Wood-Vasey - Validation: Your Data, Your Analysis, and You.

Yao-Yuan Mao - Let there be light: What’s under the carpet in mock galaxy catalogs?.

Elisa Chisari - What are “3 x 2-point” observables for cosmology? An introduction with the Core Cosmology Library.

Mike Jarvis - Is my code good enough? Improving software through code reviewĭE School VIII, Carnegie Mellon University, July 23, 2018.

Kevin Reil - Expect the Unexpected: Lessons Learned Commissioning Astronomical Instruments.

Mike Jarvis - Testing Code, as You Code – unit tests and moreĭE School VII, SLAC National Accelerator Laboratory, February 5, 2018.

Anja von der Linden - Cosmology with Galaxy Clusters, or “Now you see me, now you don’t - Effects of selection biases”.

Michelle Lochner - A Hitchhiker’s Guide to Machine Learning – applications to supernova classification.

Phil Marshall - Cosmology with strong gravitational lensesĭE School VI, Stony Brook University, July 10, 2017.

Mike Jarvis - Null Tests: Looking for signal in all the wrong places.Rachel Mandelbaum - Weak lensing shear estimation methods and systematics.David Kirkby - Machine Learning in the LSST Era.Jeff Newman - photometric redshifts for LSST.Robert Lupton - how bright is that object?.Jo Dunkley - cross-correlations of dark energy probes.Aaron Roodman - PSF, wavefronts, opticsĭE School IV, University of Oxford, July 18, 2016.Josh Meyers - point spread function (PSF) and the atmosphere.Scott Dodelson - dark energy, weak lensingĭE School III, SLAC National Accelerator Laboratory, March 7, 2016.David Kirkby - statistics of large scale structureĭE School II, Argonne National Laboratory, October 26, 2015.DE School I, SLAC National Laboratory, February 2, 2015 Below you will find (most of) the materials used for the lessons presented at these schools – slides, activities, resources – as well as videos of the lectures on YouTube or Zoom cloud. The twelfth Dark Energy School is currently being organized by Pat Burchat, Christos Georgiou and Chris Walter and will take place on Augat the 2022 DESC Collaboration Meeting in Chicago. Eleven Dark Energy Schools have been held to date as part of LSST DESC meetings.