DE School

LSST Dark Energy School

Eight Dark Energy Schools have been held to date as part of LSST DESC meetings. Below you will find (most of) the materials used for the lessons presented at these schools -- slides, activities, resources -- as well as YouTube videos of the lectures. 

Cosmological Simulations Featured Project: Large-scale simulations for synthetic sky maps

(Authors: Katrin Heitmann, Hal Finkel, Nicholas Frontiere, Adrian Pope, Salman Habib, Steve Rangel, Eve Kovacs, Nan Li, Chris Sewell)

Cosmological Simulations: Approximate Mass Function Emulator

Authors: Katrin Heitmann, Earl Lawrence, Salman Habib, Rahul Biswas, Derek Bingham, David Higdon

Weak Lensing Featured Project: Fast Simulations and Analysis

(Author: David Kirkby)

The Weak Lensing Deblending Package provides a framework to produce fast simulations and analysis for weak gravitational lensing. 

PhoSim Featured Project: LSST Photon Simulator

(Author: John Peterson)

Cosmological Simulations Featured Project: Power spectra via perturbation theory

(Authors: Amol Upadhye, Rahul Biswas, Adrian Pope, Katrin Heitmann, Salman Habib, Hal Finkel, Nicholas Frontiere)

Cosmological Simulations Featured Project: Power Spectrum Emulator

(Authors:  Juliana Kwan, Katrin Heitmann, Salman Habib, Nikhil Padmanabhan, Adrian Pope, Nicholas Frontiere, Hal Finkel)

Computing Featured Project: Simulations Recipe Book

The LSST project is developing a set of sophisticated simulation tools that allow the user to produce realistic LSST images. These tools include CatSim, simulating the LSST sky, and PhoSimwhich draws phtons from the simulated sky through the atmosphere, LSST telescope and CCD electronics. The simulations recipe book is a user-generated set of worked examples for these tools in the form of usable code. The recipes are python scripts that generate (and even analyse) simulations for a specific task. The utensils are shorter 'helper' scripts which perform specific, commonly-used functions.

Photometric Redshifts Featured Project: Calibration White Paper

(Authors: Jeff Newman,  A. Abate, F. Abdalla, S. Allam, S. Allen, R. Ansari, S. Bailey, W. Barkhouse, T. Beers, M. Blanton, M. Brodwin, J. Brownstein, R. Brunner, M. Carrasco-Kind, J. Cervantes-Cota, E. Chisari, M. Colless, J. Comparat, J. Coupon, E. Cheu, C. Cunha,A. de la Macorra, I. Dell'Antonio, B. Frye, E. Gawiser, N. Gehrels, K. Grady, A. Hagen, P. Hall, A. Hearin, H. Hildebrandt, C. Hirata, S. Ho, K. Honscheid, D. Huterer, Z. Ivezic, J.-P. Kneib, J. Kruk, O. Lahav, R. Mandelbaum, J. Marshall, D. Matthews, B. Ménard, R. Miquel, M. Moniez, W. Moos, J. Moustakas, C. Papovich, J.

SuperNovae Featured Project: Cadence Generator

(Author: David Cinabro)


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