Improving the LSST dithering pattern and cadence for dark energy studies

  title={Improving the LSST dithering pattern and cadence for dark energy studies},
  author={Christopher M. Carroll and Eric Gawiser and Peter Kurczynski and Rachel A. Bailey and Rahul Biswas and David Anthony Cinabro and Saurabh W. Jha and R. Lynne Jones and K. Simon Krughoff and Aneesa Sonawalla and W. Michael Wood-Vasey},
  booktitle={Astronomical Telescopes and Instrumentation},
The Large Synoptic Survey Telescope (LSST) will explore the entire southern sky over 10 years starting in 2022 with unprecedented depth and time sampling in six filters, ugrizy. Artificial power on the scale of the 3.5 deg LSST field-of-view will contaminate measurements of baryonic acoustic oscillations (BAO), which fall at the same angular scale at redshift z ~ 1. Using the HEALPix framework, we demonstrate the impact of an “un- dithered” survey, in which 17% of each LSST field-of-view is… 
Testing LSST Dither Strategies for Survey Uniformity and Large-Scale Structure Systematics
The Large Synoptic Survey Telescope (LSST) will survey the southern sky from 2022--2032 with unprecedented detail. Since the observing strategy can lead to artifacts in the data, we investigate the
Optimizing LSST observing strategy for weak lensing systematics
The LSST survey will provide unprecedented statistical power for measurements of dark energy. Consequently, controlling systematic uncertainties is becoming more important than ever. The LSST
Optimization of the Observing Cadence for the Rubin Observatory Legacy Survey of Space and Time: A Pioneering Process of Community-focused Experimental Design
Vera C. Rubin Observatory is a ground-based astronomical facility under construction, a joint project of the National Science Foundation and the U.S. Department of Energy, designed to conduct a
Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data
Spatially varying depth and the characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy survey analyses,
SNIa detection in the SNLS photometric analysis using Morphological Component Analysis
A subtracted image stack treatment is developed to reduce the number of non SN-like events using morphological component analysis and set up a new detection strategy to obtain coordinates with good resolution for the extracted signal.
Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)
Although PLAsTiCC has finished, the publicly available models and simulation tools are being used within the astronomy community to further improve classification, and to study contamination in photometrically identified samples of type Ia supernova used to measure properties of dark energy.
Reengineering observatory operations for the time domain
The astronomical community is entering an era of rapid change increasingly characterized by large time domain surveys, robotic telescopes and automated infrastructures, and – most significantly – of operating modes and scientific consortia that span the authors' individual facilities, joining them into complex network entities.
Optimizing the LSST Observing Strategy for Dark Energy Science : DESC Recommendations for the Wide-Fast-Deep Survey
Author(s): Lochner, Michelle; Scolnic, Daniel M; Awan, Humna; Regnault, Nicolas; Gris, Philippe; Mandelbaum, Rachel; Gawiser, Eric; Almoubayyed, Husni; Setzer, Christian N; Huber, Simon; Graham,
The LSST metrics analysis framework (MAF)
The Metrics Analysis Framework is described, an open-source python framework developed to provide a user-friendly, customizable, easily-extensible set of tools for analyzing data sets, and an example of using MAF to evaluate different dithering strategies.
  • 2014


LSST: From Science Drivers to Reference Design and Anticipated Data Products
The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the solar system, exploring the transient optical sky, and mapping the Milky Way.
LSST Science Book, Version 2.0
A survey that can cover the sky in optical bands over wide fields to faint magnitudes with a fast cadence will enable many of the exciting science opportunities of the next decade. The Large Synoptic
Toward Precision LSST Weak-Lensing Measurement. I. Impacts of Atmospheric Turbulence and Optical Aberration
The weak-lensing science of the Large Synoptic Survey Telescope (LSST) project drives the need to carefully model and separate the instrumental artifacts from the intrinsic shear signal caused by
The Multiwavelength Survey by Yale-Chile (MUSYC): Survey Design and Deep Public UBVRIz' Images and Catalogs of the Extended Hubble Deep Field-South*
We present UBVRIz' optical images taken with MOSAIC on the CTIO 4 m telescope of the 0.32 deg2 Extended Hubble Deep Field-South. This is one of four fields comprising the MUSYC survey, which is
Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant
We present spectral and photometric observations of 10 Type Ia supernovae (SNe Ia) in the redshift range 0.16 " z " 0.62. The luminosity distances of these objects are determined by methods that
Type-Ia Supernova Rates to Redshift 2.4 from Clash: The Cluster Lensing and Supernova Survey with Hubble
We present the supernova (SN) sample and Type-Ia SN (SN Ia) rates from the Cluster Lensing And Supernova survey with Hubble (CLASH). Using the Advanced Camera for Surveys and the Wide Field Camera 3
Tomographic Magnification of Lyman Break Galaxies in The Deep Lens Survey
Using about 450 000 galaxies in the Deep Lens Survey, we present a detection of the gravitational magnification of z > 4 Lyman-break galaxies by massive foreground galaxies with 0.4 7.5σ with a fixed
HEALPix: A Framework for High-Resolution Discretization and Fast Analysis of Data Distributed on the Sphere
This paper considers the requirements and implementation constraints on a framework that simultaneously enables an efficient discretization with associated hierarchical indexation and fast analysis/synthesis of functions defined on the sphere and demonstrates how these are explicitly satisfied by HEALPix.
SNANA: A public software package for supernova analysis
A general analysis package for supernova (SN) light curves, called SNANA, that contains a simulation, a light-curve fitter, and a cosmology fitter that is designed to undergo continual improvements from the community as more is learned about SNe.