An end-to-end simulation framework for the Large Synoptic Survey Telescope Andrew Connolly University of Washington

Size: px
Start display at page:

Download "An end-to-end simulation framework for the Large Synoptic Survey Telescope Andrew Connolly University of Washington"

Transcription

1 An end-to-end simulation framework for the Large Synoptic Survey Telescope Andrew Connolly University of Washington

2 LSST in a nutshell The LSST will be a large, wide-field, ground-based optical/near-ir survey of half the sky in ugrizy bands to r~27.5 based on 1000 visits over a 10-year period Alerts of detected changes on the night sky will be published within 60 sec of the observation as the survey progresses LSST will enable a wide variety of complementary scientific investigations: from searches for small bodies in the solar system, to precision astrometry of the Galaxy, to systematic measures of cosmology using gravitational weak lensing. Much of the science of the LSST will be systematics limited

3 LSST footprint (825 visits per field) 90% of survey is 18,000 sq degree main survey 10% of survey is NES, SCP, Galactic plane, deep drilling fields, others How do we optimize the fields, the observations, and the temporal sampling?

4 LSST science and engineering simulation tools Python simulation framework Python provides a (somewhat) simplified interface to the simulation catalogs Databases contain the astrophysical sky (>10TB of data) Agnostic to where the cosmological data reside Tools to convert simulated data to observations Not all science applications require the same level of fidelity (e.g. derived catalogs can be used in place of images) Measurements must come with estimates of the uncertainties All software is version controlled and open source

5 The LSST universe model (CatSim) Source counts are based on Millennium simulations of the universe matched to observed densities and color of sources (to reproduce observed number counts, size, and redshifts. We can model the systematics due to the optical design, sensor model, etc to deliver SNR and errors in the mock catalogs

6 Cosmology embedded astrophysical background Galactic structure model (with dust) Main sequence, giants, dwarfs, cepheids, micro-lensing Proper motion, parallax Juric et al (2008) Solar system model 10 million main belt KBO, TNO, Trojans. Grav et al (2007)

7 Survey performance tools (OpSim) Lynne Jones 2015 Constraints on observations: properties of the site (e.g. sky background, visibility) system performance (settle time, read out time) science requirements

8 Metrics Analysis Framework (MAF) A SN goes off every 5 days in each ~3 sq degree region. How many are well observed? max possible ~600, we get in the wide area Dropping the requirement for 2 visits per night gives a 15% increase in Sne equivalent to 1 year of operations

9 Following the photon flow to generate images John Peterson John Peterson 2010

10 ImSim Description 10

11 3.2 Gigapixels 9.6 sq. degrees 20 million sources photons 12.8 Gbytes 1000 CPU hours

12 An end-to-end simulation framework

13 DESC Simulation needs

14 Cosmology simulations: strong lensing Simulated lensed quasar systems sprinkled into catalogs at positions of AGN-host galaxies Host galaxies removed, and lens galaxies inserted, followed by multiple images of the original source Damped random walk variability

15 Cosmology simulations: supernova Supernova simulations Being well observed requires good temporal sampling in multiple bands to recover the light curve

16

17 Conclusions Open source simulation framework for reproducing LSST observations (cosmology embedded in astrophysical backgrounds) Ability to embed other cosmological models and databases within the framework We d like SEDs for each source and realistic images (an SED per pixel) Simulated source catalogs through to images Current work is on scalability and simplification of interfaces

18

19 0.2 Following the photon flow to generate images Op2cal Model +Tracking +Diffrac2on +Det Perturba2ons +Lens Perturba2ons +Mirror Perturba2ons +Detector +Dome Seeing +Low Al2tude +Mid Al2tude +High Al2tude +Pixeliza2on Atmosphere Atmosphere Atmosphere Peterson et al 2015 John Peterson 2010

20 Cosmology simulations: supernova Supernova simulations Being well observed requires good temporal sampling in multiple bands to recover the light curve Deep Drilling Fields WFD Fields

21 Conservation laws on the LSST m 5 = log(t vis /30sec) t revisit = 3 days (t vis /30sec) N vis =1000 (30 sec/t vis )(T /10years)! Lower limit: surveying efficiency must be high (readout time, slew time) depth per visit must be deep (SNe, RR Lyrae, NEOs) Upper limit: the mean revisit time cannot be too long (SNe, NEOs) the number of visits must be large enough (systematics) trailing losses for moving objects must be small

22 Astrometric accuracy: complement to Gaia Ivezić, Beers, Jurić 2012, ARA&A, 50, 251 Gaia: excellent astrometry (and photometry), but only to r<20 LSST: photometry to r<27.5 and time resolved measurements to r<24.5 (10 mas) σ π (t) = 3.0 mas * (t / 10 yr) -1/2 σ μ (t) = 1.0 mas/yr * (t / 10 yr) -3/2 Photometric, proper motion and trigonometric parallax errors are similar around r=20

23 Photometric accuracy of LSST Fiducial Red Sequence Galaxy redshift i<25 Fiducial Lyman-Break Galaxy 1% photometry (0.5% repeatability) Deep fields AB~28 th mag About 10 billion galaxies, with 4 billion in a gold sample (i<25.3) The gold sample extends to redshifts of >2.5: evolution

24 LSST data volume and scientific yields Two 6.4-gigabyte images (one visit) every 39 seconds (15TB per night) ~1000 visits each night, ~300 nights a year Up to 450 calibration exposures per day Raw Data Can detect >10 million real time events per night, for 10 years Changes detected, transmitted, within 60 seconds of the observation Observe ~38 billion objects (24B galaxies, 14B stars) Collect ~5 trillion observations ( sources ) and ~32 trillion measurements ( forced sources ) in a 20 PB catalog User databases and workspaces ( mydb ) Making the LSST software available to end-users Feeding the data back to the community Level 1 Level 2 Level 3

LSST Science. Željko Ivezić, LSST Project Scientist University of Washington

LSST Science. Željko Ivezić, LSST Project Scientist University of Washington LSST Science Željko Ivezić, LSST Project Scientist University of Washington LSST@Europe, Cambridge, UK, Sep 9-12, 2013 OUTLINE Brief overview of LSST science drivers LSST science-driven design Examples

More information

The Large Synoptic Survey Telescope

The Large Synoptic Survey Telescope The Large Synoptic Survey Telescope Philip A. Pinto Steward Observatory University of Arizona for the LSST Collaboration 17 May, 2006 NRAO, Socorro Large Synoptic Survey Telescope The need for a facility

More information

Large Synoptic Survey Telescope

Large Synoptic Survey Telescope Large Synoptic Survey Telescope Željko Ivezić University of Washington Santa Barbara, March 14, 2006 1 Outline 1. LSST baseline design Monolithic 8.4 m aperture, 10 deg 2 FOV, 3.2 Gpix camera 2. LSST science

More information

What shall we learn about the Milky Way using Gaia and LSST?

What shall we learn about the Milky Way using Gaia and LSST? What shall we learn about the Milky Way using Gaia and LSST? Astr 511: Galactic Astronomy! Winter Quarter 2015! University of Washington, Željko Ivezić!! The era of surveys... Standard: What data do I

More information

JINA Observations, Now and in the Near Future

JINA Observations, Now and in the Near Future JINA Observations, Now and in the Near Future Timothy C. Beers Department of Physics & Astronomy Michigan State University & JINA: Joint Institute for Nuclear Astrophysics Examples SDSS-I, II, and III

More information

LSST. Pierre Antilogus LPNHE-IN2P3, Paris. ESO in the 2020s January 19-22, LSST ESO in the 2020 s 1

LSST. Pierre Antilogus LPNHE-IN2P3, Paris. ESO in the 2020s January 19-22, LSST ESO in the 2020 s 1 LSST Pierre Antilogus LPNHE-IN2P3, Paris ESO in the 2020s January 19-22, 2015 LSST ESO in the 2020 s 1 LSST in a Nutshell The LSST is an integrated survey system designed to conduct a decadelong, deep,

More information

Parametrization and Classification of 20 Billion LSST Objects: Lessons from SDSS

Parametrization and Classification of 20 Billion LSST Objects: Lessons from SDSS SLAC-PUB-14716 Parametrization and Classification of 20 Billion LSST Objects: Lessons from SDSS Ž. Ivezić, T. Axelrod, A.C. Becker, J. Becla, K. Borne, D.L. Burke, C.F. Claver, K.H. Cook, A. Connolly,

More information

Scientific Data Flood. Large Science Project. Pipeline

Scientific Data Flood. Large Science Project. Pipeline The Scientific Data Flood Scientific Data Flood Large Science Project Pipeline 1 1 The Dark Energy Survey Study Dark Energy using four complementary* techniques: I. Cluster Counts II. Weak Lensing III.

More information

Science Results Enabled by SDSS Astrometric Observations

Science Results Enabled by SDSS Astrometric Observations Science Results Enabled by SDSS Astrometric Observations Željko Ivezić 1, Mario Jurić 2, Nick Bond 2, Jeff Munn 3, Robert Lupton 2, et al. 1 University of Washington 2 Princeton University 3 USNO Flagstaff

More information

Synergies between and E-ELT

Synergies between and E-ELT Synergies between and E-ELT Aprajita Verma & Isobel Hook 1) E- ELT Summary 2) E- ELT Project Status 3) Parameter space 4) Examples of scientific synergies The World s Biggest Eye on the Sky 39.3m diameter,

More information

A Random Walk Through Astrometry

A Random Walk Through Astrometry A Random Walk Through Astrometry Astrometry: The Second Oldest Profession George H. Kaplan Astronomical Applications Department Astrometry Department U.S. Naval Observatory Random Topics to be Covered

More information

Real Astronomy from Virtual Observatories

Real Astronomy from Virtual Observatories THE US NATIONAL VIRTUAL OBSERVATORY Real Astronomy from Virtual Observatories Robert Hanisch Space Telescope Science Institute US National Virtual Observatory About this presentation What is a Virtual

More information

Astronomy of the Next Decade: From Photons to Petabytes. R. Chris Smith AURA Observatory in Chile CTIO/Gemini/SOAR/LSST

Astronomy of the Next Decade: From Photons to Petabytes. R. Chris Smith AURA Observatory in Chile CTIO/Gemini/SOAR/LSST Astronomy of the Next Decade: From Photons to Petabytes R. Chris Smith AURA Observatory in Chile CTIO/Gemini/SOAR/LSST Classical Astronomy still dominates new facilities Even new large facilities (VLT,

More information

(Present and) Future Surveys for Metal-Poor Stars

(Present and) Future Surveys for Metal-Poor Stars (Present and) Future Surveys for Metal-Poor Stars Timothy C. Beers Department of Physics & Astronomy Michigan State University & JINA: Joint Institute for Nuclear Astrophysics SDSS 1 Why the Fascination

More information

TMT and Space-Based Survey Missions

TMT and Space-Based Survey Missions TMT and Space-Based Survey Missions Daniel Stern Jet Propulsion Laboratory/ California Institute of Technology 2014 California Institute of Technology TMT Science Forum 2014 July 17 Outline Summary of

More information

The Gaia Mission. Coryn Bailer-Jones Max Planck Institute for Astronomy Heidelberg, Germany. ISYA 2016, Tehran

The Gaia Mission. Coryn Bailer-Jones Max Planck Institute for Astronomy Heidelberg, Germany. ISYA 2016, Tehran The Gaia Mission Coryn Bailer-Jones Max Planck Institute for Astronomy Heidelberg, Germany ISYA 2016, Tehran What Gaia should ultimately achieve high accuracy positions, parallaxes, proper motions e.g.

More information

arxiv: v1 [astro-ph.im] 10 Nov 2015

arxiv: v1 [astro-ph.im] 10 Nov 2015 Asteroids: New Observations, New Models Proceedings IAU Symposium No. 318, 2015 S. Chesley, A. Morbidelli, R. Jedicke & D. Farnocchia eds. c 2015 International Astronomical Union DOI: 0000/X000000000000000X

More information

Galaxies. The majority of known galaxies fall into one of three major classes: spirals (78 %), ellipticals (18 %) and irregulars (4 %).

Galaxies. The majority of known galaxies fall into one of three major classes: spirals (78 %), ellipticals (18 %) and irregulars (4 %). Galaxies Collection of stars, gas and dust bound together by their common gravitational pull. Galaxies range from 10,000 to 200,000 light-years in size. 1781 Charles Messier 1923 Edwin Hubble The distribution

More information

LSST, Euclid, and WFIRST

LSST, Euclid, and WFIRST LSST, Euclid, and WFIRST Steven M. Kahn Kavli Institute for Particle Astrophysics and Cosmology SLAC National Accelerator Laboratory Stanford University SMK Perspective I believe I bring three potentially

More information

Cosmic acceleration. Questions: What is causing cosmic acceleration? Vacuum energy (Λ) or something else? Dark Energy (DE) or Modification of GR (MG)?

Cosmic acceleration. Questions: What is causing cosmic acceleration? Vacuum energy (Λ) or something else? Dark Energy (DE) or Modification of GR (MG)? Cosmic acceleration 1998 Discovery 2000-2010: confirmation (CMB, LSS, SNe) more precise constraints w = -1 ± 0.2 (with assumptions) Questions: What is causing cosmic acceleration? Vacuum energy (Λ) or

More information

SDSS Data Management and Photometric Quality Assessment

SDSS Data Management and Photometric Quality Assessment SDSS Data Management and Photometric Quality Assessment Željko Ivezić Princeton University / University of Washington (and SDSS Collaboration) Thinkshop Robotic Astronomy, Potsdam, July 12-15, 2004 1 Outline

More information

Gaia. Stereoscopic Census of our Galaxy. one billion pixels for one billion stars

Gaia. Stereoscopic Census of our Galaxy. one billion pixels for one billion stars Gaia Stereoscopic Census of our Galaxy http://www.cosmos.esa.int/web/gaia http://gaia.ac.uk one billion pixels for one billion stars one percent of the visible Milky Way Gerry Gilmore FRS, UK Gaia PI,

More information

The cosmic distance scale

The cosmic distance scale The cosmic distance scale Distance information is often crucial to understand the physics of astrophysical objects. This requires knowing the basic properties of such an object, like its size, its environment,

More information

The Science Cases for CSTAR, AST3, and KDUST

The Science Cases for CSTAR, AST3, and KDUST The Science Cases for CSTAR, AST3, and KDUST Lifan Wang CCAA & TAMU CSTAR A pathfinder telescope Sky background and transmission - See Zhou Xu s talk Time domain astronomy - Variable stars A wide area

More information

Local Volume, Milky Way, Stars, Planets, Solar System: L3 Requirements

Local Volume, Milky Way, Stars, Planets, Solar System: L3 Requirements Local Volume, Milky Way, Stars, Planets, Solar System: L3 Requirements Anthony Brown Sterrewacht Leiden brown@strw.leidenuniv.nl Sterrewacht Leiden LSST@Europe2 2016.06.21-1/8 LSST data product levels

More information

(Slides for Tue start here.)

(Slides for Tue start here.) (Slides for Tue start here.) Science with Large Samples 3:30-5:00, Tue Feb 20 Chairs: Knut Olsen & Melissa Graham Please sit roughly by science interest. Form small groups of 6-8. Assign a scribe. Multiple/blended

More information

Projected Near-Earth Object Discovery Performance of the Large Synoptic Survey Telescope

Projected Near-Earth Object Discovery Performance of the Large Synoptic Survey Telescope JPL Publication 16-11 Projected Near-Earth Object Discovery Performance of the Large Synoptic Survey Telescope Center for Near-Earth Object Studies Steven R. Chesley and Peter Vereš National Aeronautics

More information

Examining Dark Energy With Dark Matter Lenses: The Large Synoptic Survey Telescope. Andrew R. Zentner University of Pittsburgh

Examining Dark Energy With Dark Matter Lenses: The Large Synoptic Survey Telescope. Andrew R. Zentner University of Pittsburgh Examining Dark Energy With Dark Matter Lenses: The Large Synoptic Survey Telescope Andrew R. Zentner University of Pittsburgh 1 Overview The contents of the Universe The accelerating Universe and Dark

More information

Image Processing in Astronomy: Current Practice & Challenges Going Forward

Image Processing in Astronomy: Current Practice & Challenges Going Forward Image Processing in Astronomy: Current Practice & Challenges Going Forward Mario Juric University of Washington With thanks to Andy Connolly, Robert Lupton, Ian Sullivan, David Reiss, and the LSST DM Team

More information

Astroinformatics: massive data research in Astronomy Kirk Borne Dept of Computational & Data Sciences George Mason University

Astroinformatics: massive data research in Astronomy Kirk Borne Dept of Computational & Data Sciences George Mason University Astroinformatics: massive data research in Astronomy Kirk Borne Dept of Computational & Data Sciences George Mason University kborne@gmu.edu, http://classweb.gmu.edu/kborne/ Ever since humans first gazed

More information

The Dark Energy Survey Public Data Release 1

The Dark Energy Survey Public Data Release 1 The Dark Energy Survey Public Data Release 1 Matias Carrasco Kind (NCSA/UIUC) and the DR1 Release Team https://des.ncsa.illinois.edu/ Near-Field Cosmology with DES DR1 and Beyond Workshop, June 27-29th,

More information

Introduction to SDSS -instruments, survey strategy, etc

Introduction to SDSS -instruments, survey strategy, etc Introduction to SDSS -instruments, survey strategy, etc (materials from http://www.sdss.org/) Shan Huang 17 February 2010 Survey type Status Imaging and Spectroscopy Basic Facts SDSS-II completed, SDSS-III

More information

The Next 2-3 Weeks. Important to read through Chapter 17 (Relativity) before I start lecturing on it.

The Next 2-3 Weeks. Important to read through Chapter 17 (Relativity) before I start lecturing on it. The Next 2-3 Weeks [27.1] The Extragalactic Distance Scale. [27.2] The Expansion of the Universe. [29.1] Newtonian Cosmology [29.2] The Cosmic Microwave Background [17] General Relativity & Black Holes

More information

Astronomical image reduction using the Tractor

Astronomical image reduction using the Tractor the Tractor DECaLS Fin Astronomical image reduction using the Tractor Dustin Lang McWilliams Postdoc Fellow Carnegie Mellon University visiting University of Waterloo UW / 2015-03-31 1 Astronomical image

More information

Precision cosmology with Type Ia Supernovae?

Precision cosmology with Type Ia Supernovae? Precision cosmology with Type Ia Supernovae? Reynald Pain LPNHE, CNRS/IN2P3 & Universités Paris 6 and Paris 7 Outline I will used the SNLS 1st year data and analysis to try answer the following questions

More information

Lecture 11: SDSS Sources at Other Wavelengths: From X rays to radio. Astr 598: Astronomy with SDSS

Lecture 11: SDSS Sources at Other Wavelengths: From X rays to radio. Astr 598: Astronomy with SDSS Astr 598: Astronomy with SDSS Spring Quarter 4, University of Washington, Željko Ivezić Lecture : SDSS Sources at Other Wavelengths: From X rays to radio Large Surveys at Many Wavelengths SDSS: UV-IR five-band

More information

The Era of Synoptic Surveys. Peter Nugent (LBNL)

The Era of Synoptic Surveys. Peter Nugent (LBNL) The Era of Synoptic Surveys Peter Nugent (LBNL) Current Optical Surveys Photometric: Palomar Transient Factory La Silla Supernova Search SkyMapper PanSTARRS Spectroscopic: SDSS III All of these surveys

More information

Photometric Products. Robert Lupton, Princeton University LSST Pipeline/Calibration Scientist PST/SAC PST/SAC,

Photometric Products. Robert Lupton, Princeton University LSST Pipeline/Calibration Scientist PST/SAC PST/SAC, Photometric Products Robert Lupton, Princeton University LSST Pipeline/Calibration Scientist PST/SAC 2018-02-27 PST/SAC, 2018-02-27 LSST2017 Tucson, AZ August 14-18, 2017 1 Outline Photometry Point Sources

More information

ASTR 1040: Stars & Galaxies

ASTR 1040: Stars & Galaxies ASTR 1040: Stars & Galaxies Our wide world (universe) of Galaxies Expanding universe: Hubble s discovery #2 Challenge of measuring s in universe review methods used Subtle concept of Lookback time Active

More information

Potential Synergies Between MSE and the ELTs A Purely TMT-centric perspective But generally applicable to ALL ELTs

Potential Synergies Between MSE and the ELTs A Purely TMT-centric perspective But generally applicable to ALL ELTs Potential Synergies Between MSE and the ELTs A Purely TMT-centric perspective But generally applicable to ALL ELTs Warren Skidmore, TMT Instrument System Scientist 2 nd May, 2018 IPAC Science Talk 1 TMT

More information

Astr As ome tr tr ome y I M. Shao

Astr As ome tr tr ome y I M. Shao Astrometry I M. Shao Outline Relative astrometry vs Global Astrometry What s the science objective? What s possible, what are fundamental limits? Instrument Description Error/noise sources Photon noise

More information

Astr 323: Extragalactic Astronomy and Cosmology. Spring Quarter 2014, University of Washington, Željko Ivezić. Lecture 1:

Astr 323: Extragalactic Astronomy and Cosmology. Spring Quarter 2014, University of Washington, Željko Ivezić. Lecture 1: Astr 323: Extragalactic Astronomy and Cosmology Spring Quarter 2014, University of Washington, Željko Ivezić Lecture 1: Review of Stellar Astrophysics 1 Understanding Galaxy Properties and Cosmology The

More information

SkyMapper and the Southern Sky Survey

SkyMapper and the Southern Sky Survey and the Southern Sky Survey, Brian Schmidt and Mike Bessell Slide 1 What is? 1.35m telescope with a 5.7 sq. degree field of view To reside at Siding Spring Observatory, NSW To conduct the Southern Sky

More information

SkyMapper and the Southern Sky Survey

SkyMapper and the Southern Sky Survey SkyMapper and the Southern Sky Survey Stefan Keller Mt. Stromlo Observatory Brian Schmidt, Mike Bessell and Patrick Tisserand SkyMapper 1.35m telescope with a 5.7 sq. degree field of view located at Siding

More information

Optical variability of quasars: damped random walk Željko Ivezić, University of Washington with Chelsea MacLeod, U.S.

Optical variability of quasars: damped random walk Željko Ivezić, University of Washington with Chelsea MacLeod, U.S. Optical variability of quasars: damped random walk Željko Ivezić, University of Washington with Chelsea MacLeod, U.S. Naval Academy IAU Symposium 304, Yerevan, Armenia, October 7-12, 2013 OUTLINE Practically

More information

The Sloan Digital Sky Survey

The Sloan Digital Sky Survey The Sloan Digital Sky Survey Robert Lupton Xiaohui Fan Jim Gunn Željko Ivezić Jill Knapp Michael Strauss University of Chicago, Fermilab, Institute for Advanced Study, Japanese Participation Group, Johns

More information

The J-PAS survey: pushing the limits of spectro-photometry

The J-PAS survey: pushing the limits of spectro-photometry The J-PAS survey: pushing the limits of spectro-photometry Silvia Bonoli For the J-PAS collaboration AYA2015-66211-C2-2P Hyper Suprime-Cam @ Subaru DESI Photometry - Unbiased samples Faster & cheaper Large

More information

Thoughts on future space astrometry missions

Thoughts on future space astrometry missions Thoughts on future space astrometry missions Anthony Brown Leiden Observatory brown@strw.leidenuniv.nl Sterrewacht Leiden With special thanks to Erik Høg Gaia Future Sub-µas astrometry Gaia2 Recommendations

More information

From the Big Bang to Big Data. Ofer Lahav (UCL)

From the Big Bang to Big Data. Ofer Lahav (UCL) From the Big Bang to Big Data Ofer Lahav (UCL) 1 Outline What is Big Data? What does it mean to computer scientists vs physicists? The Alan Turing Institute Machine learning examples from Astronomy The

More information

SMTN-002: Calculating LSST limiting magnitudes and SNR

SMTN-002: Calculating LSST limiting magnitudes and SNR SMTN-002: Calculating LSST limiting magnitudes and SNR Release Lynne Jones 2017-12-05 Contents 1 Source Counts 3 2 Instrumental Zeropoints 5 3 Sky Counts 7 4 Instrumental Noise 9 5 Source footprint (n

More information

Microlensing Studies in Crowded Fields. Craig Mackay, Institute of Astronomy, University of Cambridge.

Microlensing Studies in Crowded Fields. Craig Mackay, Institute of Astronomy, University of Cambridge. Microlensing Studies in Crowded Fields Craig Mackay, Institute of Astronomy, University of Cambridge. Introduction and Outline Will start by summarising the constraints we must work with in order to detect

More information

Surprise Detection in Multivariate Astronomical Data Kirk Borne George Mason University

Surprise Detection in Multivariate Astronomical Data Kirk Borne George Mason University Surprise Detection in Multivariate Astronomical Data Kirk Borne George Mason University kborne@gmu.edu, http://classweb.gmu.edu/kborne/ Outline What is Surprise Detection? Example Application: The LSST

More information

Deep Drilling Program. Lynne Jones LSST Performance Scien2st. LSST All Hands Mee6ng August 13-17, 2012

Deep Drilling Program. Lynne Jones LSST Performance Scien2st. LSST All Hands Mee6ng August 13-17, 2012 Deep Drilling Program Lynne Jones LSST Performance Scien2st LSST All Hands Mee6ng August 13-17, 2012 Overview Topics to cover Super- quick review of DD request OpSim runs produced in response to request

More information

CFHT Large Area U-Band Deep Survey

CFHT Large Area U-Band Deep Survey CLAUDS + HSC SSP CFHT Large Area U-Band Deep Survey 20 deg 2 of u=27ab CFHT imaging in the HSC Deep Layer Marcin Sawicki on behalf of the CLAUDS team 1 HSC Strategic Survey Program 2 The power of U photo-z

More information

Halo Tidal Star Streams with DECAM. Brian Yanny Fermilab. DECam Community Workshop NOAO Tucson Aug

Halo Tidal Star Streams with DECAM. Brian Yanny Fermilab. DECam Community Workshop NOAO Tucson Aug Halo Tidal Star Streams with DECAM Brian Yanny Fermilab DECam Community Workshop NOAO Tucson Aug 19 2011 M31 (Andromeda) Our Local Group neighbors: Spiral galaxies similar to The Milky Way 150 kpc M33

More information

Igor Soszyński. Warsaw University Astronomical Observatory

Igor Soszyński. Warsaw University Astronomical Observatory Igor Soszyński Warsaw University Astronomical Observatory SATELLITE vs. GROUND-BASED ASTEROSEISMOLOGY SATELLITE: Outstanding precision! High duty cycle (no aliases) HST MOST Kepler CoRoT Gaia IAU GA 2015,

More information

GALEX GR1 Instrument Performance and Calibration Review

GALEX GR1 Instrument Performance and Calibration Review GALEX GR1 Instrument Performance and Calibration Review Patrick Morrissey Caltech Operations Overview GALEX is operating quite smoothly in 2004. Active space weather has mostly dissipated. FUV is shut

More information

Cosmology with the ESA Euclid Mission

Cosmology with the ESA Euclid Mission Cosmology with the ESA Euclid Mission Andrea Cimatti Università di Bologna Dipartimento di Astronomia On behalf of the Euclid Italy Team ESA Cosmic Vision 2015-2025 M-class Mission Candidate Selected in

More information

Supernovae Observations of the Expanding Universe. Kevin Twedt PHYS798G April 17, 2007

Supernovae Observations of the Expanding Universe. Kevin Twedt PHYS798G April 17, 2007 Supernovae Observations of the Expanding Universe Kevin Twedt PHYS798G April 17, 2007 Overview How do we measure expansion? Use of supernovae 1a as a good measuring stick Techniques for observing supernovae

More information

Detection of Polarization Effects in Gaia Data

Detection of Polarization Effects in Gaia Data Detection of Polarization Effects in Gaia Data Frederic Raison ADA7 14-18/05/2012 Introduction Gaia is an astrometry mission using 2 telescopes. The idea is to use Gaia as a polarimeter (low precision

More information

Euclid and MSE. Y. Mellier IAP and CEA/SAp.

Euclid and MSE. Y. Mellier IAP and CEA/SAp. Euclid and MSE Y. Mellier IAP and CEA/SAp www.euclid-ec.org Euclid and MSE CFHT Users Meeting, Nice 02 May, 2016 Euclid Primary Objectives: the Dark Universe Understand The origin of the Universe s accelerating

More information

2. OBSERVATIONAL COSMOLOGY

2. OBSERVATIONAL COSMOLOGY 2. OBSERVATIONAL COSMOLOGY 1. OBSERVATIONAL PARAMETERS i. Introduction History of modern observational Cosmology ii. Cosmological Parameters The search for 2 (or more) numbers Hubble Parameter Deceleration

More information

High Redshift Universe

High Redshift Universe High Redshift Universe Finding high z galaxies Lyman break galaxies (LBGs) Photometric redshifts Deep fields Starburst galaxies Extremely red objects (EROs) Sub-mm galaxies Lyman α systems Finding high

More information

ASTR2050: Introductory Astronomy and Astrophysics Syllabus for Spring 1999 January 4, 1999

ASTR2050: Introductory Astronomy and Astrophysics Syllabus for Spring 1999 January 4, 1999 ASTR2050: Introductory Astronomy and Astrophysics Syllabus for Spring 1999 January 4, 1999 This is a working document and will change periodically. It outlines the topics that will be covered during the

More information

Cosmology at a Crossroads: Tension With the Hubble Constant

Cosmology at a Crossroads: Tension With the Hubble Constant Cosmology at a Crossroads: Tension With the Hubble Constant Wendy L. Freedman We are at an interesting juncture in cosmology. With new methods and technology, the accuracy in measurement of the Hubble

More information

Searching for Needles in the Sloan Digital Haystack

Searching for Needles in the Sloan Digital Haystack Searching for Needles in the Sloan Digital Haystack Robert Lupton Željko Ivezić Jim Gunn Jill Knapp Michael Strauss University of Chicago, Fermilab, Institute for Advanced Study, Japanese Participation

More information

Énergie noire Formation des structures. N. Regnault C. Yèche

Énergie noire Formation des structures. N. Regnault C. Yèche Énergie noire Formation des structures N. Regnault C. Yèche Outline Overview of DE probes (and recent highlights) Hubble Diagram of supernovae Baryon accoustic oscillations Lensing Matter clustering (JLA)

More information

Weak Lensing (and other) Measurements from Ground and Space Observatories

Weak Lensing (and other) Measurements from Ground and Space Observatories Weak Lensing (and other) Measurements from Ground and Space Observatories Gary Bernstein CfCP Workshop 12/16/01 1. Present State of the Art: New Results from the CTIO Weak Lensing Survey. Mike Jarvis GMB,

More information

Gaia Status & Early Releases Plan

Gaia Status & Early Releases Plan Gaia Status & Early Releases Plan F. Mignard Univ. Nice Sophia-Antipolis & Observatory of the Côte de Azur Gaia launch: 20 November 2013 The big news @ 08:57:30 UTC 2 Gaia: a many-sided mission Driven

More information

The Cosmological Distance Ladder. It's not perfect, but it works!

The Cosmological Distance Ladder. It's not perfect, but it works! The Cosmological Distance Ladder It's not perfect, but it works! First, we must know how big the Earth is. Next, we must determine the scale of the solar system. Copernicus (1543) correctly determined

More information

Gaia Data Processing - Overview and Status

Gaia Data Processing - Overview and Status Gaia Data Processing - Overview and Status Anthony Brown Leiden Observatory, Leiden University brown@strw.leidenuniv.nl Teamwork to deliver the promise of Gaia 10+ years of effort 450 scientists and engineers

More information

Data Release 5. Sky coverage of imaging data in the DR5

Data Release 5. Sky coverage of imaging data in the DR5 Data Release 5 The Sloan Digital Sky Survey has released its fifth Data Release (DR5). The spatial coverage of DR5 is about 20% larger than that of DR4. The photometric data in DR5 are based on five band

More information

MIT Invitational, Jan Astronomy C. 2. You may separate the pages, but do not forget to put your team number at the top of all answer pages.

MIT Invitational, Jan Astronomy C. 2. You may separate the pages, but do not forget to put your team number at the top of all answer pages. MIT Invitational, Jan 2019 Astronomy C Competitors: School name: Team number: INSTRUCTIONS 1. Please turn in all materials at the end of the event. 2. You may separate the pages, but do not forget to put

More information

Present and Future Large Optical Transient Surveys. Supernovae Rates and Expectations

Present and Future Large Optical Transient Surveys. Supernovae Rates and Expectations Present and Future Large Optical Transient Surveys Supernovae Rates and Expectations Phil Marshall, Lars Bildsten, Mansi Kasliwal Transients Seminar Weds 12th December 2007 Many surveys designed to find

More information

The Large Synoptic Survey Telescope Project. Steven M. Kahn SLAC Summer Institute August 4, 2005

The Large Synoptic Survey Telescope Project. Steven M. Kahn SLAC Summer Institute August 4, 2005 The Large Synoptic Survey Telescope Project Steven M. Kahn SLAC Summer Institute August 4, 2005 What is the LSST? * The LSST will be a large, wide-field ground-based telescope designed to provide time-lapse

More information

2-D Images in Astronomy

2-D Images in Astronomy 2-D Images in Astronomy ZTF camera FOV is 50 square degrees. Largest camera on >1m telescope by area in the world. Or, to make a little clearer, here s Orion. The white box is the ZTF imaging area. The

More information

The shapes of faint galaxies: A window unto mass in the universe

The shapes of faint galaxies: A window unto mass in the universe Lecture 15 The shapes of faint galaxies: A window unto mass in the universe Intensity weighted second moments Optimal filtering Weak gravitational lensing Shear components Shear detection Inverse problem:

More information

Stellar distances and velocities. ASTR320 Wednesday January 24, 2018

Stellar distances and velocities. ASTR320 Wednesday January 24, 2018 Stellar distances and velocities ASTR320 Wednesday January 24, 2018 Special public talk this week: Mike Brown, Pluto Killer Wednesday at 7:30pm in MPHY204 Why are stellar distances important? Distances

More information

Modern Image Processing Techniques in Astronomical Sky Surveys

Modern Image Processing Techniques in Astronomical Sky Surveys Modern Image Processing Techniques in Astronomical Sky Surveys Items of the PhD thesis József Varga Astronomy MSc Eötvös Loránd University, Faculty of Science PhD School of Physics, Programme of Particle

More information

EUCLID Legacy with Spectroscopy

EUCLID Legacy with Spectroscopy EUCLID Legacy with Spectroscopy Gianni Zamorani INAF - Bologna Astronomical Observatory (on behalf of the E-NIS Team) Observing the Dark Universe with Euclid 17-18 November 2009 ESTEC, The Netherlands

More information

Dark Energy. Cluster counts, weak lensing & Supernovae Ia all in one survey. Survey (DES)

Dark Energy. Cluster counts, weak lensing & Supernovae Ia all in one survey. Survey (DES) Dark Energy Cluster counts, weak lensing & Supernovae Ia all in one survey Survey (DES) What is it? The DES Collaboration will build and use a wide field optical imager (DECam) to perform a wide area,

More information

Surprise Detection in Science Data Streams Kirk Borne Dept of Computational & Data Sciences George Mason University

Surprise Detection in Science Data Streams Kirk Borne Dept of Computational & Data Sciences George Mason University Surprise Detection in Science Data Streams Kirk Borne Dept of Computational & Data Sciences George Mason University kborne@gmu.edu, http://classweb.gmu.edu/kborne/ Outline Astroinformatics Example Application:

More information

Cosmic Distance Determinations

Cosmic Distance Determinations Cosmic Distance Determinations Radar (works for inner solar system) Parallax D(pc) = 1 p(arcsec) GAIA satellite (2013) 20 micro-arcsec resolution! Thus D < 10 kpc Beyond Parallax: Standard Candles Use

More information

The Evolution of Massive Galaxies at 3 < z < 7 (The Hawaii 20 deg 2 Survey H2O)

The Evolution of Massive Galaxies at 3 < z < 7 (The Hawaii 20 deg 2 Survey H2O) D. Sanders, I. Szapudi, J. Barnes, K. Chambers, C. McPartland, A. Repp (Hawaii) P. Capak, I. Davidson (Caltech), S. Toft (Copenhagen), B. Mobasher (UCRiverside) The Evolution of Massive Galaxies at 3

More information

The Milky Way Galaxy (ch. 23)

The Milky Way Galaxy (ch. 23) The Milky Way Galaxy (ch. 23) [Exceptions: We won t discuss sec. 23.7 (Galactic Center) much in class, but read it there will probably be a question or a few on it. In following lecture outline, numbers

More information

RLW paper titles:

RLW paper titles: RLW paper titles: http://www.wordle.net Astronomical Surveys and Data Archives Richard L. White Space Telescope Science Institute HiPACC Summer School, July 2012 Overview Surveys & catalogs: Fundamental

More information

Optical Synoptic Telescopes: New Science Frontiers *

Optical Synoptic Telescopes: New Science Frontiers * Optical Synoptic Telescopes: New Science Frontiers * J. Anthony Tyson Physics Dept., University of California, One Shields Ave., Davis, CA USA 95616 ABSTRACT Over the past decade, sky surveys such as the

More information

Observational Cosmology

Observational Cosmology Astr 102: Introduction to Astronomy Fall Quarter 2009, University of Washington, Željko Ivezić Lecture 15: Observational Cosmology 1 Outline Observational Cosmology: observations that allow us to test

More information

Phase-Referencing and the Atmosphere

Phase-Referencing and the Atmosphere Phase-Referencing and the Atmosphere Francoise Delplancke Outline: Basic principle of phase-referencing Atmospheric / astrophysical limitations Phase-referencing requirements: Practical problems: dispersion

More information

The Three Dimensional Universe, Meudon - October, 2004

The Three Dimensional Universe, Meudon - October, 2004 GAIA : The science machine Scientific objectives and impacts ------- F. Mignard OCA/ Cassiopée 1 Summary Few figures about Gaia Gaia major assets What science with Gaia Few introductory highlights Conclusion

More information

Photometric Redshifts for the NSLS

Photometric Redshifts for the NSLS Photometric Redshifts for the NSLS [ Northern Sky Legacy Survey ] S Arnouts (LAM) Main Goals To provide an optical survey to complement the Euclid NearIR + riz photometry in the Northern Sky. To design

More information

HST++ Summary. Jeremy Mould. National Optical Astronomy Observatory

HST++ Summary. Jeremy Mould. National Optical Astronomy Observatory HST++ Summary Jeremy Mould National Optical Astronomy Observatory What is the discovery space for HST++? UV 2.5 mag beyond COS Optical 2.5 mag beyond ACS Resolution a few mas Field larger than ACS (>1

More information

Transient Alerts in LSST. 1 Introduction. 2 LSST Transient Science. Jeffrey Kantor Large Synoptic Survey Telescope

Transient Alerts in LSST. 1 Introduction. 2 LSST Transient Science. Jeffrey Kantor Large Synoptic Survey Telescope Transient Alerts in LSST Jeffrey Kantor Large Synoptic Survey Telescope 1 Introduction During LSST observing, transient events will be detected and alerts generated at the LSST Archive Center at NCSA in

More information

Extragalactic Sub-Committee, Keck NGAO

Extragalactic Sub-Committee, Keck NGAO Extragalactic Sub-Committee, Keck NGAO Claire Max, Tommaso Treu, Aaron Barth, David Koo, Chuck Steidel, Richard Ellis, Rich Dekaney CfAO Workshop on Keck NGAO March 30-31, 2006 We are focusing on four

More information

DOME C AS A SETTING FOR THE PERMANENT ALL SKY SURVEY (PASS)

DOME C AS A SETTING FOR THE PERMANENT ALL SKY SURVEY (PASS) Title : will be set by the publisher Editors : will be set by the publisher EAS Publications Series, Vol.?, 2005 DOME C AS A SETTING FOR THE PERMANENT ALL SKY SURVEY (PASS) H.J. Deeg, J.A. Belmonte, R.

More information

Techniques for measuring astronomical distances generally come in two variates, absolute and relative.

Techniques for measuring astronomical distances generally come in two variates, absolute and relative. Chapter 6 Distances 6.1 Preliminaries Techniques for measuring astronomical distances generally come in two variates, absolute and relative. Absolute distance measurements involve objects possibly unique

More information

The J-PAS Survey. Silvia Bonoli

The J-PAS Survey. Silvia Bonoli The J-PAS Survey The Javalambre-PAU Astrophysical Survey A Spanish-Brazilian collaboration, the J-PAS survey will scan ~8500 deg2 of the northern sky with 54 narrow-band filters covering the whole optical

More information

Strong gravitational lenses in the 2020s

Strong gravitational lenses in the 2020s Strong gravitational lenses in the 2020s Masamune Oguri University of Tokyo 2014/7/18 TMT science forum @ Tucson Strong gravitational lenses are rare wide-field surveys find strong gravitational lenses

More information

Lecture 12. November 20, 2018 Lab 6

Lecture 12. November 20, 2018 Lab 6 Lecture 12 November 20, 2018 Lab 6 News Lab 4 Handed back next week (I hope). Lab 6 (Color-Magnitude Diagram) Observing completed; you have been assigned data if you were not able to observe. Due: instrumental

More information

Science Alerts from GAIA. Simon Hodgkin Institute of Astronomy, Cambridge

Science Alerts from GAIA. Simon Hodgkin Institute of Astronomy, Cambridge Science Alerts from GAIA Simon Hodgkin Institute of Astronomy, Cambridge Simon Hodgkin, IoA, Cambridge, UK 1 Discover the Cosmos, CERN, Sept 1-2 2011 A word on nomenclature Definition of a science alert:

More information