m-Mode Analysis Imaging with the Owens Valley LWA Michael Eastwood - - PowerPoint PPT Presentation

m mode analysis imaging with the owens valley lwa
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m-Mode Analysis Imaging with the Owens Valley LWA Michael Eastwood - - PowerPoint PPT Presentation

m-Mode Analysis Imaging with the Owens Valley LWA Michael Eastwood California Institute of Technology Science at Low Frequencies III December 7, 2016 M. Eastwood m-Mode Analysis Imaging 1 / 17 N Caltech Harvard/SAO Gregg Hallinan


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SLIDE 1

m-Mode Analysis Imaging with the Owens Valley LWA

Michael Eastwood

California Institute of Technology Science at Low Frequencies III – December 7, 2016 1 / 17

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SLIDE 2

Caltech

Gregg Hallinan Sandy Weinreb Stephen Bourke → Chalmers Jake Hartman → Google Harish Vedantham Jonathon Kocz Kate Clark Marin Anderson Ryan Monroe David Wang

Harvard/SAO

Lincoln Greenhill Ben Barsdell → NVIDIA Danny Price → Berkeley Hugh Garsden

OVRO

Dave Woody James Lamb OVRO staff

JPL

Larry D’Addario Joe Lazio and the rest of the LWA team

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SLIDE 3

Introduction

Foregrounds in 21 cm Cosmology

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SLIDE 4

Introduction

Foreground Leakage is a Problem

z ⇠ 8.4

Ali et al. (2015) 4 / 17

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SLIDE 5

Our understanding of the VHF sky is an extrapolation of this map.

Haslam et al. (1981, 1982) 5 / 17

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SLIDE 6

We need a measurement of the VHF sky.

Eastwood et al. (in prep.) 6 / 17

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SLIDE 7

The Owens Valley LWA

The OVRO LWA 100 Hour Dataset

Observing Period 2016-03-19 through 2016-03-23 Total Observation Time 100 hours Integration Time 13 seconds Frequency Range 25 – 82 MHz Resolution 10 – 20 arcminutes

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SLIDE 8

The Owens Valley LWA

The Data Reduction Pipeline

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SLIDE 9

The Owens Valley LWA

Calibration

  • Gain calibration occurs once per day
  • Bright sources are peeled from the dataset (Cyg A, Cas A)
  • Near-field sources of RFI (arcing power lines) subtracted
  • Flux scale tied to Perley & Butler 2016

TTCal Freely available under an open source license (GPLv3+) https://github.com/mweastwood/TTCal.jl

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SLIDE 10

m-Mode Analysis in Theory

The Challenge of Widefield Imaging

visibility = Z (sky brightness) ⇥ (beam) ⇥ (fringe pattern) dΩ We want to solve this equation quickly and accurately. Transit telescopes can exploit a symmetry that greatly simplifies the necessary computation for all-sky synthesis imaging.

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SLIDE 11

m-Mode Analysis in Theory

m-Mode Analysis Fundamentals

visibility = Z (sky brightness) ⇥ (beam) ⇥ (fringe pattern) dΩ For a telescope that does not steer its beam, visibilities are a periodic function of the sidereal time. visibility sidereal time Fourier transform

  • ! m-mode

B B @ . . . m-modes . . . 1 C C A = B B @ ... transfer matrix ... 1 C C A B B @ . . . alm . . . 1 C C A

Shaw et al. (2014, 2015) 11 / 17

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SLIDE 12

m-Mode Analysis in Theory

The Fundamental Equation

v = B B Ba + noise

v is the vector of m-modes. This is what is measured by the interferometer. B B B is the transfer matrix. It describes the response of the interferometer to the sky. This matrix is block diagonal. a is the vector of spherical harmonic coefficients (for the sky brightness).

Shaw et al. (2014, 2015) 12 / 17

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SLIDE 13

m-Mode Analysis in Theory

Regularizing the Problem

Goal: Estimate a given the observations v, but unmeasured modes should be (smoothly) set to zero. Least squares with Tikhonov regularization ˆ a = argmin

  • kv Bak2 + λkak2

= (B B B∗B B B + λI I I)−1B B B∗v Problem: How do we choose λ? (come talk to me!)

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SLIDE 14

m-Mode Analysis in Theory

Summary of m-Mode Analysis Imaging

  • Block-diagonal matrix equation
  • Exact treatment of widefield effects
  • Automatic deconvolution of large scale structures
  • Coherent synthesis imaging of a full sidereal day

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SLIDE 15

m-Mode Analysis in Practice

m-Mode Analysis at the OVRO LWA

  • Use spherical harmonics with l  1000
  • Transfer matrix is 500 GB per frequency channel
  • Computations parallelized over 160 workers
  • 12 hours to compute elements of the transfer matrix
  • 10 minutes to solve the imaging equations

BPJSpec Freely available under an open source license (GPLv3+) https://github.com/mweastwood/BPJSpec.jl

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SLIDE 16

m-Mode Analysis in Practice

Preliminary Map

Eastwood et al. (in prep.) 16 / 17

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SLIDE 17

m-Mode Analysis in Practice

Summary

  • Need a low frequency anchor to foreground maps for

21 cm cosmology

  • (Preliminary) all-sky maps with ⇠10 arcminute resolution
  • Source removal remains the largest challenge
  • Data release coming “soon”

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SLIDE 18

Backup Slides

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SLIDE 19

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SLIDE 20

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SLIDE 21

Backup Slides

System Parameters

  • 288 crossed-dipole antennas

(expanding to 352)

  • 1.5 km maximum baseline

(expanding to 2.5 km)

  • 512-input LEDA correlator
  • 24.7 MHz to 82.3 MHz

instantaneous

  • 5 antennas have

noise-switched front ends

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SLIDE 22

Backup Slides

Temperature History

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SLIDE 23

Backup Slides

Temperature History

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SLIDE 24

Backup Slides

Temperature History

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SLIDE 25

Backup Slides

The 21 cm Signal

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