The MAVIS image simulator: Predicting the astrometric performance of MAVIS

Stephanie Monty; François Rigaut; Richard McDermid; Jesse Cranney; Guido Agapito; Cedric Plantet; Davide Greggio; J. Trevor Mendel; Mojtaba Taheri; Daniele Vassallo; Christian Schwab; Giuliana Fiorentino; Giuseppe Bono; Dionne Haynes

doi:10.1117/12.2561433

The MAVIS image simulator: Predicting the astrometric performance of MAVIS

Stephanie Monty^*, François Rigaut, Richard McDermid, Jesse Cranney, Guido Agapito, Cedric Plantet, Davide Greggio, J. Trevor Mendel, Mojtaba Taheri, Daniele Vassallo, Christian Schwab, Giuliana Fiorentino, Giuseppe Bono, Dionne Haynes

^*Corresponding author for this work

Advanced Instrumentation and Technology Centre

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

We present initial results from the Multi-conjugate Adaptive-optics Visible Imager-Spectrograph Image Simulator (MAVISIM) to explore the astrometric capabilities of the next generation instrument MAVIS. A core scientific and operational requirement of MAVIS will be to achieve highly accurate differential astrometry, with accuracies on the order that of the extremely large telescopes. To better understand the impact of known and anticipated astrometric error terms, we have created an initial astrometric budget which we present here to motivate the creation of MAVISIM. In this first version of MAVISIM we include three major astrometric error sources; point spread function (PSF) field variability due to high order aberrations, PSF degradation and field variability due to tip-tilt residual error, and field distortions due to non-common path aberrations in the AO module. An overview of MAVISIM is provided along with initial results from a study using MAVISIM to simulate an image of a Milky Way-like globular cluster. Astrometric accuracies are extracted using PSF-fitting photometry with encouraging results that suggest MAVIS will deliver accuracies of 150µas down to faint magnitudes.

Original language	English
Title of host publication	Ground-Based and Airborne Instrumentation for Astronomy VIII
Editors	Christopher J. Evans, Julia J. Bryant, Kentaro Motohara
Publisher	SPIE
ISBN (Electronic)	9781510636811
DOIs	https://doi.org/10.1117/12.2561433
Publication status	Published - 2020
Event	Ground-Based and Airborne Instrumentation for Astronomy VIII 2020 - Virtual, Online, United States Duration: 14 Dec 2020 → 22 Dec 2020

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	11447
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Ground-Based and Airborne Instrumentation for Astronomy VIII 2020
Country/Territory	United States
City	Virtual, Online
Period	14/12/20 → 22/12/20

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10.1117/12.2561433

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Monty, S., Rigaut, F., McDermid, R., Cranney, J., Agapito, G., Plantet, C., Greggio, D., Mendel, J. T., Taheri, M., Vassallo, D., Schwab, C., Fiorentino, G., Bono, G., & Haynes, D. (2020). The MAVIS image simulator: Predicting the astrometric performance of MAVIS. In C. J. Evans, J. J. Bryant, & K. Motohara (Eds.), Ground-Based and Airborne Instrumentation for Astronomy VIII Article 1144756 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11447). SPIE. https://doi.org/10.1117/12.2561433

@inproceedings{0df74cd0e2d6432589db490b25ce3ffa,

title = "The MAVIS image simulator: Predicting the astrometric performance of MAVIS",

abstract = "We present initial results from the Multi-conjugate Adaptive-optics Visible Imager-Spectrograph Image Simulator (MAVISIM) to explore the astrometric capabilities of the next generation instrument MAVIS. A core scientific and operational requirement of MAVIS will be to achieve highly accurate differential astrometry, with accuracies on the order that of the extremely large telescopes. To better understand the impact of known and anticipated astrometric error terms, we have created an initial astrometric budget which we present here to motivate the creation of MAVISIM. In this first version of MAVISIM we include three major astrometric error sources; point spread function (PSF) field variability due to high order aberrations, PSF degradation and field variability due to tip-tilt residual error, and field distortions due to non-common path aberrations in the AO module. An overview of MAVISIM is provided along with initial results from a study using MAVISIM to simulate an image of a Milky Way-like globular cluster. Astrometric accuracies are extracted using PSF-fitting photometry with encouraging results that suggest MAVIS will deliver accuracies of 150µas down to faint magnitudes.",

keywords = "Adaptive optics, Astrometry, Multi-conjugate adaptive optics",

author = "Stephanie Monty and Fran{\c c}ois Rigaut and Richard McDermid and Jesse Cranney and Guido Agapito and Cedric Plantet and Davide Greggio and Mendel, {J. Trevor} and Mojtaba Taheri and Daniele Vassallo and Christian Schwab and Giuliana Fiorentino and Giuseppe Bono and Dionne Haynes",

note = "Publisher Copyright: {\textcopyright} 2020 SPIE; Ground-Based and Airborne Instrumentation for Astronomy VIII 2020 ; Conference date: 14-12-2020 Through 22-12-2020",

year = "2020",

doi = "10.1117/12.2561433",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Evans, {Christopher J.} and Bryant, {Julia J.} and Kentaro Motohara",

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Monty, S, Rigaut, F, McDermid, R, Cranney, J, Agapito, G, Plantet, C, Greggio, D, Mendel, JT, Taheri, M, Vassallo, D, Schwab, C, Fiorentino, G, Bono, G & Haynes, D 2020, The MAVIS image simulator: Predicting the astrometric performance of MAVIS. in CJ Evans, JJ Bryant & K Motohara (eds), Ground-Based and Airborne Instrumentation for Astronomy VIII., 1144756, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11447, SPIE, Ground-Based and Airborne Instrumentation for Astronomy VIII 2020, Virtual, Online, United States, 14/12/20. https://doi.org/10.1117/12.2561433

The MAVIS image simulator: Predicting the astrometric performance of MAVIS. / Monty, Stephanie; Rigaut, François; McDermid, Richard et al.
Ground-Based and Airborne Instrumentation for Astronomy VIII. ed. / Christopher J. Evans; Julia J. Bryant; Kentaro Motohara. SPIE, 2020. 1144756 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11447).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The MAVIS image simulator

T2 - Ground-Based and Airborne Instrumentation for Astronomy VIII 2020

AU - Monty, Stephanie

AU - Rigaut, François

AU - McDermid, Richard

AU - Cranney, Jesse

AU - Agapito, Guido

AU - Plantet, Cedric

AU - Greggio, Davide

AU - Mendel, J. Trevor

AU - Taheri, Mojtaba

AU - Vassallo, Daniele

AU - Schwab, Christian

AU - Fiorentino, Giuliana

AU - Bono, Giuseppe

AU - Haynes, Dionne

PY - 2020

Y1 - 2020

N2 - We present initial results from the Multi-conjugate Adaptive-optics Visible Imager-Spectrograph Image Simulator (MAVISIM) to explore the astrometric capabilities of the next generation instrument MAVIS. A core scientific and operational requirement of MAVIS will be to achieve highly accurate differential astrometry, with accuracies on the order that of the extremely large telescopes. To better understand the impact of known and anticipated astrometric error terms, we have created an initial astrometric budget which we present here to motivate the creation of MAVISIM. In this first version of MAVISIM we include three major astrometric error sources; point spread function (PSF) field variability due to high order aberrations, PSF degradation and field variability due to tip-tilt residual error, and field distortions due to non-common path aberrations in the AO module. An overview of MAVISIM is provided along with initial results from a study using MAVISIM to simulate an image of a Milky Way-like globular cluster. Astrometric accuracies are extracted using PSF-fitting photometry with encouraging results that suggest MAVIS will deliver accuracies of 150µas down to faint magnitudes.

AB - We present initial results from the Multi-conjugate Adaptive-optics Visible Imager-Spectrograph Image Simulator (MAVISIM) to explore the astrometric capabilities of the next generation instrument MAVIS. A core scientific and operational requirement of MAVIS will be to achieve highly accurate differential astrometry, with accuracies on the order that of the extremely large telescopes. To better understand the impact of known and anticipated astrometric error terms, we have created an initial astrometric budget which we present here to motivate the creation of MAVISIM. In this first version of MAVISIM we include three major astrometric error sources; point spread function (PSF) field variability due to high order aberrations, PSF degradation and field variability due to tip-tilt residual error, and field distortions due to non-common path aberrations in the AO module. An overview of MAVISIM is provided along with initial results from a study using MAVISIM to simulate an image of a Milky Way-like globular cluster. Astrometric accuracies are extracted using PSF-fitting photometry with encouraging results that suggest MAVIS will deliver accuracies of 150µas down to faint magnitudes.

KW - Adaptive optics

KW - Astrometry

KW - Multi-conjugate adaptive optics

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U2 - 10.1117/12.2561433

DO - 10.1117/12.2561433

M3 - Conference contribution

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Ground-Based and Airborne Instrumentation for Astronomy VIII

A2 - Evans, Christopher J.

A2 - Bryant, Julia J.

A2 - Motohara, Kentaro

PB - SPIE

Y2 - 14 December 2020 through 22 December 2020

ER -

Monty S, Rigaut F, McDermid R, Cranney J, Agapito G, Plantet C et al. The MAVIS image simulator: Predicting the astrometric performance of MAVIS. In Evans CJ, Bryant JJ, Motohara K, editors, Ground-Based and Airborne Instrumentation for Astronomy VIII. SPIE. 2020. 1144756. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2561433

The MAVIS image simulator: Predicting the astrometric performance of MAVIS

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