New techniques for high-contrast imaging with ADI: The ACORNS-ADI seeds data reduction pipeline

Timothy D. Brandt; Michael W. McElwain; Edwin L. Turner; L. Abe; W. Brandner; J. Carson; S. Egner; M. Feldt; T. Golota; M. Goto; C. A. Grady; O. Guyon; J. Hashimoto; Y. Hayano; M. Hayashi; S. Hayashi; T. Henning; K. W. Hodapp; M. Ishii; M. Iye; M. Janson; R. Kandori; G. R. Knapp; T. Kudo; N. Kusakabe; M. Kuzuhara; J. Kwon; T. Matsuo; S. Miyama; J. I. Morino; A. Moro-Martín; T. Nishimura; T. S. Pyo; E. Serabyn; H. Suto; R. Suzuki; M. Takami; N. Takato; H. Terada; C. Thalmann; D. Tomono; M. Watanabe; J. P. Wisniewski; T. Yamada; H. Takami; T. Usuda; M. Tamura

doi:10.1088/0004-637X/764/2/183

New techniques for high-contrast imaging with ADI: The ACORNS-ADI seeds data reduction pipeline

Timothy D. Brandt, Michael W. McElwain, Edwin L. Turner, L. Abe, W. Brandner, J. Carson, S. Egner, M. Feldt, T. Golota, M. Goto, C. A. Grady, O. Guyon, J. Hashimoto, Y. Hayano, M. Hayashi, S. Hayashi, T. Henning, K. W. Hodapp, M. Ishii, M. IyeM. Janson, R. Kandori, G. R. Knapp, T. Kudo, N. Kusakabe, M. Kuzuhara, J. Kwon, T. Matsuo, S. Miyama, J. I. Morino, A. Moro-Martín, T. Nishimura, T. S. Pyo, E. Serabyn, H. Suto, R. Suzuki, M. Takami, N. Takato, H. Terada, C. Thalmann, D. Tomono, M. Watanabe, J. P. Wisniewski, T. Yamada, H. Takami, T. Usuda, M. Tamura

Astrophysical Sciences

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52 Scopus citations

Abstract

We describe Algorithms for Calibration, Optimized Registration, and Nulling the Star in Angular Differential Imaging (ACORNS-ADI), a new, parallelized software package to reduce high-contrast imaging data, and its application to data from the SEEDS survey. We implement several new algorithms, including a method to register saturated images, a trimmed mean for combining an image sequence that reduces noise by up to ∼20%, and a robust and computationally fast method to compute the sensitivity of a high-contrast observation everywhere on the field of view without introducing artificial sources. We also include a description of image processing steps to remove electronic artifacts specific to Hawaii2-RG detectors like the one used for SEEDS, and a detailed analysis of the Locally Optimized Combination of Images (LOCI) algorithm commonly used to reduce high-contrast imaging data. ACORNS-ADI is written in python. It is efficient and open-source, and includes several optional features which may improve performance on data from other instruments. ACORNS-ADI requires minimal modification to reduce data from instruments other than HiCIAO. It is freely available for download at www.github.com/t-brandt/acorns-adi under a Berkeley Software Distribution (BSD) license.

Original language	English (US)
Article number	183
Journal	Astrophysical Journal
Volume	764
Issue number	2
DOIs	https://doi.org/10.1088/0004-637X/764/2/183
State	Published - Feb 20 2013

All Science Journal Classification (ASJC) codes

Astronomy and Astrophysics
Space and Planetary Science

Keywords

methods: data analysis
planetary systems
techniques: high angular resolution
techniques: image processing

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10.1088/0004-637X/764/2/183

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Brandt, T. D., McElwain, M. W., Turner, E. L., Abe, L., Brandner, W., Carson, J., Egner, S., Feldt, M., Golota, T., Goto, M., Grady, C. A., Guyon, O., Hashimoto, J., Hayano, Y., Hayashi, M., Hayashi, S., Henning, T., Hodapp, K. W., Ishii, M., ... Tamura, M. (2013). New techniques for high-contrast imaging with ADI: The ACORNS-ADI seeds data reduction pipeline. Astrophysical Journal, 764(2), Article 183. https://doi.org/10.1088/0004-637X/764/2/183

@article{50d182d120664242a0b5199bb6a0ebf3,

title = "New techniques for high-contrast imaging with ADI: The ACORNS-ADI seeds data reduction pipeline",

abstract = "We describe Algorithms for Calibration, Optimized Registration, and Nulling the Star in Angular Differential Imaging (ACORNS-ADI), a new, parallelized software package to reduce high-contrast imaging data, and its application to data from the SEEDS survey. We implement several new algorithms, including a method to register saturated images, a trimmed mean for combining an image sequence that reduces noise by up to ∼20%, and a robust and computationally fast method to compute the sensitivity of a high-contrast observation everywhere on the field of view without introducing artificial sources. We also include a description of image processing steps to remove electronic artifacts specific to Hawaii2-RG detectors like the one used for SEEDS, and a detailed analysis of the Locally Optimized Combination of Images (LOCI) algorithm commonly used to reduce high-contrast imaging data. ACORNS-ADI is written in python. It is efficient and open-source, and includes several optional features which may improve performance on data from other instruments. ACORNS-ADI requires minimal modification to reduce data from instruments other than HiCIAO. It is freely available for download at www.github.com/t-brandt/acorns-adi under a Berkeley Software Distribution (BSD) license.",

keywords = "methods: data analysis, planetary systems, techniques: high angular resolution, techniques: image processing",

author = "Brandt, {Timothy D.} and McElwain, {Michael W.} and Turner, {Edwin L.} and L. Abe and W. Brandner and J. Carson and S. Egner and M. Feldt and T. Golota and M. Goto and Grady, {C. A.} and O. Guyon and J. Hashimoto and Y. Hayano and M. Hayashi and S. Hayashi and T. Henning and Hodapp, {K. W.} and M. Ishii and M. Iye and M. Janson and R. Kandori and Knapp, {G. R.} and T. Kudo and N. Kusakabe and M. Kuzuhara and J. Kwon and T. Matsuo and S. Miyama and Morino, {J. I.} and A. Moro-Mart{\'i}n and T. Nishimura and Pyo, {T. S.} and E. Serabyn and H. Suto and R. Suzuki and M. Takami and N. Takato and H. Terada and C. Thalmann and D. Tomono and M. Watanabe and Wisniewski, {J. P.} and T. Yamada and H. Takami and T. Usuda and M. Tamura",

year = "2013",

month = feb,

day = "20",

doi = "10.1088/0004-637X/764/2/183",

language = "English (US)",

volume = "764",

journal = "Astrophysical Journal",

issn = "0004-637X",

publisher = "American Astronomical Society",

number = "2",

}

Brandt, TD, McElwain, MW, Turner, EL, Abe, L, Brandner, W, Carson, J, Egner, S, Feldt, M, Golota, T, Goto, M, Grady, CA, Guyon, O, Hashimoto, J, Hayano, Y, Hayashi, M, Hayashi, S, Henning, T, Hodapp, KW, Ishii, M, Iye, M, Janson, M, Kandori, R, Knapp, GR, Kudo, T, Kusakabe, N, Kuzuhara, M, Kwon, J, Matsuo, T, Miyama, S, Morino, JI, Moro-Martín, A, Nishimura, T, Pyo, TS, Serabyn, E, Suto, H, Suzuki, R, Takami, M, Takato, N, Terada, H, Thalmann, C, Tomono, D, Watanabe, M, Wisniewski, JP, Yamada, T, Takami, H, Usuda, T & Tamura, M 2013, 'New techniques for high-contrast imaging with ADI: The ACORNS-ADI seeds data reduction pipeline', Astrophysical Journal, vol. 764, no. 2, 183. https://doi.org/10.1088/0004-637X/764/2/183

TY - JOUR

T1 - New techniques for high-contrast imaging with ADI

T2 - The ACORNS-ADI seeds data reduction pipeline

AU - Brandt, Timothy D.

AU - McElwain, Michael W.

AU - Turner, Edwin L.

AU - Abe, L.

AU - Brandner, W.

AU - Carson, J.

AU - Egner, S.

AU - Feldt, M.

AU - Golota, T.

AU - Goto, M.

AU - Grady, C. A.

AU - Guyon, O.

AU - Hashimoto, J.

AU - Hayano, Y.

AU - Hayashi, M.

AU - Hayashi, S.

AU - Henning, T.

AU - Hodapp, K. W.

AU - Ishii, M.

AU - Iye, M.

AU - Janson, M.

AU - Kandori, R.

AU - Knapp, G. R.

AU - Kudo, T.

AU - Kusakabe, N.

AU - Kuzuhara, M.

AU - Kwon, J.

AU - Matsuo, T.

AU - Miyama, S.

AU - Morino, J. I.

AU - Moro-Martín, A.

AU - Nishimura, T.

AU - Pyo, T. S.

AU - Serabyn, E.

AU - Suto, H.

AU - Suzuki, R.

AU - Takami, M.

AU - Takato, N.

AU - Terada, H.

AU - Thalmann, C.

AU - Tomono, D.

AU - Watanabe, M.

AU - Wisniewski, J. P.

AU - Yamada, T.

AU - Takami, H.

AU - Usuda, T.

AU - Tamura, M.

PY - 2013/2/20

Y1 - 2013/2/20

N2 - We describe Algorithms for Calibration, Optimized Registration, and Nulling the Star in Angular Differential Imaging (ACORNS-ADI), a new, parallelized software package to reduce high-contrast imaging data, and its application to data from the SEEDS survey. We implement several new algorithms, including a method to register saturated images, a trimmed mean for combining an image sequence that reduces noise by up to ∼20%, and a robust and computationally fast method to compute the sensitivity of a high-contrast observation everywhere on the field of view without introducing artificial sources. We also include a description of image processing steps to remove electronic artifacts specific to Hawaii2-RG detectors like the one used for SEEDS, and a detailed analysis of the Locally Optimized Combination of Images (LOCI) algorithm commonly used to reduce high-contrast imaging data. ACORNS-ADI is written in python. It is efficient and open-source, and includes several optional features which may improve performance on data from other instruments. ACORNS-ADI requires minimal modification to reduce data from instruments other than HiCIAO. It is freely available for download at www.github.com/t-brandt/acorns-adi under a Berkeley Software Distribution (BSD) license.

AB - We describe Algorithms for Calibration, Optimized Registration, and Nulling the Star in Angular Differential Imaging (ACORNS-ADI), a new, parallelized software package to reduce high-contrast imaging data, and its application to data from the SEEDS survey. We implement several new algorithms, including a method to register saturated images, a trimmed mean for combining an image sequence that reduces noise by up to ∼20%, and a robust and computationally fast method to compute the sensitivity of a high-contrast observation everywhere on the field of view without introducing artificial sources. We also include a description of image processing steps to remove electronic artifacts specific to Hawaii2-RG detectors like the one used for SEEDS, and a detailed analysis of the Locally Optimized Combination of Images (LOCI) algorithm commonly used to reduce high-contrast imaging data. ACORNS-ADI is written in python. It is efficient and open-source, and includes several optional features which may improve performance on data from other instruments. ACORNS-ADI requires minimal modification to reduce data from instruments other than HiCIAO. It is freely available for download at www.github.com/t-brandt/acorns-adi under a Berkeley Software Distribution (BSD) license.

KW - methods: data analysis

KW - planetary systems

KW - techniques: high angular resolution

KW - techniques: image processing

UR - http://www.scopus.com/inward/record.url?scp=84874096456&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874096456&partnerID=8YFLogxK

U2 - 10.1088/0004-637X/764/2/183

DO - 10.1088/0004-637X/764/2/183

M3 - Article

AN - SCOPUS:84874096456

SN - 0004-637X

VL - 764

JO - Astrophysical Journal

JF - Astrophysical Journal

IS - 2

M1 - 183

ER -

New techniques for high-contrast imaging with ADI: The ACORNS-ADI seeds data reduction pipeline

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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