Real-time turbulence profiling using particle filtering

Jonatan Lehtonen; Tapio Helin

Real-time turbulence profiling using particle filtering

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Ammatillinen

Abstrakti

A number of experiments have demonstrated that turbulence profiles can change very rapidly. However, turbulence profiling techniques typically rely on estimating correlations from up to a few minutes of data, delivering accurate profiles at the cost of a time delay. We present a novel method for tracking the turbulence profile in real time using AO telemetry. This method can provide complementary information without requiring any additional instruments, and may provide new insights into turbulence dynamics.

Alkuperäiskieli	englanti
Otsikko	AO4ELT6 Conference Proceedings
Julkaisupäivä	2019
Tila	Julkaistu - 2019
OKM-julkaisutyyppi	D3 Artikkeli ammatillisessa konferenssijulkaisussa
Tapahtuma	Adaptive Optics for Extremely Large Telescopes - Québec City, Kanada Kesto: 9 kesäk. 2019 → 14 kesäk. 2019

Tieteenalat

111 Matematiikka
115 Avaruustieteet ja tähtitiede

Pääsy asiakirjaan

ao4elt_procHyväksytty kirjoittajan käsikirjoitus, 2,94 MB
401-rTKq-251Lopullinen julkaistu versio, 2,94 MBLisenssi: Määrittelemätön

http://ao4elt6.copl.ulaval.ca/proceedings/401-rTKq-251.pdfLisenssi: Määrittelemätön

Siteeraa tätä

@inproceedings{c470b0eb8ba2490c9fb14925a05c9ed0,

title = "Real-time turbulence profiling using particle filtering",

abstract = "A number of experiments have demonstrated that turbulence profiles can change very rapidly. However, turbulence profiling techniques typically rely on estimating correlations from up to a few minutes of data, delivering accurate profiles at the cost of a time delay. We present a novel method for tracking the turbulence profile in real time using AO telemetry. This method can provide complementary information without requiring any additional instruments, and may provide new insights into turbulence dynamics.",

keywords = "111 Mathematics, Inverse problems, Data assimilation, Particle filtering, 115 Astronomy, Space science, Adaptive optics, Turbulence profiling, Real-time profiling",

author = "Jonatan Lehtonen and Tapio Helin",

year = "2019",

language = "English",

booktitle = "AO4ELT6 Conference Proceedings",

note = "Adaptive Optics for Extremely Large Telescopes, AO4ELT6 ; Conference date: 09-06-2019 Through 14-06-2019",

}

TY - GEN

T1 - Real-time turbulence profiling using particle filtering

AU - Lehtonen, Jonatan

AU - Helin, Tapio

PY - 2019

Y1 - 2019

N2 - A number of experiments have demonstrated that turbulence profiles can change very rapidly. However, turbulence profiling techniques typically rely on estimating correlations from up to a few minutes of data, delivering accurate profiles at the cost of a time delay. We present a novel method for tracking the turbulence profile in real time using AO telemetry. This method can provide complementary information without requiring any additional instruments, and may provide new insights into turbulence dynamics.

AB - A number of experiments have demonstrated that turbulence profiles can change very rapidly. However, turbulence profiling techniques typically rely on estimating correlations from up to a few minutes of data, delivering accurate profiles at the cost of a time delay. We present a novel method for tracking the turbulence profile in real time using AO telemetry. This method can provide complementary information without requiring any additional instruments, and may provide new insights into turbulence dynamics.

KW - 111 Mathematics

KW - Inverse problems

KW - Data assimilation

KW - Particle filtering

KW - 115 Astronomy, Space science

KW - Adaptive optics

KW - Turbulence profiling

KW - Real-time profiling

M3 - Conference contribution

BT - AO4ELT6 Conference Proceedings

T2 - Adaptive Optics for Extremely Large Telescopes

Y2 - 9 June 2019 through 14 June 2019

ER -