Filtering techniques to enhance optical turbulence forecast performances at short time-scales
The efficiency of the management of top-class ground-based astronomical facilities supported by adaptive optics (AO) relies on our ability to forecast the optical turbulence (OT) and a set of relevant atmospheric parameters. Indeed, in spite of the fact that the AO is able to achieve, at present, ex...
Gespeichert in:
Veröffentlicht in: | Monthly notices of the Royal Astronomical Society 2020-02, Vol.492 (1), p.140-152 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 152 |
---|---|
container_issue | 1 |
container_start_page | 140 |
container_title | Monthly notices of the Royal Astronomical Society |
container_volume | 492 |
creator | Masciadri, E Martelloni, G Turchi, A |
description | The efficiency of the management of top-class ground-based astronomical facilities supported by adaptive optics (AO) relies on our ability to forecast the optical turbulence (OT) and a set of relevant atmospheric parameters. Indeed, in spite of the fact that the AO is able to achieve, at present, excellent levels of wavefront corrections (a Strehl ratio up to 90 per cent in H band), its performances strongly depend on the atmospheric conditions. Knowing in advance the atmospheric turbulence conditions allows an optimization of the AO use. It has already been proven that it is possible to provide reliable forecasts of the OT (${C_N^2 }$ profiles and integrated astroclimatic parameters such as seeing, isoplanatic angle, wavefront coherence time, etc.) for the next night. In this paper, we prove that it is possible to improve the forecast performances on shorter time-scales (order of 1 or 2 h) with consistent gains (order of 2–8) employing filtering techniques that make use of real-time measurements. This has permitted us to achieve forecasts accuracies never obtained before and reach a fundamental milestone for the astronomical applications. The time-scale of 1 or 2 h is the most critical one for an efficient management of the ground-based telescopes supported by AO. We implemented this method in the operational forecast system of the Large Binocular Telescope (LBT), named Advanced LBT Turbulence and Atmosphere (ALTA) Center that is, at our knowledge, the first operational system providing forecasts of turbulence and atmospheric parameters at short time-scales to support science operations. |
doi_str_mv | 10.1093/mnras/stz3342 |
format | Article |
fullrecord | <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1093_mnras_stz3342</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1093_mnras_stz3342</sourcerecordid><originalsourceid>FETCH-LOGICAL-c237t-9525092f7d19d1381c771f668536b66b0920c017d419872dd2a62a57c64f7b893</originalsourceid><addsrcrecordid>eNotkLtOxDAURC0EEmGhpPcPmPUjtuMSrVhAWokGShQ5jk2M8sLXKeDrycJWM5qZe4uD0C2jd4wasR3GZGEL-UeIkp-hggklCTdKnaOCUiFJpRm7RFcAn5TSUnBVoPd97LNPcfzA2btujF-LB5wn7MfOjs7jac7R2R7nJTVL749RmJJ3FjKefVr9cNwBthlDN6WMcxw8gfXGwzW6CLYHf3PSDXrbP7zunsjh5fF5d38gjgudiZFcUsODbplpmaiY05oFpSopVKNUs3bUUabbkplK87blVnErtVNl0E1lxAaR_78uTQDJh3pOcbDpu2a0PrKp_9jUJzbiF5q9WrA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Filtering techniques to enhance optical turbulence forecast performances at short time-scales</title><source>Oxford Journals Open Access Collection</source><creator>Masciadri, E ; Martelloni, G ; Turchi, A</creator><creatorcontrib>Masciadri, E ; Martelloni, G ; Turchi, A</creatorcontrib><description>The efficiency of the management of top-class ground-based astronomical facilities supported by adaptive optics (AO) relies on our ability to forecast the optical turbulence (OT) and a set of relevant atmospheric parameters. Indeed, in spite of the fact that the AO is able to achieve, at present, excellent levels of wavefront corrections (a Strehl ratio up to 90 per cent in H band), its performances strongly depend on the atmospheric conditions. Knowing in advance the atmospheric turbulence conditions allows an optimization of the AO use. It has already been proven that it is possible to provide reliable forecasts of the OT (${C_N^2 }$ profiles and integrated astroclimatic parameters such as seeing, isoplanatic angle, wavefront coherence time, etc.) for the next night. In this paper, we prove that it is possible to improve the forecast performances on shorter time-scales (order of 1 or 2 h) with consistent gains (order of 2–8) employing filtering techniques that make use of real-time measurements. This has permitted us to achieve forecasts accuracies never obtained before and reach a fundamental milestone for the astronomical applications. The time-scale of 1 or 2 h is the most critical one for an efficient management of the ground-based telescopes supported by AO. We implemented this method in the operational forecast system of the Large Binocular Telescope (LBT), named Advanced LBT Turbulence and Atmosphere (ALTA) Center that is, at our knowledge, the first operational system providing forecasts of turbulence and atmospheric parameters at short time-scales to support science operations.</description><identifier>ISSN: 0035-8711</identifier><identifier>EISSN: 1365-2966</identifier><identifier>DOI: 10.1093/mnras/stz3342</identifier><language>eng</language><ispartof>Monthly notices of the Royal Astronomical Society, 2020-02, Vol.492 (1), p.140-152</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c237t-9525092f7d19d1381c771f668536b66b0920c017d419872dd2a62a57c64f7b893</citedby><cites>FETCH-LOGICAL-c237t-9525092f7d19d1381c771f668536b66b0920c017d419872dd2a62a57c64f7b893</cites><orcidid>0000-0002-0450-4092 ; 0000-0003-3439-8005</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Masciadri, E</creatorcontrib><creatorcontrib>Martelloni, G</creatorcontrib><creatorcontrib>Turchi, A</creatorcontrib><title>Filtering techniques to enhance optical turbulence forecast performances at short time-scales</title><title>Monthly notices of the Royal Astronomical Society</title><description>The efficiency of the management of top-class ground-based astronomical facilities supported by adaptive optics (AO) relies on our ability to forecast the optical turbulence (OT) and a set of relevant atmospheric parameters. Indeed, in spite of the fact that the AO is able to achieve, at present, excellent levels of wavefront corrections (a Strehl ratio up to 90 per cent in H band), its performances strongly depend on the atmospheric conditions. Knowing in advance the atmospheric turbulence conditions allows an optimization of the AO use. It has already been proven that it is possible to provide reliable forecasts of the OT (${C_N^2 }$ profiles and integrated astroclimatic parameters such as seeing, isoplanatic angle, wavefront coherence time, etc.) for the next night. In this paper, we prove that it is possible to improve the forecast performances on shorter time-scales (order of 1 or 2 h) with consistent gains (order of 2–8) employing filtering techniques that make use of real-time measurements. This has permitted us to achieve forecasts accuracies never obtained before and reach a fundamental milestone for the astronomical applications. The time-scale of 1 or 2 h is the most critical one for an efficient management of the ground-based telescopes supported by AO. We implemented this method in the operational forecast system of the Large Binocular Telescope (LBT), named Advanced LBT Turbulence and Atmosphere (ALTA) Center that is, at our knowledge, the first operational system providing forecasts of turbulence and atmospheric parameters at short time-scales to support science operations.</description><issn>0035-8711</issn><issn>1365-2966</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNotkLtOxDAURC0EEmGhpPcPmPUjtuMSrVhAWokGShQ5jk2M8sLXKeDrycJWM5qZe4uD0C2jd4wasR3GZGEL-UeIkp-hggklCTdKnaOCUiFJpRm7RFcAn5TSUnBVoPd97LNPcfzA2btujF-LB5wn7MfOjs7jac7R2R7nJTVL749RmJJ3FjKefVr9cNwBthlDN6WMcxw8gfXGwzW6CLYHf3PSDXrbP7zunsjh5fF5d38gjgudiZFcUsODbplpmaiY05oFpSopVKNUs3bUUabbkplK87blVnErtVNl0E1lxAaR_78uTQDJh3pOcbDpu2a0PrKp_9jUJzbiF5q9WrA</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Masciadri, E</creator><creator>Martelloni, G</creator><creator>Turchi, A</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-0450-4092</orcidid><orcidid>https://orcid.org/0000-0003-3439-8005</orcidid></search><sort><creationdate>20200201</creationdate><title>Filtering techniques to enhance optical turbulence forecast performances at short time-scales</title><author>Masciadri, E ; Martelloni, G ; Turchi, A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c237t-9525092f7d19d1381c771f668536b66b0920c017d419872dd2a62a57c64f7b893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Masciadri, E</creatorcontrib><creatorcontrib>Martelloni, G</creatorcontrib><creatorcontrib>Turchi, A</creatorcontrib><collection>CrossRef</collection><jtitle>Monthly notices of the Royal Astronomical Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Masciadri, E</au><au>Martelloni, G</au><au>Turchi, A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Filtering techniques to enhance optical turbulence forecast performances at short time-scales</atitle><jtitle>Monthly notices of the Royal Astronomical Society</jtitle><date>2020-02-01</date><risdate>2020</risdate><volume>492</volume><issue>1</issue><spage>140</spage><epage>152</epage><pages>140-152</pages><issn>0035-8711</issn><eissn>1365-2966</eissn><abstract>The efficiency of the management of top-class ground-based astronomical facilities supported by adaptive optics (AO) relies on our ability to forecast the optical turbulence (OT) and a set of relevant atmospheric parameters. Indeed, in spite of the fact that the AO is able to achieve, at present, excellent levels of wavefront corrections (a Strehl ratio up to 90 per cent in H band), its performances strongly depend on the atmospheric conditions. Knowing in advance the atmospheric turbulence conditions allows an optimization of the AO use. It has already been proven that it is possible to provide reliable forecasts of the OT (${C_N^2 }$ profiles and integrated astroclimatic parameters such as seeing, isoplanatic angle, wavefront coherence time, etc.) for the next night. In this paper, we prove that it is possible to improve the forecast performances on shorter time-scales (order of 1 or 2 h) with consistent gains (order of 2–8) employing filtering techniques that make use of real-time measurements. This has permitted us to achieve forecasts accuracies never obtained before and reach a fundamental milestone for the astronomical applications. The time-scale of 1 or 2 h is the most critical one for an efficient management of the ground-based telescopes supported by AO. We implemented this method in the operational forecast system of the Large Binocular Telescope (LBT), named Advanced LBT Turbulence and Atmosphere (ALTA) Center that is, at our knowledge, the first operational system providing forecasts of turbulence and atmospheric parameters at short time-scales to support science operations.</abstract><doi>10.1093/mnras/stz3342</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-0450-4092</orcidid><orcidid>https://orcid.org/0000-0003-3439-8005</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0035-8711 |
ispartof | Monthly notices of the Royal Astronomical Society, 2020-02, Vol.492 (1), p.140-152 |
issn | 0035-8711 1365-2966 |
language | eng |
recordid | cdi_crossref_primary_10_1093_mnras_stz3342 |
source | Oxford Journals Open Access Collection |
title | Filtering techniques to enhance optical turbulence forecast performances at short time-scales |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-20T04%3A56%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Filtering%20techniques%20to%20enhance%20optical%20turbulence%20forecast%20performances%20at%20short%20time-scales&rft.jtitle=Monthly%20notices%20of%20the%20Royal%20Astronomical%20Society&rft.au=Masciadri,%20E&rft.date=2020-02-01&rft.volume=492&rft.issue=1&rft.spage=140&rft.epage=152&rft.pages=140-152&rft.issn=0035-8711&rft.eissn=1365-2966&rft_id=info:doi/10.1093/mnras/stz3342&rft_dat=%3Ccrossref%3E10_1093_mnras_stz3342%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |