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Original title:
Automation of processing and photometric data analysis for transiting exoplanets observed with ESO NIR instrument HAWK-I
Authors: Blažek, M. ; Kabáth, Petr ; Klocová, Tereza ; Skarka, Marek
Document type: Papers
Conference/Event: Conference on Variable Stars Research /49./, Brno (CZ), 20171103
Year: 2018
Language: eng
Abstract: Nowadays, when amount of data still increases, it is necessary to automatise their processing. State-of-the-art instruments are capable to produce even tens of thousands of images during a single night. One of them is HAWK-I that is a part of Very Large Telescope of European Southern Observatory. This instrument works in near-infrared band. In my Master thesis, I dealt with developing a pipeline to process data obtained by the instrument. It is written in Python programming language using commands of IRAF astronomical software and it is developed directly for “Fast Photometry Mode” of HAWK-I. In this mode, a large number of data has been obtained during secondary eclipses of exoplanets by their host star. The pipeline was tested by a data set from sorting of the images to making a light curve. The data of WASP-18 system contained almost 40 000 images observed by using a filter centered at 2.09 μm wavelength and there is a plan to process other data sets. A goal of processing of WASP-18 and the other data sets is consecutive analysis of exoplanetary atmospheres of the observed systems.
Keywords: observational methods; photometric techniques; planetary systems
Project no.: GC17-01752J (CEP)
Funding provider: GA ČR
Host item entry: Proceedings of the 49th Conference on Variable Stars Research, ISSN 1801-5964
Institution: Astronomical Institute AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0292678
Permalink: http://www.nusl.cz/ntk/nusl-391566
The record appears in these collections:
Research > Institutes ASCR > Astronomical Institute
Conference materials > Papers
Authors: Blažek, M. ; Kabáth, Petr ; Klocová, Tereza ; Skarka, Marek
Document type: Papers
Conference/Event: Conference on Variable Stars Research /49./, Brno (CZ), 20171103
Year: 2018
Language: eng
Abstract: Nowadays, when amount of data still increases, it is necessary to automatise their processing. State-of-the-art instruments are capable to produce even tens of thousands of images during a single night. One of them is HAWK-I that is a part of Very Large Telescope of European Southern Observatory. This instrument works in near-infrared band. In my Master thesis, I dealt with developing a pipeline to process data obtained by the instrument. It is written in Python programming language using commands of IRAF astronomical software and it is developed directly for “Fast Photometry Mode” of HAWK-I. In this mode, a large number of data has been obtained during secondary eclipses of exoplanets by their host star. The pipeline was tested by a data set from sorting of the images to making a light curve. The data of WASP-18 system contained almost 40 000 images observed by using a filter centered at 2.09 μm wavelength and there is a plan to process other data sets. A goal of processing of WASP-18 and the other data sets is consecutive analysis of exoplanetary atmospheres of the observed systems.
Keywords: observational methods; photometric techniques; planetary systems
Project no.: GC17-01752J (CEP)
Funding provider: GA ČR
Host item entry: Proceedings of the 49th Conference on Variable Stars Research, ISSN 1801-5964
Institution: Astronomical Institute AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0292678
Permalink: http://www.nusl.cz/ntk/nusl-391566
The record appears in these collections:
Research > Institutes ASCR > Astronomical Institute
Conference materials > Papers
Record created 2019-02-13, last modified 2021-11-24