Ultraviolet Imaging Telescope on AstroSat

Tandon, S. N.; Ghosh, S. K.; Hutchings, J. B.; Stalin, C. S.; Subramaniam, Annapurni

doi:10.18520/cs/v113/i04/583-586

Cited by 9 publications

(7 citation statements)

References 3 publications

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“…Each band is configured for sky observations by effecting several user selectable parameters, the major ones being filter/grating and window size (coupled image frame rate). Further details about UVIT can be found elsewhere (Kumar et al 2012a;Tandon et al 2017a, b).…”

Section: Introductionmentioning

confidence: 99%

Performance of the UVIT Level-2 pipeline

et al. 2021

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Performance of the Level-2 pipeline, which translates the UVIT data created by the ISRO's ground segment processing systems (Level-1) into astronomer ready scientific data products, is described. This pipeline has evolved significantly from experiences during the in orbit mission. With time, the detector modules of UVIT developed certain defects which led to occasional corruption of imaging and timing data. This article will describe the improvements and mitigation plans incorporated in the pipeline and report its efficacy and quantify the performance.

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Section: Introductionmentioning

confidence: 99%

Performance of the UVIT Level-2 pipeline

et al. 2021

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“…The Ultra Violet Imaging Telescope (UVIT; Tandon et al 2017a, Tandon et al 2017c, consisting of two co-aligned telescopes of aperture 375 mm each, is one of the payloads onboard AstroSat. AstroSat is India's first multi-wavelength astronomical observatory, launched by the Indian Space Research Organisation (ISRO) on 28, September 2015 (Agrawal 2006).…”

Section: Introductionmentioning

confidence: 99%

Curvit: An open-source Python package to generate light curves from UVIT data

Joseph,

Stalin,

Tandon

et al. 2021

Preprint

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Curvit is an open-source Python package that facilitates the creation of light curves from the data collected by the Ultra-Violet Imaging Telescope (UVIT) onboard AstroSat, India's first multi-wavelength astronomical satellite. The input to Curvit is the calibrated events list generated by the UVIT-Payload Operation Center (UVIT-POC) and made available to the principal investigators through the Indian Space Science Data Center. The features of Curvit include (i) automatically detecting sources and generating light curves for all the detected sources and (ii) custom generation of light curve for any particular source of interest. We present here the capabilities of Curvit and demonstrate its usability on the UVIT observations of the intermediate polar FO Aqr as an example. Curvit is publicly available on GitHub at https://github.com/prajwel/curvit.

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“…This was followed by the nearly six month long Performance Verification (PV) phase when detailed tests, characterization and calibrations were carried out. Many details about results from the early phase of UVIT in orbit have been presented in Subramaniam et al (2016b), Tandon et al (2017a) & Tandon et al (2017b). UVIT was thrown open (along with other payloads for X-ray astronomy) for astronomical observations planned as per peer reviewed scientific proposals, at first under guaranteed time (GT) cycle followed by announcement of opportunity (AO) cycles.…”

Section: Introductionmentioning

confidence: 99%

In orbit performance of UVIT over the 5 years

Ghosh,

Joseph,

Kumar

et al. 2020

Preprint

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Over the last 5 years, UVIT has completed observations of more than 500 proposals with ∼ 800 unique pointings. In addition, regular planned monitoring observations have been made and from their analysis various key parameters related to in orbit performance of UVIT have been quantified. The sensitivities of the UV channels have remained steady indicating no effect of potential molecular contamination confirming the adequacy of all the protocols implemented for avoiding contamination. The quality of the PSF through the years confirms adequacy of thermal control measures. The early calibrations obtained during the Performance Verification (PV) phase have been further revised for more subtle effects. These include flat fields and detector distortions with greater precision. The operations of UVIT have also evolved through in orbit experience, e.g. tweaking of operational sequencing, protocol for recovery from bright object detection (BOD) shutdowns, parameters for BOD thresholds, etc. Finally, some effects of charged particle hits on electronics led to opimised strategy for regular resetting. The Near-UV channel was lost in one of such operations. All the above in-orbit experiences are presented here.

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Ultraviolet Imaging Telescope on AstroSat

Cited by 9 publications

References 3 publications

Performance of the UVIT Level-2 pipeline

Performance of the UVIT Level-2 pipeline

Curvit: An open-source Python package to generate light curves from UVIT data

In orbit performance of UVIT over the 5 years

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