The X-Ray Telescope (XRT) for the Hinode Mission

Abstract. We discuss here various methodologies and an optimal strategy of the temperature and emission measure diagnostics based on Hinode X-Ray Telescope data. As an example of our results we present the determination of the temperature distribution of the X-rays emitting plasma using a filters ratio method and three various methods of the calculation of the differential emission measure (DEM). We have found that all these methods give results similar to the two filters ratio method. Additionally, all methods of the DEM calculation gave similar solutions. We can state that the majority of the pairs of the Hinode filters allows one to derive the temperature and emission measure in the isothermal plasma approximation using standard diagnostics based on the two filters ratio method. In cases of strong flares one can also expect good conformity of the results obtained using a Withbroe -Sylwester, genetic algorithm and least-squares methods of the DEM evaluation.

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“…The range of the observed temperatures is typical for solar quiet active regions (see, e.g. Golub and Pasachoff, 1997). …”

Section: Analysed Eventsmentioning

confidence: 81%

“…It allows the Sun soft X-ray images to make a 34×34 arcmin FOV with a spatial resolution of ∼1 arcsec. Exposure times are in the range from 1 ms to 16 s. A detailed description of the instrument can be found in the paper by Golub et al (2007).…”

Section: Introductionmentioning

confidence: 99%

Diagnostic of the temperature and differential emission measure (DEM) based on <I>Hinode</I>/XRT data

Siarkowski

Falewicz

Kȩpa³

et al. 2008

Ann. Geophys.

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“…Note that SXI instruments are also aboard all of the following GOES satellites (up to now, GOES-13, 14, and 15), thus providing routine full-disk SXR imaging capabilities. Due to observational schedules more focused on flares and telemetry limitations, only a few wave detections have been reported yet from the most recent SXR imager, the X-Ray Telescope (XRT; Golub et al, 2007) aboard the Hinode spacecraft. Asai et al (2008) observed a faint arclike ejection with XRT, which was kinematically consistent with an associated EIT wave.…”

Section: Soft X-rays (Sxr)mentioning

confidence: 99%

Large-scale Globally Propagating Coronal Waves

Warmuth

2015

Living Rev. Sol. Phys.

163

140

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Large-scale, globally propagating wave-like disturbances have been observed in the solar chromosphere and by inference in the corona since the 1960s. However, detailed analysis of these phenomena has only been conducted since the late 1990s. This was prompted by the availability of high-cadence coronal imaging data from numerous spaced-based instruments, which routinely show spectacular globally propagating bright fronts. Coronal waves, as these perturbations are usually referred to, have now been observed in a wide range of spectral channels, yielding a wealth of information. Many findings have supported the "classical" interpretation of the disturbances: fast-mode MHD waves or shocks that are propagating in the solar corona. However, observations that seemed inconsistent with this picture have stimulated the development of alternative models in which "pseudo waves" are generated by magnetic reconfiguration in the framework of an expanding coronal mass ejection. This has resulted in a vigorous debate on the physical nature of these disturbances. This review focuses on demonstrating how the numerous observational findings of the last one and a half decades can be used to constrain our models of large-scale coronal waves, and how a coherent physical understanding of these disturbances is finally emerging. Article RevisionsLiving Reviews supports two ways of keeping its articles up-to-date:Fast-track revision. A fast-track revision provides the author with the opportunity to add short notices of current research results, trends and developments, or important publications to the article. A fast-track revision is refereed by the responsible subject editor. If an article has undergone a fast-track revision, a summary of changes will be listed here.Major update. A major update will include substantial changes and additions and is subject to full external refereeing. It is published with a new publication number.For detailed documentation of an article's evolution, please refer to the history document of the article's online version at http://dx

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“…Errors in the absolute calibration can bias the results of an analysis, and make it difficult to take advantage of observations from complementary instruments such as the Hinode/EUV Imaging Spectrometer (EIS; Culhane et al, 2007) and X-Ray Telescope (XRT; Golub et al, 2007) to extend the temperature coverage and precision of the AIA observations. The pre-flight calibration of AIA is described in Boerner et al (2012), along with a preliminary assessment of the accuracy of that calibration based on early on-orbit data.…”

Section: Introductionmentioning

confidence: 99%

Photometric and Thermal Cross-calibration of Solar EUV Instruments

et al. 2013

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We present an assessment of the accuracy of the calibration measurements and atomic physics models that go into calculating the SDO/AIA response as a function of wavelength and temperature. The wavelength response is tested by convolving SDO/EVE and Hinode/EIS spectral data with the AIA effective area functions and by comparing the predictions with AIA observations. For most channels, the AIA intensities summed over the disk agree with the corresponding measurements derived from the current version (V2) of the EVE data to within the estimated 25 % calibration error. This agreement indicates that the AIA effective areas are generally stable in time. The AIA 304 Å channel, however, does show degradation by a factor of almost 3 from May 2010 through September 2011, when the throughput apparently reached a minimum. We also found some inconsistencies in the 335 Å passband, possibly due to higher-order contamination of the EVE data. The intensities in the AIA 193 Å channel agree to within the uncertainties with the corresponding measurements from EIS full CCD observations. Analysis of high-resolution X-ray spectra of the solar-like corona of Procyon and of EVE spectra allowed us to investigate the accuracy and completeness of the CHIANTI database in the AIA shorter wavelength passbands. We found that in the 94 Å channel, the spectral model significantly underestimates the plasma emission owing to a multitude of missing lines. We derived an empirical correction for the AIA temperature responses by performing differential emission measure (DEM) inversion on a broad set of EVE spectra and adjusting the AIA response functions so that the count rates predicted by the full-disk DEMs match the observations.

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The X-Ray Telescope (XRT) for the Hinode Mission

Cited by 20 publications

References 7 publications

Diagnostic of the temperature and differential emission measure (DEM) based on <I>Hinode</I>/XRT data

Diagnostic of the temperature and differential emission measure (DEM) based on <I>Hinode</I>/XRT data

Large-scale Globally Propagating Coronal Waves

Photometric and Thermal Cross-calibration of Solar EUV Instruments

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The X-Ray Telescope (XRT) for the Hinode Mission

Cited by 20 publications

References 7 publications

Diagnostic of the temperature and differential emission measure (DEM) based on &lt;I&gt;Hinode&lt;/I&gt;/XRT data

Diagnostic of the temperature and differential emission measure (DEM) based on &lt;I&gt;Hinode&lt;/I&gt;/XRT data

Large-scale Globally Propagating Coronal Waves

Photometric and Thermal Cross-calibration of Solar EUV Instruments

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Product

Resources

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Diagnostic of the temperature and differential emission measure (DEM) based on <I>Hinode</I>/XRT data

Diagnostic of the temperature and differential emission measure (DEM) based on <I>Hinode</I>/XRT data