2019
DOI: 10.3847/2041-8213/ab15d9
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Recovering Thermodynamics from Spectral Profiles observed by IRIS: A Machine and Deep Learning Approach

Abstract: Inversion codes allow the reconstruction of a model atmosphere from observations. With the inclusion of optically thick lines that form in the solar chromosphere, such modeling is computationally very expensive because a non-LTE evaluation of the radiation field is required. In this study, we combine the results provided by these traditional methods with machine and deep learning techniques to obtain similar-quality results in an easy-to-use, much faster way. We have applied these new methods to Mg II h and k … Show more

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Cited by 73 publications
(56 citation statements)
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“…The Si iv brightenings are blueshifted, and the chromospheric profiles are highly unusual and show a strong emission increase at shorter wavelengths. These features strongly suggest the presence of highly energetic NTE (inversions with the new IRIS 2 code of Sainz Dalda et al (2019) also support this conclusion, as we will discuss in detail in a follow-up paper), and it is most similar to model E5. This is also compatible with the very weak overlying coronal emission, because models with highly energetic NTE predict very small coronal emission (because most of the energy is dissipated in the chromosphere; see Polito et al 2018 for a more detailed discussion).…”
Section: Discussionsupporting
confidence: 60%
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“…The Si iv brightenings are blueshifted, and the chromospheric profiles are highly unusual and show a strong emission increase at shorter wavelengths. These features strongly suggest the presence of highly energetic NTE (inversions with the new IRIS 2 code of Sainz Dalda et al (2019) also support this conclusion, as we will discuss in detail in a follow-up paper), and it is most similar to model E5. This is also compatible with the very weak overlying coronal emission, because models with highly energetic NTE predict very small coronal emission (because most of the energy is dissipated in the chromosphere; see Polito et al 2018 for a more detailed discussion).…”
Section: Discussionsupporting
confidence: 60%
“…In particular, we plan to run RADYN simulations on much finer grid of parameters (as partly discussed in the previous section 4) exploring a larger parameter space (e.g., initial conditions, duration of the heating, combination of TC and NTE, total nanoflare energy, parameters of NTE), and to find the closest matches to the observed spectra by using an automatic algorithm such as e.g., k-means clustering (e.g., Panos et al 2018) or using neural networks (e.g., Osborne et al 2019). This will also be complemented by using the IRIS 2 inversion code of Sainz Dalda et al (2019) for all of our events to obtain further constraints on the initial atmosphere and on the response of the lower atmosphere to small coronal heating events.…”
Section: Discussionmentioning
confidence: 99%
“…The Mg ii lines alone may not be sufficient to infer accurate chromospheric temperatures and microturbulence due to well-known NLTE effects, but they greatly help us to interpret ALMA observations because they provide complementary information on temperature, LOS velocities, and microturbulence (e.g., de la Cruz Rodríguez et al 2016). Furthermore, fast inversions of the h, k, and UV triplet lines are now easily available through the IRIS 2 database (Sainz Dalda et al 2019). This paper shows that the combination of IRIS and ALMA is a powerful tool for diagnosing a wider range of physical conditions in the atmosphere, and it underscores the need for more coordinated observations and 3D r-MHD simulations of plage and other solar features taking into account nonequilibrium hydrogen ionization to better understand the formation of the IRIS and ALMA diagnostics in chromospheric conditions.…”
Section: Discussionmentioning
confidence: 99%
“…The entire region around the EB/UV burst phenomena is characterized by broad wings in the Mg ii k2 peaks, both on the blue side of the k2v peak and on the red side of the k2r peak. Spectral inversions of this line using the IRIS 2 package (see http://iris.lmsal.com/iris2/ and Sainz Dalda et al 2019;de la Cruz Rodríguez et al 2016) attribute the broad asymmetric Mg ii h & k peaks most likely to the following factors in the region surrounding the EB/UV burst: a highly turbulent plasma, with turbulent velocities v turb of 10 − 15 km s −1 , covering an area that is larger than the UV burst seen in the other plasma variables like temperature T , line of sight velocity v los , and electron density n e . The maximum of v turb is reached in the lower chromosphere, where log(τ 500 ) ≃ −3 (where the photosphere is defined by the height where the optical depth τ = 1 in the continuum at 500 nm, and thus the notation τ 500 ).…”
Section: A Closer View Of the Uv Burst: Propertiesmentioning
confidence: 99%