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- Barrientos, Alejandro, et al.
(författare)
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Towards the prediction of molecular parameters from astronomical emission lines using Neural Networks
- 2021
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Ingår i: Experimental Astronomy. - : Springer Science and Business Media LLC. - 0922-6435 .- 1572-9508. ; 52:1-2, s. 157-182
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Tidskriftsartikel (refereegranskat)abstract
- Molecular astronomy is a field that is blooming in the era of large observatories such as the Atacama Large Millimeter/Submillimeter Array (ALMA). With modern, sensitive, and high spectral resolution radio telescopes like ALMA and the Square Kilometer Array, the size of the data cubes is rapidly escalating, generating a need for powerful automatic analysis tools. This work introduces MolPred, a pilot study to perform predictions of molecular parameters such as excitation temperature (Tex) and column density (log(N)) from input spectra by the use of neural networks. We used as test cases the spectra of CO, HCO+, SiO and CH3CN between 80 and 400 GHz. Training spectra were generated with MADCUBA, a state-of-the-art spectral analysis tool. Our algorithm was designed to allow the generation of predictions for multiple molecules in parallel. Using neural networks, we can predict the column density and excitation temperature of these molecules with a mean absolute error of 8.5% for CO, 4.1% for HCO+, 1.5% for SiO and 1.6% for CH3CN. The prediction accuracy depends on the noise level, line saturation, and number of transitions. We performed predictions upon real ALMA data. The values predicted by our neural network for this real data differ by 13% from the MADCUBA values on average. Current limitations of our tool include not considering linewidth, source size, multiple velocity components, and line blending.
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| 2. |
- Sundler, Annelie Johansson, 1973-, et al.
(författare)
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Adolescents’ and young people’s experiences of social relationships and health concerns during COVID-19
- 2023
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Ingår i: International Journal of Qualitative Studies on Health and Well-being. - : Taylor & Francis Group. - 1748-2623 .- 1748-2631. ; 18:1
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: To illuminate the meaning of social relationships and health concerns as experienced by adolescents and young people during the COVID-19 pandemic.Methods: A longitudinal qualitative study was conducted. Data reported from 172 adolescents and young people aged 12–24 years in five countries; Chile, South Africa, Sweden, the United Kingdom and the United States collected from May 2020 to June 2021 were analysed via thematic analysis.Results: Adolescents and young peoples’ experiences of social relationships and health concerns were described in seven themes: Family proximity, conflicts and frustration; difficulties and challenges related to limited living space; peer relations and maintaining friendship in times of social distancing; the importance of school as a place for interaction; vulnerability, emotional distress and uncertainty about the future; health concerns and sense of caring for others; and worries and concerns related to financial hardship. These reports show that the changes to everyday life that were introduced by public responses to the pandemic generated feelings of loneliness, vulnerability, and emotional distress, as well as increased sense of togetherness with family.Conclusions: The everyday lives of adolescents and young people were restricted and affected more by the consequences of the pandemic than by the COVID-19 virus. These experiences had various impacts on well-being and mental health, where some individuals felt more exposed and vulnerable to emotional distress and loneliness than others. Family and peer relationships could be protective and support a sense of togetherness and belonging. Hence, social relationships are important to provide emotional support. Support for adolescents and young people should be tailored accordingly around social and emotional concerns, to encourage health and well-being.
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