Abstract

The Helioseismic and Magnetic Imager onboard the Solar Dynamics Observatory (SDO/HMI) provides continuous full-disk observations of solar oscillations. We develop a data-analysis pipeline based on the time-distance helioseismology method to measure acoustic travel times using HMI Doppler-shift observations, and infer solar interior properties by inverting these measurements. The pipeline is used for routine production of near-real-time full-disk maps of subsurface wave-speed perturbations and horizontal flow velocities for depths ranging from 0 to 20 Mm, every eight hours. In addition, Carrington synoptic maps for the subsurface properties are made from these full-disk maps. The pipeline can also be used for selected target areas and time periods. We explain details of the pipeline organization and procedures, including processing of the HMI Doppler observations, measurements of the travel times, inversions, and constructions of the full-disk and synoptic maps. Some initial results from the pipeline, including full-disk flow maps, sunspot subsurface flow fields, and the interior rotation and meridional flow speeds, are presented. Document type: Part of book or chapter of book

Abstract

The Helioseismic and Magnetic Imager onboard the Solar Dynamics Observatory (SDO/HMI) provides continuous full-disk observations of solar oscillations. We develop a data-analysis pipeline based on the time-distance helioseismology method to measure acoustic travel times using HMI Doppler-shift observations, and infer solar interior properties by inverting these measurements. The pipeline is used for routine production of near-real-time full-disk maps of subsurface wave-speed perturbations and horizontal flow velocities for depths ranging from 0 to 20 Mm, every eight hours. In addition, Carrington synoptic maps for the subsurface properties are made from these full-disk maps. The pipeline can also be used for selected target areas and time periods. We explain details of the pipeline organization and procedures, including processing of the HMI Doppler observations, measurements of the travel times, inversions, and constructions of the full-disk and synoptic maps. Some initial results from the pipeline, including full-disk flow maps, sunspot subsurface flow fields, and the interior rotation and meridional flow speeds, are presented.

Abstract

With the arrival of a number of wide-field snapshot image-plane radio transient surveys, there will be a huge influx of images in the coming years making it impossible to manually analyse the datasets. Automated pipelines to process the information stored in the images are being developed, such as the LOFAR Transients Pipeline, outputting light curves and various transient parameters. These pipelines have a number of tuneable parameters that require training to meet the survey requirements. This paper utilises both observed and simulated datasets to demonstrate different machine learning strategies that can be used to train these parameters. The datasets used are from LOFAR observations and we process the data using the LOFAR Transients Pipeline; however the strategies developed are applicable to any light curve datasets at different frequencies and can be adapted to different automated pipelines. These machine learning strategies are publicly available as Python tools that can be downloaded and adapted to different datasets (https://github.com/AntoniaR/TraP_ML_tools). Comment: Astronomy & Computing Accepted, 25 pages, 20 figure

Abstract

Much of our knowledge of the course of animal and plant evolution is based on shape. Recognition, description, arrangement, rearrangement, organization, reorganization, and interpretation of shape are the prime working tools of the paleontologist, the life blood of the systematist, the raw material of the evolutionist, and the dilemma of the developmental biologist. Keith Thomson's book, Morphogenesis and Evolution, deals with how shape changes both in ontogeny and in phylogeny. Morphogenesis is the study of the development of shape over an individual lifetime; evolution includes changes in shape throughout phylogeny. The development of form has been treated as a separate discipline since the German Naturphilosophie of Oken (1779-1851) and His (183 1-1904) and has been linked to phylogeny since von Baer (1792-1876). For Darwin, morphology was the soul of natural history (Darwin, 1910 p. 358), development and embryology, "one of the most important subjects in the whole round of natural history" (Darwin, 1910 p. 363). Mayr (1982 p. 468) believes that "evolutionary morphology" did not arise until the 1950's, with the distinction between function and role and the exploration of preadaptation, multiple functions, and multiple pathways. An integrated treatment of"morphogenesis and evolution" or, better, of morphogenesis as an evolutionary process therefore addresses, or should address, key questions in development, in evolution, and in the consequences of the one for the other. In developmental biology, and certainly in general treatises on animal development (of which the second edition of Scott Gilbert's [19881 Developmental Biology is the best currently available), morphogenesis is normally treated alongside differentiation (specialization of the parts of the embryo). This is not because morphogenesis and differentiation always proceed handin-hand, for even when they occur contemporaneously in space and time, each may be under separate and independent developmental control (see Maclean and Hall, 1987), but because the two, along with growth, constitute the triad of developmental processes. Morphogenesis normally occurs alongside cellular differentiation in growing tissues or organs. Differentiating cells often change shape as they grow (either by

Abstract

The Rapid Eye Mount (REM) is a 60 cm robotic telescope located at La Silla, Chile. Its Observing Software (REMOS) is constituted by a set of distributed intercommunicating processes organized around a central manager. Together they grant the system safety, automatically schedule and perform observations with two simultaneous cameras of user-defined targets, and drive fast reaction to satellite alerts. Subsequent data reduction is left to pipelines managed by each camera. Document type: Article