Relevant bibliographies by topics / Millimeter astronomy – Software

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters

Academic literature on the topic 'Millimeter astronomy – Software'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Millimeter astronomy – Software"

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Wright, Melvyn. "Adaptive Real-Time Imaging Synthesis Telescopes." International Journal of High Performance Computing Applications 26, no. 4 (2012): 358–66. http://dx.doi.org/10.1177/1094342012445626.

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The digital revolution is transforming astronomy from a data-starved to a data-submerged science. Instruments such as the Atacama Large Millimeter Array (ALMA), the Large Synoptic Survey Telescope (LSST), and the Square Kilometre Array (SKA) will measure their accumulated data in petabytes. The capacity to produce enormous volumes of data must be matched with the computing power to process that data and produce meaningful results. In addition to handling huge data rates, we need adaptive calibration and beamforming to handle atmospheric fluctuations and radio frequency interference, and to pro
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Guglielmetti, Fabrizia, Eric Villard, and Ed Fomalont. "Bayesian Reconstruction through Adaptive Image Notion." Proceedings 33, no. 1 (2019): 21. http://dx.doi.org/10.3390/proceedings2019033021.

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A stable and unique solution to the ill-posed inverse problem in radio synthesis image analysis is sought employing Bayesian probability theory combined with a probabilistic two-component mixture model. The solution of the ill-posed inverse problem is given by inferring the values of model parameters defined to describe completely the physical system arised by the data. The analysed data are calibrated visibilities, Fourier transformed from the ( u , v ) to image planes. Adaptive splines are explored to model the cumbersome background model corrupted by the largely varying dirty beam in the im
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Adam, R., H. Goksu, A. Leingärtner-Goth, et al. "MINOT: Modeling the intracluster medium (non-)thermal content and observable prediction tools." Astronomy & Astrophysics 644 (December 2020): A70. http://dx.doi.org/10.1051/0004-6361/202039091.

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In the past decade, the observations of diffuse radio synchrotron emission toward galaxy clusters revealed cosmic-ray (CR) electrons and magnetic fields on megaparsec scales. However, their origin remains poorly understood to date, and several models have been discussed in the literature. CR protons are also expected to accumulate during the formation of clusters and probably contribute to the production of these high-energy electrons. In order to understand the physics of CRs in clusters, combining of observations at various wavelengths is particularly relevant. The exploitation of such data
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Men’shchikov, A. "Multiscale, multiwavelength extraction of sources and filaments using separation of the structural components: getsf." Astronomy & Astrophysics 649 (May 2021): A89. http://dx.doi.org/10.1051/0004-6361/202039913.

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High-quality astronomical images delivered by modern ground-based and space observatories demand adequate, reliable software for their analysis and accurate extraction of sources, filaments, and other structures, containing massive amounts of detailed information about the complex physical processes in space. The multiwavelength observations with highly variable angular resolutions across wavebands require extraction tools that preserve and use the invaluable high-resolution information. Complex fluctuating backgrounds and filamentary structures appear differently on various scales, calling fo
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Russeil, D., M. Figueira, A. Zavagno, et al. "Herschel-HOBYS study of the earliest phases of high-mass star formation in NGC 6357." Astronomy & Astrophysics 625 (May 2019): A134. http://dx.doi.org/10.1051/0004-6361/201833870.

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Aims. To constrain models of high-mass star formation it is important to identify the massive dense cores (MDCs) that are able to form high-mass star(s). This is one of the purposes of the Herschel/HOBYS key programme. Here, we carry out the census and characterise of the properties of the MDCs population of the NGC 6357 H II region. Methods. Our study is based on the Herschel/PACS and SPIRE 70−500 μm images of NGC 6357 complemented with (sub-)millimetre and mid-infrared data. We followed the procedure established by the Herschel/HOBYS consortium to extract ~0.1 pc massive dense cores using th
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Bencherif, H., L. El Amraoui, N. Semane, et al. "Examination of the 2002 major warming in the southern hemisphere using ground-based and Odin/SMR assimilated data: stratospheric ozone distributions and tropic/mid-latitude exchange." Canadian Journal of Physics 85, no. 11 (2007): 1287–300. http://dx.doi.org/10.1139/p07-143.

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Following an exceptionally active winter, the 2002 Southern Hemisphere (SH) major warming occurred in late September. It was preceded by three minor warming events that occurred in late August and early September, and yielded vortex split and break-down over Antarctica. Ozone (O3 and nitrous oxide (N2O) profiles obtained during that period of time (15 August – 4 October) by the Sub-Millimetre Radiometer (SMR) aboard the Odin satellite are assimilated into MOCAGE (Modélisation Isentrope du transport Mésoéchelle de l'Ozone Stratosphérique par Advection), a global three-dimensional chemistry tran
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Taniguchi, Akio, Yoichi Tamura, Kotaro Kohno, et al. "A new off-point-less observing method for millimeter and submillimeter spectroscopy with a frequency-modulating local oscillator." Publications of the Astronomical Society of Japan 72, no. 1 (2019). http://dx.doi.org/10.1093/pasj/psz121.

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Abstract We propose a new observing method for single-dish millimeter and submillimeter spectroscopy using a heterodyne receiver equipped with a frequency-modulating local oscillator (FMLO). Unlike conventional switching methods, which extract astronomical signals by subtracting the reference spectra of off-sources from those of on-sources, the FMLO method does not need to obtain any off-source spectra; rather, it estimates them from the on-source spectra themselves. The principle uses high-dump-rate (10 Hz) spectroscopy with radio frequency modulation achieved by fast sweeping of a local osci
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Maekawa, Takuya, Kazuya Ohara, Yizhe Zhang, et al. "Deep learning-assisted comparative analysis of animal trajectories with DeepHL." Nature Communications 11, no. 1 (2020). http://dx.doi.org/10.1038/s41467-020-19105-0.

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Abstract A comparative analysis of animal behavior (e.g., male vs. female groups) has been widely used to elucidate behavior specific to one group since pre-Darwinian times. However, big data generated by new sensing technologies, e.g., GPS, makes it difficult for them to contrast group differences manually. This study introduces DeepHL, a deep learning-assisted platform for the comparative analysis of animal movement data, i.e., trajectories. This software uses a deep neural network based on an attention mechanism to automatically detect segments in trajectories that are characteristic of one
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Dissertations / Theses on the topic "Millimeter astronomy – Software"

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Schofield, Ian Sean, and University of Lethbridge Faculty of Arts and Science. "The IRMA III control and communication system." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2005, 2005. http://hdl.handle.net/10133/277.

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The IRMA III infrared radiometer is a passive atmospheric water vapor detector designed for use with interferometric submillimeter arrays as a method of phase correction. The IRMA III instrument employs a distributed, multi-tasking software control system permitting precise fine-grained control at remote locations over a low-bandwidth network connection. IRMA's software is divided among three processors tasked with performing three primary functions: command interpretation, data collection and motor control of IRMA's Alt-Az mount. IRMA's hardware control and communication functionality is base
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"Simulating Atmosphere and the TolTEC Detector Array for Data Reduction Pipeline Evaluation." Master's thesis, 2019. http://hdl.handle.net/2286/R.I.55606.

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abstract: TolTEC is a three-color millimeter wavelength camera currently being developed for the Large Millimeter Telescope (LMT) in Mexico. Synthesizing data from previous astronomy cameras as well as knowledge of atmospheric physics, I have developed a simulation of the data collection of TolTEC on the LMT. The simulation was built off smaller sub-projects that informed the development with an understanding of the detector array, the time streams for astronomical mapping, and the science behind Lumped Element Kinetic Inductance Detectors (LEKIDs). Additionally, key aspects of software develo
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Book chapters on the topic "Millimeter astronomy – Software"

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Mattmann, Chris A., Andrew Hart, Luca Cinquini, et al. "Scalable Data Mining, Archiving, and Big Data Management for the Next Generation Astronomical Telescopes." In Big Data. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9840-6.ch100.

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Big data as a paradigm focuses on data volume, velocity, and on the number and complexity of various data formats and metadata, a set of information that describes other data types. This is nowhere better seen than in the development of the software to support next generation astronomical instruments including the MeerKAT/KAT-7 Square Kilometre Array (SKA) precursor in South Africa, in the Low Frequency Array (LOFAR) in Europe, in two instruments led in part by the U.S. National Radio Astronomy Observatory (NRAO) with its Expanded Very Large Array (EVLA) in Socorro, NM, and Atacama Large Millimeter Array (ALMA) in Chile, and in other instruments such as the Large Synoptic Survey Telescope (LSST) to be built in northern Chile. This chapter highlights the big data challenges in constructing data management systems for these astronomical instruments, specifically the challenge of integrating legacy science codes, handling data movement and triage, building flexible science data portals and user interfaces, allowing for flexible technology deployment scenarios, and in automatically and rapidly mitigating the difference in science data formats and metadata models. The authors discuss these challenges and then suggest open source solutions to them based on software from the Apache Software Foundation including Apache Object-Oriented Data Technology (OODT), Tika, and Solr. The authors have leveraged these solutions to effectively and expeditiously build many precursor and operational software systems to handle data from these astronomical instruments and to prepare for the coming data deluge from those not constructed yet. Their solutions are not specific to the astronomical domain and they are already applicable to a number of science domains including Earth, planetary, and biomedicine.
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