The document discusses methods for improving the resolution of solar images degraded by atmospheric effects, including the shift and add (SAA) method and self-deconvolving data reconstruction algorithm (SeDDaRA). SAA involves shifting individual images to align a point spread function before adding them together to improve resolution, but it is difficult to apply to extended objects. The document proposes using self-deconvolution to determine the shifting widths for SAA, then applying SAA again using the self-deconvolved frame as the reference frame.
The document discusses using artificial neural networks (ANNs) to analyze 21cm cosmology data. Specifically, it discusses using ANNs to:
1) Emulate and speed up computation of 21cm power spectra from EoR parameters by 3 orders of magnitude.
2) Reconstruct EoR parameters like the mean free path and virial temperature from 21cm power spectra.
3) Recover the ionized bubble size distribution from 21cm power spectra to learn about the EoR source properties.
4) Generate 21cm distributions from Lyman-alpha emitter galaxy distributions using generative adversarial networks.
This document discusses the field of astroinformatics, which uses machine learning algorithms and computational tools to analyze large astronomy datasets. It summarizes that quasars are extremely luminous celestial objects located far from Earth that emit unusually large amounts of energy. The document also notes that analyzing detailed spectra of thousands of quasars using machine learning could help identify anomalous emission patterns. Finally, it predicts that astroinformatics will be crucial for making sense of the huge volumes of data that will be produced by next-generation telescopes.
A Conceptual Design for a Large Ground Array of Fluorescence DetectorsToshihiro FUJII
This document proposes a conceptual design for a large ground array of fluorescence detectors to study ultra-high energy cosmic rays. The design envisions an array covering over 40,000 km2 using a simplified fluorescence detector telescope with a single, large pixel and fresnel lens. It could achieve the same statistics as the Pierre Auger Observatory above 1019.5 eV but at a much lower cost by reducing the number of photomultiplier tubes and electronics. First simulations show the design could efficiently trigger on air showers using timing from three stations spaced 20 km apart with no surface detector required. The document calls for further R&D to develop this concept into a workable design for the next generation ultra-high energy cosmic ray observatory
The document summarizes the data processing chain for the ALISEO imaging interferometer instrument. It discusses how interferograms captured by the instrument are processed to retrieve at-sensor radiance spectra. The processing involves re-aligning pixel trajectories, interpolating interferograms, removing effects like vignetting and DC offset, and applying an adapted inverse Fourier transform to obtain radiance spectra. Experimental results using laser diodes showed good agreement with the theoretical spectra values.
This document summarizes a research paper that proposes a new method called SeDDaRA (Self-deconvolving Data Reconstruction Algorithm) to improve solar imaging using shift-and-add (SAA) techniques. SeDDaRA first applies self-deconvolution to enhance high-frequency components in speckle images. It then uses SAA, choosing the reference frame based on the image with the highest root-mean-square contrast (RMSC). Finally, a second SAA is performed using the first result as the reference frame, producing the final high-resolution image. Figures in the document show example input/output images from this new two-step SAA process with self-deconvolution.
Fluorescence detector Array of Single-pixel Telescopes (FAST) projectToshihiro FUJII
This document discusses the history and development of fluorescence detection techniques for ultra-high energy cosmic rays (UHECR). It proposes a new concept called the Fluorescence detector Array of Single-pixel Telescopes (FAST) project. FAST aims to develop an optimized and economical fluorescence detector array to observe UHECRs above 1019.5 eV over a large area. The document outlines the design of FAST stations and reports on an initial test using the EUSO-TA prototype that successfully detected laser pulses and UHECR signals. It concludes by discussing plans to construct a new full-scale FAST prototype and the potential for FAST to increase UHECR exposure and help resolve questions about their origin.
The document discusses the challenges of ground-based astronomical array imaging at far-infrared wavelengths. It covers topics such as data reduction techniques like direct mapping and iterative map-making methods. Scanning strategies that provide noise resistance, large-scale sensitivity, and coverage are explored through simulations. Common strategies like on-the-fly scanning, Lissajous patterns, billiard scans, and spirals are analyzed and compared. Examples of real observations using these techniques are also presented. The document emphasizes that careful consideration of both data reduction methods and scanning strategies is needed to produce high-quality images from ground-based submillimeter arrays.
The document discusses methods for improving the resolution of solar images degraded by atmospheric effects, including the shift and add (SAA) method and self-deconvolving data reconstruction algorithm (SeDDaRA). SAA involves shifting individual images to align a point spread function before adding them together to improve resolution, but it is difficult to apply to extended objects. The document proposes using self-deconvolution to determine the shifting widths for SAA, then applying SAA again using the self-deconvolved frame as the reference frame.
The document discusses using artificial neural networks (ANNs) to analyze 21cm cosmology data. Specifically, it discusses using ANNs to:
1) Emulate and speed up computation of 21cm power spectra from EoR parameters by 3 orders of magnitude.
2) Reconstruct EoR parameters like the mean free path and virial temperature from 21cm power spectra.
3) Recover the ionized bubble size distribution from 21cm power spectra to learn about the EoR source properties.
4) Generate 21cm distributions from Lyman-alpha emitter galaxy distributions using generative adversarial networks.
This document discusses the field of astroinformatics, which uses machine learning algorithms and computational tools to analyze large astronomy datasets. It summarizes that quasars are extremely luminous celestial objects located far from Earth that emit unusually large amounts of energy. The document also notes that analyzing detailed spectra of thousands of quasars using machine learning could help identify anomalous emission patterns. Finally, it predicts that astroinformatics will be crucial for making sense of the huge volumes of data that will be produced by next-generation telescopes.
A Conceptual Design for a Large Ground Array of Fluorescence DetectorsToshihiro FUJII
This document proposes a conceptual design for a large ground array of fluorescence detectors to study ultra-high energy cosmic rays. The design envisions an array covering over 40,000 km2 using a simplified fluorescence detector telescope with a single, large pixel and fresnel lens. It could achieve the same statistics as the Pierre Auger Observatory above 1019.5 eV but at a much lower cost by reducing the number of photomultiplier tubes and electronics. First simulations show the design could efficiently trigger on air showers using timing from three stations spaced 20 km apart with no surface detector required. The document calls for further R&D to develop this concept into a workable design for the next generation ultra-high energy cosmic ray observatory
The document summarizes the data processing chain for the ALISEO imaging interferometer instrument. It discusses how interferograms captured by the instrument are processed to retrieve at-sensor radiance spectra. The processing involves re-aligning pixel trajectories, interpolating interferograms, removing effects like vignetting and DC offset, and applying an adapted inverse Fourier transform to obtain radiance spectra. Experimental results using laser diodes showed good agreement with the theoretical spectra values.
This document summarizes a research paper that proposes a new method called SeDDaRA (Self-deconvolving Data Reconstruction Algorithm) to improve solar imaging using shift-and-add (SAA) techniques. SeDDaRA first applies self-deconvolution to enhance high-frequency components in speckle images. It then uses SAA, choosing the reference frame based on the image with the highest root-mean-square contrast (RMSC). Finally, a second SAA is performed using the first result as the reference frame, producing the final high-resolution image. Figures in the document show example input/output images from this new two-step SAA process with self-deconvolution.
Fluorescence detector Array of Single-pixel Telescopes (FAST) projectToshihiro FUJII
This document discusses the history and development of fluorescence detection techniques for ultra-high energy cosmic rays (UHECR). It proposes a new concept called the Fluorescence detector Array of Single-pixel Telescopes (FAST) project. FAST aims to develop an optimized and economical fluorescence detector array to observe UHECRs above 1019.5 eV over a large area. The document outlines the design of FAST stations and reports on an initial test using the EUSO-TA prototype that successfully detected laser pulses and UHECR signals. It concludes by discussing plans to construct a new full-scale FAST prototype and the potential for FAST to increase UHECR exposure and help resolve questions about their origin.
The document discusses the challenges of ground-based astronomical array imaging at far-infrared wavelengths. It covers topics such as data reduction techniques like direct mapping and iterative map-making methods. Scanning strategies that provide noise resistance, large-scale sensitivity, and coverage are explored through simulations. Common strategies like on-the-fly scanning, Lissajous patterns, billiard scans, and spirals are analyzed and compared. Examples of real observations using these techniques are also presented. The document emphasizes that careful consideration of both data reduction methods and scanning strategies is needed to produce high-quality images from ground-based submillimeter arrays.
The document discusses feature extraction from time-series astronomical data. It describes how astronomy has moved from small-scale shallow surveys to large deep surveys, enabling the discovery of transients and new science. It discusses challenges in extracting features from heterogeneous time-series data with missing values. A variety of statistical and domain-based features can be extracted from light curves, but challenges remain in optimizing surveys for different types of objects and follow-up. Machine learning techniques like dimensionality reduction and clustering can help analyze large astronomical time-series datasets.
This document provides an overview of the golden rules of data visualization. It discusses 9 key rules: 1) focus on pattern detection, 2) focus on the task at hand, 3) understand visual perception, 4) prioritize function over form, 5) show all the data and only the data, 6) think carefully about colour, 7) think about the story your data is telling, 8) know your audience, and 9) try to combine charts and numbers. It includes examples and references to support each rule.
This document discusses tools for distributed data analysis including Apache Spark. It is divided into three parts:
1) An introduction to cluster computing architectures like batch processing and stream processing.
2) The Python data analysis library stack including NumPy, Matplotlib, Scikit-image, Scikit-learn, Rasterio, Fiona, Pandas, and Jupyter.
3) The Apache Spark cluster computing framework and examples of its use including contexts, HDFS, telemetry, MLlib, streaming, and deployment on AWS.
This document discusses the importance of statistics in astronomical research. It notes that while astronomers are well-trained in physics, many are not well-versed in statistical methodology and often misapply statistical methods. The document outlines the talk, covering the history of astronomy and statistics, current issues, and recommended steps for proper statistical analysis of scientific data. It emphasizes that modern statistical tools and computing environments like R can help astronomers better analyze the huge datasets now available and derive deeper scientific insights.
1. There are different approaches to feature extraction from optical data, including pixel-based descriptors like color and texture, as well as object-oriented descriptors and combinations of features.
2. A "golden standard" for classification of metric resolution data uses features like color histograms, histograms of oriented gradients, local binary patterns, line segments, and edge density.
3. Bayesian models can be used for information extraction, with hierarchies of models and updating descriptions based on new information. Bayesian approaches have been applied to synthetic aperture radar and digital elevation models.
This document discusses using high resolution maps and 3D reconstructions of the atmosphere to study meteorological phenomena. It outlines various remote sensing techniques and datasets that can be used, including synthetic aperture radar interferometry (InSAR) and GPS tomography. InSAR phase measurements contain contributions from topography, atmospheric water vapor, and surface deformation. The document explores how the atmospheric signal in InSAR data is related to the precipitable water vapor content integrated along the radar signal path. This information could help identify patterns in atmospheric dynamics and types of clouds.
1. Distributed optimization techniques are needed to train machine learning models on large datasets.
2. Gradient descent and its variants are commonly used optimization methods for training ML models. These include batch gradient descent, stochastic gradient descent, momentum gradient descent, Nesterov accelerated gradient, Adagrad, Adadelta, and RMSprop.
3. Each method has a different approach to updating model parameters in order to minimize an objective function more efficiently. For example, momentum helps overcome oscillations, while Adagrad adapts learning rates for each parameter.
This document discusses image search and analysis techniques for remote sensing data. It describes an index management system that takes in data and indexes it using column-based databases. Images are analyzed to extract features that allow for image search based on compression in compressed streams. Queries can be performed on the indexed data to return similar images based on semantic labels and normalized distances from queries. Examples are provided using different remote sensing datasets, including GeoEye, DigitalGlobe, and TerraSAR-X images.
This document provides an introduction to radio astronomy, including its history and key discoveries. It discusses how radio astronomy works and some of the tools used, such as radio telescopes, receivers, and interferometers. Important figures who contributed to the field are also mentioned, such as Maxwell, Jansky, and Reber. Current large radio astronomy projects and arrays are summarized. In conclusion, radio astronomy is used to learn about the universe through radio wave observations and produce images where light cannot be seen.
Neutron activation analysis is a nuclear analysis method that detects characteristic gamma rays emitted from radioactive isotopes produced when a sample is irradiated with neutrons. Accelerator mass spectrometry uses an accelerator attached to a mass spectrometer to separate rare isotopes like carbon-14 from more abundant isotopes. Mössbauer spectroscopy detects gamma rays emitted during the recoil-free emission and absorption of gamma rays between nuclei in a solid, providing information about oxidation states and magnetic properties. Ion beam analysis techniques like Rutherford backscattering spectroscopy and particle-induced X-ray emission use ion beams to analyze samples.
This document provides an overview of x-ray crystallography. It discusses the history, principles, methods, instrumentation, and applications of x-ray crystallography. The key methods described are Laue photography, Bragg spectroscopy, rotating crystal photography, and powder crystallography. The document also outlines the basic components of x-ray instrumentation, including x-ray production, collimation, and detection. X-ray crystallography is used to determine the atomic structure of crystals by analyzing the diffraction pattern of x-rays.
Atomic absorption spectroscopy (AAS) is a technique used to determine the concentration of metal elements in samples. It works by vaporizing the sample in a flame and measuring the absorption of light from a lamp at specific wavelengths corresponding to elements. The instrument is calibrated using standards of known concentration to create a calibration curve relating absorption to concentration. Absorption measurements of samples can then be used to determine unknown concentrations by reference to the calibration curve.
This document summarizes a study that compiled a list of 220 spiral galaxies with quasars at their centers from the Sloan Digital Sky Survey Data Release 7. It analyzed the virial mass estimates of the quasars' supermassive black holes using three different calibration methods/datasets. Histograms of the black hole masses were created and showed a distribution ranging from 10^7 to 10^9 solar masses. Virial mass estimators relate the motion of gas around a black hole to its mass based on measured properties like emission line widths and luminosities.
- A maser is a device that amplifies microwaves through stimulated emission of radiation, causing electrons in excited molecules to release photons that add up coherently (in phase).
- The first ammonia maser was developed in 1953, and the first hydrogen maser used today was created by Norman Ramsey in 1960. Natural masers have been detected in space since 1965.
- Maser molecules include atomic hydrogen and ammonia, gaseous rubidium, solid-state ruby, dual noble gases, and liquid water. Laboratory masers are more powerful than natural ones.
- Hydrogen masers are used in atomic clocks for timekeeping. Astrophysical masers identify conditions
- Telescopes are devices used to observe distant stars, galaxies, and other objects by magnifying them. Telescopes come in different types depending on the wavelength of light they observe, such as optical, radio, infrared, ultraviolet, X-ray, and more.
- Larger telescopes provide higher sensitivity, allowing fainter objects to be observed, and higher resolution, allowing smaller structures to be resolved. However, limitations in size exist due to technical and financial constraints.
- Radio interferometers overcome size limitations by combining signals from multiple antennas spaced far apart, effectively creating a telescope as large as the spacing between antennas. This allows for much higher resolution than a single radio dish telescope.
The document describes the Gamma Ray Observatory project at Mount Abu, India, run by Bhabha Atomic Research Centre (BARC). Some key points:
1) BARC established the TACTIC (TeV Atmospheric Cerenkov Telescope) array at Mount Abu to detect and study gamma rays using the air Cherenkov technique.
2) The TACTIC array consists of 4 telescopes, each with a mirror basket holding 34 mirrors to collect Cherenkov light from gamma ray air showers.
3) Mount Abu was chosen as the site due to its high number of clear nights per year and altitude, making it suitable for gamma ray and infrared astronomy research.
The document discusses feature extraction from time-series astronomical data. It describes how astronomy has moved from small-scale shallow surveys to large deep surveys, enabling the discovery of transients and new science. It discusses challenges in extracting features from heterogeneous time-series data with missing values. A variety of statistical and domain-based features can be extracted from light curves, but challenges remain in optimizing surveys for different types of objects and follow-up. Machine learning techniques like dimensionality reduction and clustering can help analyze large astronomical time-series datasets.
This document provides an overview of the golden rules of data visualization. It discusses 9 key rules: 1) focus on pattern detection, 2) focus on the task at hand, 3) understand visual perception, 4) prioritize function over form, 5) show all the data and only the data, 6) think carefully about colour, 7) think about the story your data is telling, 8) know your audience, and 9) try to combine charts and numbers. It includes examples and references to support each rule.
This document discusses tools for distributed data analysis including Apache Spark. It is divided into three parts:
1) An introduction to cluster computing architectures like batch processing and stream processing.
2) The Python data analysis library stack including NumPy, Matplotlib, Scikit-image, Scikit-learn, Rasterio, Fiona, Pandas, and Jupyter.
3) The Apache Spark cluster computing framework and examples of its use including contexts, HDFS, telemetry, MLlib, streaming, and deployment on AWS.
This document discusses the importance of statistics in astronomical research. It notes that while astronomers are well-trained in physics, many are not well-versed in statistical methodology and often misapply statistical methods. The document outlines the talk, covering the history of astronomy and statistics, current issues, and recommended steps for proper statistical analysis of scientific data. It emphasizes that modern statistical tools and computing environments like R can help astronomers better analyze the huge datasets now available and derive deeper scientific insights.
1. There are different approaches to feature extraction from optical data, including pixel-based descriptors like color and texture, as well as object-oriented descriptors and combinations of features.
2. A "golden standard" for classification of metric resolution data uses features like color histograms, histograms of oriented gradients, local binary patterns, line segments, and edge density.
3. Bayesian models can be used for information extraction, with hierarchies of models and updating descriptions based on new information. Bayesian approaches have been applied to synthetic aperture radar and digital elevation models.
This document discusses using high resolution maps and 3D reconstructions of the atmosphere to study meteorological phenomena. It outlines various remote sensing techniques and datasets that can be used, including synthetic aperture radar interferometry (InSAR) and GPS tomography. InSAR phase measurements contain contributions from topography, atmospheric water vapor, and surface deformation. The document explores how the atmospheric signal in InSAR data is related to the precipitable water vapor content integrated along the radar signal path. This information could help identify patterns in atmospheric dynamics and types of clouds.
1. Distributed optimization techniques are needed to train machine learning models on large datasets.
2. Gradient descent and its variants are commonly used optimization methods for training ML models. These include batch gradient descent, stochastic gradient descent, momentum gradient descent, Nesterov accelerated gradient, Adagrad, Adadelta, and RMSprop.
3. Each method has a different approach to updating model parameters in order to minimize an objective function more efficiently. For example, momentum helps overcome oscillations, while Adagrad adapts learning rates for each parameter.
This document discusses image search and analysis techniques for remote sensing data. It describes an index management system that takes in data and indexes it using column-based databases. Images are analyzed to extract features that allow for image search based on compression in compressed streams. Queries can be performed on the indexed data to return similar images based on semantic labels and normalized distances from queries. Examples are provided using different remote sensing datasets, including GeoEye, DigitalGlobe, and TerraSAR-X images.
This document provides an introduction to radio astronomy, including its history and key discoveries. It discusses how radio astronomy works and some of the tools used, such as radio telescopes, receivers, and interferometers. Important figures who contributed to the field are also mentioned, such as Maxwell, Jansky, and Reber. Current large radio astronomy projects and arrays are summarized. In conclusion, radio astronomy is used to learn about the universe through radio wave observations and produce images where light cannot be seen.
Neutron activation analysis is a nuclear analysis method that detects characteristic gamma rays emitted from radioactive isotopes produced when a sample is irradiated with neutrons. Accelerator mass spectrometry uses an accelerator attached to a mass spectrometer to separate rare isotopes like carbon-14 from more abundant isotopes. Mössbauer spectroscopy detects gamma rays emitted during the recoil-free emission and absorption of gamma rays between nuclei in a solid, providing information about oxidation states and magnetic properties. Ion beam analysis techniques like Rutherford backscattering spectroscopy and particle-induced X-ray emission use ion beams to analyze samples.
This document provides an overview of x-ray crystallography. It discusses the history, principles, methods, instrumentation, and applications of x-ray crystallography. The key methods described are Laue photography, Bragg spectroscopy, rotating crystal photography, and powder crystallography. The document also outlines the basic components of x-ray instrumentation, including x-ray production, collimation, and detection. X-ray crystallography is used to determine the atomic structure of crystals by analyzing the diffraction pattern of x-rays.
Atomic absorption spectroscopy (AAS) is a technique used to determine the concentration of metal elements in samples. It works by vaporizing the sample in a flame and measuring the absorption of light from a lamp at specific wavelengths corresponding to elements. The instrument is calibrated using standards of known concentration to create a calibration curve relating absorption to concentration. Absorption measurements of samples can then be used to determine unknown concentrations by reference to the calibration curve.
This document summarizes a study that compiled a list of 220 spiral galaxies with quasars at their centers from the Sloan Digital Sky Survey Data Release 7. It analyzed the virial mass estimates of the quasars' supermassive black holes using three different calibration methods/datasets. Histograms of the black hole masses were created and showed a distribution ranging from 10^7 to 10^9 solar masses. Virial mass estimators relate the motion of gas around a black hole to its mass based on measured properties like emission line widths and luminosities.
- A maser is a device that amplifies microwaves through stimulated emission of radiation, causing electrons in excited molecules to release photons that add up coherently (in phase).
- The first ammonia maser was developed in 1953, and the first hydrogen maser used today was created by Norman Ramsey in 1960. Natural masers have been detected in space since 1965.
- Maser molecules include atomic hydrogen and ammonia, gaseous rubidium, solid-state ruby, dual noble gases, and liquid water. Laboratory masers are more powerful than natural ones.
- Hydrogen masers are used in atomic clocks for timekeeping. Astrophysical masers identify conditions
- Telescopes are devices used to observe distant stars, galaxies, and other objects by magnifying them. Telescopes come in different types depending on the wavelength of light they observe, such as optical, radio, infrared, ultraviolet, X-ray, and more.
- Larger telescopes provide higher sensitivity, allowing fainter objects to be observed, and higher resolution, allowing smaller structures to be resolved. However, limitations in size exist due to technical and financial constraints.
- Radio interferometers overcome size limitations by combining signals from multiple antennas spaced far apart, effectively creating a telescope as large as the spacing between antennas. This allows for much higher resolution than a single radio dish telescope.
The document describes the Gamma Ray Observatory project at Mount Abu, India, run by Bhabha Atomic Research Centre (BARC). Some key points:
1) BARC established the TACTIC (TeV Atmospheric Cerenkov Telescope) array at Mount Abu to detect and study gamma rays using the air Cherenkov technique.
2) The TACTIC array consists of 4 telescopes, each with a mirror basket holding 34 mirrors to collect Cherenkov light from gamma ray air showers.
3) Mount Abu was chosen as the site due to its high number of clear nights per year and altitude, making it suitable for gamma ray and infrared astronomy research.
The document summarizes the first direct image taken of a black hole by the Event Horizon Telescope in 2017. Key points include:
1) The image showed a dark circle surrounded by a bright ring, matching predictions from Einstein's theory of general relativity for the shadow and photon ring around a black hole.
2) Analysis of the image allowed estimation of the black hole's size and properties, concluding it has a mass of around 6.5 billion solar masses and is located 53 million light years away at the center of the M87 galaxy.
3) Future research aims to take even higher resolution images with improved telescopes to learn more about black hole physics and further test Einstein's theory of general relativity. Asia
1. The document discusses various methods used to measure astronomical distances, from nearby to extremely distant, including trigonometric parallax, Cepheid variable stars, Type Ia supernovae, the Tully-Fisher relation, and others.
2. It describes calibrating and linking these different distance measurement techniques in a "distance ladder" to determine distances farther than any single method can reach.
3. The goal is an accurate measurement of the Hubble constant, which relates distances and recessional velocities of galaxies and allows inferences about the size and age of the universe.
Distributed Data Processing using Spark by Panos Labropoulos_and Sarod Yataw...Spark Summit
Spark can help with distributed data processing for radio astronomy in three key ways:
1. It allows for in-memory distributed processing of very large datasets across clusters in a fault-tolerant manner, avoiding unnecessary data movement. This is crucial for processing the exabytes of data expected from projects like the Square Kilometer Array.
2. Spark supports iterative algorithms well through its Resilient Distributed Datasets (RDDs) abstraction, which is important for techniques like calibration and deconvolution.
3. Spark can implement consensus-based distributed optimization algorithms to help with calibration, allowing information to be collectively optimized from data distributed across a network.
1) This document describes an ALMA survey of 126 submillimeter galaxies (SMGs) previously detected in the LABOCA ECDFS Submillimeter Survey (LESS).
2) The ALMA observations resolve the SMGs with an angular resolution of ∼1.6", doubling the number of interferometrically observed SMGs.
3) Preliminary results find that at least 35-50% of the LESS sources have been resolved into multiple SMGs, with the average number increasing with LESS flux density.
This document describes a new technique using optomechanical shutter modulated broadband cavity-enhanced absorption spectroscopy to search for carriers of diffuse interstellar bands (DIBs) in laboratory experiments. The technique involves producing candidate carrier molecules like carbon chain radicals in a pulsed plasma expansion, then probing the plasma with broadband light trapped in an optical cavity. An optomechanical shutter allows absorption features of the plasma to be measured over a wide wavelength range using a single spectrograph observation. Initial results show emission and absorption features can be observed that may help identify DIB carriers. This approach could efficiently test candidates to help solve the century-old mystery of the DIB carriers.
This document discusses different types of CT detectors. It describes how CT detectors work by capturing x-ray radiation from patients and converting it into electrical signals and digital information. It then summarizes the key characteristics of different detector technologies, including high efficiency, fast response time, high dynamic range, and lack of afterglow. Solid state and scintillation detectors are described as the main types that either use semiconductor materials or convert x-rays to light for detection. The advantages of multi-slice detectors over single-slice are also highlighted.
The document discusses the Hubble Space Telescope, including its key components and systems, how it operates, and its scientific applications and limitations. Specifically, it describes Hubble's modular design, pointing control system that uses gyroscopes and reaction wheels to keep it focused, its primary and secondary mirrors and scientific instruments like cameras and spectrographs, how it collects over 10 billion bits of data per week, and its role in furthering our understanding of objects like black holes, galaxies, and the expanding universe. However, it has limitations like being unable to observe the Sun or objects blocked by the Earth.
This document provides an overview of astronomy night hosted by the Sussex County Amateur Radio Club. It discusses what astronomy is, including the study of celestial objects across optical and non-optical wavelengths. It also describes radio astronomy, which studies celestial objects at radio frequencies. The document outlines different types of telescopes used in optical and radio astronomy and how they are used to observe different astronomical phenomena like stars, galaxies, and nebulae.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
5. Ashish Mahabal - BSE I
Photographic plates
• Silver salt emulsions - light sensitive
• Same principle as older (pre-digital cameras) but
on glass plates [palomar story]
• large collections exist (Harvard computers) [great
for archival searches of variables - DASCH]
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6. Ashish Mahabal - BSE I
Carina Nebula on a 1951 plate by Karl Heinze
held by Thurburn Baker (ADAP). 38cm x 38cm
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7. Ashish Mahabal - BSE I
Photomultiplier tubes
• 1% photometry (0.01 mag accuracy)
• variable stars
• set of electrodes multiply number of electrons through
higher voltages: gain of a million
• resolution not great
• used extensively in cosmic-ray and neutrino detectors
[super-kamiokande has 11200 50cm tubes looking for
Cerenkov radiation]
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8. Ashish Mahabal - BSE I
Charge-Coupled Devices
(CCDs)
• Workhorse of modern-day
astronomy
• Typically a 2D set of light-sensitive
pixels (picture elements)
• photons -> electrons
• CSS 10k x 10k chip
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9. Ashish Mahabal - BSE I
features
• Great dynamic range (twice that of CMOS) [but is it good
enough? problems with bright objects]
• Great quantum efficiency (can reach 95%)
• compare solar cells
• Good spectral range
• Needs to be cooled for astronomical purposes (LN2)
[Orion challenge]
• a bit slow
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10. Ashish Mahabal - BSE I
PQ CCDs
112-CCD, 161 Mpix camera
• multiple amplifiers for readouts (either faster on
same chip, or multiple chips): crosstalk [PQ]
• gaps between adjacent CCDs to accomodate
attendant electronics: leads to more complex
cadence
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11. Ashish Mahabal - BSE I
CRTS-II
• Same telescopes
• Bigger cameras and FOVs:
MLS 1.5m, 1.2 -> 5 sq. deg
CSS 0.7m, 8.2 -> 19 sq. deg
Spectral Instruments camera with
Imager Labs thinned 10.5K2 CCD.
Upgrades funded and underway.
8/27/14 51Ashish Mahabal
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12. Ashish Mahabal - BSE I
CCD pipeline
• Bias subtraction (ambient noise)
• Flat fielding (detector response -
per pixel)
• cosmic ray removal (grazing
incidences)
Big Picture at Griffith
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13. Ashish Mahabal - BSE I
spectroscopes
• filters are low-res spectrographs
• to capture emission and absorption lines,
we need real spectroscopes
• series of mirrors - fraction refracts;
different angle depending on wavelength
• limited resolution
• gelatin and Bragg’s diffraction can be
used for better
• not below 3000 Angstrom
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14. Ashish Mahabal - BSE I
DBSP at palomar
• two arms
• wider wavelength coverage at
better resolution
• separate gratings
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15. Ashish Mahabal - BSE I
Spectroscopy pipeline
• 1d response through polynomial fits
• arcs for wavelength calibration
• spectrophotometric standards for flux calibration
• selection of appropriate wavlength range for best
science (e.g H-alpha or L-alpha)
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16. Ashish Mahabal - BSE I
integral field units
• SDSS example
• hundreds of thousands of quasar spectra17
17. Ashish Mahabal - BSE I
NIR spectroscopy
• more challenging - water vapour and CO2
absorption
• keck spectrographs (NIRSPEC, MOSFIRE)
• above the atmosphere
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18. Ashish Mahabal - BSE I
radio detectors
• large wavelengths - so larger
receivers (lambda/d)
• can have bigger gaps (mesh)
• arrays for Fourier domain coverage
• SKA and path-finders
NEP uv coverage
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19. Ashish Mahabal - BSE I
subMM detectors
• molecular clouds
• Star formation: H2, CO
• dark clouds: Frozen CO, N
• water vapor limitation (dry/cool/stable site needed)
• Mauna Kea, Chile, Hanle, South Pole, (Greenland)
Balloons (BLAST), Stratosphere (SOFIA)
LDN 1768
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20. Ashish Mahabal - BSE I
X-ray detectors
• focussing: higher resolution/sensitivity
• collimating: coded masks, large FOV
Swift: GRB finder
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21. Ashish Mahabal - BSE I
Polarimeters
• To measure polarized light
BL Lac with RoboPol
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