The document is Alfredo Pagano's 2009 PhD activities report. It summarizes his work monitoring the performance of the Italian National Research and Education Network (GARR) using grid jobs. Specifically, it details his design of a grid-based network monitoring tool that runs probes as jobs to measure metrics like latency, bandwidth and hop count between sites without needing dedicated monitoring hosts. Preliminary results are shown for tests between 8 Italian university and research sites.
Machine learning is used at all stages of the LHCb experiment. It is routinely used: in the process of deciding which data to record and which to reject forever, as part of the reconstruction algorithms (feature engineering), and in the extraction of physics results from our data. This talk will highlight current use cases, as well as ideas for ambitious future applications, and how we (machine learning expert + physicist) can collaborate on them.
Training your astronomy robots to work as a teamTim Staley
I present a case that the astronomy community is missing a part of the puzzle for the next era of automated big-survey astronomy: we currently have very little published work on target prioritization and optimized observation scheduling. I discuss the sociological issues surrounding the sort of open collaboration needed to make optimal use of globally distributed observatories, and show some preliminary work on generally-applicable classification methods.
GaiaCal2014: Creating and Calibrating LSST Data ProductMario Juric
This document provides an overview of the Large Synoptic Survey Telescope (LSST) project meeting GAIACAL 2014 held in Ringberg, Germany on July 9, 2014. The LSST project will create a large survey telescope with an 8.4 meter primary mirror that will image the entire available sky every few nights over 10 years. It will provide deep, wide-field imaging in multiple optical and infrared bands to enable time domain astronomy, a census of the solar system, mapping the Milky Way, and studying dark matter and dark energy. The presentation reviewed the LSST instrumentation, data products, calibration processes, and status of construction with first light expected in 2022.
How to build a TraP: An image-plane transient-discovery toolTim Staley
There are three main points summarized:
1. There are many interesting slow radio transients that could be detected through imaging surveys like accretion flares, orphan gamma-ray bursts, and flare stars.
2. Radio surveys are increasing in sensitivity and field of view by orders of magnitude with instruments like LOFAR, enabling the detection of more rare transient events.
3. TraP is a transient detection pipeline that works by extracting sources from radio images, matching to known sources, identifying new bright sources, analyzing light curves, and making the results accessible through a user-friendly web interface.
The document is Alfredo Pagano's 2009 PhD activities report. It summarizes his work monitoring the performance of the Italian National Research and Education Network (GARR) using grid jobs. Specifically, it details his design of a grid-based network monitoring tool that runs probes as jobs to measure metrics like latency, bandwidth and hop count between sites without needing dedicated monitoring hosts. Preliminary results are shown for tests between 8 Italian university and research sites.
Machine learning is used at all stages of the LHCb experiment. It is routinely used: in the process of deciding which data to record and which to reject forever, as part of the reconstruction algorithms (feature engineering), and in the extraction of physics results from our data. This talk will highlight current use cases, as well as ideas for ambitious future applications, and how we (machine learning expert + physicist) can collaborate on them.
Training your astronomy robots to work as a teamTim Staley
I present a case that the astronomy community is missing a part of the puzzle for the next era of automated big-survey astronomy: we currently have very little published work on target prioritization and optimized observation scheduling. I discuss the sociological issues surrounding the sort of open collaboration needed to make optimal use of globally distributed observatories, and show some preliminary work on generally-applicable classification methods.
GaiaCal2014: Creating and Calibrating LSST Data ProductMario Juric
This document provides an overview of the Large Synoptic Survey Telescope (LSST) project meeting GAIACAL 2014 held in Ringberg, Germany on July 9, 2014. The LSST project will create a large survey telescope with an 8.4 meter primary mirror that will image the entire available sky every few nights over 10 years. It will provide deep, wide-field imaging in multiple optical and infrared bands to enable time domain astronomy, a census of the solar system, mapping the Milky Way, and studying dark matter and dark energy. The presentation reviewed the LSST instrumentation, data products, calibration processes, and status of construction with first light expected in 2022.
How to build a TraP: An image-plane transient-discovery toolTim Staley
There are three main points summarized:
1. There are many interesting slow radio transients that could be detected through imaging surveys like accretion flares, orphan gamma-ray bursts, and flare stars.
2. Radio surveys are increasing in sensitivity and field of view by orders of magnitude with instruments like LOFAR, enabling the detection of more rare transient events.
3. TraP is a transient detection pipeline that works by extracting sources from radio images, matching to known sources, identifying new bright sources, analyzing light curves, and making the results accessible through a user-friendly web interface.
ESCAPE Kick-off meeting - FAIR, Facility for Antiproton and Ion Research (Feb...ESCAPE EU
The Facility for Antiproton and Ion Research (FAIR) project in Darmstadt, Germany is progressing well with construction of accelerators and civil works. FAIR will provide unique beams of antiprotons, ions, and rare isotopes for research in nuclear physics, astrophysics, plasma physics, and applied sciences. Four major international collaborations will perform experiments at FAIR to study quantum chromodynamics, the origin of elements in the universe, and neutron star mergers. Computing and data challenges are significant due to very high data rates, and FAIR hopes to benefit from technologies developed in the European Open Science Cloud project.
LambdaGrids--Earth and Planetary Sciences Driving High Performance Networks a...Larry Smarr
05.02.04
Invited Talk to the NASA Jet Propulsion Laboratory
Title: LambdaGrids--Earth and Planetary Sciences Driving High Performance Networks and High Resolution Visualizations
Pasadena, CA
Bo Peng, NAOC / CAS: Long March of FAST DreamersILOAHawaii
This document summarizes the history and development of the Five-hundred-meter Aperture Spherical radio Telescope (FAST) in China. It discusses:
1) The origins and formation of the FAST concept in the 1990s with early technology demonstrations and feasibility studies.
2) Key technology research and demonstrations in the 2000s to prove the viability of FAST, including the active reflector system and cable-driven feed support structure.
3) The construction and commissioning of FAST from 2008-2019, which included overcoming challenges during the 5.5 year building process.
4) The science capabilities of FAST such as its ability to detect thousands of new pulsars and galaxies, marking the start of
The document discusses the National Research Platform (NRP), specifically the 4th NRP workshop. It provides an overview of NRP's Nautilus, a multi-institution hypercluster connected by optical networks across 25 partner campuses. In 2022, Nautilus comprised ~200 computing nodes and 4000TB of rotating storage. The document highlights several large research projects from different domains that utilize Nautilus, including particle physics, telescopes, biomedical applications, earth sciences, and visualization. These applications demonstrate how Nautilus enables data-intensive and collaborative multi-campus research at national scale.
This document discusses how clouds are used in high energy physics research. It describes how clouds provide computing resources for experiments like the Large Hadron Collider. Clouds help process massive amounts of data from particle collisions and allow global collaboration between researchers. They also help preserve data and software from past experiments for long-term analysis. Clouds enable high energy physics to further understanding of fundamental questions about the universe.
The document summarizes a presentation given at the MWSG Meeting at Stanford Linear Accelerator Laboratory on June 5-6, 2006. The presentation discusses the Privilege Project, including its goals of delivering finer-grained authorization of processing resources, key achievements in deploying the authorization infrastructure, and current and future plans such as simplifying the architecture and extending privilege enforcement to network management.
Cloud Testbeds for Standards Development and InnovationAlan Sill
Invited talk given at the 2014 Chip-to-Cloud Security Forum "Advances in Securing Embedded, Mobile and Cloud Services and Ecosystems" in the seminar session on "Procurement, SLAs, and Standardisation on a Global Scale." In this talk, Dr. Sill reviews the history of cloud and grid computing, the formation and charter description for Phases I and II of the US National Institute of Standards and Technology (NIST) "SAJACC" working group, and brings the discussion up to date with an overview of current "DevOps"-oriented cloud standards and software interoperability hands-on testing efforts worldwide.
An intro to explainable AI for polar climate scienceZachary Labe
26 March 2024…
GFDL Polar Climate Interest Group (Presentation): An intro to explainable AI for polar climate science, NOAA GFDL, Princeton, NJ.
References:
Labe, Z.M. and E.A. Barnes (2022), Comparison of climate model large ensembles with observations in the Arctic using simple neural networks. Earth and Space Science, DOI:10.1029/2022EA002348, https://doi.org/10.1029/2022EA002348
Labe, Z.M. and E.A. Barnes (2021), Detecting climate signals using explainable AI with single-forcing large ensembles. Journal of Advances in Modeling Earth Systems, DOI:10.1029/2021MS002464, https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2021MS002464
The document provides an overview of the Pacific Research Platform (PRP) and discusses its role in connecting researchers across institutions and enabling new applications. It summarizes the PRP's key components like Science DMZs, Data Transfer Nodes (FIONAs), and use of Kubernetes for container management. Several examples are given of how the PRP facilitates high-performance distributed data analysis, access to remote supercomputers, and sensor networks coupled to real-time computing. Upcoming work on machine learning applications and expanding the PRP internationally is also outlined.
The document discusses the goals and activities of the NLANR/MNA Measurement and Network Analysis group. The group aims to characterize high performance computing networks through two main projects: the Active Measurement Project (AMP) and the Passive Measurement and Analysis Project (PMA). AMP conducts round-trip time, packet loss, topology and throughput measurements between over 125 monitors. PMA passively captures network traffic to study workload profiles up to OC48 speeds. The group also collaborates internationally by placing monitors in other countries and working with research networks around the world.
The document discusses the Square Kilometre Array (SKA) radio telescope project. It provides background on the SKA science drivers and vision to build the largest radio telescope in the world over multiple phases and sites. It describes the SKA organization, design consortia working on different components, notional data flow, and use of agile practices for developing the large amount of software and systems required. The document advocates for taking an agile approach to systems engineering to provide value throughout the telescope's design, construction, and operations.
LSST/DM: Building a Next Generation Survey Data Processing SystemMario Juric
The document describes the Large Synoptic Survey Telescope (LSST) project. Key points:
- LSST will be an 8.4-meter telescope that will image the entire visible sky every few nights over 10 years to conduct a wide, deep, and fast optical survey.
- The goal is to produce catalogs and images of tens of billions of celestial objects that will be made freely available to the public and scientific community.
- The science goals include mapping the Milky Way, discovering transient objects like supernovae, studying dark energy and dark matter, and conducting a census of the solar system.
- Construction is set to begin in mid-2014 after receiving funding approval, with first light expected around 20
This document is a seminar report submitted by Albert Cleetus for their dual degree MCA. It discusses Project Soli, a technology developed by Google's ATAP division that uses radar to enable touchless gestures. The report provides background on Google and ATAP, and describes how Project Soli's miniature radar sensor is able to detect hand motions and gestures without contact. It explains how the sensor works using radar technology, and discusses the algorithms and applications of Soli, such as controlling devices with gestures.
Toward a Global Interactive Earth Observing CyberinfrastructureLarry Smarr
The document discusses the need for a new generation of cyberinfrastructure to support interactive global earth observation. It outlines several prototyping projects that are building examples of systems enabling real-time control of remote instruments, remote data access and analysis. These projects are driving the development of an emerging cyber-architecture using web and grid services to link distributed data repositories and simulations.
Metrics for Effort/Cost Estimation of Mobile apps developmentGemma Catolino
This document discusses metrics for estimating the effort and cost of developing mobile apps. It proposes defining a set of early metrics that can be extracted before full development begins. These early metrics are mapped to guidelines for estimating Cosmic Function Points (CFP). An empirical study evaluates the accuracy of CFP estimations based on the early metrics by comparing them to actual CFP values for 13 mobile apps. The results show the early estimations were reasonably close to the actual values, with mean magnitude relative error of 0.2 and prediction of actual values within 25% for 61% of apps. Future work involves additional validation with companies and gathering more project data.
The Academic and R&D Sectors' Current and Future Broadband and Fiber Access N...Larry Smarr
05.02.23
Invited Access Grid Talk
MSCMC FORUM Series
Examining the National Vision for Global Peace and Prosperity
Title: The Academic and R&D Sectors' Current and Future Broadband and Fiber Access Needs for US Global Competitiveness
Arlington, VA
This document summarizes an update on IPv6 activity in CERNET2 that was presented on March 5, 2015. It discusses that CERNET2 has had a pure IPv6 backbone since 2003 connecting over 600 universities. IPv6 related research and experiments are conducted on CERNET2. Traffic statistics from January 2015 show backbone traffic exceeding 40Gbps and 10Gbps in some locations. The document also discusses challenges with scaling the DNS root server system and efforts to address this through techniques like anycasting and expanding the number of root server operators.
FLARE Final Presentation (no animations)Graeme Ramsey
Team FLARE proposes a CubeSat mission to investigate the flyby anomaly experienced by spacecraft performing Earth flybys. The mission would involve launching two 6U CubeSats on a rideshare as secondary payloads. A SHERPA vehicle would deploy the CubeSats and provide excess velocity for hyperbolic flybys of Earth. During flybys, the CubeSats would track their velocity using GPS and ground stations would measure Doppler shifts. The goal is to obtain at least 4 data points to characterize the anomaly. Requirements include measuring velocity changes of 0.1 mm/s accuracy during closest approach and performing tandem flybys.
Which transient when? - A utility function for transient follow-up schedulingTim Staley
Next-generation astronomical facilities such as the LSST and the SKA will be game-changers, allowing us to observe the entire southern sky and track changing sources in near real-time. Keeping up with their alert-streams represents a significant challenge - how do we make the most of our limited telescope resources to follow up 100000 sources per night?
The biggest problem here is classification - we want to find the really interesting transients and spend our time watching those. However, classification based on the initial survey data can only get you so far - we'll need to use robotic follow-up telescopes for rapid-response observations, to give us more information on the most promising targets. To get the most science done, we need to be smart about scheduling that follow-up.
We're exploring use of active learning algorithms (AKA Bayesian Decision Theory) to solve this problem, building a framework that allows for iterative refinement of a probabilistic classification state. Because there are no algorithms that fit this problem 'out-of-the-box', we've built our own analysis framework using the emcee and PyMultiNest packages to power the underlying Bayesian inference. I'll give an overview of how our proposed system fits into the wider context of an automated astronomy ecosystem, then give a gentle introduction to Bayesian Decision Theory and how it can be applied to this problem.
From gamma-ray to radio: Multi-wavelength follow-up in the first five minutesTim Staley
This document summarizes recent work on fast radio follow-up of transient sources and multi-wavelength classification. It discusses three key areas: 1) examples of fast radio follow-up of gamma-ray bursts and stellar flares, 2) using radio and optical measurements to classify transients, and 3) the need to automate "transient triage" to efficiently prioritize follow-up observations across different facilities. The presenter argues that distributing information about new transients via VOEvents can help the community automate real-time classification and prioritization of targets.
ESCAPE Kick-off meeting - FAIR, Facility for Antiproton and Ion Research (Feb...ESCAPE EU
The Facility for Antiproton and Ion Research (FAIR) project in Darmstadt, Germany is progressing well with construction of accelerators and civil works. FAIR will provide unique beams of antiprotons, ions, and rare isotopes for research in nuclear physics, astrophysics, plasma physics, and applied sciences. Four major international collaborations will perform experiments at FAIR to study quantum chromodynamics, the origin of elements in the universe, and neutron star mergers. Computing and data challenges are significant due to very high data rates, and FAIR hopes to benefit from technologies developed in the European Open Science Cloud project.
LambdaGrids--Earth and Planetary Sciences Driving High Performance Networks a...Larry Smarr
05.02.04
Invited Talk to the NASA Jet Propulsion Laboratory
Title: LambdaGrids--Earth and Planetary Sciences Driving High Performance Networks and High Resolution Visualizations
Pasadena, CA
Bo Peng, NAOC / CAS: Long March of FAST DreamersILOAHawaii
This document summarizes the history and development of the Five-hundred-meter Aperture Spherical radio Telescope (FAST) in China. It discusses:
1) The origins and formation of the FAST concept in the 1990s with early technology demonstrations and feasibility studies.
2) Key technology research and demonstrations in the 2000s to prove the viability of FAST, including the active reflector system and cable-driven feed support structure.
3) The construction and commissioning of FAST from 2008-2019, which included overcoming challenges during the 5.5 year building process.
4) The science capabilities of FAST such as its ability to detect thousands of new pulsars and galaxies, marking the start of
The document discusses the National Research Platform (NRP), specifically the 4th NRP workshop. It provides an overview of NRP's Nautilus, a multi-institution hypercluster connected by optical networks across 25 partner campuses. In 2022, Nautilus comprised ~200 computing nodes and 4000TB of rotating storage. The document highlights several large research projects from different domains that utilize Nautilus, including particle physics, telescopes, biomedical applications, earth sciences, and visualization. These applications demonstrate how Nautilus enables data-intensive and collaborative multi-campus research at national scale.
This document discusses how clouds are used in high energy physics research. It describes how clouds provide computing resources for experiments like the Large Hadron Collider. Clouds help process massive amounts of data from particle collisions and allow global collaboration between researchers. They also help preserve data and software from past experiments for long-term analysis. Clouds enable high energy physics to further understanding of fundamental questions about the universe.
The document summarizes a presentation given at the MWSG Meeting at Stanford Linear Accelerator Laboratory on June 5-6, 2006. The presentation discusses the Privilege Project, including its goals of delivering finer-grained authorization of processing resources, key achievements in deploying the authorization infrastructure, and current and future plans such as simplifying the architecture and extending privilege enforcement to network management.
Cloud Testbeds for Standards Development and InnovationAlan Sill
Invited talk given at the 2014 Chip-to-Cloud Security Forum "Advances in Securing Embedded, Mobile and Cloud Services and Ecosystems" in the seminar session on "Procurement, SLAs, and Standardisation on a Global Scale." In this talk, Dr. Sill reviews the history of cloud and grid computing, the formation and charter description for Phases I and II of the US National Institute of Standards and Technology (NIST) "SAJACC" working group, and brings the discussion up to date with an overview of current "DevOps"-oriented cloud standards and software interoperability hands-on testing efforts worldwide.
An intro to explainable AI for polar climate scienceZachary Labe
26 March 2024…
GFDL Polar Climate Interest Group (Presentation): An intro to explainable AI for polar climate science, NOAA GFDL, Princeton, NJ.
References:
Labe, Z.M. and E.A. Barnes (2022), Comparison of climate model large ensembles with observations in the Arctic using simple neural networks. Earth and Space Science, DOI:10.1029/2022EA002348, https://doi.org/10.1029/2022EA002348
Labe, Z.M. and E.A. Barnes (2021), Detecting climate signals using explainable AI with single-forcing large ensembles. Journal of Advances in Modeling Earth Systems, DOI:10.1029/2021MS002464, https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2021MS002464
The document provides an overview of the Pacific Research Platform (PRP) and discusses its role in connecting researchers across institutions and enabling new applications. It summarizes the PRP's key components like Science DMZs, Data Transfer Nodes (FIONAs), and use of Kubernetes for container management. Several examples are given of how the PRP facilitates high-performance distributed data analysis, access to remote supercomputers, and sensor networks coupled to real-time computing. Upcoming work on machine learning applications and expanding the PRP internationally is also outlined.
The document discusses the goals and activities of the NLANR/MNA Measurement and Network Analysis group. The group aims to characterize high performance computing networks through two main projects: the Active Measurement Project (AMP) and the Passive Measurement and Analysis Project (PMA). AMP conducts round-trip time, packet loss, topology and throughput measurements between over 125 monitors. PMA passively captures network traffic to study workload profiles up to OC48 speeds. The group also collaborates internationally by placing monitors in other countries and working with research networks around the world.
The document discusses the Square Kilometre Array (SKA) radio telescope project. It provides background on the SKA science drivers and vision to build the largest radio telescope in the world over multiple phases and sites. It describes the SKA organization, design consortia working on different components, notional data flow, and use of agile practices for developing the large amount of software and systems required. The document advocates for taking an agile approach to systems engineering to provide value throughout the telescope's design, construction, and operations.
LSST/DM: Building a Next Generation Survey Data Processing SystemMario Juric
The document describes the Large Synoptic Survey Telescope (LSST) project. Key points:
- LSST will be an 8.4-meter telescope that will image the entire visible sky every few nights over 10 years to conduct a wide, deep, and fast optical survey.
- The goal is to produce catalogs and images of tens of billions of celestial objects that will be made freely available to the public and scientific community.
- The science goals include mapping the Milky Way, discovering transient objects like supernovae, studying dark energy and dark matter, and conducting a census of the solar system.
- Construction is set to begin in mid-2014 after receiving funding approval, with first light expected around 20
This document is a seminar report submitted by Albert Cleetus for their dual degree MCA. It discusses Project Soli, a technology developed by Google's ATAP division that uses radar to enable touchless gestures. The report provides background on Google and ATAP, and describes how Project Soli's miniature radar sensor is able to detect hand motions and gestures without contact. It explains how the sensor works using radar technology, and discusses the algorithms and applications of Soli, such as controlling devices with gestures.
Toward a Global Interactive Earth Observing CyberinfrastructureLarry Smarr
The document discusses the need for a new generation of cyberinfrastructure to support interactive global earth observation. It outlines several prototyping projects that are building examples of systems enabling real-time control of remote instruments, remote data access and analysis. These projects are driving the development of an emerging cyber-architecture using web and grid services to link distributed data repositories and simulations.
Metrics for Effort/Cost Estimation of Mobile apps developmentGemma Catolino
This document discusses metrics for estimating the effort and cost of developing mobile apps. It proposes defining a set of early metrics that can be extracted before full development begins. These early metrics are mapped to guidelines for estimating Cosmic Function Points (CFP). An empirical study evaluates the accuracy of CFP estimations based on the early metrics by comparing them to actual CFP values for 13 mobile apps. The results show the early estimations were reasonably close to the actual values, with mean magnitude relative error of 0.2 and prediction of actual values within 25% for 61% of apps. Future work involves additional validation with companies and gathering more project data.
The Academic and R&D Sectors' Current and Future Broadband and Fiber Access N...Larry Smarr
05.02.23
Invited Access Grid Talk
MSCMC FORUM Series
Examining the National Vision for Global Peace and Prosperity
Title: The Academic and R&D Sectors' Current and Future Broadband and Fiber Access Needs for US Global Competitiveness
Arlington, VA
This document summarizes an update on IPv6 activity in CERNET2 that was presented on March 5, 2015. It discusses that CERNET2 has had a pure IPv6 backbone since 2003 connecting over 600 universities. IPv6 related research and experiments are conducted on CERNET2. Traffic statistics from January 2015 show backbone traffic exceeding 40Gbps and 10Gbps in some locations. The document also discusses challenges with scaling the DNS root server system and efforts to address this through techniques like anycasting and expanding the number of root server operators.
FLARE Final Presentation (no animations)Graeme Ramsey
Team FLARE proposes a CubeSat mission to investigate the flyby anomaly experienced by spacecraft performing Earth flybys. The mission would involve launching two 6U CubeSats on a rideshare as secondary payloads. A SHERPA vehicle would deploy the CubeSats and provide excess velocity for hyperbolic flybys of Earth. During flybys, the CubeSats would track their velocity using GPS and ground stations would measure Doppler shifts. The goal is to obtain at least 4 data points to characterize the anomaly. Requirements include measuring velocity changes of 0.1 mm/s accuracy during closest approach and performing tandem flybys.
Which transient when? - A utility function for transient follow-up schedulingTim Staley
Next-generation astronomical facilities such as the LSST and the SKA will be game-changers, allowing us to observe the entire southern sky and track changing sources in near real-time. Keeping up with their alert-streams represents a significant challenge - how do we make the most of our limited telescope resources to follow up 100000 sources per night?
The biggest problem here is classification - we want to find the really interesting transients and spend our time watching those. However, classification based on the initial survey data can only get you so far - we'll need to use robotic follow-up telescopes for rapid-response observations, to give us more information on the most promising targets. To get the most science done, we need to be smart about scheduling that follow-up.
We're exploring use of active learning algorithms (AKA Bayesian Decision Theory) to solve this problem, building a framework that allows for iterative refinement of a probabilistic classification state. Because there are no algorithms that fit this problem 'out-of-the-box', we've built our own analysis framework using the emcee and PyMultiNest packages to power the underlying Bayesian inference. I'll give an overview of how our proposed system fits into the wider context of an automated astronomy ecosystem, then give a gentle introduction to Bayesian Decision Theory and how it can be applied to this problem.
From gamma-ray to radio: Multi-wavelength follow-up in the first five minutesTim Staley
This document summarizes recent work on fast radio follow-up of transient sources and multi-wavelength classification. It discusses three key areas: 1) examples of fast radio follow-up of gamma-ray bursts and stellar flares, 2) using radio and optical measurements to classify transients, and 3) the need to automate "transient triage" to efficiently prioritize follow-up observations across different facilities. The presenter argues that distributing information about new transients via VOEvents can help the community automate real-time classification and prioritization of targets.
Tunable algorithms for transient follow-upTim Staley
This document discusses an approach for optimizing follow-up observations of astronomical transients using Bayesian decision theory. The approach uses transient lightcurve models, telescope noise models, and prior information to calculate the information content of potential future observations. Observations are prioritized based on their expected information content to efficiently classify transients. The presenter outlines the necessary components for a software system to implement this approach, including lightcurve generation, data fitting, calculating confusion matrices, and an observation scheduler. Future work involves integrating these components and testing the system in realistic simulations.
A brief introduction to version control systemsTim Staley
This is a lunchtime talk I gave to the Southampton astronomy department. The aim was to make them aware of version control systems and when they might need to use them.
An invited talk given to an audience interested in using lucky imaging for microlensing studies. I tried to give an overview of where the challenges lie in getting good science data using lucky imaging techniques.
Lucky imaging - Life in the visible after HSTTim Staley
This document discusses using lucky imaging techniques to improve spatial resolution in astronomy. Standard lucky imaging can select the best frames from thousands taken at high speed to achieve near-diffraction limited resolution on ground-based telescopes. When combined with adaptive optics, lucky imaging can further improve resolution and help expand the sky coverage of AO. Potential applications include exoplanet imaging, resolving close binary stars, and probing binarity in globular cluster cores.
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 binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...AbdullaAlAsif1
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
1. Fast radio followup of GRBs
Tim Staley
University of Southampton
SKA-KAT Offices, Capetown, November 2012
WWW: 4pisky.org , timstaley.co.uk
2. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
COLLABORATORS
Southampton: Rene Breton, Rob Fender, et
al.
Cambridge: David Titterington, Keith
Grainge, Guy Pooley.
Amsterdam: John Swinbank, Alexander
van der Horst, Antonia Rowlinson.
Capetown: Richard Armstrong et al.
3. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
OUTLINE
THE 4 PI SKY PROJECT
A QUICK INTRODUCTION TO GRBS
SYSTEM
RESULTS
FUTURE WORK
4. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
OUTLINE
THE 4 PI SKY PROJECT
A QUICK INTRODUCTION TO GRBS
SYSTEM
RESULTS
FUTURE WORK
5. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
A LITTLE BACKGROUND
A few major producers of transient alerts
dominate:
NASA (Swift, Fermi, Integral, ...) —
Gamma-ray, X-ray
6. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
A LITTLE BACKGROUND
A few major producers of transient alerts
dominate:
NASA (Swift, Fermi, Integral, ...) —
Gamma-ray, X-ray
Catalina Real-Time Transient Survey
(CRTS) — Optical (1 / 2 colours)
7. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
A LITTLE BACKGROUND
A few major producers of transient alerts
dominate:
NASA (Swift, Fermi, Integral, ...) —
Gamma-ray, X-ray
Catalina Real-Time Transient Survey
(CRTS) — Optical (1 / 2 colours)
Palomar Transient Factory (PTF) — Optical
( 1 / 2 colours, spectroscopic followup)
8. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
MANUAL RADIO FOLLOW UP OF
GRBS
Data from Chanda and Frail, 2012. ∼ 8GHz.
9. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
4 PI SKY
4 Pi Sky is a collaborative project aimed at
radio transient science.
(Or to put it another way: you build the
telescopes, we’ll build the network.)
Developing discovery and follow up tools.
10. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
LOFAR (NETHERLANDS)
11. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
KAT7 / MEERKAT (SOUTH AFRICA)
12. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
AMI-LA (UK)
13. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
OPTICAL FOLLOWUP: LT AND PT5M
14. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
OPTICAL FOLLOWUP: LT AND PT5M
(LA PALMA)
15. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
A PROTOTYPE PROJECT: SWIFT-AMI
16. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
A PROTOTYPE PROJECT: SWIFT-AMI
15 GHz central frequency, 4.5 GHz
bandwidth
5.5 arcmin (∼ 0.1◦
) primary beam (FoV)
30 arcsec synthesised beam (PSF FWHM)
≈ 0.1mJy noise level, 1 hr image
Looking for a new role.
17. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
GRBS FROM SWIFT BAT
Good targets for AMI: ≈ 3 arcminute initial
localization.
18. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
GRBS FROM SWIFT BAT
Good targets for AMI: ≈ 3 arcminute initial
localization.
Once every 3 days or so.
Now publishing as
VOEvents.
19. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
GRBS FROM SWIFT BAT
Good targets for AMI: ≈ 3 arcminute initial
localization.
Once every 3 days or so.
Now publishing as
VOEvents.
GRBs are interesting!
20. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
OUTLINE
THE 4 PI SKY PROJECT
A QUICK INTRODUCTION TO GRBS
SYSTEM
RESULTS
FUTURE WORK
21. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
THE RELATIVISTIC FIREBALL MODEL
M. Rees and P. Meszaros, 1992; W. Zhang and S.
Woosley, 2004.
22. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
SYNCHROTRON AFTERGLOW
Chandra and Frail, 2012.
23. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
SYNCHROTRON AFTERGLOW
Modelling allows us to estimate the energy
released, and place constraints on the density of
the circumstellar medium.
Chandra and Frail, 2012.
24. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
GAMMA RAY BURST FLAVOURS
‘Gamma Ray Burst’ is a purely
observational term — says nothing about
the progenitor.
But we tend to refer to the two most
common progenitor classes as ‘GRBs’ out of
convenience.
25. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
COMMON OR GARDEN LONG GRBS
Image credit: D. Berry
26. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
COMMON OR GARDEN LONG GRBS
T90 > 2 seconds.
E ∼ 1051
ergs.
∼ 90% of GRBs.
Sometimes observe a supernova in days
after the GRB — progenitors thought to be
giant stars.
27. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
COMMON OR GARDEN LONG GRBS
28. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
SHORT GRBS
L. Rezzolla et al 2011
29. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
OTHER GRB TRIGGERS
Soft Gamma Repeaters / Magnetars
Flare stars
AGN flares
(Generally not referred to as ‘GRBs’)
30. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
EARLY RADIO EMISSION?
(Soderberg 2006)
31. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
EARLY RADIO EMISSION?
(Bannister 2012)
32. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
PRIOR RADIO OBSERVATIONS
Data from Chanda and Frail, 2012. ∼ 8GHz.
33. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
PRIOR RADIO OBSERVATIONS
Data from Chanda and Frail, 2012.
34. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
PRIOR RADIO OBSERVATIONS
(Excluding Dave Green et al. 1995)
35. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
OUTLINE
THE 4 PI SKY PROJECT
A QUICK INTRODUCTION TO GRBS
SYSTEM
RESULTS
FUTURE WORK
36. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
SYSTEM COMPONENTS
4 Pi Sky
SWIFT
BAT
GCN Comet
pysovo
AMI
Data
reduction
TraP
37. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
FASTER RESPONSE TIMES
38. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
SYSTEM TIMESCALES BREAKDOWN
4 Pi Sky
SWIFT
BAT
GCN Comet
pysovo
AMI
Data
reduction
TraP
BAT:
13-30
sec
GCN:
~2 sec
GCN ->
AMI:
~5 sec Slew:
4 min
39. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
OUTLINE
THE 4 PI SKY PROJECT
A QUICK INTRODUCTION TO GRBS
SYSTEM
RESULTS
FUTURE WORK
40. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
EARLY CONSTRAINTS
GRB
ID
Hours
since
burst
3σ
upper
limit
(mJy)
GRB120305A 0.07 0.316
GRB120308A 0.08 0.164
GRB120311A 0.07 0.230
GRB120320A 14.32 0.196
GRB120324A 0.07 0.218
GRB120326A 7.37 0.430
GRB120403A 7.48 0.238
GRB120404A 11.32 0.223
GRB120422A 6.41 0.616
GRB120514A 50.91 0.211
GRB120521C 0.24 0.302
41. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
GRB120326A LIGHTCURVE
0 5 10 15 20 25 30 35
Time since BAT trigger (days)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
Fluxdensity(mJy)
GRB120326A
42. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
SOFTWARE TOOLS DEVELOPED
Comet: A VOEvent node. (John Swinbank)
Pysovo: VOEvent handling / triggering
tools (TS).
AMI-casapy-reduce: Meta-pipeline for
automated imaging of AMI data (TS).
TraP: Transients detection and classification
pipeline (LOFAR-TKP).
43. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
SOFTWARE TOOLS DEVELOPED:
TKP-WEB
44. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
OUTLINE
THE 4 PI SKY PROJECT
A QUICK INTRODUCTION TO GRBS
SYSTEM
RESULTS
FUTURE WORK
45. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
FULLY AUTOMATED DATA
REDUCTION
4 Pi Sky
SWIFT
BAT
GCN Comet
pysovo
AMI
Data
reduction
TraP
46. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
LOFAR-UK: TIME MACHINE
4 Pi Sky
SWIFT
BAT
GCN Comet
pysovo
AMI
Data
reduction
TraP
LOFAR-
UK
FERMI
47. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
LOFAR-UK: TIME MACHINE
LOFAR stations include ’transient buffer
boards’, these allow us a ’look-back’
functionality akin to BBC nature’s rolling buffer
cameras, e.g.
https://www.youtube.com/watch?v=
n-t2ayKadD0
48. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
NETWORKING
4 Pi Sky
SWIFT
BAT
GCN Comet
pysovo
AMI
Data
reduction
TraP
LOFAR-
UK
FERMI
Southern
hemisphere
?
???
Comet
49. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
WIDER ADOPTION OF VOEVENTS?
GRB notices could be easily automated.
50. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
WIDER ADOPTION OF VOEVENTS?
GRB notices could be easily automated.
We need this for smart automated
follow-up of GRBs!
51. THE 4 PI SKY PROJECT A QUICK INTRODUCTION TO GRBS SYSTEM RESULTS FUTURE WORK
SUMMARY
It’s a great time to be a radio astronomer.
Doubly so if you’re into transients.
Transient software is out there, talk to us if
you’re interested!