In the last portion of _Sidereus Nuncius_, Galileo reported his discovery of FOUR OBJECTS that appeared to form a straight line of stars near JUPITER. The first night, he witnessed a line of three little stars close to Jupiter parallel to the ecliptic; the following nights brought different arrangements and another star into his view, totaling four stars around Jupiter. Throughout the text, Galileo gave illustrations of the relative positions of Jupiter and its apparent companion stars as they appeared nightly from late January through early March 1610. The fact that they changed their positions relative to Jupiter from night to night, but always appeared in the same straight line near Jupiter, brought Galileo to deduce that they were four bodies in orbit around Jupiter. On January 11 after 4 nights of observation he wrote: “I therefore concluded and decided unhesitatingly, that there are three stars in the heavens moving about Jupiter, as Venus and Mercury round the Sun; which at length was established as clear as daylight by numerous subsequent observations. These observations also established that there are not only three, but four, erratic sidereal bodies performing their revolutions round Jupiter...the revolutions are so swift that an observer may generally get differences of position every hour.”
Convex homomorphisms and high-\(T_c\) spin flux
This is a collection of undergrad-level order-of-magnitude problems and their solutions
Transforming Scholarly Communication
The Transforming Scholarly Communication workshop was largely the brainchild of Lee Dirks, of the Microsoft Research "Connections" group. Lee passed away in August 2012, and we hope that all of the good outcomes of this workshop serve forever as a tribute to Lee.
What to Keep and How to Analyze It: Data Curation and Data Analysis with Multiple Phases
Overview This open document is being used to describe and record the events at the Radcliffe Exploratory Seminar on Data Curation and Analysis, to be held at the Radcliffe Institute for Advanced Study, May 9-10 2013. This Google Drive Directory should be used to deposit all files contributed by participants before and during the meeting. (Click "Open in Drive" on your browser to make a new folder, e.g. with your name as its name.) This Google Doc is used for collaborative real-time note-taking. ABSTRACT: Rapid advances in technology have allowed us to collect vast amounts of data in myriad fields and forms, but our ability to manage and analyze these data has not kept pace. As a result, the amount of data collected far exceeds what can be analyzed and, often, what can be archived. These issues only become more pressing as data collection accelerates. Astronomers and astrophysicists, for example, collect terabytes of data per night; the phrase “drowning in a data tsunami” is increasingly used to describe this situation. The issues of what to keep and what to distribute are surprisingly complex, even when we put aside technological issues such as long-term storage and retrieval. A central challenge is the fundamental conflict between reducing the size of data and preserving information for future scientific inquires and statistical analyses. Complicating matters further, the parties/teams involved in the entire data collection, curation, and analysis process often have only limited communication with each other owing to the sequential nature of this process. This seminar brings together a core group of leading experts and emerging scholars in information and natural sciences to discuss, debate, and design principles and strategies to address this grand challenge, which increasingly affects almost every aspect of science and society. GOAL: By gathering experts from information and natural sciences, we aim to start building a set of principles and methods that will allow us to understand such problems and to provide better preprocessing, analyses, and data preservation, especially in the context of the natural sciences. The ultimate goals of this research include providing methods for assessing the validity of such collaborative analyses, guidance on statistically-principled preprocessing, and a rich new theory of statistical learning and inference with multiple parties. We believe that this collaboration will simultaneously sow the seeds for innovative mathematical theory and shed light on directly usable guidelines for the construction and curation of scientific databases.
Astronomical Data Curation and Analysis: What has worked and what has not?
Abstract. Here we will explore various aspects of long term and high volume data curation and analysis. What has worked in Astronomy? What has not? What does it mean to say something has worked? What do astronomers think? What are the financial, social, technical, and practical issues that limit how data can be used in the future?
The Bones of the Milky Way
Instructions for Co-Authors
The full file repository for this paper is at a shared Google Drive directory, https://drive.google.com/#folders/0BxIRxiTe1u6BcGlnUGt2ckU1Vms, shared with all co-authors.
NOTE: The “aas” (press conference) slides at https://drive.google.com/#folders/0BxIRxiTe1u6BRklQRzlUaUNuUUU give a better idea of where this draft is going than the text/figures here as of now... AG will update all by c.1/1/13!
The Mendeley Library “Nessie and Friends” used to house references used in this work, at: http://www.mendeley.com/groups/2505711/nessie-and-friends/, but since Authorea works more directly with ADS links, we’ll use the ADS Private Library at http://adsabs.harvard.edu/cgi-bin/nph-abs_connect?library&libname=Nessie+and+Friends&libid=488e32b08b instead. The Mendeley library is the source of the nessie.bib file in the “Bibliography” folder here on Authorea, but I am not sure how to get the ADS references out as a .bib file. xxAlberto?xx
The Glue software used to intercompare data sets used in this work is online through: http://glue-viz.readthedocs.org/en/latest/
We are using Authorea.com as an experimental platform to compile this paper. The manual steps we will need to take before submission include:
download LaTeX file
modify LaTeX file to use aas macros
insert needed information (e.g. about authors, running header) into was version of LaTeX manuscript
extract needed figures from relevant folders here & bundle them with LaTeX manuscript & macros
create .bib file from ADS Private Library
add .bib file to folder with manuscript & figures
fix in-line referencing so that $\citet$ and $\citep$ commands work