Aten Business Considerations
and 1 collaborator
- What do you know about your industry?
- What do you know about your competition?
- Who is your target customer and what do you know about them (i.e. demographics, buying patterns)?
- What makes you different from your competition that actually matters to your target customer?
- What is your unique value proposition?
- What is your big bold brand promise?
- What is your overall sales process?
- What are the specific steps in your process?
- How will you achieve the optimal sales cycle?
- How will you produce the product and/or deliver the service?
- What are the logistics?
- What business process will you employ?
- What facility, equipment, and other resource needs are involved?
- How will you assure and measure quality and customer satisfaction?
- Who are the key players?
- What are their backgrounds and qualifications?
- What are their specific roles?
- How will the business be organized (org. chart)?
- What personnel are needed now to accomplish current goals?
- How will the number of people needed change with the growth of the business?
- Start-up costs, if applicable
- Revenue projections with detailed assumptions
- Three- to five-year cash-flow projections
- Three- to five-year balance sheet projections
- Sources and uses of funds if you are raising capital
Notes on Mixing Length Theory
and 1 collaborator
Anatomy of Column Density PDF
and 3 collaborators
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Inferring the Veiling Spectrum of LkCa 15
Linking Visualization and Understanding in Astronomy
This post accompanies a talk by the same name and author, presented at the 223rd Meeting of the American Astronomical Society, at 11:40 AM on January 6, 2014. Talk slides will be online after noon on January 6 at http://projects.iq.harvard.edu/seamlessastronomy/presentations.
In 1610, when Galileo pointed his small telescope at Jupiter, he drew sketches to record what he saw. After just a few nights of observing, he understood his sketches to be showing moons orbiting Jupiter. It was the visualization of Galileo's observations that led to his understanding of a clearly Sun-centered solar system, and to the revolution this understanding then caused. Similar stories can be found throughout the history of Astronomy, but visualization has never been so essential as it is today, when we find ourselves blessed with a larger wealth and diversity of data, per astronomer, than ever in the past.
In this talk, I will focus on how modern tools for interactive “linked-view” visualization can be used to gain insight. Linked views, which dynamically update all open graphical displays of a data set (e.g. multiple graphs, tables and/or images) in response to user selection, are particularly important in dealing with so-called “high-dimensional data.” These dimensions need not be spatial, even though, e.g. in the case of radio spectral-line cubes or optical IFU data), they often are. Instead, “dimensions” should be thought of as any measured attribute of an observation or a simulation (e.g. time, intensity, velocity, temperature, etc.). The best linked-view visualization tools allow users to explore relationships amongst all the dimensions of their data, and to weave statistical and algorithmic approaches into the visualization process in real time.
Particular tools and services will be highlighted in this talk, including: Glue (glueviz.org), the ADS All Sky Survey (adsass.org), WorldWide Telescope (worldwidetelescope.org), yt (yt-project.org), d3po (d3po.org), and a host of tools that can be interconnected via the SAMP message-passing architecture.
The talk will conclude with a discussion of future challenges, including the need to educate astronomers about the value of visualization and its relationship to astrostatistics, and the need for new technologies to enable humans to interact more effectively with large, high-dimensional data sets.
Authorea 编辑 LateX 的在线编辑器
and 1 collaborator
KIC 9246715: The Double Red Giant Eclipsing Binary With Odd Oscillations
and 9 collaborators
Visualizing Small Satellite Launches Worldwide
Goal: Create an interface that allows a users to visualize data on the history and future of global small satellite missions
Nanosatellites Database by Erik. (2016). Nanosatellite Database [Data file]. Retrieved 20 April, 2016 from http://www.nanosats.eu/.
Data Hub. (2012). Countries Continents [Data file]. Retreived 13 May, 2016 from
CubeSats and other small classes of satellite  are opening up new opportunities for space-based research. Tiny, relatively simple to build, and economical to launch, it’s not hard to see why these platforms are so appealing to people with an interest in astronomy, astrophysics, and meteorology just to name a few disciplines. Educational small satellites can even be flown for free on rockets planned for upcoming launches through NASA’s CubeSat Launch Initiative , making them one of the most accessible ways to prototype experimental instrumentation and study the cosmos. Unfortunately though, most small satellite data remains on private hard drives or in non-standard formats, maintained by groups that do not have the time or resources to publish and disseminate that data as there are no designated public repositories or standards to serve this function. This means that a wealth of data, which could be the foundation for new innovations and discoveries, is basically inaccessible. Worsening this problem, private companies are flying small sats with the intention of putting that data into proprietary formats and selling it back to researchers at a profit; these companies currently have little competition from the public or non-profit sector.
To address these issues, myself and a multidisciplinary team at the Harvard-Smithsonian Center for Astrophysics is working to create an open source, ready-to-use, small satellite data system that will allow researchers to reduce time spent on developing ad hoc systems and invest more time in the mission and instrumentation. We’re calling it The Space Library . With an open solution like the one my team is proposing, educators and the public will gain access to live space data that will be ripe for current and future citizen science projects. Researchers in astronomy and astrophysics will also be more capable of building on the experimental work that small satellites enable.
On my website  I have hosted a few interactive data visualizations to help my team make the case for the importance of funding The Space Library.
I built the visualizations on my website using R (packages: dplyr, plyr, RColorBrewer) and the R API for Plotly , a browser-based charting library built on plotly.js. The code I used to clean the nanosatellites database data is available on GitHub here  along with the code I used to create the plots themselves . To generate the embed codes used on this site I pushed resulting plots to my personal account on Plotly .
I wanted to illustrate the increasingly global impact of small satellites without creating misleading graphics that hid the drastic skew toward North America and the United States in particular; to do this I created plots that an end-user can interact with. A person can adjust the scale, zoom, subset, pan and more using the toolbar at the top of each plot, which is made visible by hovering the cursor over that area. A person can also click on the legends to deselect and select data as well as using the plots selection features to alter the presentation. I did not include in these plots any launches that did not have specified dates (TBD) or for which the launches were cancelled.
The Pressure Structure of Molecular Clouds
and 2 collaborators
Abstract. Broadly, we seek to understand the role of pressure in star forming molecular clouds. We examine molecular line data of the Perseus region from the COMPLETE survey alongside radiative transfer-processed ‘observations’ of the turbulent simulations of S. Offner to try to (1) understand to what extent we can actually measure pressure through observations, and (2) study how pressure changes within a cloud’s substructure.