August 14, 2017 — Jeffrey Bryant, Research Programmer, Wolfram|Alpha Scientific Content

Eclipse paths crossing

The upcoming August 21, 2017, total solar eclipse is a fascinating event in its own right. It’s also interesting to note that on April 8, 2024, there will be another total solar eclipse whose path will cut nearly perpendicular to the one this year.

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August 8, 2017 — Jeffrey Bryant, Research Programmer, Wolfram|Alpha Scientific Content

Eclipse illustrations with the Wolfram Language

On August 21, 2017, an event will happen across parts of the Western Hemisphere that has not been seen by most people in their lifetimes. A total eclipse of the Sun will sweep across the face of the United States and nearby oceans. Although eclipses of this type are not uncommon across the world, the chance of one happening near you is quite small and is often a once-in-a-lifetime event unless you happen to travel the world regularly. This year, the total eclipse will be within driving distance of most people in the lower 48 states.

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June 2, 2017 — Michael Gammon, Blog Administrator, Document and Media Systems

We’re always excited to see new books that illustrate applications of Wolfram technology in a wide range of fields. Below is another set of recently published books using the Wolfram Language to explore computational thinking. From André Dauphiné’s outstanding geographical studies of our planet to Romano and Caveliere’s work on the geometric optics that help us study the stars, we find a variety of fields served by Wolfram technology.

Application Books Set 1

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August 26, 2016 — Zach Littrell, Technical Content Writer, Technical Communications and Strategy Group

We are constantly surprised by what fascinating applications and topics Wolfram Language experts are writing about, and we’re happy to again share with you some of these amazing authors’ works. With topics ranging from learning to use the Wolfram Language on a Raspberry Pi to a groundbreaking book with a novel approach to calculations, you are bound to find a publication perfect for your interests.

Getting Started with Wolfram Language and Mathematica for Raspberry Pi, Essentials of Programming in Mathematica, Geospatial Algebraic Computations, Theory and Applications

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April 2, 2015 — Vitaliy Kaurov, Academic Director, Wolfram Science and Innovation Initiatives

Eclipse splash graphic

You may have heard that on March 20 there was a solar eclipse. Depending on where you are geographically, a solar eclipse may or may not be visible. If it is visible, local media make a small hype of the event, telling people how and when to observe the event, what the weather conditions will be, and other relevant details. If the eclipse is not visible in your area, there is a high chance it will draw very little attention. But people on Wolfram Community come from all around the world, and all—novices and experienced users and developers—take part in these conversations. And it is a pleasure to witness how knowledge of the subject and of Wolfram technologies and data from different parts of the world are shared.

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April 13, 2011 — Wolfram Blog Team

Stuart Nettleton, a senior lecturer at the University of Technology, Sydney, knows the significance of the problem he’s examining—he calls it “the biggest problem that we face in the world going forward.” His challenge: to develop a computable general equilibrium (CGE) model that evaluates the effects of global warming on world economies over 150 years.

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March 18, 2011 — Yu-Sung Chang, Technical Communication & Strategy

Last week, the world was shocked by the news of massive earthquakes and devastating tsunamis in Japan. The event is still unfolding and could become one of the most tragic natural disasters in recent history.

Scientific understanding and modeling of complicated physical phenomena and engineering based on such analysis is imperative to prevent unnecessary loss of life from natural disasters. In this post, we’ll explore the science behind earthquakes to better understand why they happen and how we prepare for them.

Note: The dynamic examples in this post were built using Mathematica. Download the Computable Document Format (CDF) file provided to interact with the simulations and further explore the topics.

First, let’s start with locations. The following visualization is created from the U.S. Geological Survey (USGS) database of earthquakes that occurred between 1973 and early 2011 whose magnitudes were over 5. As you can clearly see, the epicenters are concentrated in narrow areas, usually on the boundaries of tectonic plates. In particular, there are severe seismic activities around the Pacific, namely the “Ring of Fire”. Unfortunately, Japan is sitting right in the middle of this highly active area.

Earthquake map

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November 17, 2009 — Wolfram Blog Team

Yu-Feng Lin, a hydrogeologist at the Illinois State Water Survey, is on a mission to tackle a top national research priority using Mathematica. In this video, Lin details why this project could only be done in Mathematica.

Because of the importance of groundwater recharge and discharge in the hydrological cycle, the U.S. National Research Council (NRC) deems research on them to be of critical priority. However, their rates and patterns are so complex that it takes years of study to estimate them.

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April 17, 2009 — Robert Raguet-Schofield, User Interface Group

I’m a GPS addict. I have a handheld GPS, a computer GPS, a GPS phone, two GPS watches, two GPS cameras, and maybe some others. Wherever I go, chances are pretty good I have at least one GPS with me. Anytime I run/bike/hike/walk/ski I keep a record of where I went using GPS. Now that I have all this data I want to make use of it in a meaningful way. Mathematica is a fantastic tool to analyze all my geographic data.

Here’s an example from a recent trail run I did at a nearby park. The data is stored in a GPX (GPS exchange format) file, which is a specific type of XML. We can bring the data into Mathematica using Import.

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September 13, 2007 — Rob Knapp, Kernel Technology

Today’s earthquakes near Sumatra fortunately didn’t lead to a major tsunami. But figuring out when tsunamis will develop is a difficult matter–and an interesting exercise in applied mathematics.

The main phenomenon is the propagation of so-called shallow water waves–water waves whose wavelength is large compared to the depth of the ocean. Those waves satisfy a partial differential equation (PDE) that was figured out in the 1800s. The equation is a nasty nonlinear one–that can’t be solved exactly.

I’ve been working on the numerical differential equation capabilities of Mathematica for more than a decade. Our goal is to automate the solutions of all types of equations–so users just have to enter their equation, and Mathematica then does all the analysis to select and apply the best algorithm.

The shallow-water equations are a good test–that I’m happy to say Mathematica passes with flying colors. One essentially just has to type the equations in, and get the solution, which is then easy to visualize–especially using the new visualization capabilities of Mathematica 6. (Click the image below to see the Mathematica animation.)

Click for Tsunami Animation Exported from Mathematica

Let me explain a little about what’s involved in getting this.

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