analysis

Data Exploration with Glue

by Guest February 2, 2015

Chris Beaumont is a software engineer at Counsyl, and previously a software engineer at Harvard and the Space Telescope Science Institute. Glue began as a side project during Chris’ PhD thesis, and is now being developed to visualize data from the James Webb Space Telescope. We’ve recently released version 0.4 of Glue, a Python-based GUI […]

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A New Way To Search, A New Way To Discover: MAST Discovery Portal Goes Live

by Guest December 30, 2013

This is a guest post by Scott Fleming, an Archive Scientist at Space Telescope Science Institute (STScI). This is the third in a series of posts about MAST, the Mikulski Archive for Space Telescopes. The Mikulski Archive for Space Telescopes (MAST) is pleased to announce that the first release of our Discovery Portal is now […]

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Python Tip: Re-sampling spectra with pysynphot

by Jessica Lu August 12, 2013

This post was inspired by a question from John Johnson. Have you ever wanted to plot a model spectrum at lower resolution? Or compare a model spectrum with an observed spectrum? Have you ever wanted to shift several observed spectra to a common redshift to stack them up? In all these cases, you would need to resample […]

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A resource for fully calibrated NASA data

by Guest July 1, 2013

This is a guest post by Scott Fleming, an Archive Scientist at Space Telescope Science Institute (STScI).  Scott received his PhD from the Univ. of Florida, and was a postdoc at Penn State University prior to joining STScI. His research interests are binary stars, substellar companions, and extrasolar planets. The Mikulski Archive for Space Telescopes […]

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Searching MAST

by Guest May 21, 2012

This is a guest post from Rick White who is an astronomer at STScI. He is the Principal Investigator for MAST.  This is the first of a planned series of articles about using MAST. The newly re-christened Mikulski Archive for Space Telescopes (MAST) is NASA’s archive center for ultraviolet, optical, and near-infrared data. MAST includes […]

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Astrophysics Source Code Library (ASCL)

by Guest September 2, 2011

You don’t know me, but if you’ve written an astrophysics code useful for producing published results, I’d like to know you, or at least know of your code. I’m Alice Allen, primary editor of the Astrophysics Source Code Library (ASCL). The ASCL is a free online reference library of (wait for it…. ) …yes! Astrophysics […]

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How to Turn an ASCII Table into an SDSS spectrum? [Ask AstroBetter]

by Kelle January 18, 2011

[title revised Jan 19] Since Jane’s questions have proved to be very popular and useful posts, we’ve decided to make “Ask AstroBetter” a regular feature. Continuing on the theme of spectral analysis, Eilat asks, Is there a straightforward way to take a table of wavelength, flux, error spanning the same range as SDSS spectra and […]

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PiCloud: Advantages of running python in the cloud

by Eli December 28, 2010

When we go to conferences, observing runs, collaborations and other travels the first thing that comes to mind for packing is our laptop (or iPad). The laptop is steadfast, resolute and is always there when we need to work or relax. But there’s one slight problem; when we need to do work on the run, […]

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Recent AstroStatistics Papers

by Jessica Lu December 27, 2010

For many astronomers, statistics is an integral part of our analysis procedure; yet, we typically get very little formal training in this area. Recently, several astro-statistics papers have been posted on astro-ph that specifically address some of the unique attributes of astronomical data (small numbers of data points, frequent systematic errors or outliers, non-linear models, […]

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Unintentional Biases, Band-Wagon Effects, and the Weaknesses of the Scientific Method

by Kelle December 17, 2010

Rethinking the scientific method | The New Yorker (subscription required, unfortunately) Extremely disturbing article about well-intentioned scientists’ experiments and conclusions gone awry. Most upsetting is the lack of reproducibility in many important studies and the likelihood that those works don’t get published. The disturbing implication of his study is that a lot of extraordinary scientific […]

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