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Colormaps | PJC Research

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The Resarch page of Phil Cigan. Before we start, here are some useful links on some of the topics covered in this post. Generate your own custom colormap. Http:/ assorted-experience.blogspot.com/2007/07/custom-colormaps.html. Http:/ matplotlib.org/examples/pylab examples/custom cmap.html. Using Linear Segmented Colormaps. Http:/ matplotlib.org/api/colors api.html? Scaling the indices in a cmap by a function. Http:/ www.scipy.org/Cookbook/Matplotlib/ColormapTransformations. How to create a colormap:.

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NaNs | PJC Research

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The Resarch page of Phil Cigan. NaN (Not a Number) is an interesting and useful concept. For many people, NaNs represent errors or bugs in code, but there are many applications for which they are beneficial and convenient. In this discussion we will make use of numpy masked arrays as we cover a few different cases where NaNs come into play. You should check out the official webpage at. Http:/ docs.scipy.org/doc/numpy/reference/maskedarray.generic.html. As always, begin by importing numpy:. And life goes ...

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Tutorials | PJC Research

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The Resarch page of Phil Cigan. When I am writing code, at least, the internet and its various tutorials help me get the job done. I hope that the info found here may be of some help to those who work like I do. If you like what I have written, feel free to disseminate these links (please credit my name if you do). Enjoy! Plotting Sky Maps with the Kapteyn Package. Fitting Functions to Data. Convolving and Regridding Images. Also see below, Exercise 2, for some useful exercises). Observational Astronomy ...

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Units of Astronomical Images and Conversions | PJC Research

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The Resarch page of Phil Cigan. Units of Astronomical Images and Conversions. If you’re like me, you frequently have to re-check the definitions for units and conversions with astronomical data. We all learned this in our intro astronomy courses, but details sometimes get fuzzy after time. It doesn’t help that there is occasional laxity in the use of the term ‘flux’ in the Literature, when they really mean flux density or even brightness (and vice versa)! It’s simply the amount of energy radiated p...

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December | 2013 | PJC Research

http://research.endlessfernweh.com/2013/12

The Resarch page of Phil Cigan. Monthly Archives: December 2013. Reprojecting and Regridding Images. Units of Astronomical Images and Conversions. I have not yet found definitions and conversions for the most common astronomical image units in one resource, so I am venturing to create something like that here. Some excellent resources I’ve found on the web on this topic, with figures and examples:. Http:/ www.cv.nrao.edu/course/astr534/Brightness.html. It’s simply the amount of energy radiated per ...

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About | PJC Research

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The Resarch page of Phil Cigan. From Herschel FIR lines. Observational Astronomy Primer Exercises: 3.) Reducing SPIRE Data, Aperture Photometry. Observational Astronomy Primer Exercises: 2.) Python plotting / fitting / etc. Observational Astronomy Primer Exercises: 1.) Viewing FITS Images. Proudly powered by WordPress. Theme: Sunspot by WordPress.com.

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LITTLE THINGS | PJC Research

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The Resarch page of Phil Cigan. This page is under construction. It will host the results and discussion from my work with the LITTLE THINGS team, studying various aspects of dwarf galaxies. I’ll fill in some details here and there as time allows. And the NRAO data site here. This is a map of where the 41 galaxies in the LT sample appear on the sky. The red stars indicate galaxies that were observed with the Herschel Space Telescope as part of our campaign to study normal dwarfs in the far infrared.

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December | 2012 | PJC Research

http://research.endlessfernweh.com/2012/12

The Resarch page of Phil Cigan. Monthly Archives: December 2012. Basic Plotting in Python. This is an example of how to make a simple plot in python, using data stored in a .csv file. Load the 2 columns of data from the file into a (numpy) array. Plot the data with pyplot.plot. Tweak some plot settings to make it pretty. Save the plot to a file, view the plot in a window, or both. You will need to have installed on your machine:. Python (I’m running 2.7 in this tutorial). Here, we will load the data into...