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ispec_tran()
Returns current spectrum
Syntax
y = ispec_tran(iOut, fundFreq, numHarm, windowType, windowConst)
y = ispec_tran(iOut, fundFreq, numHarm, windowType, windowConst)
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Arguments
Name | Description | Range | Type | Default | Required |
---|---|---|---|---|---|
iOut | current through a branch | (-∞, ∞) | real, complex | yes | |
fundFreq | fundamental frequency | [0, ∞) | real | yes | |
numHarm | number of harmonics of fundamental frequency | [0, ∞) | integer | yes | |
windowType | type of window to be applied to the data | [0, 9]† | integer, string | 0 | no |
windowConst | window constant ‡ † | [0, ∞] | integer, real | 0 | no |
† The window types and their default constants are:0 = None1 = Hamming 0.542 = Hanning 0.503 = Gaussian 0.754 = Kaiser 7.8655 = 8510 6.0 (This is equivalent to the time-to-frequency transformation with normalgate shape setting in the 8510 series network analyzer.)6 = Blackman7 = Blackman-Harris8 = 8510-Minimum 09 = 8510-Maximum 13 |
Examples
y = ispec_tran(I_Probe1.i, 1GHz, 8)
Defined in
$HPEESOF_DIR/expressions/ael/circuit_fun.ael
See Also
pspec_tran(), vspec_tran()
Notes/Equations
This measurement gives a current spectrum for a specified branch. The measurement gives a set of RMS current values at each frequency. The fundFreq argument determines the portion of the time-domain waveform to be converted to frequency domain. This is typically one full period corresponding to the lowest frequency in the waveform. The numHarm argument is the number of harmonics of fundamental frequency to be included in the currents spectrum.
Introduction: This Thing is Powerful
My goal today is to start a series which shows you how to do many amazing things with Python scripts in iSpec, a tool put together by Dr. Blanco-Cuaresma. iSpec’s main site describes it as “a tool for the treatment and analysis of stellar spectra.” It does this exceedingly well as it is able to completely automate very tedious tasks and generally does them better than a person can (at least for general ballpark). What makes this program so powerful is its ability to do everything needed for parameter determination and abundance analysis in one place, instead of calculating a model atmosphere and then running that through radial transfer code. In particular, the abundance analysis calculations are extremely useful. As a human, it can take several hours to measure the lines for the elements you are interested in and one must be very careful to be consistent in how they do their equivalent width measurements, otherwise the error bar can be extraordinary. iSpec is able to measure the strongest lines of the abundance in question and do this completely consistently. With this tool one can reproduce both parameters and abundances in literature in a very short time with just a couple of scripts (we will do this in the following lessons). This program is also capable of changing a spectrum’s resolution, removing cosmic rays, identifying telluric lines, etc. We will also cover many of these features related to spectra manipulation and correction.
Why Not Use The GUI?
This guide focuses specifically on Python script usage to run iSpec. The reason I will not be using the graphical user interface is because it does not have all the features that the scripts offer. However, I recommend that new users use the GUI to check specific things in the spectrum which may affect calculation before proceeding to run an observed spectrum through the scripts ( I will cover this step when relevant). Also, as the manual for the program notes, using scripts makes the results completely reproducible. So long as someone has the same data and runs it through the same script (which can be checked for accuracy) as the astronomer before them they should be able to get consistent results. Since this blog focuses on real research application, this is of utmost importance.
Installation and Configuration
Information on how to install iSpec is given in its manual here. All you need to do to get started is to install VirtualBox, add the extension pack , and then download the virtual machine found on the program’s website. This will give you a program that is completely ready to run. I recommend playing with the GUI a bit at this point to get a taste for the kind of power we are dealing with.
If you are in the United States you will notice that the current keyboard layout is not what you are used to. To change this simply click the dash button and search “keyboard.”
Now I recommend deleting all the Keyboard layouts that you do not want and then only keeping the “English (US)” one. This should make all keyboard inputs consistent with what you’d expect.
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Now to be able to use sudo commands (which we will need for installing Jupyter Notebook or any other program) we need to know the password for the administrator account. With how the virtual machine comes I was not able to figure out what the current one was. But we can get around this by resetting the password which is what I will show you how to do now. To do this you need to reset the virtual machine. You can do this by clicking Machine -> Reset. Now continuously press the shift key until this screen appears (begin pressing it right after you reset the machine):
Now go down to “Advanced options for Ubuntu” and press Enter. This will then take you to this screen:
We now want to go to “Ubuntu, with Linux 4.4.0-57-generic (recovery mode)”
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You will be met with this screen:
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From here go to “root” and press enter. Now in the root shell prompt we want to type: “mount -rw -o remount /”. Most likely even if you changed the keyboard layout before this step the “-” and “/” will be not in the places you’d expect. On a U.S. keyboard the “-” is the “/” and to get the “/” you need to do “SHIFT+7”. Press enter and then type “passwd virtual”. This shows that we want to make a new password for the account called “virtual” which by default is the account with administrator privileges. Then simply type in your new password and restart!
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Jupyter Notebook Installation
Now that we have changed the password and corrected the keyboard layout, I will be now showing how to install the Jupyter Notebook which I will be using for my guides. Note that this step is completely optional and one may use whatever they wish to create the scripts in. More information on the Jupyter Notebook and perhaps some motivation for its usage can be found here. I also recommend watching this Youtube video to see it in action.
The installation for the Jupyter Notebook is simple. Simply go to the “Terminal Emulator” and type in “sudo apt-get -y install ipython ipython-notebook”. This will give you an installation of Ipython. Next type in “sudo -H pip install jupyter”. You should now have the Jupyter Notebook installed! To try it out simply type “jupyter notebook” in the terminal which will open the web browser with Jupyter Notebook:
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That’s all for today. Congrats on the installation! At this point I recommend checking out “example.py” and giving it a run to make sure everything is running okay (note that completing this entire script will take some time). Note this might make you feel like a hacker in a cheesy 90s movie.