Neat new things....

1. sptool is a quick way to compare standards to stellar spectra. Nice, I'd been looking for a tool like that.
2. GNU screen captions are useful especially when working in a screen-within-a-screen environment (who does that, really?)
3. finally got SPLAT to work... turns out I just hadn't reduced my damned data
4. kill -STOP and kill -CONT are really useful ways to pause programs that are sucking up resources if you want to resume them later. Haven't tried this on "real" code yet.

Filled step plots in matplotlib

It's not possible to do a simple filled step plot in matplotlib using default
commands. Workaround:

def steppify(arr,isX=False,interval=0):
    """
    Converts an array to double-length for step plotting
    """
    if isX and interval==0:
        interval = abs(arr[1]-arr[0]) / 2.0
        newarr = array(zip(arr-interval,arr+interval)).ravel()
        return newarr

plot(xx,yy,linestyle='steps-mid',color='b',linewidth=1.5)
fill_between(steppify(xx[x1:x2],isX=True),
    steppify(yy[x1:x2])*0,
    steppify(yy[x1:x2]),
    facecolor='b',alpha=0.2)

My starred reader articles

Just posting up a few papers I found interesting.

Peng Wang and Tom Abel's paper on outflow feedback in clusters
A somewhat less interesting follow-up to the previous

HARP mapping of the Serpens cloud core

Neal Evans' review of low mass star formation observations

the MNRAS paper on supermassive stars in the LMC

Identification of molecular clouds from the FCRAO OGS

First!

First post by me on my own BLDG! I should transition to this address eventually...

Testing trackbacks?

I just want to see if "trackbacks" work at all. I recently posted about histograms on google spreadsheets .

While I'm at it, might as well throw up a link to my google code site .