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ChrisM_LabJournal.txt
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Today I learned how to use github. Sort of.
I have no idea what to use for my research project. I like cosmology.
It sounds like the telescopes we have access to have limited spectroscopic abilities.
I need to have a meeting with the professor to figure out what a good project would encompass.
For the assignment of finding a catalog for finding quasars we were able to find the catalog on the NASA HEARSAR(sp?) website. The formatting needed to be fixed first so I used the FixedTarget command after I ran into issues with SkyCoord.
I made a plot to see what objects would be visible by ploting the attenuation, moon seperation, and altitude. I am trying to figure out how to factor in moon luminosty.
I used a moon phase calendar from google to check the moon phase during my time window at CTIO.
I can still optimize the code better to sort the table by fractional observation time in order to rank objects for different observation times.
Potential projexts:
Is there galaxy rotational axis correlation: Requires a catalog with spectra to fit rotation curves. Correlate with galaxy classification, "Axis ratio", and density of galaxies in surrounding space. SDSS galaxy environment information catalog. https://www.sdss.org/dr15/data_access/value-added-catalogs/
I updated my notes for my project and have opened six papers and saved them to my Zotero.
It is difficult to work on this project only from the astrolab. I should figure out how to work on this from home.
Vignetting: dark regions at edges due to scattering
Bias/Overscan: give information about electronics. Might have something to do with amplifiers.
A large enough number of samples will cause many types of distrobutions (poisson included) into gaussian distributions.
Serial register/horizontal CCD: bottom row of CCD array. Gets pushed right to a single cell.
Dark current = thermal noise
quantum efficiency is bad for ~<300nm
n_{tot}=sqrt{(n_{phot})^2+(n_{dark})^2+(n_{read})^2+(n_{bias})^2}
noise=sqrt{signal}
want to subtract dark current from scan by exposing for same amount of time.
bias is read noise?
today we are beginning a characterization lab report on CCDs. Refer to the back of the packet for grading.
Compare measurements with vendor information.
Gain: #electrons/ADU. But it is somehow inversely related to the gain of the amplifier?
Must take two bias frames and two flatfield exposures to get difference images
get ___ for single files and mget ___* for all files that begin with the same starting part.
We are working on a new Reducing Imaging Data using Bias, Flats, Darks, and Images.
Thus far I have been using ds9 to collect data for the processes. I will probably have to come in over the weekend because my personal research is pressing and I have a group meeting presentation coming up tomorrow. Yay 19 credits...