Difference: 20161005_MSciSpectroscopyMeeting (1 vs. 5)

Revision 521 Oct 2016 - WilliamBurrows

Line: 1 to 1
 
META TOPICPARENT name="StewartBoogertSpectroscopy2016"
  • 134.219.128.65
  • Cool camera to -20 wrt ambient

Revision 414 Oct 2016 - JamesAngthopo

Line: 1 to 1
 
META TOPICPARENT name="StewartBoogertSpectroscopy2016"
Changed:
<
<
  • 134.219.188.65
>
>
  • 134.219.128.65
 
  • Cool camera to -20 wrt ambient
  • Maxim DL 5
  • Camera control -> setup -> connect

Revision 313 Oct 2016 - WilliamBurrows

Line: 1 to 1
 
META TOPICPARENT name="StewartBoogertSpectroscopy2016"
  • 134.219.188.65
  • Cool camera to -20 wrt ambient
Line: 22 to 22
 
  • px = d.sum[0]
  • py = d.sum[1]
  • gain = h("EGAIN")
Added:
>
>

 -- JamesAngthopo - 07 Oct 2016

Revision 207 Oct 2016 - WilliamBurrows

Line: 1 to 1
 
META TOPICPARENT name="StewartBoogertSpectroscopy2016"
  • 134.219.188.65
  • Cool camera to -20 wrt ambient
Changed:
<
<
  • Camera control ->
>
>
  • Maxim DL 5
  • Camera control -> setup -> connect
 
  • Thorlabs -> APTUser
  • Home moving
  • Complete Cadmium scan
Line: 13 to 13
 
  • Hot pixel removal
  • Horizontal projection
  • Peak finder (1D array, list of lists( Peak, Location, width))
Changed:
<
<
  • Gaussian fit (list of lists(peak, location, width), list of lists(mu, M, sigma, mu_sig, M_sig, sigma_sig))
  • f = lambda(mu,
>
>
  • Gaussian fit (list of lists(peak, location, width), list of lists(a, mu, sigma, a_sig, mu_sig, sigma_sig))
  • f = lambda(m, mu)
 
  • f = pyfits.open("filename")
  • d = f[0].data # 2D array data

Revision 107 Oct 2016 - JamesAngthopo

Line: 1 to 1
Added:
>
>
META TOPICPARENT name="StewartBoogertSpectroscopy2016"
  • 134.219.188.65
  • Cool camera to -20 wrt ambient
  • Camera control ->
  • Thorlabs -> APTUser
  • Home moving
  • Complete Cadmium scan
  • Dark frames

  • Apply gain
  • Hot pixel removal
  • Horizontal projection
  • Peak finder (1D array, list of lists( Peak, Location, width))
  • Gaussian fit (list of lists(peak, location, width), list of lists(mu, M, sigma, mu_sig, M_sig, sigma_sig))
  • f = lambda(mu,

  • f = pyfits.open("filename")
  • d = f[0].data # 2D array data
  • h = f[0].header # fits header data
  • px = d.sum[0]
  • py = d.sum[1]
  • gain = h("EGAIN")
-- JamesAngthopo - 07 Oct 2016
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