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Detection Scheme of  Single Shot Time Resolved X-ray Emission Spectroscopy of Chemical Detection Scheme of  Single Shot Time Resolved X-ray Emission Spectroscopy of Chemical

Detection Scheme of Single Shot Time Resolved X-ray Emission Spectroscopy of Chemical - PowerPoint Presentation

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Detection Scheme of Single Shot Time Resolved X-ray Emission Spectroscopy of Chemical - PPT Presentation

Kathleen R Geyer August 12 2010 Mentor Dennis Nordlund SULI Presentation August 12 2010 Kathleen Geyer geyerslacstanfordedu UHV End Station Soft Xrays 012 to 12 KeV PES XAS and XES ID: 789867

kathleen geyer slac stanford geyer kathleen stanford slac 2010 suli august presentation smile presentationaugust ideal ssrl background run gain

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Slide1

Detection Scheme of Single Shot Time Resolved X-ray Emission Spectroscopy of Chemical Dynamics at LCLS

Kathleen R. GeyerAugust 12, 2010Mentor: Dennis Nordlund

SULI PresentationAugust 12, 2010

Kathleen Geyer

geyer@slac.stanford.edu

Slide2

UHV End Station

Soft X-rays: 0.12 to

12 KeVPES, XAS, and XES

Slide3

How it Works

Slide4

How it works

Slide5

Ideal Smile

SULI Presentation

August 12, 2010

Kathleen Geyer

geyer@slac.stanford.edu

Slide6

Ideal Spectrum

SULI Presentation

August 12, 2010

Kathleen Geyer

geyer@slac.stanford.edu

Slide7

Adimec Opal-1000m/Q

High Speed CCD Camera1 Megapixel resolution

SULI PresentationAugust 12, 2010

Kathleen Geyer

geyer@slac.stanford.edu

Slide8

Camera SettingsFocus

Field of viewMinimizing BackgroundFPSExposure timeGain Settings

SULI PresentationAugust 12, 2010

Kathleen Geyer

geyer@slac.stanford.edu

Slide9

Gain Setting

Gain = Number of electrons per pixel/number of counts per pixel (ADUs)

SULI Presentation

August 12, 2010

Kathleen Geyer

geyer@slac.stanford.edu

Slide10

SSRL Run: Smile

SULI Presentation

August 12, 2010

Kathleen Geyer

geyer@slac.stanford.edu

Slide11

SSRL Smile

Ideal Smile

Slide12

SSRL Run: Spectrum

SULI Presentation

August 12, 2010

Kathleen Geyer

geyer@slac.stanford.edu

Raw Data

Removed Background

Slide13

ConclusionAveraging of images using background discriminator does not work

Next Step: Blob finder program