CRESST (Data Analysis) Philipp Bauer MPP September 7, 2018 1 / 22 - - PowerPoint PPT Presentation

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CRESST (Data Analysis) Philipp Bauer MPP September 7, 2018 1 / 22 - - PowerPoint PPT Presentation

CRESST (Data Analysis) Philipp Bauer MPP September 7, 2018 1 / 22 Goal of this talk Very brief overview over the CRESST Experiment. 2 / 22 Goal of this talk Very brief overview over the CRESST Experiment. Please try to spot things relevant


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SLIDE 1

CRESST (Data Analysis)

Philipp Bauer

MPP

September 7, 2018

1 / 22

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SLIDE 2

Goal of this talk

Very brief overview over the CRESST Experiment.

2 / 22

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SLIDE 3

Goal of this talk

Very brief overview over the CRESST Experiment. Please try to spot things relevant for you and ask us about the details later.

2 / 22

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SLIDE 4

CRESST

Cryogenic Rare Event Search with Superconducting Thermometers

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SLIDE 5

CRESST

Cryogenic Rare Event Search with Superconducting Thermometers Direct dark matter particle detection experiment

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CRESST

Cryogenic Rare Event Search with Superconducting Thermometers Direct dark matter particle detection experiment Direct: interaction of natural dark matter with the detector ⇒ Rare

3 / 22

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CRESST

Cryogenic Rare Event Search with Superconducting Thermometers Direct dark matter particle detection experiment Direct: interaction of natural dark matter with the detector ⇒ Rare Cryogenic detectors → 10-20mK

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SLIDE 8

CRESST

Cryogenic Rare Event Search with Superconducting Thermometers Direct dark matter particle detection experiment Direct: interaction of natural dark matter with the detector ⇒ Rare Cryogenic detectors → 10-20mK Detection by energy/heat deposition measured by a special thermometer

3 / 22

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SLIDE 9

1

Detector Working Principle

2

Data Acquisition

3

Data Analysis

4

Results

4 / 22

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Detector Working Principle Data Acquisition and processing

CRESST Detectors - Modules

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Detector Working Principle Data Acquisition and processing

CRESST Detectors - Modules

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Detector Working Principle Data Acquisition and processing

CRESST Detectors - Modules

Dark Blue: Absorber crystal and holdings sticks (CaWO4)

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Detector Working Principle Data Acquisition and processing

CRESST Detectors - Modules

Dark Blue: Absorber crystal and holdings sticks (CaWO4) Red: Thermometers (TES)

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SLIDE 14

Detector Working Principle Data Acquisition and processing

CRESST Detectors - Modules

Dark Blue: Absorber crystal and holdings sticks (CaWO4) Red: Thermometers (TES) Black: Light detector

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SLIDE 15

Detector Working Principle Data Acquisition and processing

CRESST Detectors - Modules

Dark Blue: Absorber crystal and holdings sticks (CaWO4) Red: Thermometers (TES) Black: Light detector Light Blue: Scintillating and reflective foil

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SLIDE 16

Detector Working Principle Data Acquisition and processing

CRESST Detectors - Modules

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Detector Working Principle Data Acquisition and processing

CRESST Detectors - Thermometers

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Detector Working Principle Data Acquisition and processing

CRESST Detectors - Thermometers

Superconductor stabilised within its phase transition

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Detector Working Principle Data Acquisition and processing

CRESST Detectors - Thermometers

Superconductor stabilised within its phase transition

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Detector Working Principle Data Acquisition and processing

CRESST Detectors - Thermometers

Superconductor stabilised within its phase transition Small temperature changes lead to big resistance changes

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Detector Working Principle Data Acquisition and processing

CRESST Detectors - Thermometers

Superconductor stabilised within its phase transition Small temperature changes lead to big resistance changes Read out with a SQUID system

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Detector Working Principle Data Acquisition and processing

CRESST Detectors - Thermometers

Superconductor stabilised within its phase transition Small temperature changes lead to big resistance changes Read out with a SQUID system Very sensitive (Detector threshold in the end ≈100eV)

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Detector Working Principle Data Acquisition and processing

CRESST Detectors - Thermometers

Superconductor stabilised within its phase transition Small temperature changes lead to big resistance changes Read out with a SQUID system Very sensitive (Detector threshold in the end ≈100eV) Requires a temperature stabilization

7 / 22

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SLIDE 24

Detector Working Principle Data Acquisition and processing

CRESST Detectors - Thermometers

Superconductor stabilised within its phase transition Small temperature changes lead to big resistance changes Read out with a SQUID system Very sensitive (Detector threshold in the end ≈100eV) Requires a temperature stabilization Limited linear and dynamic range

7 / 22

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Detector Working Principle Data Acquisition and processing

CRESST Detectors - Shielding and Location

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Detector Working Principle Data Acquisition Analysis

Continuous Data Acquisition

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Detector Working Principle Data Acquisition Analysis

Continuous Data Acquisition

The analog voltage output from the detector side is continuously sampled, digitized and written to disc: Rising flank: Energy deposition leads to a sharp rise (≈1ms) in temperature and re- sistance Falling flank: Detector and ther- mometer cool slowly (≈100ms) via coupling to the heatbath

10 / 22

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SLIDE 28

Detector Working Principle Data Acquisition Analysis

Continuous Data Acquisition

The analog voltage output from the detector side is continuously sampled, digitized and written to disc: Rising flank: Energy deposition leads to a sharp rise (≈1ms) in temperature and re- sistance Falling flank: Detector and ther- mometer cool slowly (≈100ms) via coupling to the heatbath

10 / 22

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SLIDE 29

Detector Working Principle Data Acquisition Analysis

Continuous Data Acquisition

The analog voltage output from the detector side is continuously sampled, digitized and written to disc: Rising flank: Energy deposition leads to a sharp rise (≈1ms) in temperature and re- sistance Falling flank: Detector and ther- mometer cool slowly (≈100ms) via coupling to the heatbath

10 / 22

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Detector Working Principle Data Acquisition Analysis

Triggering

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Detector Working Principle Data Acquisition Analysis

Triggering

Threshold trigger

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Detector Working Principle Data Acquisition Analysis

Triggering

Threshold trigger Knowledge of expected pulse shape allows filtering

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SLIDE 33

Detector Working Principle Data Acquisition Analysis

Triggering

Threshold trigger Knowledge of expected pulse shape allows filtering

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SLIDE 34

Detector Working Principle Data Acquisition Analysis

Triggering

Threshold trigger Knowledge of expected pulse shape allows filtering Triggered data is stored in the form of ”events”

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Detector Working Principle Data Acquisition Analysis

Triggering

Threshold trigger Knowledge of expected pulse shape allows filtering Triggered data is stored in the form of ”events”

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SLIDE 36

Detector Working Principle Data Acquisition Analysis

Event

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Detector Working Principle Data Acquisition Analysis

Event

This is where my work usually starts.

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Data Acquisition and processing Data Analysis Brief Result

Parameters and Cuts

Parameters derived from the events to better classify them and reject bad events that cannot be analyzed properly e.g.: Pulse Height

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SLIDE 39

Data Acquisition and processing Data Analysis Brief Result

Parameters and Cuts

Parameters derived from the events to better classify them and reject bad events that cannot be analyzed properly e.g.: Pulse Height

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SLIDE 40

Data Acquisition and processing Data Analysis Brief Result

Parameters and Cuts

Parameters derived from the events to better classify them and reject bad events that cannot be analyzed properly e.g.: Peak Position

14 / 22

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SLIDE 41

Data Acquisition and processing Data Analysis Brief Result

Parameters and Cuts

Parameters derived from the events to better classify them and reject bad events that cannot be analyzed properly e.g.: Peak Position

14 / 22

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SLIDE 42

Data Acquisition and processing Data Analysis Brief Result

Parameters and Cuts

Parameters derived from the events to better classify them and reject bad events that cannot be analyzed properly e.g.: Peak Position

14 / 22

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SLIDE 43

Data Acquisition and processing Data Analysis Brief Result

Parameters and Cuts

Parameters derived from the events to better classify them and reject bad events that cannot be analyzed properly e.g.: Right - Left Baseline

15 / 22

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SLIDE 44

Data Acquisition and processing Data Analysis Brief Result

Parameters and Cuts

Parameters derived from the events to better classify them and reject bad events that cannot be analyzed properly e.g.: Right - Left Baseline

15 / 22

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Data Acquisition and processing Data Analysis Brief Result

Energy Calibration

As a first step for the energy calibration a better measure for the pulse strength than the Pulse Height is required.

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Data Acquisition and processing Data Analysis Brief Result

Energy Calibration

As a first step for the energy calibration a better measure for the pulse strength than the Pulse Height is required. Two possibilities:

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Data Acquisition and processing Data Analysis Brief Result

Energy Calibration

As a first step for the energy calibration a better measure for the pulse strength than the Pulse Height is required. Two possibilities: Standard event fit

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Data Acquisition and processing Data Analysis Brief Result

Energy Calibration

As a first step for the energy calibration a better measure for the pulse strength than the Pulse Height is required. Two possibilities: Standard event fit Optimum filter

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Data Acquisition and processing Data Analysis Brief Result

Energy Calibration

The energy scale is fixed with a calibration measurement: 122keV ≈63.3keV (There is another step in between which insures linearity and removes time dependencies, and there are some limitations due to the dynamic range of the detector)

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Data Acquisition and processing Data Analysis Brief Result

Energy Calibration

The energy scale is fixed with a calibration measurement: 122keV ≈63.3keV (There is another step in between which insures linearity and removes time dependencies, and there are some limitations due to the dynamic range of the detector)

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Data Acquisition and processing Data Analysis Brief Result

Event selection

Rare event search experiments require not only an ultra low background environment but also a way to reject dominating

  • backgrounds. In CRESST this is done with the help of the light

channel: electron/gamma events nuclear recoils

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SLIDE 52

Data Acquisition and processing Data Analysis Brief Result

Event selection

Rare event search experiments require not only an ultra low background environment but also a way to reject dominating

  • backgrounds. In CRESST this is done with the help of the light

channel: electron/gamma events nuclear recoils

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Data Acquisition and processing Data Analysis Brief Result

Event selection

Rare event search experiments require not only an ultra low background environment but also a way to reject dominating

  • backgrounds. In CRESST this is done with the help of the light

channel: electron/gamma events nuclear recoils

18 / 22

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SLIDE 54

Data Acquisition and processing Data Analysis Brief Result

Event selection

Rare event search experiments require not only an ultra low background environment but also a way to reject dominating

  • backgrounds. In CRESST this is done with the help of the light

channel: electron/gamma events nuclear recoils

18 / 22

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SLIDE 55

Data Acquisition and processing Data Analysis Brief Result

Event selection

Rare event search experiments require not only an ultra low background environment but also a way to reject dominating

  • backgrounds. In CRESST this is done with the help of the light

channel: electron/gamma events nuclear recoils

19 / 22

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SLIDE 56

Data Acquisition and processing Data Analysis Brief Result

Event selection

Rare event search experiments require not only an ultra low background environment but also a way to reject dominating

  • backgrounds. In CRESST this is done with the help of the light

channel: electron/gamma events nuclear recoils

19 / 22

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SLIDE 57

Data Acquisition and processing Data Analysis Brief Result

Event selection

Rare event search experiments require not only an ultra low background environment but also a way to reject dominating

  • backgrounds. In CRESST this is done with the help of the light

channel: electron/gamma events nuclear recoils

19 / 22

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SLIDE 58

Data Acquisition and processing Data Analysis Brief Result

Event selection

Rare event search experiments require not only an ultra low background environment but also a way to reject dominating

  • backgrounds. In CRESST this is done with the help of the light

channel: electron/gamma events nuclear recoils

19 / 22

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SLIDE 59

Data Acquisition and processing Data Analysis Brief Result

Event selection

Rare event search experiments require not only an ultra low background environment but also a way to reject dominating

  • backgrounds. In CRESST this is done with the help of the light

channel:

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Analysis Results

Limits (or discoveries)

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Analysis Results

Thank you for your Attention!

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