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 for you and ask us about the details later. 2 / 22
CRESST C ryogenic R are E vent S earch with S uperconducting T hermometers 3 / 22
CRESST C ryogenic R are E vent S earch with S uperconducting T hermometers Direct dark matter particle detection experiment 3 / 22
CRESST C ryogenic R are E vent S earch with S uperconducting T hermometers Direct dark matter particle detection experiment Direct: interaction of natural dark matter with the detector ⇒ Rare 3 / 22
CRESST C ryogenic R are E vent S earch with S uperconducting T hermometers Direct dark matter particle detection experiment Direct: interaction of natural dark matter with the detector ⇒ Rare Cryogenic detectors → 10-20mK 3 / 22
CRESST C ryogenic R are E vent S earch with S uperconducting T hermometers 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
Detector Working Principle 1 Data Acquisition 2 Data Analysis 3 Results 4 4 / 22
Detector Working Principle Data Acquisition and processing CRESST Detectors - Modules 5 / 22
Detector Working Principle Data Acquisition and processing CRESST Detectors - Modules 5 / 22
Detector Working Principle Data Acquisition and processing CRESST Detectors - Modules Dark Blue : Absorber crystal and holdings sticks (CaWO 4 ) 5 / 22
Detector Working Principle Data Acquisition and processing CRESST Detectors - Modules Dark Blue : Absorber crystal and holdings sticks (CaWO 4 ) Red : Thermometers (TES) 5 / 22
Detector Working Principle Data Acquisition and processing CRESST Detectors - Modules Dark Blue : Absorber crystal and holdings sticks (CaWO 4 ) Red : Thermometers (TES) Black : Light detector 5 / 22
Detector Working Principle Data Acquisition and processing CRESST Detectors - Modules Dark Blue : Absorber crystal and holdings sticks (CaWO 4 ) Red : Thermometers (TES) Black : Light detector Light Blue : Scintillating and reflective foil 5 / 22
Detector Working Principle Data Acquisition and processing CRESST Detectors - Modules 6 / 22
Detector Working Principle Data Acquisition and processing CRESST Detectors - Thermometers 7 / 22
Detector Working Principle Data Acquisition and processing CRESST Detectors - Thermometers Superconductor stabilised within its phase transition 7 / 22
Detector Working Principle Data Acquisition and processing CRESST Detectors - Thermometers Superconductor stabilised within its phase transition 7 / 22
Detector Working Principle Data Acquisition and processing CRESST Detectors - Thermometers Superconductor stabilised within its phase transition Small temperature changes lead to big resistance changes 7 / 22
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 7 / 22
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) 7 / 22
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
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
Detector Working Principle Data Acquisition and processing CRESST Detectors - Shielding and Location 8 / 22
Detector Working Principle Data Acquisition Analysis Continuous Data Acquisition 9 / 22
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: Falling flank: Energy deposition leads Detector and ther- to a sharp rise ( ≈ 1ms) mometer cool slowly in temperature and re- ( ≈ 100ms) via coupling sistance to the heatbath 10 / 22
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: Falling flank: Energy deposition leads Detector and ther- to a sharp rise ( ≈ 1ms) mometer cool slowly in temperature and re- ( ≈ 100ms) via coupling sistance to the heatbath 10 / 22
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: Falling flank: Energy deposition leads Detector and ther- to a sharp rise ( ≈ 1ms) mometer cool slowly in temperature and re- ( ≈ 100ms) via coupling sistance to the heatbath 10 / 22
Detector Working Principle Data Acquisition Analysis Triggering 11 / 22
Detector Working Principle Data Acquisition Analysis Triggering Threshold trigger 11 / 22
Detector Working Principle Data Acquisition Analysis Triggering Threshold trigger Knowledge of expected pulse shape allows filtering 11 / 22
Detector Working Principle Data Acquisition Analysis Triggering Threshold trigger Knowledge of expected pulse shape allows filtering 11 / 22
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” 11 / 22
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” 11 / 22
Detector Working Principle Data Acquisition Analysis Event 12 / 22
Detector Working Principle Data Acquisition Analysis Event This is where my work usually starts. 12 / 22
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 13 / 22
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 13 / 22
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
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
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
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
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
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. 16 / 22
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: 16 / 22
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 16 / 22
Recommend
More recommend
