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Module and Diode Noise Power Spectrum and Correlations. Cuts Data from W-band CES #3 Run ID# 3010 B-glitch correction using adc_anomaly_info.txt -w91-multi-v3.txt (default diode rms = 0.2 counts) Not looking at TT modules (modules 85-90) Removed bad modules: 7, 8, 28, 42, 81
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Cuts Data from W-band CES #3 Run ID# 3010 B-glitch correction using adc_anomaly_info.txt-w91-multi-v3.txt (default diode rms = 0.2 counts) Not looking at TT modules (modules 85-90) Removed bad modules: 7, 8, 28, 42, 81 Removed bad diodes: module 4 U2 module 38 Q1 Module 40 Q1
FFT of Double Demodulated Diode Signals mV2/Hz versus freq(Hz) Averaged over all Modules and Diodes Scan Synchronous Signal Other glitches
FFT of Double Demodulated Diode Signals mV2/Hz versus freq(Hz) Some Modules show Stronger Glitch Signals (could be ground pickup) Scan Synchronous Signal Other glitches
Typical Fit Result to function P1/f + P2 Typically cannot fit the first bin Q1 Q2 U1 U2
Definition of White Noise Correlation (from I. Buder) F are the frequency components from the FFT F-bar denote complex conjugate of F i,j are diode indices (Q1, Q2, U1, U2) < > refer to average over all frequencies > 10 Hz
From: Chicago Memo on Noise Correlations Assuming NO polarization at input DDmod Ideal Combination Correlation Coeff Q1 – Q2 0 U1 – U2 0 Q – U 0.5
Q1-Q2, U1-U2, and Q-U correlation dependence on power difference between Leg A and Leg B Q – U Q1 - Q2 U1 - U2
Correlation Dependence on Power Imbalance, and Hybrid Imperfection
Cij versus freq (Hz) Typical Diode-Diode Noise Correlation versus Frequency
Bad Diode-Diode Noise Correlation versus Frequency from module 9 Cij versus freq (Hz)
Noise Correlation Between Diodes (within same module) * I haven’t checked, but this result seems to agree with study by I. Buder
What next ? Implement B-glitching correction (done) Analyze 91 modules from one CES (done) Write fitter to fit for 1/f knee and white noise level (done) Write fitter to fit for correlation coefficients (done) Analyze more CES Examine Glitch patterns in FFT (may be due SSS)