UNIT 5: ADVANCED ELECTRONIC MEASUREMENT & ANALYSIS TECHNIQUES
5.1 Introduction & Unit Scope
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Objective: Transition from single-instrument measurements to system-level characterization, complex signal analysis, and professional diagnostic practices.
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Core Themes: Integration of instruments, emphasis on accuracy, calibration, uncertainty quantification, and structured reporting.
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Exam Focus: Understanding the purpose of advanced techniques—why deeper memory, vector analysis, or uncertainty budgets are necessary for reliable engineering work.
5.2 Advanced Signal Generation & Analysis
Arbitrary Function Generators (AFGs)
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Principle: Direct Digital Synthesis (DDS). A phase accumulator steps through a phase word at a clock rate; the phase word's value indexes a waveform lookup table (RAM). Output is filtered and scaled.
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Key Specs:
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Sample Rate (S/s): Maximum speed of DAC. Dictates highest reproducible frequency (Nyquist: $$\displaystyle f_{max} \approx \frac{Sample\ Rate}{2} $$).
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Vertical Resolution (bits): DAC bits (e.g., 14-bit). Determines amplitude granularity ($$\displaystyle 2^{bits} $$ levels).
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Bandwidth: Analog output filter limit.
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Arbitrary Waveform Memory Depth: Number of points stored (e.g., 16kpts, 1Mpts). Affects waveform detail and period length.
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Applications: Simulating sensor outputs, digital communication signals (I/Q modulation), stimulus for non-linear device testing.
[!TIP] Common Pitfall: Confusing sample rate (DAC speed) with waveform length (memory depth). A high sample rate with shallow memory can only produce very short, high-frequency bursts.
Spectrum Analyzers
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Operating Principle:
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Swept-Tuned: Local oscillator sweeps across frequency range; mixer converts RF to IF; IF filter (RBW) selects a narrow band; detector outputs power vs. frequency.
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FFT-Based (Real-Time): Digitizes a wide bandwidth; computes FFT to get spectrum. Captures transient events better.
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Critical Parameters:
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Resolution Bandwidth (RBW): IF filter bandwidth. Narrower RBW = better frequency resolution, slower sweep.
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Video Bandwidth (VBW): Post-detection filter. Smoothes trace, reduces noise.
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Span: Total frequency width displayed.
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Sweep Time: Time to complete one sweep. Inversely proportional to RBW².
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Dynamic Range: Ability to measure small signals in presence of large ones (dictated by mixer distortion, phase noise).
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Key Measurements:
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Harmonic Distortion: Measure amplitudes of $$\displaystyle 2f_0, 3f_0... $$ relative to fundamental.
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Occupied Bandwidth (OBW): Frequency band containing % of total power (e.g., 99%).
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Spurious Analysis: Searching for unwanted emissions.
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[!TIP] Practical Setup: Use a pre-amplifier for weak signals (but beware of its own distortion). Use attenuation for strong signals to avoid mixer compression. Always check RBW/VBW settings—a wide VBW can hide narrow spurs.
5.3 Advanced Time-Domain & Logic Analysis
Digital Storage Oscilloscopes (DSOs) - Advanced
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Deep Memory: Allows long waveform capture at high sample rate without aliasing. Trade-off: Longer capture = slower screen update rate.
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Advanced Triggering:
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Pulse Width: Trigger on pulses $$\displaystyle > $$ or $$\displaystyle < $$ a time.
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Runt: Trigger on pulses that don't reach valid high/low levels.
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Logic/Pattern: Trigger on a specific logic state across multiple channels (like a simple logic analyzer).
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Setup & Hold: Trigger on timing violations in digital circuits.
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Waveform Processing:
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FFT: Converts time-domain to frequency-domain (spectrum). Windowing (Hamming, Hanning) affects leakage.
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Math Channels: Add, subtract, multiply waveforms; integrate/differentiate (e.g., charge from current).
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Parameter Measurements: Automated stats (mean, RMS, freq, period, rise time). Histograms show distribution of a parameter (e.g., jitter).
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Serial Bus Decoding: Hardware/software decodes protocols (I2C, SPI, UART, CAN). Shows interpreted data (addresses, data bytes) alongside analog waveforms.
Logic Analyzers
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vs. DSO: Many more channels (16-136 vs. 2-4). Typically no analog detail (just logic high/low). Timing vs. State Analysis:
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Timing Mode: Samples at a fixed rate. Glitch capture is primary use. Shows relative timing between signals.
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State Mode: Samples synchronously with a clock signal. Shows the state of the bus at each clock cycle (like a truth table).
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Application: Debugging microprocessor buses, digital communication protocols, complex state machines.
5.4 Component & Network Characterization
LCR Meters & Impedance Analyzers
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Measurement Principle: Apply a known AC test signal (voltage or current) to the Device Under Test (DUT). Measure the resulting current or voltage. Calculate impedance $$\displaystyle Z = V/I $$. Often uses an AC bridge technique for precision.
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Parameters Measured:
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R (Resistance), L (Inductance), C (Capacitance).
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Dissipation Factor (D): $$\displaystyle D = \tan{\delta} = \frac{Equivalent\ Series\ Resistance\ (ESR)}{Reactance} $$. Measure of loss.
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Quality Factor (Q): $$\displaystyle Q = \frac{1}{D} = \frac{Reactance}{ESR} $$. For inductors/capacitors, higher Q = lower loss.
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Impedance (Z) & Phase Angle (θ): $$\displaystyle Z = |Z|\angle\theta $$.
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Critical Practical: 2-Terminal vs. 4-Terminal (Kelvin)
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2-Terminal: Measures DUT + lead resistance/capacitance. Inaccurate for low-value components (e.g., <10Ω resistors, low-ESR caps).
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4-Terminal: Separate current (force) and voltage (sense) leads. Eliminates lead/contact resistance from voltage measurement. Essential for precise low-resistance/inductance measurements.
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Frequency Dependency: L, C, and ESR are not constant. Always note the test frequency (e.g., 100 Hz, 1 kHz, 10 kHz, 1 MHz). A capacitor's measured C can change dramatically with frequency.
Vector Network Analyzers (VNA) - Fundamentals
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Core Concept: Measures S-parameters (Scattering Parameters). Describe how a network (DUT) scatters incident waves.
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S11: Input reflection coefficient. Measures impedance match at Port 1 ($$\displaystyle \Gamma_{in} $$).
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S21: Forward transmission coefficient. Measures gain/loss from Port 1 to Port 2.
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S12, S22 similarly for reverse.
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Reflection & Transmission: $\Gamma$ (reflection coeff) relates to VSWR and impedance mismatch. $$\displaystyle S_{21} $$ relates to insertion loss/gain.
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Smith Chart: Graphical tool for visualizing complex impedance ($R + jX$) and reflection coefficient ($\Gamma$). Used for impedance matching.
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Primary Applications:
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Filters: Measure $$\displaystyle S_{21} $$ (insertion loss) vs. frequency; $$\displaystyle S_{11} $$ (return loss) at stopbands.
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Amplifiers: Gain ($$\displaystyle S_{21} $$), input/output match ($$\displaystyle S_{11}, S_{22} $$), stability.
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Antennas: $$\displaystyle S_{11} $$ indicates impedance match to 50Ω feedline.
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PCB Traces: Characterize insertion loss and crosstalk.
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[!TIP] VNA Display: On a $$\displaystyle |S_{21}| $$ dB plot, 0 dB means all power transmitted (lossless). Negative dB means loss. On $$\displaystyle |S_{11}| $$ dB, -∞ dB is perfect match (no reflection); 0 dB is total reflection (open/short).
5.5 Data Acquisition (DAQ) & PC-Based Instrumentation
DAQ System Architecture
Sensor/Transducer → Signal Conditioning → ADC → Interface (USB/PCIe) → PC Software
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Signal Conditioning: Amplification (gain), filtering (anti-aliasing), isolation (safety), excitation (for strain gauges, RTDs).
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ADC: Core component. Key specs below.
Key DAQ Specifications
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Resolution (bits): Number of binary levels. e.g., 16-bit = 65,536 levels. Theoretical SNR ≈ $6.02N + 1.76$ dB.
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Sample Rate (S/s): How fast ADC converts. Must be > 2x highest signal frequency (Nyquist). For capturing transients, need high throughput (total across channels).
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Input Range: Min/Max voltage ADC can accept (e.g., ±10V, ±1V). Often programmable via gain in conditioning.
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Accuracy vs. Resolution: Resolution is granularity. Accuracy is total error (including gain error, offset error, nonlinearity, temperature drift). A 16-bit ADC may have only 14-bit effective accuracy.
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Single-Ended vs. Differential:
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Single-Ended: Each channel measured relative to a common ground (AI GND). Susceptible to ground loops & noise. More channels.
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Differential: Each channel has + and - inputs. Measures voltage difference. Rejects common-mode noise. Better for low-level or noisy environments.
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Virtual Instrumentation
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Concept: Software (e.g., NI LabVIEW, MATLAB, Python with PyVISA, PyDAQmx) defines the instrument's function. Hardware (DAQ card, modular PXI chassis) provides the I/O.
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Advantages: Flexibility (change function via software), integration (control multiple instruments), automation (repeatable tests), cost-effective for custom systems.
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Example: Python script using PyVISA to control a multimeter and a switch matrix to automate resistance measurements on 100 components.
5.6 Calibration, Standards & Measurement Uncertainty
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Calibration: Process of comparing an instrument's reading to a known reference standard and adjusting/ documenting its error.
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Traceability: Chain of comparisons linking your instrument's calibration to national standards (NIST, NPL, BIPM).
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Internal vs. External: Internal (built-in reference, self-cal) for short-term stability. External (by certified lab) for traceability and long-term accuracy.
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Sources of Error & Uncertainty:
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Instrument: Accuracy spec, resolution, drift (temp, time), linearity.
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Environmental: Temperature, humidity, EMI/RFI, vibration.
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Connection/Lead: Contact resistance, thermoelectric voltages (junction potentials), loading (probe capacitance/resistance).
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Operator/Technique: Parallax error, incorrect range/scale, misreading.
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Uncertainty Budget (Conceptual):
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Identify all uncertainty sources.
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Classify: Type A (statistical, from repeated readings), Type B (from specs, manuals, certificates).
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Estimate standard uncertainty ($u$) for each (often $$\displaystyle u = \frac{range}{\sqrt{3}} $$ for uniform distribution).
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Combine: $$\displaystyle u_c = \sqrt{u_1^2 + u_2^2 + ...} $$ (root-sum-square).
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Expanded Uncertainty: $$\displaystyle U = k \cdot u_c $$ (coverage factor $k \approx 2$ for 95% confidence).
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Reporting: A calibration certificate states the measured value, reference value, deviation, and measurement uncertainty ($U$) at a stated confidence level.
5.7 Troubleshooting & Systematic Approach
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Methodology:
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Define Symptom: What is wrong? (e.g., "no signal," "excessive noise," "waveform distorted").
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Form Hypotheses: List possible causes (power supply, connections, DUT, instrument settings).
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Isolate: Divide-and-conquer. Break system into blocks. Signal Tracing: Inject known good signal at input, check at each stage. Signal Injection: Inject signal at intermediate point to see if output appears.
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Verify/Replace: Test suspected component. Swap with known good part.
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Resolution & Documentation: Fix, then retest full system. Document fault and fix.
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Using Instrument Features:
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Oscilloscope: Use persistence to see infrequent glitches. Use averaging to reduce random noise. Use math channels to subtract expected signal from actual (leaving error).
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Spectrum Analyzer: Use to locate noise sources (switch power supplies, motors) by their characteristic frequencies.
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Logic Analyzer: Use deep memory and triggering on rare events to catch intermittent bus errors.
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Common Pitfalls:
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Ground Loops: Multiple ground paths creating circulating currents → noise. Fix: Use single-point ground, differential measurements, isolation.
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Improper Probing: Using 10x probe on 1x setting (loading), uncompensated probe (ringing), long ground leads (inductance).
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Trigger Mis-set: Missing the event. Use proper trigger type (pulse, logic), level, and slope.
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Display Misinterpretation: Confusing RMS, Average, Peak-to-Peak values. Not checking AC/DC coupling or bandwidth limit settings.
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5.8 Laboratory Safety, Best Practices & Reporting
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Electrical Safety:
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Mains-Powered Equipment: Check for damaged cords, use GFCI outlets, be aware of exposed live parts.
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ESD Precautions: Use wrist straps, antistatic mats when handling CMOS, ICs.
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Proper Grounding: Ensure instrument and DUT grounds are safe and correct. Never defeat safety grounds.
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Instrument Handling:
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Probes: Always set attenuation switch (1x/10x) to match oscilloscope setting. Compensate probe tip to calibration signal.
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Overvoltage/Overcurrent: Know input ratings. Use current-limiting for power supplies. Use attenuators for high voltages.
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Professional Lab Notebook/Report:
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Objective: What you intended to measure/verify.
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Apparatus: List all instruments (make, model), DUT, connections.
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Procedure: Step-by-step, including all instrument settings (scale, coupling, trigger, RBW, etc.). This is critical for reproducibility.
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Raw Data: Screenshots, data tables. Annotate with settings.
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Analysis: Calculations (e.g., gain from $$\displaystyle S_{21} $$, Q from D), graphs (plot with labeled axes/units), comparison to expected/theoretical values.
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Discussion of Errors/Uncertainty: Identify dominant error sources. Estimate measurement uncertainty if possible.
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Conclusion: State whether objective was met, summarize key findings.
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[!TIP] Golden Rule: Your report should allow someone else to exactly replicate your experiment from your documentation. Missing instrument settings is a fatal flaw.