CP-FTMW Data
A CP-FTMW experiment writes the chirp, clock, and marker definitions
alongside the general experiment files. The acquired
FIDs and their processing state live in a fid subfolder — numbered
0.csv, 1.csv, … plus fidparams.csv, processing.csv, and
peakfind.csv — and overlays created for the experiment are saved
under an overlays subfolder and restored when the experiment is
reopened.
chirps.csv
This file contains information about the CP-FTMW chirps. A single chirp may be built from multiple segments (any of which may be empty), and each segment has a starting frequency, an ending frequency, and a duration. Example:
Chirp;Segment;StartMHz;EndMHz;DurationUs;Alpha;Empty
0;0;4895;1520;2;-1687.5;false
The first column (Chirp) is an index identifying the chirp, and the
second (Segment) identifies which segment of the chirp is being
described. In this experiment, a single chirp consists of one segment
starting at 4895 MHz and ending at 1520 MHz, with a duration of 2
microseconds. The Alpha column is the sweep rate in MHz/μs. If the
Empty column is true, then the start and end values are ignored, and
the segment contains just 0 over the indicated duration.
An entire experiment may consist of many different chirps. The example below shows an LO scan in which each of 20 identical chirps is recorded at each LO tuning:
Chirp;Segment;StartMHz;EndMHz;DurationUs;Alpha;Empty
0;0;4895;1520;1;-3375;false
1;0;4895;1520;1;-3375;false
...
19;0;4895;1520;1;-3375;false
Note
The frequencies and sweep rate in chirps.csv refer to AWG
frequencies. The actual chirp range depends on the
RF Configuration.
clocks.csv
This file contains the configuration of the clocks (upconversion LO, downconversion LO, etc.) as discussed on the RF Configuration page. In a typical CP-FTMW experiment, each clock is set to a single value. Example:
Index;ClockType;FreqMHz;Operation;Factor;HwKey;OutputNum
0;UpLO;11520;Multiply;2;Clock.virtual;0
0;DownLO;40960;Multiply;8;Clock.virtual;1
In some cases (e.g., an LO Scan or a DR Scan), one or more of the clocks may be tuned to different values throughout the experiment. The following is an excerpt from an LO scan in which the upconversion and downconversion LOs were each stepped by 250 MHz:
Index;ClockType;FreqMHz;Operation;Factor;HwKey;OutputNum
0;DownLO;40960;Multiply;8;Clock.virtual;1
0;UpLO;11520;Multiply;2;Clock.virtual;0
0;DRClock;7000;Multiply;1;Clock.virtual;2
1;DownLO;41210;Multiply;8;Clock.virtual;1
1;UpLO;11770;Multiply;2;Clock.virtual;0
1;DRClock;7000;Multiply;1;Clock.virtual;2
2;DownLO;41460;Multiply;8;Clock.virtual;1
2;UpLO;12020;Multiply;2;Clock.virtual;0
2;DRClock;7000;Multiply;1;Clock.virtual;2
The Index column refers to each step of the experiment. ClockType
identifies the particular clock role (UpLO, DownLO, AwgRef, DRClock,
DigRef, or ComRef). FreqMHz is the logical clock frequency in MHz.
Operation (Multiply or Divide) and Factor account for any
frequency divider or multiplier on the clock output, and these values are
used to determine how to convert the logical frequencies into hardware
frequency. HwKey and OutputNum identify which piece of hardware
was used and which output (in the event that the clock has multiple
outputs).
markers.csv
This file contains the AWG marker channel definitions for the experiment. Marker channels are output signals generated by the AWG in synchrony with the chirp waveform, used for purposes such as protecting the receiver amplifier (Protection role), enabling an amplifier gate (Gate role), triggering other instruments (Trigger role), or arbitrary user-defined purposes (Custom role). The number of available marker channels depends on the AWG model. For details on configuring marker channels in the user interface, see Markers Tab.
The columns are:
Channel: Zero-based marker channel index.Name: User-defined label for the channel.Role: One ofProtection,Gate,Trigger, orCustom.TimingMode:ChirpRelative(timing is repeated relative to each chirp start/end) orAbsolute(timing is relative to the first chirp start and fires once per waveform).StartUs: Start time in microseconds. ForChirpRelativemode, this is relative to the chirp start (negative values begin before the chirp starts). ForAbsolutemode, this is relative to the first chirp start.EndUs: End time in microseconds. ForChirpRelativemode, this is relative to the chirp end (positive values extend past the chirp end).Enabled: Whether the marker channel is active.
Example for a two-channel AWG with a protection pulse on channel 0 and an amplifier gate on channel 1:
Channel;Name;Role;TimingMode;StartUs;EndUs;Enabled
0;Protection;Protection;ChirpRelative;-0.5;0.5;true
1;Gate;Gate;ChirpRelative;-0.5;0.5;true
If no AWG is configured with marker support (markerCount == 0), this
file is not written.
fid/fidparams.csv
This file contains the information needed to convert raw FID data into numerical values, as well as the information needed to determine the appropriate frequency values following a Fourier transform. Example:
index;spacing;probefreq;vmult;shots;sideband;size
0;2e-11;40960;0.000390625;100;LowerSideband;750000
In this example, 100 shots were recorded at a single clock configuration.
For LO scan experiments with multiple clock configurations, there will be
one row per configuration, and the index column identifies the
corresponding FID CSV file (e.g. 0.csv, 1.csv, etc.). The size
column gives the number of points in the FID.
Blackchirp does not store the averaged digitizer voltage. Instead, it
stores the sum of the raw digitizer readings. To convert the FID values
to average voltage, multiply the numbers in the FID file by vmult and
divide by shots. The vmult column contains the conversion between
digitization levels and voltage, while shots contains the number of
digitizer readings that have been summed.
For calculating the frequency axis of the FT, spacing gives the time
between samples in seconds, probefreq gives the downconversion LO
frequency in MHz, and sideband tells whether the FT frequency should
be added (UpperSideband or 0) or subtracted (LowerSideband or 1) from
probefreq.
fid/N.csv — FID files
In an effort to balance plaintext readability, ease of integration with other analysis software, and file size, the summed digitizer values are written as base-36 signed integers. A simple example may begin with:
fid0
-7n
-k
10
-p
-21
6j
-8o
-2v
4c
-2x
-1s
-11
The first row is a column label, and each subsequent row contains a single FID point (e.g., -7n = -275). In some configurations, the FID file may contain data from multiple frames, as shown in the example below which has 20 FIDs (only the first 9 points for each FID are shown):
fid0;fid1;fid2;fid3;fid4;fid5;fid6;fid7;fid8;fid9;fid10;fid11;fid12;fid13;fid14;fid15;fid16;fid17;fid18;fid19
-33;-1u;-22;7z;-4r;-4r;36;-4t;-r;2m;-as;-bk;1g;-8j;-3u;-50;-73;-b1;1u;-5s
-w;-5v;-4p;7u;-br;-2j;-2n;-7h;-3v;-8z;-5t;-89;-5p;-be;23;-4e;q;-2l;-4a;-ck
4g;-5f;2t;h;-i9;-a3;-d1;-r;-n;-hg;6c;-4p;-k1;-99;-31;-2z;-6i;-a0;-3w;-bw
32;-cr;i;-9q;-b4;-bi;-2w;4c;5s;-iv;72;-7m;-7a;-2j;-6s;-cj;-77;-hj;2z;-e5
-22;-l9;-72;-af;-82;4;-3j;-6a;-8e;-9l;-59;-2g;3n;m;-ch;-el;-l;-f7;-e;-gc
-4o;-fi;-2e;-c0;-bk;58;-8w;-dj;-bo;-2z;-7v;6d;-6p;-6f;-i2;-8p;-8l;-au;-49;-68
-5o;-3p;-9;-bv;-cu;-3e;2v;-6c;-1y;1j;-6v;5b;-2x;-9f;-dl;-4y;-ex;-2f;-3o;-8
-az;-33;-99;-4r;-ee;-9p;-8e;-2l;-dk;56;-fq;-3t;38;3a;-7f;-4a;-2b;3m;-e;-4t
-bg;-82;-6s;-7r;-8k;-3o;-id;-2j;-i9;3f;-gw;-7c;-6b;-r;-57;-4v;-2o;-h;-3r;-20
fid/processing.csv
This file contains the default processing settings associated with the FID data. An example is shown below:
ObjKey;Value
AutoscaleIgnoreMHz;0
FidEndUs;15
FidExpfUs;0
FidRemoveDC;false
FidStartUs;0
FidWindowFunction;None
FidZeroPadFactor;0
FtUnits;6
The FtUnits value refers to a scaling factor of 10N (i.e., a
setting of 6 converts the FT from units of V to μV). The window functions
are shown below, where N is the number of samples and n ranges
from 0 to N-1:
None/Boxcar (0)
Bartlett (1)
Blackman (2)
BlackmanHarris (3)
Hamming (4)
Hanning (5)
KaiserBessel (6). I0 = regular modified cylindrical Bessel function, β=14.0
fid/peakfind.csv
This file records the peak-finder search settings associated with the
experiment. It stores the values used by the
Peak Find panel, so an experiment
reopened later restores its own search parameters. An experiment with no
peakfind.csv uses the application-wide defaults, which are updated
whenever the options are changed.
The file uses the standard ObjKey;Value metadata layout:
ObjKey;Value
PeakMaxFreqMHz;26000
PeakMinFreqMHz;8000
PeakNavHalfWidthMHz;2
PeakPolyOrder;3
PeakSnr;5
PeakWindowSize;11
The keys correspond to the controls in the Peak Finding Options dialog:
PeakMinFreqMHz,PeakMaxFreqMHz— frequency range searched for peaks, in MHz.PeakSnr— signal-to-noise ratio threshold for detection.PeakWindowSize— Savitzky-Golay smoothing window size (odd).PeakPolyOrder— Savitzky-Golay polynomial order.PeakNavHalfWidthMHz— half-width, in MHz, of the window used when centering a plot on a selected peak.
overlays/overlays.csv
For each overlay defined for the experiment,
the overlays subfolder stores a combination of CSV files that preserve
the overlay data and all of its configuration settings. This master file
lists all overlays associated with the
experiment. Each overlay is identified by its label, and the value
indicates the overlay type: 0 = Blackchirp Experiment, 1 = Catalog,
2 = Generic XY Data. The file also stores version information for
compatibility tracking. Example:
ObjKey;Value
BCBuildVersion;"508a6973c274ae9fcf24f0949ba70970b7c51d39"
BCMajorVersion;2
BCMinorVersion;0
BCPatchVersion;0
BCReleaseVersion;devel
Exp17;0
c047527_full;1
overlays/[label].* — per-overlay files
For each overlay listed in overlays.csv, two additional files are
created:
- [label].settings.csv
Contains all configuration parameters for the overlay, including:
Source file path and overlay type-specific settings
Curve appearance properties (color, line style, thickness, visibility)
Data processing parameters (scaling, offsets, frequency filtering)
Plot assignment and display preferences
Version information for compatibility
Example for a catalog overlay:
ObjKey;Value catalogConvolutionEnabled;false catalogLineshapeType;Gaussian catalogLinewidthKHz;100 catalogTransitionCount;87 curve_color;#40963a curve_thickness;2 enabled;true label;c047527_full sourceFile;/path/to/catalog.cat yScale;-25056766.9100865
- [label].data.csv
Contains the processed overlay data ready for display, with columns for frequency (X) and intensity (Y) values. The data format varies by overlay type:
Catalog overlays: Frequencies and intensities of peaks, along with other transition metadata (quantum numbers, etc.).
Generic XY overlays: The parsed and filtered XY data from the source file.
Blackchirp Experiment overlays: The Fourier transform data from the referenced experiment.
The data files use standard CSV format with semicolon separators, maintaining consistency with other Blackchirp data files.