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Titan's Sweep Data

Titan's Sweep Data

Raw sweep data gathered by @Titan Yuan.

LC_frequency sweep vs. LC coarse, mid, fine

count_LC vs. LC coarse, mid, and fine codes (LC_code is a 15-bit integer: {coarse[4:0], mid[4:0], fine[4:0]})

Sweep parameters:

  • Board: Q4

  • Divider was on (divide ratio: 960)

  • Measured count_LC against optical SFD interrupts with a period of 100ms

To use this data in Python:

>>> import numpy as np >>> data = np.load("LC_sweep_data_20190921_201251.npz") >>> data.files ['LC_code', 'coarse', 'mid', 'fine', 'counts_LC'] >>> data['counts_LC'] array([221315, 221325, 221335, ..., 264747, 264753, 264767]) >>> coarse, mid, fine, LC_code, counts_LC = data['coarse'], data['mid'], data['fine'], data['LC_code'], data['counts_LC']

Counters vs. temperature

count_32k, count_HFclock, count_2M, count_LC, count_IF vs. temperature

Sweep parameters:

  • Board: Q4

  • Divider was on (divide ratio: 960), LC calibrated to around 2.402GHz at room temperature between sweep

  • Measured the counters with RFTimer interrupts derived from HCLK with a period of 100ms

  • Ground truth temperature given by TMP102 board

  • Temperature starts at room temperature, decreases to around 5C, ramps up to 80C, and finally ramps back down to 25C (total sweep time around 40 minutes)

To use this data in Python:

>>> import numpy as np >>> data = np.load("all_counters_temp_data_20190913_194220.npz") >>> data.files ['counts_32k', 'counts_HFclock', 'counts_2M', 'counts_LC', 'counts_IF', 'temperature'] >>> data['temperature'] array([29.88, 30.69, 30.69, ..., 25.81, 25.81, 25.75]) >>> counts_32k, counts_HFclock, counts_2M, counts_LC, counts_IF, temperature = data['counts_32k'], data['counts_HFclock'], data['counts_2M'], data['counts_LC'], data['counts_IF'], data['temperature']

2M and 32k counters vs. temperature

count_32k, count_2M vs. temperature

Sweep parameters:

  • Board: Q4

  • Divider was off

  • Measured the counters with RFTimer interrupts derived from HCLK with a period of 100ms

  • Ground truth temperature given by TMP102 board

  • Temperature starts at room temperature, ramps down to 5C, ramps up to 80C, and ramps back down to 25C (ramp rate is 1.5C/min)

To use this data in Python:

>>> import numpy as np >>> data = np.load("2M_32k_counter_temp_data_20191020_190447.npz") >>> data.files ['counts_2M', 'counts_32k', 'temperature'] >>> data['temperature'] array([28.13, 28.13, 28.19, ..., 26.19, 26.19, 26.19]) >>> counts_32k, counts_2M, temperature = data['counts_32k'], data['counts_2M'], data['temperature']

2M and 32k counters vs. time

count_32k, count_2M over 45 minutes (~24000 values)

Sweep parameters:

  • Board: Q4

  • Divider was on

  • Measured the counters against optical SFD interrupts with a period of 100ms

To use this data in Python:

>>> import numpy as np >>> data = np.load("2M_32k_counter_data_20191113_211305.npz") >>> data.files ['counts_2M', 'counts_32k'] >>> len(data['counts_2M']) 24433 >>> counts_32k, counts_2M = data['counts_32k'], data['counts_2M']