# Titan's Sweep Data

# 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:

```
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```

```
>>> 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 100msGround 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:

```
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```

```
>>> 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 100msGround 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:

```
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```

```
>>> 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:

```
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```

```
>>> 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']
```