Hi,
I'm trying to quantify how effective cooling my DSI-Pro is. Everyone's always saying that cool cameras work better but I'd like a way to actually measure this. So last night I took a 5m dark at about 15C and then stuck the DSI-P in the freezer. An hour or so later it was around -10C while taking more 5m darks.
I loaded both darks in PixInsight. The cold one looks smoother but the statistics don't look that different:
hot
____K____
Mean....... 0.1817018
Median..... 0.1655999
StdDev..... 0.0503856
AvgDev..... 0.0347749
Variance... 0.0025387
Minimum.... 0.1330770
MinPos..... (618,344)
Maximum.... 1.0000000
MaxPos..... (121,1)
Count...... 316224
5m, freezer
____K____
Mean....... 0.1781393
Median..... 0.1629362
StdDev..... 0.0472485
AvgDev..... 0.0330379
Variance... 0.0022324
Minimum.... 0.1336080
MinPos..... (636,416)
Maximum.... 1.0000000
MaxPos..... (155,193)
Count...... 316224
Difference:
____K____
Mean....... 0.0276597
Median..... 0.0243506
StdDev..... 0.0203442
AvgDev..... 0.0072733
Variance... 0.0004139
Minimum.... 0.0000000
MinPos..... (155,193)
Maximum.... 1.0000000
MaxPos..... (535,233)
Count...... 316224
The difference was created with pixelmath, hot-cold.
The histograms don't look that differently either.
Do you have a suggestion for how to best compare images like this to quantify noise? What if I had 20 dark frames (same conditions) and wanted to find out the consistency of each dark frame? It seems I sometimes get a 'light' dark frame mixed in and I'd like a way to identify it. I have a suspicion that PCL has the raw tools I need for this.
Thanks,
Sander
