emicorr memory and run time improvement

[stscijgbot-jp]

Issue JP-3770 was created on JIRA by Maria Pena-Guerrero:

While working on optimizing Detector1 memory usage and runtime, I found that this small change made a big improvement for the performance of the emicorr step:

emicorr.py script, staring at line 441

 

# Safety catch; anywhere the noise value is not finite, set it to zero 
dd_noise[~np.isfinite(dd_noise)] = 0.0

# Subtract EMI noise from the input data        
log.info('Subtracting EMI noise from data')

 # Interleave (straight copy) into 4 amps        
noise_x = np.arange(nx4) * 4        
for k in range(4):            
    output_model.data[..., noise_x + k] = output_model.data[..., noise_x + k] - dd_noise

then add the dd_noise array to the deletion statements