Both Thousand Oaks Optical and Baader are really well-known in the astro community. They both have been making solar filters for a long time and I doubt they would jeopardize customers safety and their brand recognition like this.
USAF has used SWIR (Short Wave Infra-Red) sensors for a long time already.
No, in astronomy you are interested in reducing the noise for the equivalent of a sub-length. This means that if you combine say 100 images of 5 minutes, the result should be better in terms of noise (and thus DR) than a single 5 minutes exposure. Here we are interested in a totally different normalization which consists in deciding the total number of sub-frames dividing the total exposure (500 minutes with the previous analogy). For a simple stochastic sensor model, the smallest number of sub-frames (1) will *always* be the best.
To prove this, let's say that you will count an average of F electrons in a single pixel over the total exposure time and that each read-out operation follows a 0-mean normal/Gaussian distribution of variance s^2 (normalized in electrons). Then, the stochastic output of the pixel for a single read-out is given by : O ~ Poisson(F) + Normal(0,s^2). If we now decide to divide the observation interval in k sub-frame, we should observe for each : O_k ~ Poisson(F/k) + Normal(0,s^2) as the read-out noise is a constant cost. The standard deviation of the sum of the k sub-frames can be written as follow : sqrt(k*(F/k+s^2)) = sqrt(F+k*s^2). As the local dynamic range D is defined as the ratio between the full flux detected F and the previous standard deviation, we obtain F/sqrt(F+k*s^2). Thus to increase D, you want to reduce the number k of sub-frames recorded down to 1, or reduce the sensor read-noise s (RMS). And ultimately, you will hit the shot-noise limit D = F/sqrt(F).
And every time you read out a sub-frame you are penalized by the read noise... after accumulation of the variances, you end-up with an extremely noisy image. If you want to do that you don't just need a very good quantum efficiency (the probability of a incident photon to be absorbed and to release an electron) you need an almost perfect read-out circuitry (if you want to operate without cooling). Eric Fossum has proposed a "Quanta" binary sensor which would do this with a ~0.15e- RMS read-out noise which has to be compared with the 1.5+e- of the best sensors used in consumer applications today.
Too may resources, not enough problems...
I think the term "hacking" for the election fits perfectly... in the context of the tech audience here. Because hacking does not have, for us, the same meaning that it acquired through the media : that of breaching electronic systems, most often for criminal gain (note the extra negative connotation).
Instead, here its meaning is about finding and implementing a subversive approach to work around the limitations or rules of a system : all the news manipulation, polls, fact-checking wars are the expressions of that hack to attract the voters one way or another.
arXiv:1703.08544, D. TRUMP: Data-mining Textual Responses to Uncover Misconception Patterns
If you want to put yourself on the map, publish your own map.