I'll be giving a PixInsight workshop this coming July 29th in San Jose (California).

For those in the area or nearby that may be interested, here's the details:

PIXINSIGHT WORKSHOP

SPEAKER: Rogelio Bernal Andreo
VENUE: Houge Park, San Jose( http://maps.google.com/maps?q=37.256997,-121.941941&num=1&t=h&z=20 )
DATE: July 29th, 2012
TIME: 10am to 1pm
REGISTRATION: $50 (drinks and snacks will be provided)

HOW TO PAY:
Paypal recommended. Send payment to rba (..a..) elistas.com. Please write your name in the PayPal message. If you can't use PayPal, send me an email at the same email address.

IMPORTANT: Unfortunately, registration fees can NOT be collected at the venue. Payment needs to be done in advance. This is a requirement from the City of San Jose. So please, no drop-by's unless you register in advance.

WHAT YOU NEED TO BRING:

It's recommended to bring your own laptop (there are power plugs, but it's better if you bring it with the batteries fully loaded) with PixInsight installed. This is not a requirement, but I'd expect some of you could follow the workshop while all of us working on the same set of images. If time allows, we can do a quick processing of some of your data, but I expect time will be tight. I'll be available after the workshop for more informal Q&A's.


WHAT WILL BE COVERED:

There'll be a bit for everyone, and I'll make sure nobody feels like wasting time - that includes those at an advanced level while I explain the basics, and viceversa.

This is just a tentative summary at this time of the topics that will be covered:

For those who are starting:
- How to take advantage of PixInsight's unique interface
- Image calibration, registration and integration (stacking)
- LRGB combination and debayering
- In depth explanation of most must-know processes (histogram, curves, saturation, DBE, color calibration, etc)

For those who are at an intermediate level:
- Star masks: how to build successful masks and when (this is in fact a huge topic)
- Pulling faint data from the noise floor
- Advanced noise reduction techniques

For those who are at an advanced level:
- Tricks using morphological transformations
- The high dynamic range problem
- The perfect gradient removal
- Multiscale techniques: when, how and why
- Building seamless mosaics

There'll be a time for Q&A, so be prepared to come with your questions!!

Any questions, let me know.