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I have been chatting with @G-Sommani about how to implement "pointed" scans. This would allow to investigate, for example, different sky regions compared to the one to which the scan iterations converge.
The relevant logic is in start_scan.py, specifically the PixelsToReco class.
The simplest way of doing this is to pass a pair of coordinates to start_scan and select only the first-NSIDE pixel pointed by those coordinates (instead of scanning/refining all the pixels). So the set of changes could be fairly minimal.
SkyDriver will have to support the additional input.
A logic of the type "scan a given radius around given coordinates" to determine the corresponding appropriate NSIDE sequence can be implemented in SkyMist.
The text was updated successfully, but these errors were encountered:
It scans at max NSIDE around given coordinates and with a given radius. It is a bit more rigid than what I had in mind but also does not require any additional logic.
All there is to do is back-propagate the arguments up to start_scan.py.
I have been chatting with @G-Sommani about how to implement "pointed" scans. This would allow to investigate, for example, different sky regions compared to the one to which the scan iterations converge.
The relevant logic is in start_scan.py, specifically the
PixelsToReco
class.The simplest way of doing this is to pass a pair of coordinates to
start_scan
and select only the first-NSIDE pixel pointed by those coordinates (instead of scanning/refining all the pixels). So the set of changes could be fairly minimal.SkyDriver will have to support the additional input.
A logic of the type "scan a given radius around given coordinates" to determine the corresponding appropriate NSIDE sequence can be implemented in SkyMist.
The text was updated successfully, but these errors were encountered: