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UID:pretalx-adass2023-QPWXEL@pretalx.com
DTSTART;TZID=MST:20231108T143000
DTEND;TZID=MST:20231108T144500
DESCRIPTION:Scale sensitive solvers are widely used for accurate reconstruc
 tion of extended emission in radio astronomy. The Adaptive Scale Pixel dec
 omposition (Asp) algorithm models the sky brightness by adaptively determi
 ning the optimal scales. It thus gives a significantly better imaging perf
 ormance\, but at a cost of significantly increased computational time. In 
 this report\, we described an improved Asp algorithm that can be used in b
 oth single-frequency and multifrequency mode. It achieves 3x-20x speed up 
 in computational time comparing to the original Asp-Clean algorithm. It al
 so outperforms the current multifrequency imaging techniques.  It is combi
 ned with the scale-insensitive Hogbom CLEAN algorithm to achieve even bett
 er computational efficiency for both compact and diffuse emission. \n\nWe 
 implemented the algorithm in CASA and applied it to data sets from EVLA an
 d ALMA telescopes. We show that this algorithm has performed better than t
 he wide used MS-\nClean and MS-MFS algorithms. It has also achieved imagin
 g performance without the need for hand-tuning of scale sizes or an expens
 ive automasking algorithm\, typically used in pipeline processing (like th
 e current ALMA imaging pipeline).
DTSTAMP:20260415T103238Z
LOCATION:Talks
SUMMARY:An Adaptive-Scale Multi-Frequency CLEAN Deconvolution in CASA for R
 adio Interferometric Images - Genie Hsieh
URL:https://pretalx.com/adass2023/talk/QPWXEL/
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