Spatial Region Filtering in IRAF PROS

Michael Van Hilst; E. Mandel; J. Roll; D. Schmidt; R. Burg

Spatial Region Filtering in IRAF PROS

Michael Van Hilst
, E. Mandel
, J. Roll
, D. Schmidt
, R. Burg

Research output: Contribution to conference › Presentation

Abstract

We describe a spatial region filtering scheme in IRAF that allows users to specify one or more geometric shapes to be included or excluded when masking spatial data. These shapes can be combined using Boolean algebra to create the complex masks required for X-ray analysis.

Original language	American English
State	Published - Jan 1 1993
Event	Astronomical Data Analysis Software and Systems II - Duration: Jan 1 1993 → …

Conference

Conference	Astronomical Data Analysis Software and Systems II
Period	1/1/93 → …

Disciplines

Computer Sciences

Cite this

@conference{f8f9ab19e04e4c2e87004df393e094d1,

title = "Spatial Region Filtering in IRAF PROS",

abstract = " We describe a spatial region filtering scheme in IRAF that allows users to specify one or more geometric shapes to be included or excluded when masking spatial data. These shapes can be combined using Boolean algebra to create the complex masks required for X-ray analysis.",

author = "\{Van Hilst\}, Michael and E. Mandel and J. Roll and D. Schmidt and R. Burg",

year = "1993",

month = jan,

day = "1",

language = "American English",

note = "Astronomical Data Analysis Software and Systems II ; Conference date: 01-01-1993",

}

TY - CONF

T1 - Spatial Region Filtering in IRAF PROS

AU - Van Hilst, Michael

AU - Mandel, E.

AU - Roll, J.

AU - Schmidt, D.

AU - Burg, R.

PY - 1993/1/1

Y1 - 1993/1/1

N2 - We describe a spatial region filtering scheme in IRAF that allows users to specify one or more geometric shapes to be included or excluded when masking spatial data. These shapes can be combined using Boolean algebra to create the complex masks required for X-ray analysis.

AB - We describe a spatial region filtering scheme in IRAF that allows users to specify one or more geometric shapes to be included or excluded when masking spatial data. These shapes can be combined using Boolean algebra to create the complex masks required for X-ray analysis.

UR - https://nsuworks.nova.edu/gscis_facpres/564

UR - https://nsuworks.nova.edu/gscis_facarticles/461

M3 - Presentation

T2 - Astronomical Data Analysis Software and Systems II

Y2 - 1 January 1993

ER -

Spatial Region Filtering in IRAF PROS

Abstract

Conference

Disciplines

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