2020
DOI: 10.5281/zenodo.4044744
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astropy/photutils: 1.0.0

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Cited by 217 publications
(84 citation statements)
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“…First we use - (Bertin & Arnouts 1996) to generate segmentation maps, from these maps we construct the masks simply by removing the galaxy segmentation in each image. We identify the centre of the galaxies as the brightest pixel inside their segmentation and use it as a first guess for the fitting of elliptical isophotes with isophotal analysis routines (Bradley et al 2020). Once the models capture the overall brightness distribution in the data, we estimate the mean ellipticity (𝜖) and position angle (PA) from the model elliptical isophotes, excluding the innermost and outermost ellipses.…”
Section: Photometric Methodsmentioning
confidence: 99%
“…First we use - (Bertin & Arnouts 1996) to generate segmentation maps, from these maps we construct the masks simply by removing the galaxy segmentation in each image. We identify the centre of the galaxies as the brightest pixel inside their segmentation and use it as a first guess for the fitting of elliptical isophotes with isophotal analysis routines (Bradley et al 2020). Once the models capture the overall brightness distribution in the data, we estimate the mean ellipticity (𝜖) and position angle (PA) from the model elliptical isophotes, excluding the innermost and outermost ellipses.…”
Section: Photometric Methodsmentioning
confidence: 99%
“…The Gravitational-wave Optical Transient Observer (GOTO) project acknowledges the support of the Monash This research has made use of data and/or services provided by the International Astronomical Union's Minor Planet Center. This research has also made use of the following Python packages: Astropy (Astropy Collaboration et al 2013, numpy (Harris et al 2020), scipy (Virtanen et al 2020), healpy (Zonca et al 2019), Astrolib PySynphot (Lim et al 2015), astroplan (Morris et al 2018), pandas (McKinney et al 2010, photutils (Bradley et al 2020), and scikitlearn (Pedregosa et al 2011).…”
Section: Acknowledgementsmentioning
confidence: 99%
“…We download the 𝑔, 𝑟 and 𝑖-band images of each Pan-STARRS skycell. Then, we detect all objects in the 𝑟 band with the detect_source function of the library (Bradley et al 2020) in . To meet our detection threshold, an object must be at least 48 pixels in length with at least 15 connected pixels above 4 standard deviations of the background level.…”
Section: Candidate Selection From the Pan-starrs Imagesmentioning
confidence: 99%
“…The catalogue of edge-on galaxy candidates consists of a number of tables (Makarov & Antipova 2021, Section 2.4). The list of candidates was prepared using the library (Bradley et al 2020) as described in Section 2. In total, it contains 22,727 genuine galaxies.…”
Section: Database and Cataloguementioning
confidence: 99%