The Automated Photometry Of Transients (AutoPhOT) pipeline

Brennan, S. J.; Fraser, M.

doi:10.48550/arxiv.2201.02635

Cited by 8 publications

(8 citation statements)

References 18 publications

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“…Code to build the PSF of the images was adapted from the Au-toPHoT pipeline (Brennan & Fraser 2022). This code fits 2D Gaussians to sources in each image in order to accurately determine the FWHM of sources in each dimension as well as the average residual deviation of the sources from a true Gaussian.…”

Section: • Astrometrymentioning

confidence: 99%

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Nothing to see here: Failed supernovae are faint or rare

Byrne,

Fraser

2022

Preprint

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The absence of Type IIP core-collapse supernovae arising from progenitors above 17 solar masses suggests the existence of another evolutionary path by which massive stars end their lives. The direct collapse of a stellar core to a black hole without the production of a bright, explosive transient is expected to produce a long-lived, dim, red transient known as a failed supernova. Despite the detection of a number of candidates for disappearing massive stars in recent years, conclusive observational evidence for failed supernovae remains elusive. A custom-built pipeline designed for the detection of faint transients is used to re-analyse 10 years of observations of 231 nearby galaxies from the PTF/ZTF surveys. This analysis recovers known supernovae, and yields a number of interesting transients. However, none of these are consistent with a failed supernova. Through Monte Carlo tests the recovery efficiency of our pipeline is quantified. By assuming failed supernovae occur as a Poissonian process with zero detections in the data set, 95 per cent upper limits to the rate of failed supernovae are calculated as a function of failed supernova absolute magnitude. We estimate failed supernovae to be less than 0.61, 0.33, 0.26, or 0.23 of the core-collapse SN rate for absolute magnitudes of −11, −12, −13, and −14 respectively. Finally, we show that if they exist, the Vera C. Rubin Observatory will find 1.7 -3.7 failed SNe per year for an absolute bolometric luminosity of ∼ 6 × 10 39 erg s −1 out to distances of 33 -43 Mpc, depending on their assumed spectral energy distribution.

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Section: • Astrometrymentioning

confidence: 99%

“…To check this, further photometry was carried out using AutoPhoT (Brennan & Fraser 2022). The light curve produced from the Au-toPhoT photometry is shown in Figure 11.…”

Section: Ngc4258ot2010-01mentioning

confidence: 99%

Nothing to see here: Failed supernovae are faint or rare

Byrne,

Fraser

2022

Preprint

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“…The main challenge is not only to coordinate responses to alerts within 48 hours globally, but also to build a realtime data reduction pipeline that is able to digest heterogeneous data from a diverse set of telescopes in order to produce refined data in between consecutive ZTF observations. Although this general problem of calibration, explored for example in Perley et al (2019); Brennan & Fraser (2022), is not new, it is crucial for the progress of transient and GW science. The larger objective is therefore to efficiently characterize all of the candidate transients through the use of optimal filter choices and multiple early-time observations, in order to rapidly rule out (or confirm) the nature of the transient as a KN.…”

Section: Introductionmentioning

confidence: 99%

GRANDMA Observations of ZTF/Fink Transients during Summer 2021

Aivazyan,

Almualla,

Antier

et al. 2022

Preprint

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We present our follow-up observations with GRANDMA of transient sources revealed by the Zwicky Transient Facility (ZTF). Over a period of six months, from 1 April to 30 September 2021, all ZTF triggers were examined in real time by a dedicated science module implemented in the Fink broker, which will be used for the data processing of the Vera C. Rubin Observatory. In this article, we present three selection methods to identify promising kilonova candidates. Out of more than 35 million candidates, a hundred sources have passed our selection criteria. Six were then followed-up by GRANDMA (by both professional and amateur astronomers). The majority were finally classified either as asteroids or as supernovae events. We then demonstrate the added value of a substantial follow-up campaign of optical transients. We mobilized 37 telescopes, bringing together a large sample of images, taken under various conditions and quality. To complement the orphan kilonova candidates (those without associated gamma-ray bursts, which were all), we included three additional supernovae alerts to conduct further observations of during summer 2021. We demonstrate the importance of the amateur astronomer community that contributed from one to 23 images within the first two days after the Fink alert for scientific analyzes of new sources discovered in a magnitude range r = 17 − 19 mag. We based our rapid kilonova classification on the decay rate of the optical source that should exceed 0.3 mag/day. GRANDMA's follow-up determined the fading rate within 1.5 ± 1.2 days post-discovery, without waiting for further observations from ZTF. No confirmed kilonovae were discovered during our observing campaign. This work will be continued in the coming months in the view of preparing for kilonova searches in the next gravitational-wave observing run O4 and the commissioning of the Vera C. Rubin Observatory.

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“…In particular, one prevalent approach is the algorithm initially proposed by Alard and Lupton (1998) and further developed by a series of works (Alard, 2000;Bramich, 2008;Becker et al, 2012;Bramich et al, 2013;. This technique has been extensively used in the transient detection pipelines (Zhang et al, 2015;Andreoni et al, 2017;Masci et al, 2019;Zhang et al, 2020;Brennan and Fraser, 2022). In the last decade, it has played an important role in many successful time-domain survey programs, including intermediate Palomar Transient Factory (Cao et al, 2016), Dark Energy Survey (Morganson et al, 2018), and Panoramic Survey Telescope And Rapid Response System-1 (PS1 hereafter, Price and Magnier, 2019).…”

Section: Introductionmentioning

confidence: 99%

Pipeline for the Antarctic Survey Telescope 3-3 in Yaoan, Yunnan

Sun

Zhang

et al. 2022

Front. Astron. Space Sci.

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AST3-3 is the third robotic facility of the Antarctic Survey Telescopes (AST3) for transient surveys to be deployed at Dome A, Antarctica. Due to the current pandemic, the telescope has been currently deployed at the Yaoan Observation Station in China, starting the commissioning observation and a transient survey. This article presented a fully automatic data processing system for AST3-3 observations. The transient detection pipeline uses state-of-the-art image subtraction techniques optimized for GPU devices. Image reduction and transient photometry are accelerated by concurrent task methods. Our Python-based system allows for transient detection from wide-field data in a real-time and accurate way. A ResNet-based rotational-invariant neural network was employed to classify the transient candidates. As a result, the system enables the auto-generation of transients and their light curves.

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The Automated Photometry Of Transients (AutoPhOT) pipeline

Cited by 8 publications

References 18 publications

Nothing to see here: Failed supernovae are faint or rare

Nothing to see here: Failed supernovae are faint or rare

GRANDMA Observations of ZTF/Fink Transients during Summer 2021

Pipeline for the Antarctic Survey Telescope 3-3 in Yaoan, Yunnan

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