25 research outputs found

    Constraining the role of novae as progenitors of Type Ia Supernovae

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    (Abridged) White dwarfs (WDs) undergoing unstable nuclear burning on their surfaces, resulting in the nova phenomenon, have been considered as one of the prospective candidates for the still elusive progenitors of SNeIa. We propose that statistics of novae in nearby galaxies may be a powerful tool to gauge the role of such systems in producing SNeIa. Using multicycle nova evolutionary models, we compute the number and temporal distribution of novae that would be produced by a typical (unstably burning) SNIa progenitor before reaching the Chandrasekhar mass limit (M_ch) and exploding. Combined with the observed nova rates, this can be used to constrain the maximal contribution of the nova channel to the SNIa rate in nearby galaxies. The M31 nova rate measured by the POINT-AGAPE survey is 65/yr. Assuming that all these novae will reach M_ch, we obtain the maximal SNIa rate novae may produce to be (1-5)x10^-4/yr. This constrains the overall contribution of the nova channel to the SNIa rate in M31 at <2-7%. Furthermore, ~80% of novae generated by a successful SNIa progenitor have short decay times (t2<10 days), and are produced when the WD mass is close to M_ch. We point out that statistics of such fast novae can provide a sensitive diagnostic of the contribution of the nova channel to the final stages of mass accumulation by the single degenerate (SD) SNIa progenitors. To explore the prospects of their use, we investigate the efficiency of detecting fast novae in an M31 nova survey of the PTF class. We find that a survey with limiting magnitude of m_R~22 observing at least every 2nd night will catch ~90% of fast novae expected in the SD scenario. Such surveys should be detecting fast novae in M31 at a rate of the order of >10^3xf per yr, where f is the fraction of SNeIa which accreted in the unstable nuclear burning regime while accumulating the final ~0.1M_sun before the SNIa explosion.Comment: 14 pages, A&A, in pres

    Novae

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    Novae

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    Prediction of Supernova Rates in Known Galaxy-galaxy Strong-lens Systems

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    We propose a new strategy of finding strongly-lensed supernovae (SNe) by monitoring known galaxy-scale strong-lens systems. Strongly lensed SNe are potentially powerful tools for the study of cosmology, galaxy evolution, and stellar populations, but they are extremely rare. By targeting known strongly lensed starforming galaxies, our strategy significantly boosts the detection efficiency for lensed SNe compared to a blind search. As a reference sample, we compile the 128 galaxy-galaxy strong-lens systems from the Sloan Lens ACS Survey (SLACS), the SLACS for the Masses Survey, and the Baryon Oscillation Spectroscopic Survey Emission-Line Lens Survey. Within this sample, we estimate the rates of strongly-lensed Type Ia SN (SNIa) and core-collapse SN (CCSN) to be 1.23±0.121.23 \pm 0.12 and 10.4±1.110.4 \pm 1.1 events per year, respectively. The lensed SN images are expected to be widely separated with a median separation of 2 arcsec. Assuming a conservative fiducial lensing magnification factor of 5 for the most highly magnified SN image, we forecast that a monitoring program with a single-visit depth of 24.7 mag (5σ\sigma point source, rr band) and a cadence of 5 days can detect 0.49 strongly-lensed SNIa event and 2.1 strongly-lensed CCSN events per year within this sample. Our proposed targeted-search strategy is particularly useful for prompt and efficient identifications and follow-up observations of strongly-lensed SN candidates. It also allows telescopes with small field of views and limited time to efficiently discover strongly-lensed SNe with a pencil-beam scanning strategy.Comment: 14 pages, 5 figures, ApJ in pres

    A novel method for transient detection in high-cadence optical surveys: Its application for a systematic search for novae in M31

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    [abridged] In large-scale time-domain surveys, the processing of data, from procurement up to the detection of sources, is generally automated. One of the main challenges is contamination by artifacts, especially in regions of strong unresolved emission. We present a novel method for identifying candidates for variables and transients from the outputs of such surveys' data pipelines. We use the method to systematically search for novae in iPTF observations of the bulge of M31. We demonstrate that most artifacts produced by the iPTF pipeline form a locally uniform background of false detections approximately obeying Poissonian statistics, whereas genuine variables and transients as well as artifacts associated with bright stars result in clusters of detections, whose spread is determined by the source localization accuracy. This makes the problem analogous to source detection on images produced by X-ray telescopes, enabling one to utilize tools developed in X-ray astronomy. In particular, we use a wavelet-based source detection algorithm from the Chandra data analysis package CIAO. Starting from ~2.5x10^5 raw detections made by the iPTF data pipeline, we obtain ~4000 unique source candidates. Cross-matching these candidates with the source-catalog of a deep reference image, we find counterparts for ~90% of them. These are either artifacts due to imperfect PSF matching or genuine variable sources. The remaining ~400 detections are transient sources. We identify novae among these candidates by applying selection cuts based on the expected properties of nova lightcurves. Thus, we recovered all 12 known novae registered during the time span of the survey and discovered three nova candidates. Our method is generic and can be applied for mining any target out of the artifacts in optical time-domain data. As it is fully automated, its incompleteness can be accurately computed and corrected for.Comment: 16 pages, 8 figures, accepted to A&

    Variability of Red Supergiants in M31 from the Palomar Transient Factory

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    Most massive stars end their lives as Red Supergiants (RSGs), a short-lived evolution phase when they are known to pulsate with varying amplitudes. The RSG period-luminosity (PL) relation has been measured in the Milky Way, the Magellanic Clouds and M33 for about 120 stars in total. Using over 1500 epochs of R-band monitoring from the Palomar Transient Factory (PTF) survey over a five-year period, we study the variability of 255 spectroscopically cataloged RSGs in M31. We find that all RGSs brighter than M_K~ -10 mag (log(L/L_sun)>4.8) are variable at dm_R>0.05 mag. Our period analysis finds 63 with significant pulsation periods. Using the periods found and the known values of M_K for these stars, we derive the RSG PL relation in M31 and show that it is consistent with those derived earlier in other galaxies of different metallicities. We also detect, for the first time, a sequence of likely first-overtone pulsations. Comparison to stellar evolution models from MESA confirms the first overtone hypothesis and indicates that the variable stars in this sample have 12 M_sun<M<24 M_sun. As these RSGs are the immediate progenitors to Type II-P core-collapse supernovae (SNe), we also explore the implication of their variability in the initial-mass estimates for SN progenitors based on archival images of the progenitors. We find that this effect is small compared to the present measurement errors.Comment: 17 pages, 10 figure

    AT 2020iko: a WZ Sge-type DN candidate with an anomalous precursor event

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    The ongoing Zwicky Transient Facility (ZTF) survey is generating a massive alert rate from a variety of optical transients and variable stars, which are being filtered down to subsets meeting user-specified criteria by broker systems such as ANTARES. In a beta implementation of the algorithm of Soraisam et al. (2020) on ANTARES, we flagged AT 2020iko from the ZTF real-time alert stream as an anomalous source. This source is located close to a red extended SDSS source. In the first few epochs of detection, it exhibited a V-shaped brightness profile, preceded by non-detections both in ZTF and in ASASSN extending to 2014. Its full light curve shows a precursor event, followed by a main superoutburst and at least two rebrightenings. A low-resolution spectrum of this source points to a dwarf nova (DN) nature. Although some of the features of AT 2020iko indicate an SU UMa-type DN, its large amplitude, presence of rebrightenings, and inferred supercycle period of > 6 yr are in favor of AT 2020iko being a new WZ Sge-type dwarf nova candidate, a subset of rare DNe consisting of extreme mass-ratio (< 0.1) binaries with orbital period around the period minimum. AT 2020iko's precursor event brightened by 6.5 mag, while its decay spanned 3-5 mag. We speculate this superoutburst is associated with a less expanded accretion disk than in typical superoutbursts in WZ Sge systems, with the large depth of the precursor decay implying an extremely small mass-ratio. To the best of our knowledge, such a precursor event has not been recorded for any DN. This result serves to demonstrate the efficacy of our real-time anomaly search algorithm.Comment: 11 pages, 4 figures; accepted to A
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