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Featured researches published by Gary Doran.


The Astrophysical Journal | 2017

Common Envelope Ejection for a Luminous Red Nova in M101

N. Blagorodnova; R. Kotak; J. Polshaw; Mansi M. Kasliwal; Y. Cao; Ann Marie Cody; Gary Doran; N. Elias-Rosa; M. Fraser; C. Fremling; Carlos González-Fernández; J. Harmanen; Jacob E. Jencson; E. Kankare; R. P. Kudritzki; S. R. Kulkarni; E. A. Magnier; I. Manulis; Frank J. Masci; Seppo Mattila; P. Nugent; P. Ochner; Andrea Pastorello; T. Reynolds; K. W. Smith; Jesper Sollerman; F. Taddia; G. Terreran; L. Tomasella; M. Turatto

We present the results of optical, near-infrared, and mid-infrared observations of M101 OT2015-1 (PSN J14021678+5426205), a luminous red transient in the Pinwheel galaxy (M101), spanning a total of 16 years. The light curve showed two distinct peaks with absolute magnitudes M_r ≤ -12.4 and M_r ≃ -12, on 2014 November 11 and 2015 February 17, respectively. The spectral energy distributions during the second maximum show a cool outburst temperature of ≈ 3700 K and low expansion velocities (≈-300 km s^(−1)) for the H i, Ca ii, Ba ii, and K i lines. From archival data spanning 15–8 years before the outburst, we find a single source consistent with the optically discovered transient, which we attribute to being the progenitor; it has properties consistent with being an F-type yellow supergiant with L ~ 8.7 x 10^4 L_⊙, T_(eff) ≈ 7000 K, and an estimated mass of M_1 = 18 ± 1 M_⊙. This star has likely just finished the H-burning phase in the core, started expanding, and is now crossing the Hertzsprung gap. Based on the combination of observed properties, we argue that the progenitor is a binary system, with the more evolved system overfilling the Roche lobe. Comparison with binary evolution models suggests that the outburst was an extremely rare phenomenon, likely associated with the ejection of the common envelope of a massive star. The initial mass of the primary fills the gap between the merger candidates V838 Mon (5−10 M_⊙) and NGC 4490-OT (30 M_⊙).


The Astrophysical Journal | 2017

iPTF 16asu: A Luminous, Rapidly Evolving, and High-velocity Supernova

L. Whitesides; R. Lunnan; Mansi M. Kasliwal; Daniel A. Perley; A. Corsi; S. B. Cenko; N. Blagorodnova; Y. Cao; David O. Cook; Gary Doran; D. D. Frederiks; C. Fremling; K. Hurley; Emir Karamehmetoglu; S. R. Kulkarni; G. Leloudas; Frank J. Masci; Peter E. Nugent; Andreas Ritter; Adam Rubin; V. Savchenko; Jesper Sollerman; D. Svinkin; F. Taddia; Paul M. Vreeswijk; Przemyslaw Remigiusz Wozniak

Wide-field surveys are discovering a growing number of rare transients whose physical origin is not yet well understood. Here we present optical and UV data and analysis of intermediate Palomar Transient Factory (iPTF) 16asu, a luminous, rapidly evolving, high-velocity, stripped-envelope supernova (SN). With a rest-frame rise time of just four days and a peak absolute magnitude of M_g = -20.4 mag, the light curve of iPTF 16asu is faster and more luminous than that of previous rapid transients. The spectra of iPTF 16asu show a featureless blue continuum near peak that develops into an SN Ic-BL spectrum on the decline. We show that while the late-time light curve could plausibly be powered by ^(56)Ni decay, the early emission requires a different energy source. Nondetections in the X-ray and radio strongly constrain the energy coupled to relativistic ejecta to be at most comparable to the class of low-luminosity gamma-ray bursts (GRBs). We suggest that the early emission may have been powered by either a rapidly spinning-down magnetar or by shock breakout in an extended envelope of a very energetic explosion. In either scenario a central engine is required, making iPTF 16asu an intriguing transition object between superluminous SNe, SNe Ic-BL, and low-luminosity GRBs.


Science Robotics | 2017

AEGIS autonomous targeting for ChemCam on Mars Science Laboratory: Deployment and results of initial science team use

Raymond Francis; Tara Estlin; Gary Doran; Stephen Johnstone; Daniel M. Gaines; V. Verma; Michael C. Burl; Jens Frydenvang; S. Montaño; Roger C. Wiens; S. Schaffer; O. Gasnault; Lauren DeFlores; Diana L. Blaney; Benjamin J. Bornstein

Autonomous target selection and pointing refinement steer a remote geochemical LIBS instrument on Mars, increasing data return. Limitations on interplanetary communications create operations latencies and slow progress in planetary surface missions, with particular challenges to narrow–field-of-view science instruments requiring precise targeting. The AEGIS (Autonomous Exploration for Gathering Increased Science) autonomous targeting system has been in routine use on NASA’s Curiosity Mars rover since May 2016, selecting targets for the ChemCam remote geochemical spectrometer instrument. AEGIS operates in two modes; in autonomous target selection, it identifies geological targets in images from the rover’s navigation cameras, choosing for itself targets that match the parameters specified by mission scientists the most, and immediately measures them with ChemCam, without Earth in the loop. In autonomous pointing refinement, the system corrects small pointing errors on the order of a few milliradians in observations targeted by operators on Earth, allowing very small features to be observed reliably on the first attempt. AEGIS consistently recognizes and selects the geological materials requested of it, parsing and interpreting geological scenes in tens to hundreds of seconds with very limited computing resources. Performance in autonomously selecting the most desired target material over the last 2.5 kilometers of driving into previously unexplored terrain exceeds 93% (where ~24% is expected without intelligent targeting), and all observations resulted in a successful geochemical observation. The system has substantially reduced lost time on the mission and markedly increased the pace of data collection with ChemCam. AEGIS autonomy has rapidly been adopted as an exploration tool by the mission scientists and has influenced their strategy for exploring the rover’s environment.


Monthly Notices of the Royal Astronomical Society | 2017

The late-time light curve of the Type Ia supernova SN 2011fe

G. Dimitriadis; M. Sullivan; Wolfgang Kerzendorf; Ashley J. Ruiter; Ivo R. Seitenzahl; S. Taubenberger; Gary Doran; Avishay Gal-Yam; R. R. Laher; K. Maguire; Peter E. Nugent; Eran O. Ofek; Jason A. Surace

We present late-time optical R-band imaging data from the Palomar Transient Factory (PTF) for the nearby Type Ia supernova SN 2011fe. The stacked PTF light curve provides densely sampled coverage down to R ≃ 22 mag over 200–620 d past explosion. Combining with literature data, we estimate the pseudo-bolometric light curve for this event from 200 to 1600 d after explosion, and constrain the likely near-infrared (Near-IR) contribution. This light curve shows a smooth decline consistent with radioactive decay, except over ∼450 to ∼600 d where the light curve appears to decrease faster than expected based on the radioactive isotopes presumed to be present, before flattening at around 600 d. We model the 200–1600 d pseudo-bolometric light curve with the luminosity generated by the radioactive decay chains of ^(56)Ni, ^(57)Ni and ^(55)Co, and find it is not consistent with models that have full positron trapping and no infrared catastrophe (IRC); some additional energy escape other than optical/near-IR photons is required. However, the light curve is consistent with models that allow for positron escape (reaching 75 per cent by day 500) and/or an IRC (with 85 per cent of the flux emerging in non-optical wavelengths by day 600). The presence of the ^(57)Ni decay chain is robustly detected, but the ^(55)Co decay chain is not formally required, with an upper mass limit estimated at 0.014 M⊙. The measurement of the ^(57)Ni/^(56)Ni mass ratio is subject to significant systematic uncertainties, but all of our fits require a high ratio >0.031 (>1.3 in solar abundances).


applied imagery pattern recognition workshop | 2015

AEGIS autonomous targeting for the Curiosity rover's ChemCam instrument

Raymond Francis; Tara Estlin; Daniel M. Gaines; Benjamin J. Bornstein; Steven Schaffer; Vandi Verma; Robert C. Anderson; Michael C. Burl; Selina Chu; Rebecca Castano; David R. Thompson; Diana L. Blaney; Lauren de Flores; Gary Doran; Tony Nelson; Roger C. Wiens

AEGIS (Autonomous Exploration for Gathering Increased Science) is a software suite that will imminently be operational aboard NASAs Curiosity Mars rover, allowing the rover to autonomously detect and prioritize targets in its surroundings, and acquire geochemical spectra using its ChemCam instrument. ChemCam, a Laser-Induced Breakdown Spectrometer (LIBS), is normally used to study targets selected by scientists using images taken by the rover on a previous sol and relayed by Mars orbiters to Earth. During certain mission phases, ground-based target selection entails significant delays and the use of limited communication bandwidth to send the images. AEGIS will allow the science team to define the properties of preferred targets, and obtain geochemical data more quickly, at lower data penalty, without the extra ground-inthe-loop step. The system uses advanced image analysis techniques to find targets in images taken by the rovers stereo navigation cameras (NavCam), and can rank, filter, and select targets based on properties selected by the science team. AEGIS can also be used to analyze images from ChemCams Remote Micro Imager (RMI) context camera, allowing it to autonomously target very fine-scale features - such as veins in a rock outcrop - which are too small to detect with the range and resolution of NavCam. AEGIS allows science activities to be conducted in a greater range of mission conditions, and saves precious time and command cycles during the rovers surface mission. The system is currently undergoing initial tests and checkouts aboard the rover, and is expected to be operational by late 2015. Other current activities are focused on science team training and the development of target profiles for the environments in which AEGIS is expected to be used on Mars.


Science | 2018

A hot and fast ultra-stripped supernova that likely formed a compact neutron star binary

Kishalay De; Mansi M. Kasliwal; Eran O. Ofek; Takashi J. Moriya; J. Burke; Y. Cao; S. B. Cenko; Gary Doran; G. Duggan; R. P. Fender; Claes Fransson; Avishay Gal-Yam; Assaf Horesh; S. R. Kulkarni; R. R. Laher; R. Lunnan; I. Manulis; Frank J. Masci; Paolo A. Mazzali; Peter E. Nugent; Daniel A. Perley; Tanja Petrushevska; Anthony L. Piro; C. Rumsey; Jesper Sollerman; M. Sullivan; F. Taddia

Explosive origin of a binary neutron star Some types of core-collapse supernovae are known to produce a neutron star (NS). A binary NS merger was recently detected from its gravitational wave emission, but it is unclear how such a tight binary system can be formed. De et al. discovered a core-collapse supernova with unusual properties, including the removal of the outer layers of the star before the explosion. They interpret this as the second supernova in an interacting binary system that already contains one NS. Because the explosion probably produced a second NS (rather than a black hole) in a tight orbit, it could be an example of how binary NS systems form. Science, this issue p. 201 An unusual core-collapse supernova appears to have formed a binary neutron star in a tight orbit. Compact neutron star binary systems are produced from binary massive stars through stellar evolution involving up to two supernova explosions. The final stages in the formation of these systems have not been directly observed. We report the discovery of iPTF 14gqr (SN 2014ft), a type Ic supernova with a fast-evolving light curve indicating an extremely low ejecta mass (≈0.2 solar masses) and low kinetic energy (≈2 × 1050 ergs). Early photometry and spectroscopy reveal evidence of shock cooling of an extended helium-rich envelope, likely ejected in an intense pre-explosion mass-loss episode of the progenitor. Taken together, we interpret iPTF 14gqr as evidence for ultra-stripped supernovae that form neutron stars in compact binary systems.


Atmospheric Measurement Techniques | 2016

The on-orbit performance of the Orbiting Carbon Observatory-2 (OCO-2) instrument and its radiometrically calibrated products

David Crisp; Harold R. Pollock; Robert Rosenberg; Lars Chapsky; Richard A. M. Lee; Fabiano Oyafuso; Christian Frankenberg; Christopher W. O'Dell; Carol J. Bruegge; Gary Doran; Annmarie Eldering; Brendan M. Fisher; Dejian Fu; M. R. Gunson; Lukas Mandrake; G. B. Osterman; Florian M. Schwandner; Kang Sun; Tommy E. Taylor; Paul O. Wennberg; Debra Wunch


Atmospheric Measurement Techniques | 2016

The Orbiting Carbon Observatory-2: first 18 months of science data products

Annmarie Eldering; Chris O'Dell; Paul O. Wennberg; David Crisp; M. R. Gunson; Camille Viatte; Charles C. Avis; Amy Braverman; Rebecca Castano; A. Y. Chang; Lars Chapsky; Cecilia Cheng; B. Connor; Lan Dang; Gary Doran; Brendan M. Fisher; Christian Frankenberg; Dejian Fu; Robert Granat; Jonathan Hobbs; Richard A. M. Lee; Lukas Mandrake; J. McDuffie; Charles E. Miller; Vicky Myers; Vijay Natraj; Denis O'Brien; G. B. Osterman; Fabiano Oyafuso; Vivienne H. Payne


Publications of the Astronomical Society of the Pacific | 2017

The IPAC Image Subtraction and Discovery Pipeline for the intermediate Palomar Transient Factory

Frank J. Masci; Russ R. Laher; Umaa Rebbapragada; Gary Doran; Adam A. Miller; Eric C. Bellm; Mansi M. Kasliwal; Eran O. Ofek; Jason A. Surace; D. L. Shupe; Carl J. Grillmair; Ed Jackson; Tom A. Barlow; Lin Yan; Yi Cao; S. Bradley Cenko; Lisa J. Storrie-Lombardi; George Helou; Thomas A. Prince; S. R. Kulkarni


15th International Conference on Space Operations | 2018

Incorporating AEGIS autonomous science into Mars Science Laboratory rover mission operations

Raymond Francis; Tara Estlin; Stephen Johnstone; Laurent Peret; Valerie Mousset; Gary Doran; Daniel M. Gaines; Suzanne Montaño; O. Gasnault; Jens Frydenvang; Roger C. Wiens; Steven Schaffer; Betina Pavri; Vandana Verma; Debarati Chattopadhyay; Benjamin J. Bornstein; Nimisha Mittal; Lauren DeFlores

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Frank J. Masci

California Institute of Technology

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Mansi M. Kasliwal

California Institute of Technology

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S. R. Kulkarni

California Institute of Technology

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Tara Estlin

California Institute of Technology

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Benjamin J. Bornstein

California Institute of Technology

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Daniel M. Gaines

California Institute of Technology

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David R. Thompson

California Institute of Technology

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Peter E. Nugent

Lawrence Berkeley National Laboratory

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Raymond Francis

California Institute of Technology

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Roger C. Wiens

Los Alamos National Laboratory

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