Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where L. Gladney is active.

Publication


Featured researches published by L. Gladney.


The Astrophysical Journal | 2011

Photometric Type Ia Supernova Candidates from the Three-year SDSS-II SN Survey Data

Masao Sako; Bruce A. Bassett; B. Connolly; Benjamin E. P. Dilday; Heather Cambell; Joshua A. Frieman; L. Gladney; Richard Kessler; Hubert Lampeitl; John P. Marriner; R. Miquel; Robert C. Nichol; Donald P. Schneider; Mathew Smith; Jesper Sollerman

We analyze the three-year Sloan Digital Sky Survey II (SDSS-II) Supernova (SN) Survey data and identify a sample of 1070 photometric Type Ia supernova (SN Ia) candidates based on their multiband light curve data. This sample consists of SN candidates with no spectroscopic confirmation, with a subset of 210 candidates having spectroscopic redshifts of their host galaxies measured while the remaining 860 candidates are purely photometric in their identification. We describe a method for estimating the efficiency and purity of photometric SN Ia classification when spectroscopic confirmation of only a limited sample is available, and demonstrate that SN Ia candidates from SDSS-II can be identified photometrically with ~91% efficiency and with a contamination of ~6%. Although this is the largest uniform sample of SN candidates to date for studying photometric identification, we find that a larger spectroscopic sample of contaminating sources is required to obtain a better characterization of the background events. A Hubble diagram using SN candidates with no spectroscopic confirmation, but with host galaxy spectroscopic redshifts, yields a distance modulus dispersion that is only ~20%-40% larger than that of the spectroscopically confirmed SN Ia sample alone with no significant bias. A Hubble diagram with purely photometric classification and redshift-distance measurements, however, exhibits biases that require further investigation for precision cosmology.


Astroparticle Physics | 2004

Weak lensing from space I: instrumentation and survey strategy

Jason Rhodes; Alexandre Refregier; Richard Massey; J. Albert; David Bacon; G. M. Bernstein; Richard S. Ellis; Bhuvnesh Jain; Alex G. Kim; M. Lampton; Timothy A. McKay; C. Akerlof; G. Aldering; R. Amanullah; Pierre Astier; Charles Baltay; E. Barrelet; Christopher J. Bebek; Lars Bergström; J. Bercovitz; M. Bester; B. Bigelow; Ralph C. Bohlin; Alain Bonissent; C. R. Bower; Mark L. Brown; M. Campbell; W. Carithers; Eugene D. Commins; C. Day

A wide-field space-based imaging telescope is necessary to fully exploit the technique of observing dark matter via weak gravitational lensing. This first paper in a three part series outlines the survey strategies and relevant instrumental parameters for such a mission. As a concrete example of hardware design, we consider the proposed Supernova/Acceleration Probe (SNAP). Using SNAP engineering models, we quantify the major contributions to this telescopes point spread function (PSF). These PSF contributions are relevant to any similar wide-field space telescope. We further show that the PSF of SNAP or a similar telescope will be smaller than current ground-based PSFs, and more isotropic and stable over time than the PSF of the Hubble Space Telescope. We outline survey strategies for two different regimes--a ``wide 300 square degree survey and a ``deep 15 square degree survey that will accomplish various weak lensing goals including statistical studies and dark matter mapping.


Astronomical Telescopes and Instrumentation | 2006

Development of NIR detectors and science driven requirements for SNAP

Matthew Brown; Christopher J. Bebek; G. M. Bernstein; Alain Bonissent; B. Carithers; David Michael Cole; Donald F. Figer; D. W. Gerdes; L. Gladney; W. Lorenzon; Alex G. Kim; G. Kushner; N. Kuznetsova; Eric V. Linder; S. McKee; R. Miquel; N. Mostek; Stuart Lee Mufson; M. Schubnell; Suresh Seshadri; Hemant Shukla; Roger Smith; A. Stebbins; C. Stoughton; Gregory Tarle

Precision near infrared (NIR) measurements are essential for the next generation of ground and space based instruments. The SuperNova Acceleration Probe (SNAP) will measure thousands of type Ia supernovae up to a redshift of 1.7. The highest redshift supernovae provide the most leverage for determining cosmological parameters, in particular the dark energy equation of state and its possible time evolution. Accurate NIR observations are needed to utilize the full potential of the highest redshift supernovae. Technological improvements in NIR detector fabrication have lead to high quantum efficiency, low noise detectors using a HgCdTe diode with a band-gap that is tuned to cutoff at 1.7 μm. The effects of detector quantum efficiency, read noise, and dark current on lightcurve signal to noise, lightcurve parameter errors, and distance modulus fits are simulated in the SNAPsim framework. Results show that improving quantum efficiency leads to the largest gains in photometric accuracy for type Ia supernovae. High quantum efficiency in the NIR reduces statistical errors and helps control systematic uncertainties at the levels necessary to achieve the primary SNAP science goals.


Astroparticle Physics | 2011

Reducing Zero-point Systematics in Dark Energy Supernova Experiments

Lorenzo Faccioli; Alex G. Kim; R. Miquel; G. M. Bernstein; Alain Bonissent; Matthew Brown; W. Carithers; Jodi L. Christiansen; Natalia Connolly; Susana Elizabeth Deustua; D. W. Gerdes; L. Gladney; G. Kushner; Eric V. Linder; Shawn Patrick McKee; Nick J. Mostek; Hemant Shukla; Albert Stebbins; Chris Stoughton; David Tucker

We study the effect of filter zero-point uncertainties on future supernova dark energy missions. Fitting for calibration parameters using simultaneous analysis of all Type Ia supernova standard candles achieves a significant improvement over more traditional fit methods. This conclusion is robust under diverse experimental configurations (number of observed supernovae, maximum survey redshift, inclusion of additional systematics). This approach to supernova fitting considerably eases otherwise stringent mission calibration requirements. As an example we simulate a space-based mission based on the proposed JDEM satellite; however the method and conclusions are general and valid for any future supernova dark energy mission, ground or space-based.


Astroparticle Physics | 2010

Prospective Type Ia supernova surveys from Dome A

A. G. Kim; Alain Bonissent; Jodi L. Christiansen; A. Ealet; Lorenzo Faccioli; L. Gladney; G. Kushner; Eric V. Linder; Chris Stoughton; L. Wang

Dome A, the highest plateau in Antarctica, is being developed as a site for an astronomical observatory. The planned telescopes and instrumentation and the unique site characteristics are conducive toward Type Ia supernova surveys for cosmology. A self-contained search and survey over 5 years can yield a spectro-photometric time series of ~;; 1000 z =4-m) telescopes are capable of discovering supernovae shortly after explosion out to z ~;; 3. These can be fed to space telescopes, and can isolate systematics and extend the redshift range over which we measure the expansion history of the universe.


arXiv: Instrumentation and Methods for Astrophysics | 2015

The Whole is Greater than the Sum of the Parts: Optimizing the Joint Science Return from LSST, Euclid and WFIRST

B. Jain; David N. Spergel; Rachel Bean; Andy Connolly; Ian P. Dell'Antonio; Joshua A. Frieman; E. Gawiser; N. Gehrels; L. Gladney; Katrin Heitmann; George Helou; Christopher M. Hirata; Shirley Ho; Ž. Ivezić; M. J. Jarvis; Steven M. Kahn; J. Kalirai; A. G. Kim; Robert H. Lupton; Rachel Mandelbaum; Phil Marshall; J. A. Newman; S. Perlmutter; Marc Postman; Jason Rhodes; Michael A. Strauss; J. A. Tyson; Lucianne M. Walkowicz; W. M. Wood-Vasey


The astronomer's telegram | 2016

Classification of 17 DES Supernova with OzDES

D. Mudd; Paul Martini; Geraint F. Lewis; A. Möller; Rob Sharp; N. E. Sommer; B. E. Tucker; F. Yuan; B. Zhang; J. Asorey; Tamara M. Davis; Samuel R. Hinton; D. Muthukrishna; David Parkinson; A. Carnero; A. King; C. Lidman; S. Webb; S. Uddin; Richard Kessler; J. Lasker; D. Scolnic; D. Brout; C. B. D'Andrea; L. Gladney; M. March; Masao Sako; R. C. Wolf; Peter J. Brown; Kevin Krisciunas


Archive | 2013

Spectroscopic confirmation of DES12C3a

C. Lidman; Andrew M. Hopkins; E. Ahn; D. A. Finley; Joshua A. Frieman; John P. Marriner; W. C. Wester; G. Aldering; J. S. Bloom; A. G. Kim; P. Nugent; S. Perlmutter; R. C. Thomas; K. Barbary; Joseph P. Bernstein; Rahul Biswas; Eve Kovacs; S. E. Kuhlmann; H. M. Spinka; Chris Blake; Karl Glazebrook; Jeremy R. Mould; S. Uddin; Peter J. Brown; Kevin Krisciunas; Nicholas B. Suntzeff; H. Campbell; C. B. D'Andrea; Robert C. Nichol; A. Papadopoulos


Prairie View summer science academy | 2008

Overview of current high energy physics experiments

L. Gladney

Collaboration


Dive into the L. Gladney's collaboration.

Top Co-Authors

Avatar

Alain Bonissent

Centre national de la recherche scientifique

View shared research outputs
Top Co-Authors

Avatar

A. G. Kim

Lawrence Berkeley National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Alex G. Kim

Lawrence Berkeley National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Eric V. Linder

Lawrence Berkeley National Laboratory

View shared research outputs
Top Co-Authors

Avatar

G. Kushner

Lawrence Berkeley National Laboratory

View shared research outputs
Top Co-Authors

Avatar

G. M. Bernstein

University of Pennsylvania

View shared research outputs
Top Co-Authors

Avatar

Christopher J. Bebek

Lawrence Berkeley National Laboratory

View shared research outputs
Researchain Logo
Decentralizing Knowledge