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Dive into the research topics where M. A. Troxel is active.

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Featured researches published by M. A. Troxel.


Physics Reports | 2015

The Intrinsic Alignment of Galaxies and its Impact on Weak Gravitational Lensing in an Era of Precision Cosmology

M. A. Troxel; Mustapha Ishak

The wealth of incoming and future cosmological observations will allow us to map out the structure and evolution of the observable universe to an unprecedented level of precision. Among these observations is the weak gravitational lensing of galaxies, e.g., cosmic shear that measures the minute distortions of background galaxy images by intervening cosmic structure. Weak lensing and cosmic shear promise to be a powerful probe of astrophysics and cosmology, constraining models of dark energy, measuring the evolution of structure in the universe, and testing theories of gravity on cosmic scales. However, the intrinsic alignment of galaxies -- their shape and orientation before being lensed -- may pose a great challenge to the use of weak gravitational lensing as an accurate cosmological probe, and has been identified as one of the primary physical systematic biases in cosmic shear studies. Correlations between this intrinsic alignment and the lensing signal can persist even for large physical separations, and isolating the effect of intrinsic alignment from weak lensing is not trivial. A great deal of work in the last two decades has been devoted to understanding and characterizing this intrinsic alignment, which is also a direct and complementary probe of structure formation and evolution in its own right. In this review, we report in a systematic way the state of our understanding of the intrinsic alignment of galaxies, with a particular emphasis on its large-scale impact on weak lensing measurements and methods for its isolation or mitigation. (Abridged)


Monthly Notices of the Royal Astronomical Society | 2016

The DES Science Verification weak lensing shear catalogues

M. Jarvis; E. Sheldon; J. Zuntz; Tomasz Kacprzak; Sarah Bridle; Adam Amara; Robert Armstrong; M. R. Becker; G. M. Bernstein; C. Bonnett; C. L. Chang; Ritanjan Das; J. P. Dietrich; A. Drlica-Wagner; T. F. Eifler; C. Gangkofner; D. Gruen; Michael Hirsch; Eric Huff; Bhuvnesh Jain; S. Kent; D. Kirk; N. MacCrann; P. Melchior; A. A. Plazas; Alexandre Refregier; Barnaby Rowe; E. S. Rykoff; S. Samuroff; C. Sanchez

We present weak lensing shear catalogues for 139 square degrees of data taken during the Science Verification (SV) time for the new Dark Energy Camera (DECam) being used for the Dark Energy Survey (DES). We describe our object selection, point spread function estimation and shear measurement procedures using two independent shear pipelines, IM3SHAPE and NGMIX, which produce catalogues of 2.12 million and 3.44 million galaxies respectively. We detail a set of null tests for the shear measurements and find that they pass the requirements for systematic errors at the level necessary for weak lensing science applications using the SV data. We also discuss some of the planned algorithmic improvements that will be necessary to produce sufficiently accurate shear catalogues for the full 5-year DES, which is expected to cover 5000 square degrees.


Physical Review D | 2016

Cosmic shear measurements with Dark Energy Survey science verification data

A. K. Romer; M. R. Becker; M. A. Troxel; N. MacCrann; E. Krause; T. F. Eifler; O. Friedrich; Andrina Nicola; Alexandre Refregier

We present measurements of weak gravitational lensing cosmic shear two-point statistics using Dark Energy Survey Science Verification data. We demonstrate that our results are robust to the choice of shear measurement pipeline, either ngmix or im3shape, and robust to the choice of two-point statistic, including both real and Fourier-space statistics. Our results pass a suite of null tests including tests for B-mode contamination and direct tests for any dependence of the two-point functions on a set of 16 observing conditions and galaxy properties, such as seeing, airmass, galaxy color, galaxy magnitude, etc. We furthermore use a large suite of simulations to compute the covariance matrix of the cosmic shear measurements and assign statistical significance to our null tests. We find that our covariance matrix is consistent with the halo model prediction, indicating that it has the appropriate level of halo sample variance. We compare the same jackknife procedure applied to the data and the simulations in order to search for additional sources of noise not captured by the simulations. We find no statistically significant extra sources of noise in the data. The overall detection significance with tomography for our highest source density catalog is 9.7 sigma . Cosmological constraints from the measurements in this work are presented in a companion paper [DES et al., Phys. Rev. D 94, 022001 (2016).].


Monthly Notices of the Royal Astronomical Society | 2016

Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data

Tomasz Kacprzak; D. Kirk; O. Friedrich; Adam Amara; Alexandre Refregier; Laura Marian; J. P. Dietrich; E. Suchyta; J. Aleksić; David Bacon; M. R. Becker; C. Bonnett; Sarah Bridle; C. L. Chang; T. F. Eifler; W. G. Hartley; Eric Huff; E. Krause; N. MacCrann; P. Melchior; Andrina Nicola; S. Samuroff; E. Sheldon; M. A. Troxel; J. Weller; J. Zuntz; T. M. C. Abbott; F. B. Abdalla; Robert Armstrong; A. Benoit-Lévy

Shear peak statistics has gained a lot of attention recently as a practical alternative to the two-point statistics for constraining cosmological parameters. We perform a shear peak statistics analysis of the Dark Energy Survey (DES) Science Verification (SV) data, using weak gravitational lensing measurements from a 139 deg² field. We measure the abundance of peaks identified in aperture mass maps, as a function of their signal-to-noise ratio, in the signal-to-noise range 0 4 would require significant corrections, which is why we do not include them in our analysis. We compare our results to the cosmological constraints from the two-point analysis on the SV field and find them to be in good agreement in both the central value and its uncertainty. We discuss prospects for future peak statistics analysis with upcoming DES data.


Publications of the Astronomical Society of the Pacific | 2007

Comparative direct analysis of type Ia supernova spectra. IV. Postmaximum

David Branch; David J. Jeffery; Jerod T. Parrent; E. Baron; M. A. Troxel; V. Stanishev; Melissa Keithley; Joshua Harrison; Christopher Bruner

A comparative study of optical spectra of Type Ia supernovae ( SNe Ia) obtained near 1 week, 3 weeks, and 3 months after maximum light is presented. Most members of the four groups that were define ...


Publications of the Astronomical Society of the Pacific | 2007

Direct Analysis of Spectra of the Unusual Type Ib Supernova 2005bf

Jerod T. Parrent; David Branch; M. A. Troxel; Darrin Alan Casebeer; David J. Jeffery; Wesley Ketchum; E. Baron; F. J. D. Serduke; Alexei V. Filippenko

Synthetic spectra generated with the parameterized supernova synthetic spectrum code SYNOW are compared to spectra of the unusual Type Ib supernova 2005bf. We confirm the discovery by Folatelli et al. that very early spectra (~30 days before maximum light) contain both photospheric-velocity (~8000 km s–1) features of He i, Ca ii, and Fe ii, and detached high-velocity (~14,000 km s–1) features of Hα, Ca ii, and Fe ii. An early spectrum of SN 2005bf is an almost perfect match to a near-maximum-light spectrum of the Type Ib SN 1999ex. Although these two spectra were at very different times with respect to maximum light (20 days before maximum for SN 2005bf and 5 days after for SN 1999ex), they were for similar times after explosion—about 20 days for SN 2005bf and 24 days for SN 1999ex. The almost perfect match clinches the previously suggested identification of Hα in SN 1999ex and supports the proposition that many if not all Type Ib supernovae eject a small amount of hydrogen. The earliest available spectrum of SN 2005bf resembles a near-maximum-light spectrum of the Type Ic SN 1994I. These two spectra were also at different times with respect to maximum light (32 days before maximum for SN 2005bf and 4 days before for SN 1994I) but at similar times after explosion—about 8 days for SN 2005bf and 10 days for SN 1994I. The resemblance motivates us to consider a reinterpretation of the spectra of Type Ic supernovae, involving coexisting photospheric-velocity and high-velocity features. The implications of our results for the geometry of the SN 2005bf ejecta, which has been suggested as being grossly asymmetric, are briefly discussed.


Astrophysical Journal Supplement Series | 2018

Dark energy survey year 1 results: the photometric data set for cosmology

A. Drlica-Wagner; I. Sevilla-Noarbe; E. S. Rykoff; R. A. Gruendl; Brian Yanny; Douglas L. Tucker; B. Hoyle; A. Carnero Rosell; G. M. Bernstein; K. Bechtol; M. R. Becker; A. Benoit-Lévy; E. Bertin; M. Carrasco Kind; C. Davis; J. De Vicente; H. T. Diehl; D. Gruen; W. G. Hartley; Boris Leistedt; T. S. Li; J. L. Marshall; Eric H. Neilsen; Markus Rau; E. Sheldon; J. A. Smith; M. A. Troxel; S. Wyatt; Y. Zhang; T. M. C. Abbott

We describe the creation, content, and validation of the Dark Energy Survey (DES) internal year-one cosmology data set, Y1A1 GOLD, in support of upcoming cosmological analyses. The Y1A1 GOLD data set is assembled from multiple epochs of DES imaging and consists of calibrated photometric zero-points, object catalogs, and ancillary data products-e.g., maps of survey depth and observing conditions, star galaxy classification, and photometric redshift estimates that are necessary for accurate cosmological analyses. The Y1A1 GOLD wide area object catalog consists of similar to 137 million objects detected in co-added images covering similar to 1800 deg(2) in the DES grizY filters. The 10 sigma limiting magnitude for galaxies is g = 23.4, r = 23.2, i = 22.5, z = 21.8, and Y = 20.1. Photometric calibration of Y1A1 GOLD was performed by combining nightly zero-point solutions with stellar locus regression, and the absolute calibration accuracy is better than 2% over the survey area. DES Y1A1 GOLD is the largest photometric data set at the achieved depth to date, enabling precise measurements of cosmic acceleration at z less than or similar to 1.


Monthly Notices of the Royal Astronomical Society | 2016

Cross-correlation of gravitational lensing from DES Science Verification data with SPT and Planck lensing

D. Kirk; Y. Omori; A. Benoit-Lévy; R. Cawthon; C. L. Chang; P. Larsen; Adam Amara; David Bacon; T. M. Crawford; Scott Dodelson; P. Fosalba; T. Giannantonio; Gilbert P. Holder; Bhuvnesh Jain; Tomasz Kacprzak; Ofer Lahav; N. MacCrann; Andrina Nicola; Alexandre Refregier; E. Sheldon; K. Story; M. A. Troxel; J. D. Vieira; V. Vikram; J. Zuntz; Timothy M. C. Abbott; F. B. Abdalla; M. R. Becker; B. A. Benson; G. M. Bernstein

We measure the cross-correlation between weak lensing of galaxy images and of the cosmic microwave background (CMB). The effects of gravitational lensing on different sources will be correlated if the lensing is caused by the same mass fluctuations. We use galaxy shape measurements from 139 deg(2) of the Dark Energy Survey (DES) Science Verification data and overlapping CMB lensing from the South Pole Telescope (SPT) and Planck. The DES source galaxies have a median redshift of z(med) similar to 0.7, while the CMB lensing kernel is broad and peaks at z similar to 2. The resulting cross-correlation is maximally sensitive to mass fluctuations at z similar to 0.44. Assuming the Planck 2015 best-fitting cosmology, the amplitude of the DESxSPT cross-power is found to be A(SPT) = 0.88 +/- 0.30 and that from DESxPlanck to be A(Planck) = 0.86 +/- 0.39, where A = 1 corresponds to the theoretical prediction. These are consistent with the expected signal and correspond to significances of 2.9 sigma and 2.2 sigma, respectively. We demonstrate that our results are robust to a number of important systematic effects including the shear measurement method, estimator choice, photo-z uncertainty and CMB lensing systematics. We calculate a value of A = 1.08 +/- 0.36 for DESxSPT when we correct the observations with a simple intrinsic alignment model. With three measurements of this cross-correlation now existing in the literature, there is not yet reliable evidence for any deviation from the expected LCDM level of cross-correlation. We provide forecasts for the expected signal-to-noise ratio of the combination of the five-year DES survey and SPT-3G.


Monthly Notices of the Royal Astronomical Society | 2018

Dark Energy Survey Year 1 Results: A Precise H0 Estimate from DES Y1, BAO, and D/H Data

T. M. C. Abbott; F. B. Abdalla; J. Annis; K. Bechtol; J. Blazek; B. A. Benson; R. A. Bernstein; G. M. Bernstein; E. Bertin; David J. Brooks; D. L. Burke; A. Carnero Rosell; M. Carrasco Kind; J. Carretero; Francisco J. Castander; C. L. Chang; T. M. Crawford; C. E. Cunha; C. B. D’Andrea; L. N. da Costa; C. Davis; J. DeRose; S. Desai; H. T. Diehl; J. P. Dietrich; P. Doel; A. Drlica-Wagner; August E. Evrard; E. Fernández; B. Flaugher

We combine Dark Energy Survey Year 1 clustering and weak lensing data with baryon acoustic oscillations and Big Bang nucleosynthesis experiments to constrain the Hubble constant. Assuming a flat Lambda CDM model with minimal neutrino mass (Sigma m(v), = 0.06 eV), we find H-0 = 67.4(-1.2)(+1.1) km s(-1) Mpc(-1) (68 per cent CL). This result is completely independent of Hubble constant measurements based on the distance ladder, cosmic microwave background anisotropies (both temperature and polarization), and strong lensing constraints. There are now five data sets that: (a) have no shared observational systematics;and (b) each constrains the Hubble constant with fractional uncertainty at the few-per cent level. We compare these five independent estimates, and find that, as a set, the differences between them are significant at the 2.5 sigma level (chi(2)/dof = 24/11, probability to exceed = 1.1 per cent). Having set the threshold for consistency at 30 sigma we combine all five data sets to arrive at H-0 = 69.3(-0.6)(+0.4) km s(-1) Mpc(-1).


Monthly Notices of the Royal Astronomical Society | 2017

Galaxy-galaxy lensing in the Dark Energy Survey Science Verification data

Joseph Clampitt; C. Sánchez; Juliana Kwan; E. Krause; N. MacCrann; Youngsoo Park; M. A. Troxel; Bhuvnesh Jain; Eduardo Rozo; E. S. Rykoff; Risa H. Wechsler; J. Blazek; C. Bonnett; M. Crocce; Y. Fang; E. Gaztanaga; D. Gruen; M. Jarvis; R. Miquel; J. Prat; A. Ross; E. Sheldon; J. Zuntz; T. M. C. Abbott; F. B. Abdalla; Robert Armstrong; M. R. Becker; A. Benoit-Lévy; G. M. Bernstein; E. Bertin

We present galaxy-galaxy lensing results from 139 deg(2) of Dark Energy Survey (DES) Science Verification (SV) data. Our lens sample consists of red galaxies, known as redMaGiC, which are specifically selected to have a low photometric redshift error and outlier rate. The lensing measurement has a total signal-to-noise ratio of 29 over scales 0.09 < R < 15 Mpc h(-1), including all lenses over a wide redshift range 0.2 < z < 0.8. Dividing the lenses into three redshift bins for this constant moving number density sample, we find no evidence for evolution in the halo mass with redshift. We obtain consistent results for the lensing measurement with two independent shear pipelines, NGMIX and IM3SHAPE. We perform a number of null tests on the shear and photometric redshift catalogues and quantify resulting systematic uncertainties. Covariances from jackknife subsamples of the data are validated with a suite of 50 mock surveys. The result and systematic checks in this work provide a critical input for future cosmological and galaxy evolution studies with the DES data and redMaGiC galaxy samples. We fit a halo occupation distribution (HOD) model, and demonstrate that our data constrain the mean halo mass of the lens galaxies, despite strong degeneracies between individual HOD parameters.

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Bhuvnesh Jain

University of Pennsylvania

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G. M. Bernstein

University of Pennsylvania

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E. Sheldon

Brookhaven National Laboratory

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Mustapha Ishak

University of Texas at Dallas

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T. F. Eifler

California Institute of Technology

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J. Zuntz

University of Manchester

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