M. March - Imperial

M. March
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Name
M. March
Affiliation
Imperial
City
Imperial
Country
United States

Pubs By Year

Pub Categories

 
Cosmology and Nongalactic Astrophysics (35)
 
Astrophysics of Galaxies (17)
 
Instrumentation and Methods for Astrophysics (8)
 
High Energy Astrophysical Phenomena (5)
 
Earth and Planetary Astrophysics (2)
 
High Energy Physics - Phenomenology (1)
 
General Relativity and Quantum Cosmology (1)
 
High Energy Physics - Experiment (1)
 
Solar and Stellar Astrophysics (1)

Publications Authored By M. March

We characterize the ability of the Dark Energy Camera (DECam) to perform relative astrometry across its 500~Mpix, 3 deg^2 science field of view, and across 4 years of operation. This is done using internal comparisons of ~4x10^7 measurements of high-S/N stellar images obtained in repeat visits to fields of moderate stellar density, with the telescope dithered to move the sources around the array. An empirical astrometric model includes terms for: optical distortions; stray electric fields in the CCD detectors; chromatic terms in the instrumental and atmospheric optics; shifts in CCD relative positions of up to ~10 um when the DECam temperature cycles; and low-order distortions to each exposure from changes in atmospheric refraction and telescope alignment. Read More

We report the observation and physical characterization of the possible dwarf planet \UZ\ ("DeeDee"), a dynamically detached trans-Neptunian object discovered at 92 AU. This object is currently the second-most distant known trans-Neptunian object with reported orbital elements, surpassed in distance only by the dwarf planet Eris. The object was discovered with an $r$-band magnitude of 23. Read More

We present gravitational lens models of the multiply imaged quasar DES J0408-5354, recently discovered in the Dark Energy Survey (DES) footprint, with the aim of interpreting its remarkable quad-like configuration. We first model the DES single-epoch $grizY$ images as a superposition of a lens galaxy and four point-like objects, obtaining spectral energy distributions (SEDs) and relative positions for the objects. Three of the point sources (A,B,D) have SEDs compatible with the discovery quasar spectra, while the faintest point-like image (G2/C) shows significant reddening and a `grey' dimming of $\approx0. Read More

We report the discovery and spectroscopic confirmation of the quad-like lensed quasar system DES J0408-5354 found in the Dark Energy Survey (DES) Year 1 (Y1) data. This system was discovered during a search for DES Y1 strong lensing systems using a method that identified candidates as red galaxies with multiple blue neighbors. DES J0408-5354 consists of a central red galaxy surrounded by three bright (i < 20) blue objects and a fourth red object. Read More

In this paper the effect of weak lensing magnification on galaxy number counts is studied by cross-correlating the positions of two galaxy samples, separated by redshift, using data from the Dark Energy Survey Science Verification dataset. The analysis is carried out for two photometrically-selected galaxy samples, with mean photometric redshifts in the $0.2 < z < 0. Read More

The coalescence of a binary neutron star (BNS) pair is expected to produce gravitational waves (GW) and electromagnetic (EM) radiation, both of which may be detectable with currently available instruments. We describe a search for a theoretically predicted r-process optical transient from these mergers, dubbed the kilonova (KN), using griz broadband data from the Dark Energy Survey Supernova Program (DES-SN). Some models predict KNe to be redder, shorter-lived, and dimmer than supernovae (SNe), but at present the event rate of KNe is poorly constrained. Read More

We search for excess gamma-ray emission coincident with the positions of confirmed and candidate Milky Way satellite galaxies using 6 years of data from the Fermi Large Area Telescope (LAT). Our sample of 45 stellar systems includes 28 kinematically confirmed dark-matter-dominated dwarf spheroidal galaxies (dSphs) and 17 recently discovered systems that have photometric characteristics consistent with the population of known dSphs. For each of these targets, the relative predicted gamma-ray flux due to dark matter annihilation is taken from kinematic analysis if available, and estimated from a distance-based scaling relation otherwise, assuming that the stellar systems are dark-matter-dominated dSphs. Read More

We use weak-lensing shear measurements to determine the mean mass of optically selected galaxy clusters in Dark Energy Survey Science Verification data. In a blinded analysis, we split the sample of more than 8,000 redMaPPer clusters into 15 subsets, spanning ranges in the richness parameter $5 \leq \lambda \leq 180$ and redshift $0.2 \leq z \leq 0. Read More

Euclid is a European Space Agency medium class mission selected for launch in 2020 within the Cosmic Vision 2015 2025 program. The main goal of Euclid is to understand the origin of the accelerated expansion of the universe. Euclid will explore the expansion history of the universe and the evolution of cosmic structures by measuring shapes and redshifts of galaxies as well as the distribution of clusters of galaxies over a large fraction of the sky. Read More

We study the galaxy populations in 74 Sunyaev Zeldovich Effect (SZE) selected clusters from the South Pole Telescope (SPT) survey that have been imaged in the science verification phase of the Dark Energy Survey (DES). The sample extends up to $z\sim 1.1$ with $4 \times 10^{14} M_{\odot}\le M_{200}\le 3\times 10^{15} M_{\odot}$. Read More

We present galaxy-galaxy lensing results from 139 square degrees 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 of 29 over scales $0. Read More

2016Mar
Affiliations: 1The Dark Energy Survey Collaboration, 2The Dark Energy Survey Collaboration, 3The Dark Energy Survey Collaboration, 4The Dark Energy Survey Collaboration, 5The Dark Energy Survey Collaboration, 6The Dark Energy Survey Collaboration, 7The Dark Energy Survey Collaboration, 8The Dark Energy Survey Collaboration, 9The Dark Energy Survey Collaboration, 10The Dark Energy Survey Collaboration, 11The Dark Energy Survey Collaboration, 12The Dark Energy Survey Collaboration, 13The Dark Energy Survey Collaboration, 14The Dark Energy Survey Collaboration, 15The Dark Energy Survey Collaboration, 16The Dark Energy Survey Collaboration, 17The Dark Energy Survey Collaboration, 18The Dark Energy Survey Collaboration, 19The Dark Energy Survey Collaboration, 20The Dark Energy Survey Collaboration, 21The Dark Energy Survey Collaboration, 22The Dark Energy Survey Collaboration, 23The Dark Energy Survey Collaboration, 24The Dark Energy Survey Collaboration, 25The Dark Energy Survey Collaboration, 26The Dark Energy Survey Collaboration, 27The Dark Energy Survey Collaboration, 28The Dark Energy Survey Collaboration, 29The Dark Energy Survey Collaboration, 30The Dark Energy Survey Collaboration, 31The Dark Energy Survey Collaboration, 32The Dark Energy Survey Collaboration, 33The Dark Energy Survey Collaboration, 34The Dark Energy Survey Collaboration, 35The Dark Energy Survey Collaboration, 36The Dark Energy Survey Collaboration, 37The Dark Energy Survey Collaboration, 38The Dark Energy Survey Collaboration, 39The Dark Energy Survey Collaboration, 40The Dark Energy Survey Collaboration, 41The Dark Energy Survey Collaboration, 42The Dark Energy Survey Collaboration, 43The Dark Energy Survey Collaboration, 44The Dark Energy Survey Collaboration, 45The Dark Energy Survey Collaboration, 46The Dark Energy Survey Collaboration, 47The Dark Energy Survey Collaboration, 48The Dark Energy Survey Collaboration, 49The Dark Energy Survey Collaboration, 50The Dark Energy Survey Collaboration, 51The Dark Energy Survey Collaboration, 52The Dark Energy Survey Collaboration, 53The Dark Energy Survey Collaboration, 54The Dark Energy Survey Collaboration, 55The Dark Energy Survey Collaboration, 56The Dark Energy Survey Collaboration, 57The Dark Energy Survey Collaboration, 58The Dark Energy Survey Collaboration, 59The Dark Energy Survey Collaboration, 60The Dark Energy Survey Collaboration, 61The Dark Energy Survey Collaboration, 62The Dark Energy Survey Collaboration, 63The Dark Energy Survey Collaboration, 64The Dark Energy Survey Collaboration, 65The Dark Energy Survey Collaboration, 66The Dark Energy Survey Collaboration, 67The Dark Energy Survey Collaboration, 68The Dark Energy Survey Collaboration, 69The Dark Energy Survey Collaboration, 70The Dark Energy Survey Collaboration, 71The Dark Energy Survey Collaboration, 72The Dark Energy Survey Collaboration, 73The Dark Energy Survey Collaboration, 74The Dark Energy Survey Collaboration, 75The Dark Energy Survey Collaboration, 76The Dark Energy Survey Collaboration, 77The Dark Energy Survey Collaboration, 78The Dark Energy Survey Collaboration, 79The Dark Energy Survey Collaboration, 80The Dark Energy Survey Collaboration, 81The Dark Energy Survey Collaboration, 82The Dark Energy Survey Collaboration, 83The Dark Energy Survey Collaboration, 84The Dark Energy Survey Collaboration

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 deg$^2$ 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 $0<\mathcal S / \mathcal N<4$. Read More

We measure the correlation of galaxy lensing and cosmic microwave background lensing with a set of galaxies expected to trace the matter density field. The measurements are performed using pre-survey Dark Energy Survey (DES) Science Verification optical imaging data and millimeter-wave data from the 2500 square degree South Pole Telescope Sunyaev-Zel'dovich (SPT-SZ) survey. The two lensing-galaxy correlations are jointly fit to extract constraints on cosmological parameters, constraints on the redshift distribution of the lens galaxies, and constraints on the absolute shear calibration of DES galaxy lensing measurements. Read More

Using the largest single-survey sample of Type Ia supernovae (SNe Ia) to date, we study the relationship between properties of SNe Ia and those of their host galaxies, focusing primarily on correlations with Hubble residuals (HR). Our sample consists of 345 photometrically-classified or spectroscopically-confirmed SNeIa discovered as part of the SDSS-II Supernova Survey (SDSS-SNS). This analysis utilizes host-galaxy spectroscopy obtained during the SDSS-I/II spectroscopic survey and from an ancillary program on the SDSS-III Baryon Oscillation Spectroscopic Survey (BOSS) that obtained spectra for nearly all host galaxies of SDSS-II SN candidates. Read More

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. Read More

We have developed a crowdsourcing web application for image quality control employed by the Dark Energy Survey. Dubbed the "DES exposure checker", it renders science-grade images directly to a web browser and allows users to mark problematic features from a set of predefined classes. Users can also generate custom labels and thus help identify previously unknown problem classes. Read More

The Sloan Digital Sky Survey IV extended Baryonic Oscillation Spectroscopic Survey (SDSS-IV/eBOSS) will observe 195,000 emission-line galaxies (ELGs) to measure the Baryonic Acoustic Oscillation standard ruler (BAO) at redshift 0.9. To test different ELG selection algorithms, 9,000 spectra were observed with the SDSS spectrograph as a pilot survey based on data from several imaging surveys. Read More

2015Sep
Affiliations: 1The DES Collaboration, 2The DES Collaboration, 3The DES Collaboration, 4The DES Collaboration, 5The DES Collaboration, 6The DES Collaboration, 7The DES Collaboration, 8The DES Collaboration, 9The DES Collaboration, 10The DES Collaboration, 11The DES Collaboration, 12The DES Collaboration, 13The DES Collaboration, 14The DES Collaboration, 15The DES Collaboration, 16The DES Collaboration, 17The DES Collaboration, 18The DES Collaboration, 19The DES Collaboration, 20The DES Collaboration, 21The DES Collaboration, 22The DES Collaboration, 23The DES Collaboration, 24The DES Collaboration, 25The DES Collaboration, 26The DES Collaboration, 27The DES Collaboration, 28The DES Collaboration, 29The DES Collaboration, 30The DES Collaboration, 31The DES Collaboration, 32The DES Collaboration, 33The DES Collaboration, 34The DES Collaboration, 35The DES Collaboration, 36The DES Collaboration, 37The DES Collaboration, 38The DES Collaboration, 39The DES Collaboration, 40The DES Collaboration, 41The DES Collaboration, 42The DES Collaboration, 43The DES Collaboration, 44The DES Collaboration, 45The DES Collaboration, 46The DES Collaboration, 47The DES Collaboration, 48The DES Collaboration, 49The DES Collaboration, 50The DES Collaboration, 51The DES Collaboration, 52The DES Collaboration

We report the discovery of a stellar stream in the Dark Energy Survey (DES) Year 1 (Y1A1) data. The discovery was made through simple color-magnitude filters and visual inspection of the Y1A1 data. We refer to this new object as the Phoenix stream, after its resident constellation. Read More

We demonstrate highly accurate recovery of weak gravitational lensing shear using an implementation of the Bayesian Fourier Domain (BFD) method proposed by Bernstein & Armstrong (2014, BA14), extended to correct for selection biases. The BFD formalism is rigorously correct for Nyquist-sampled, background-limited, uncrowded image of background galaxies. BFD does not assign shapes to galaxies, instead compressing the pixel data D into a vector of moments M, such that we have an analytic expression for the probability P(M|g) of obtaining the observations with gravitational lensing distortion g along the line of sight. Read More

The Dark Energy Survey (DES) is a 5000 sq. degree survey in the southern hemisphere, which is rapidly reducing the existing north-south asymmetry in the census of MW satellites and other stellar substructure. We use the first-year DES data down to previously unprobed photometric depths to search for stellar systems in the Galactic halo, therefore complementing the previous analysis of the same data carried out by our group earlier this year. Read More

2015Aug

We present spectroscopic confirmation of two new lensed quasars via data obtained at the 6.5m Magellan/Baade Telescope. The lens candidates have been selected from the Dark Energy Survey (DES) and WISE based on their multi-band photometry and extended morphology in DES images. Read More

Accurate statistical measurement with large imaging surveys has traditionally required throwing away a sizable fraction of the data. This is because most measurements have have relied on selecting nearly complete samples, where variations in the composition of the galaxy population with seeing, depth, or other survey characteristics are small. We introduce a new measurement method that aims to minimize this wastage, allowing precision measurement for any class of stars or galaxies detectable in an imaging survey. Read More

We introduce redMaGiC, an automated algorithm for selecting Luminous Red Galaxies (LRGs). The algorithm was specifically developed to minimize photometric redshift uncertainties in photometric large-scale structure studies. redMaGiC achieves this by self-training the color-cuts necessary to produce a luminosity-thresholded LRG sample of constant comoving density. Read More

We measure the cross-correlation between the galaxy density in the Dark Energy Survey (DES) Science Verification data and the lensing of the cosmic microwave background (CMB) as reconstructed with the Planck satellite and the South Pole Telescope (SPT). When using the DES main galaxy sample over the full redshift range $0.2 < z < 1. Read More

2015Jul
Authors: The Dark Energy Survey Collaboration, T. Abbott, F. B. Abdalla, S. Allam, A. Amara, J. Annis, R. Armstrong, D. Bacon, M. Banerji, A. H. Bauer, E. Baxter, M. R. Becker, A. Benoit-Lévy, R. A. Bernstein, G. M. Bernstein, E. Bertin, J. Blazek, C. Bonnett, S. L. Bridle, D. Brooks, C. Bruderer, E. Buckley-Geer, D. L. Burke, M. T. Busha, D. Capozzi, A. Carnero Rosell, M. Carrasco Kind, J. Carretero, F. J. Castander, C. Chang, J. Clampitt, M. Crocce, C. E. Cunha, C. B. D'Andrea, L. N. da Costa, R. Das, D. L. DePoy, S. Desai, H. T. Diehl, J. P. Dietrich, S. Dodelson, P. Doel, A. Drlica-Wagner, G. Efstathiou, T. F. Eifler, B. Erickson, J. Estrada, A. E. Evrard, A. Fausti Neto, E. Fernandez, D. A. Finley, B. Flaugher, P. Fosalba, O. Friedrich, J. Frieman, C. Gangkofner, J. Garcia-Bellido, E. Gaztanaga, D. W. Gerdes, D. Gruen, R. A. Gruendl, G. Gutierrez, W. Hartley, M. Hirsch, K. Honscheid, E. M. Huff, B. Jain, D. J. James, M. Jarvis, T. Kacprzak, S. Kent, D. Kirk, E. Krause, A. Kravtsov, K. Kuehn, N. Kuropatkin, J. Kwan, O. Lahav, B. Leistedt, T. S. Li, M. Lima, H. Lin, N. MacCrann, M. March, J. L. Marshall, P. Martini, R. G. McMahon, P. Melchior, C. J. Miller, R. Miquel, J. J. Mohr, E. Neilsen, R. C. Nichol, A. Nicola, B. Nord, R. Ogando, A. Palmese, H. V. Peiris, A. A. Plazas, A. Refregier, N. Roe, A. K. Romer, A. Roodman, B. Rowe, E. S. Rykoff, C. Sabiu, I. Sadeh, M. Sako, S. Samuroff, C. Sánchez, E. Sanchez, H. Seo, I. Sevilla-Noarbe, E. Sheldon, R. C. Smith, M. Soares-Santos, F. Sobreira, E. Suchyta, M. E. C. Swanson, G. Tarle, J. Thaler, D. Thomas, M. A. Troxel, V. Vikram, A. R. Walker, R. H. Wechsler, J. Weller, Y. Zhang, J. Zuntz

We present the first constraints on cosmology from the Dark Energy Survey (DES), using weak lensing measurements from the preliminary Science Verification (SV) data. We use 139 square degrees of SV data, which is less than 3\% of the full DES survey area. Using cosmic shear 2-point measurements over three redshift bins we find $\sigma_8 (\Omega_{\rm m}/0. Read More

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. Read More

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. Read More

2015Jul

We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learning-based photometric redshift methods -- ANNZ2, BPZ calibrated against BCC-Ufig simulations, SkyNet, and TPZ -- are analysed. For training, calibration, and testing of these methods, we construct a catalogue of spectroscopically confirmed galaxies matched against DES SV data. Read More

Spatially-varying depth and characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy survey analyses, in particular in deep multi-epoch surveys. We present a framework to extract and project these sources of systematics onto the sky, and apply it to the Dark Energy Survey (DES) to map the observing conditions of the Science Verification (SV) data. The resulting distributions and maps of sources of systematics are used in several analyses of DES SV to perform detailed null tests with the data, and also to incorporate systematics in survey simulations. Read More

We study the clustering of galaxies detected at $i<22.5$ in the Science Verification observations of the Dark Energy Survey (DES). Two-point correlation functions are measured using $2. Read More

We measure the weak lensing shear around galaxy troughs, i.e. the radial alignment of background galaxies relative to underdensities in projections of the foreground galaxy field over a wide range of redshift in Science Verification data from the Dark Energy Survey. Read More

We cross-match galaxy cluster candidates selected via their Sunyaev-Zel'dovich effect (SZE) signatures in 129.1 deg$^2$ of the South Pole Telescope 2500d SPT-SZ survey with optically identified clusters selected from the Dark Energy Survey (DES) science verification data. We identify 25 clusters between $0. Read More

We describe an algorithm for identifying point-source transients and moving objects on reference-subtracted optical images containing artifacts of processing and instrumentation. The algorithm makes use of the supervised machine learning technique known as Random Forest. We present results from its use in the Dark Energy Survey Supernova program (DES-SN), where it was trained using a sample of 898,963 signal and background events generated by the transient detection pipeline. Read More

The Dark Energy Survey (DES) is currently undertaking an observational program imaging $1/4$ of the southern hemisphere sky with unprecedented photometric accuracy. In the process of observing millions of faint stars and galaxies to constrain the parameters of the dark energy equation of state, the DES will obtain pre-discovery images of the regions surrounding an estimated 100 gamma-ray bursts (GRBs) over five years. Once GRBs are detected by, e. Read More

Weak gravitational lensing allows one to reconstruct the spatial distribution of the projected mass density across the sky. These "mass maps" provide a powerful tool for studying cosmology as they probe both luminous and dark matter. In this paper, we present a weak lensing mass map reconstructed from shear measurements in a 139 sq. Read More

2015Apr
Affiliations: 1The DES Collaboration, 2The DES Collaboration, 3The DES Collaboration, 4The DES Collaboration, 5The DES Collaboration, 6The DES Collaboration, 7The DES Collaboration, 8The DES Collaboration, 9The DES Collaboration, 10The DES Collaboration, 11The DES Collaboration, 12The DES Collaboration, 13The DES Collaboration, 14The DES Collaboration, 15The DES Collaboration, 16The DES Collaboration, 17The DES Collaboration, 18The DES Collaboration, 19The DES Collaboration, 20The DES Collaboration, 21The DES Collaboration, 22The DES Collaboration, 23The DES Collaboration, 24The DES Collaboration, 25The DES Collaboration, 26The DES Collaboration, 27The DES Collaboration, 28The DES Collaboration, 29The DES Collaboration, 30The DES Collaboration, 31The DES Collaboration, 32The DES Collaboration, 33The DES Collaboration, 34The DES Collaboration, 35The DES Collaboration, 36The DES Collaboration, 37The DES Collaboration, 38The DES Collaboration, 39The DES Collaboration, 40The DES Collaboration, 41The DES Collaboration, 42The DES Collaboration, 43The DES Collaboration, 44The DES Collaboration, 45The DES Collaboration, 46The DES Collaboration, 47The DES Collaboration, 48The DES Collaboration, 49The DES Collaboration, 50The DES Collaboration, 51The DES Collaboration, 52The DES Collaboration, 53The DES Collaboration, 54The DES Collaboration, 55The DES Collaboration, 56The DES Collaboration, 57The DES Collaboration, 58The DES Collaboration, 59The DES Collaboration, 60The DES Collaboration, 61The DES Collaboration, 62The DES Collaboration, 63The DES Collaboration, 64The DES Collaboration, 65The DES Collaboration, 66The DES Collaboration, 67The DES Collaboration, 68The DES Collaboration, 69The DES Collaboration, 70The DES Collaboration, 71The DES Collaboration, 72The DES Collaboration

We present Magellan/M2FS, VLT/GIRAFFE, and Gemini South/GMOS spectroscopy of the newly discovered Milky Way satellite Reticulum II. Based on the spectra of 25 Ret II member stars selected from Dark Energy Survey imaging, we measure a mean heliocentric velocity of 62.8 +/- 0. Read More

We report the discovery of eight new Milky Way companions in ~1,800 deg^2 of optical imaging data collected during the first year of the Dark Energy Survey (DES). Each system is identified as a statistically significant over-density of individual stars consistent with the expected isochrone and luminosity function of an old and metal-poor stellar population. The objects span a wide range of absolute magnitudes (M_V from -2. Read More

2015Mar
Authors: The Fermi-LAT Collaboration, The DES Collaboration, :, A. Drlica-Wagner, A. Albert, K. Bechtol, M. Wood, L. Strigari, M. Sanchez-Conde, L. Baldini, R. Essig, J. Cohen-Tanugi, B. Anderson, R. Bellazzini, E. D. Bloom, R. Caputo, C. Cecchi, E. Charles, J. Chiang, A. de Angelis, S. Funk, P. Fusco, F. Gargano, N. Giglietto, F. Giordano, S. Guiriec, M. Gustafsson, M. Kuss, F. Loparco, P. Lubrano, N. Mirabal, T. Mizuno, A. Morselli, T. Ohsugi, E. Orlando, M. Persic, S. Raino, N. Sehgal, F. Spada, D. J. Suson, G. Zaharijas, S. Zimmer, T. Abbott, S. Allam, E. Balbinot, A. H. Bauer, A. Benoit-Levy, R. A. Bernstein, G. M. Bernstein, E. Bertin, D. Brooks, E. Buckley-Geer, D. L. Burke, A. Carnero Rosell, F. J. Castander, R. Covarrubias, C. B. D'Andrea, L. N. da Costa, D. L. DePoy, S. Desai, H. T. Diehl, C. E Cunha, T. F. Eifler, J. Estrada, A. E. Evrard, A. Fausti Neto, E. Fernandez, D. A. Finley, B. Flaugher, J. Frieman, E. Gaztanaga, D. Gerdes, D. Gruen, R. A. Gruendl, G. Gutierrez, K. Honscheid, B. Jain, D. James, T. Jeltema, S. Kent, R. Kron, K. Kuehn, N. Kuropatkin, O. Lahav, T. S. Li, E. Luque, M. A. G. Maia, M. Makler, M. March, J. Marshall, P. Martini, K. W. Merritt, C. Miller, R. Miquel, J. Mohr, E. Neilsen, B. Nord, R. Ogando, J. Peoples, D. Petravick, A. Pieres, A. A. Plazas, A. Queiroz, A. K. Romer, A. Roodman, E. S. Rykoff, M. Sako, E. Sanchez, B. Santiago, V. Scarpine, M. Schubnell, I. Sevilla, R. C. Smith, M. Soares-Santos, F. Sobreira, E. Suchyta, M. E. C. Swanson, G. Tarle, J. Thaler, D. Thomas, D. Tucker, A. Walker, R. H. Wechsler, W. Wester, P. Williams, B. Yanny, J. Zuntz

Due to their proximity, high dark-matter content, and apparent absence of non-thermal processes, Milky Way dwarf spheroidal satellite galaxies (dSphs) are excellent targets for the indirect detection of dark matter. Recently, eight new dSph candidates were discovered using the first year of data from the Dark Energy Survey (DES). We searched for gamma-ray emission coincident with the positions of these new objects in six years of Fermi Large Area Telescope data. Read More

We present DES13S2cmm, the first spectroscopically-confirmed superluminous supernova (SLSN) from the Dark Energy Survey (DES). We briefly discuss the data and search algorithm used to find this event in the first year of DES operations, and outline the spectroscopic data obtained from the European Southern Observatory (ESO) Very Large Telescope to confirm its redshift (z = 0.663 +/- 0. Read More

We present first results from the third GRavitational lEnsing Accuracy Testing (GREAT3) challenge, the third in a sequence of challenges for testing methods of inferring weak gravitational lensing shear distortions from simulated galaxy images. GREAT3 was divided into experiments to test three specific questions, and included simulated space- and ground-based data with constant or cosmologically-varying shear fields. The simplest (control) experiment included parametric galaxies with a realistic distribution of signal-to-noise, size, and ellipticity, and a complex point spread function (PSF). Read More

We present a comparison of two methods for cosmological parameter inference from supernovae Ia lightcurves fitted with the SALT2 technique. The standard chi-square methodology and the recently proposed Bayesian hierarchical method (BHM) are each applied to identical sets of simulations based on the 3-year data release from the Supernova Legacy Survey (SNLS3), and also data from the Sloan Digital Sky Survey (SDSS), the Low Redshift sample and the Hubble Space Telescope (HST), assuming a concordance LCDM cosmology. For both methods, we find that the recovered values of the cosmological parameters, and the global nuisance parameters controlling the stretch and colour corrections to the supernovae lightcurves, suffer from small biasses. Read More

A hierarchical Bayesian method is applied to the analysis of Type-Ia supernovae (SNIa) observations to constrain the properties of the dark matter haloes of galaxies along the SNIa lines-of-sight via their gravitational lensing effect. The full joint posterior distribution of the dark matter halo parameters is explored using the nested sampling algorithm {\sc MultiNest}, which also efficiently calculates the Bayesian evidence, thereby facilitating robust model comparison. We first demonstrate the capabilities of the method by applying it to realistic simulated SNIa data, based on the real 3-year data release from the Supernova Legacy Survey (SNLS3). Read More

Euclid is a European Space Agency medium class mission selected for launch in 2019 within the Cosmic Vision 2015-2025 programme. The main goal of Euclid is to understand the origin of the accelerated expansion of the Universe. Euclid will explore the expansion history of the Universe and the evolution of cosmic structures by measuring shapes and redshifts of galaxies as well as the distribution of clusters of galaxies over a large fraction of the sky. Read More