First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release

Brout, D.; Sako, M.; Scolnic, D.; Kessler, R.; D’Andrea, C. B.; Davis, T. M.; Hinton, S. R.; Kim, A. G.; Lasker, J.; Macaulay, E.; Möller, A.; Nichol, R. C.; Smith, M.; Sullivan, M.; Wolf, R. C.; Allam, S.; Bassett, B. A.; Brown, P.; Castander, F. J.; Childress, M.; Foley, R. J.; Galbany, L.; Herner, K.; Kasai, E.; March, M.; Morganson, E.; Nugent, P.; Pan, Y. -C.; Thomas, R. C.; Tucker, B. E.; Wester, W.; Abbott, T. M.  C.; Annis, J.; Avila, S.; Bertin, E.; Brooks, D.; Burke, D. L.; Rosell, A. Carnero; Kind, M. Carrasco; Carretero, J.; Crocce, M.; Cunha, C. E.; Costa, L. N.  da; Davis, C.; Vicente, J. De; Desai, S.; Diehl, H. T.; Doel, P.; Eifler, T. F.; Flaugher, B.; Fosalba, P.; Frieman, J.; García-Bellido, J.; Gaztanaga, E.; Gerdes, D. W.; Goldstein, D. A.; Gruen, D.; Gruendl, R. A.; Gschwend, J.; Gutierrez, G.; Hartley, W. G.; Hollowood, D. L.; Honscheid, K.; James, D. J.; Kuehn, K.; Kuropatkin, N.; Lahav, O.; Li, T. S.; Lima, M.; Marshall, J. L.; Martini, P.; Miquel, R.; Nord, B.; Plazas, A. A.; Roodman, A.; Rykoff, E. S.; Sanchez, E.; Scarpine, V.; Schindler, R.; Schubnell, M.; Serrano, S.; Sevilla-Noarbe, I.; Soares-Santos, M.; Sobreira, F.; Suchyta, E.; Swanson, M. E.  C.; Tarle, G.; Thomas, D.; Tucker, D. L.; Walker, A. R.; Yanny, B.; Zhang, Y.

doi:10.3847/1538-4357/ab06c1

Title: First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release

Abstract

We present griz light curves of 251 Type Ia Supernovae (SNe Ia) from the first 3 years of the Dark Energy Survey Supernova Program's (DES-SN) spectroscopically classified sample. The photometric pipeline described in this paper produces the calibrated fluxes and associated uncertainties used in the cosmological parameter analysis (Brout et al. 2018-SYS, DES Collaboration et al. 2018) by employing a scene modeling approach that simultaneously forward models a variable transient flux and temporally constant host galaxy. We inject artificial point sources onto DECam images to test the accuracy of our photometric method. Upon comparison of input and measured artificial supernova fluxes, we find flux biases peak at 3 mmag. We require corrections to our photometric uncertainties as a function of host galaxy surface brightness at the transient location, similar to that seen by the DES Difference Imaging Pipeline used to discover transients. The public release of the light curves can be found at this https URL.

Authors:

; Sako, M.; Scolnic, D.;

;

; Davis, T. M.;

; Kim, A. G.; Lasker, J.; Macaulay, E.; Möller, A.; Nichol, R. C.; Smith, M.; Sullivan, M.; Wolf, R. C.; Allam, S.; Bassett, B. A.; Brown, P.;

; Childress, M. more »

Publication Date:: Wed Mar 20 00:00:00 EDT 2019

Research Org.:: SLAC National Accelerator Lab., Menlo Park, CA (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Michigan, Ann Arbor, MI (United States)

Sponsoring Org.:: USDOE Office of Science (SC), High Energy Physics (HEP)

Contributing Org.:: DES Collaboration

OSTI Identifier:: 1487397

Alternate Identifier(s):: OSTI ID: 1526591; OSTI ID: 1527106; OSTI ID: 1727425

Report Number(s):: arXiv:1811.02378; FERMILAB-PUB-18-540-AE
Journal ID: ISSN 1538-4357; 1702396

Grant/Contract Number:: AC02-07CH11359; SC0019193; AC02-05CH11231; AC02-76SF00515

Resource Type:: Accepted Manuscript

Journal Name:: The Astrophysical Journal (Online)

Additional Journal Information:: Journal Name: The Astrophysical Journal (Online); Journal Volume: 874; Journal Issue: 1; Journal ID: ISSN 1538-4357

Publisher:: Institute of Physics (IOP)

Country of Publication:: United States

Language:: English

Subject:: 79 ASTRONOMY AND ASTROPHYSICS; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; cosmology: observations; supernovae: general; techniques: photometric

Citation Formats


                    Brout, D., Sako, M., Scolnic, D., Kessler, R., D’Andrea, C. B., Davis, T. M., Hinton, S. R., Kim, A. G., Lasker, J., Macaulay, E., Möller, A., Nichol, R. C., Smith, M., Sullivan, M., Wolf, R. C., Allam, S., Bassett, B. A., Brown, P., Castander, F. J., Childress, M., Foley, R. J., Galbany, L., Herner, K., Kasai, E., March, M., Morganson, E., Nugent, P., Pan, Y. -C., Thomas, R. C., Tucker, B. E., Wester, W., Abbott, T. M.  C., Annis, J., Avila, S., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Crocce, M., Cunha, C. E., Costa, L. N.  da, Davis, C., Vicente, J. De, Desai, S., Diehl, H. T., Doel, P., Eifler, T. F., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Li, T. S., Lima, M., Marshall, J. L., Martini, P., Miquel, R., Nord, B., Plazas, A. A., Roodman, A., Rykoff, E. S., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E.  C., Tarle, G., Thomas, D., Tucker, D. L., Walker, A. R., Yanny, B., and Zhang, Y. First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release.  United States: N. p., 2019. 
Web.  doi:10.3847/1538-4357/ab06c1.

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                    Brout, D., Sako, M., Scolnic, D., Kessler, R., D’Andrea, C. B., Davis, T. M., Hinton, S. R., Kim, A. G., Lasker, J., Macaulay, E., Möller, A., Nichol, R. C., Smith, M., Sullivan, M., Wolf, R. C., Allam, S., Bassett, B. A., Brown, P., Castander, F. J., Childress, M., Foley, R. J., Galbany, L., Herner, K., Kasai, E., March, M., Morganson, E., Nugent, P., Pan, Y. -C., Thomas, R. C., Tucker, B. E., Wester, W., Abbott, T. M.  C., Annis, J., Avila, S., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Crocce, M., Cunha, C. E., Costa, L. N.  da, Davis, C., Vicente, J. De, Desai, S., Diehl, H. T., Doel, P., Eifler, T. F., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Li, T. S., Lima, M., Marshall, J. L., Martini, P., Miquel, R., Nord, B., Plazas, A. A., Roodman, A., Rykoff, E. S., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E.  C., Tarle, G., Thomas, D., Tucker, D. L., Walker, A. R., Yanny, B., & Zhang, Y. First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release.  United States.  https://doi.org/10.3847/1538-4357/ab06c1

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                    Brout, D., Sako, M., Scolnic, D., Kessler, R., D’Andrea, C. B., Davis, T. M., Hinton, S. R., Kim, A. G., Lasker, J., Macaulay, E., Möller, A., Nichol, R. C., Smith, M., Sullivan, M., Wolf, R. C., Allam, S., Bassett, B. A., Brown, P., Castander, F. J., Childress, M., Foley, R. J., Galbany, L., Herner, K., Kasai, E., March, M., Morganson, E., Nugent, P., Pan, Y. -C., Thomas, R. C., Tucker, B. E., Wester, W., Abbott, T. M.  C., Annis, J., Avila, S., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Crocce, M., Cunha, C. E., Costa, L. N.  da, Davis, C., Vicente, J. De, Desai, S., Diehl, H. T., Doel, P., Eifler, T. F., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Li, T. S., Lima, M., Marshall, J. L., Martini, P., Miquel, R., Nord, B., Plazas, A. A., Roodman, A., Rykoff, E. S., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E.  C., Tarle, G., Thomas, D., Tucker, D. L., Walker, A. R., Yanny, B., and Zhang, Y. Wed .  
"First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release".  United States.  https://doi.org/10.3847/1538-4357/ab06c1.  https://www.osti.gov/servlets/purl/1487397.

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@article{osti_1487397,

  title        = {First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release},

  author       = {Brout, D. and Sako, M. and Scolnic, D. and Kessler, R. and D’Andrea, C. B. and Davis, T. M. and Hinton, S. R. and Kim, A. G. and Lasker, J. and Macaulay, E. and Möller, A. and Nichol, R. C. and Smith, M. and Sullivan, M. and Wolf, R. C. and Allam, S. and Bassett, B. A. and Brown, P. and Castander, F. J. and Childress, M. and Foley, R. J. and Galbany, L. and Herner, K. and Kasai, E. and March, M. and Morganson, E. and Nugent, P. and Pan, Y. -C. and Thomas, R. C. and Tucker, B. E. and Wester, W. and Abbott, T. M.  C. and Annis, J. and Avila, S. and Bertin, E. and Brooks, D. and Burke, D. L. and Rosell, A. Carnero and Kind, M. Carrasco and Carretero, J. and Crocce, M. and Cunha, C. E. and Costa, L. N.  da and Davis, C. and Vicente, J. De and Desai, S. and Diehl, H. T. and Doel, P. and Eifler, T. F. and Flaugher, B. and Fosalba, P. and Frieman, J. and García-Bellido, J. and Gaztanaga, E. and Gerdes, D. W. and Goldstein, D. A. and Gruen, D. and Gruendl, R. A. and Gschwend, J. and Gutierrez, G. and Hartley, W. G. and Hollowood, D. L. and Honscheid, K. and James, D. J. and Kuehn, K. and Kuropatkin, N. and Lahav, O. and Li, T. S. and Lima, M. and Marshall, J. L. and Martini, P. and Miquel, R. and Nord, B. and Plazas, A. A. and Roodman, A. and Rykoff, E. S. and Sanchez, E. and Scarpine, V. and Schindler, R. and Schubnell, M. and Serrano, S. and Sevilla-Noarbe, I. and Soares-Santos, M. and Sobreira, F. and Suchyta, E. and Swanson, M. E.  C. and Tarle, G. and Thomas, D. and Tucker, D. L. and Walker, A. R. and Yanny, B. and Zhang, Y.},

  abstractNote = {We present griz light curves of 251 Type Ia Supernovae (SNe Ia) from the first 3 years of the Dark Energy Survey Supernova Program's (DES-SN) spectroscopically classified sample. The photometric pipeline described in this paper produces the calibrated fluxes and associated uncertainties used in the cosmological parameter analysis (Brout et al. 2018-SYS, DES Collaboration et al. 2018) by employing a scene modeling approach that simultaneously forward models a variable transient flux and temporally constant host galaxy. We inject artificial point sources onto DECam images to test the accuracy of our photometric method. Upon comparison of input and measured artificial supernova fluxes, we find flux biases peak at 3 mmag. We require corrections to our photometric uncertainties as a function of host galaxy surface brightness at the transient location, similar to that seen by the DES Difference Imaging Pipeline used to discover transients. The public release of the light curves can be found at this https URL.},

  doi          = {10.3847/1538-4357/ab06c1},

  journal      = {The Astrophysical Journal (Online)},

  number       = 1,

  volume       = 874,

  place        = {United States},

  year         = {Wed Mar 20 00:00:00 EDT 2019},

  month        = {Wed Mar 20 00:00:00 EDT 2019}

}

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FIG. 1: Visual representation of the SMP process. The model is comprised of a temporally constant galaxy model and a temporally varying SN flux (delta function). Both the SN and galaxy are convolved with the PSF of each image in Fourier space to produce a model which can be comparedmore »

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First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation [First Cosmology Results Using Type IA Supernovae from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation]

Journal Article Brout, D. ; Scolnic, D. ; Kessler, R. ; ... - The Astrophysical Journal (Online)

We present the analysis underpinning the measurement of cosmological parameters from 207 spectroscopically classified type Ia supernovae (SNe Ia) from the first three years of the Dark Energy Survey Supernova Program (DES-SN), spanning a redshift range of 0.017<0.849. We combine the DES-SN sample with an external sample of 122 low-redshift (z<0.1) SNe Ia, resulting in a "DES-SN3YR" sample of 329 SNe Ia. Our cosmological analyses are blinded: after combining our DES-SN3YR distances with constraints from the Cosmic Microwave Background (CMB; Planck Collaboration 2016), our uncertainties in the measurement of the dark energy equation-of-state parameter, w, are .042 (stat) and .059more »« less
Cited by 51
https://doi.org/10.3847/1538-4357/ab08a0

Full Text Available
First cosmology results using type Ia supernovae from the Dark Energy Survey: the effect of host galaxy properties on supernova luminosity

Journal Article Smith, M. ; Sullivan, M. ; Wiseman, P. ; ... - Monthly Notices of the Royal Astronomical Society

We present improved photometric measurements for the host galaxies of 206 spectroscopically confirmed type Ia supernovae discovered by the Dark Energy Survey Supernova Program (DES-SN) and used in the first DES-SN cosmological analysis. For the DES-SN sample, when considering a 5D (z, x1, c, α, β) bias correction, we find evidence of a Hubble residual ‘mass step’, where SNe Ia in high-mass galaxies (>1010M⊙) are intrinsically more luminous (after correction) than their low-mass counterparts bymore »« less
Cited by 44
https://doi.org/10.1093/mnras/staa946
The dark energy survey 5-yr photometrically identified type Ia supernovae

Journal Article Möller, A. ; Smith, M. ; Sako, M. ; ... - Monthly Notices of the Royal Astronomical Society

Here, as part of the cosmology analysis using Type Ia Supernovae (SN Ia) in the Dark Energy Survey (DES), we present photometrically identified SN Ia samples using multiband light curves and host galaxy redshifts. For this analysis, we use the photometric classification framework SuperNNovatrained on realistic DES-like simulations. For reliable classification, we process the DES SN programme (DES-SN) data and introduce improvements to the classifier architecture, obtaining classification accuracies of more than 98 percent on simulations. This is the first SN classification to make use of ensemble methods, resulting in more robust samples. Using photometry, host galaxy redshifts, and a classificationmore »« less
https://doi.org/10.1093/mnras/stac1691
The Dark Energy Survey Supernova Program: Corrections on Photometry Due to Wavelength-dependent Atmospheric Effects

Journal Article Lee, J. ; Acevedo, M. ; Sako, M. ; ... - The Astronomical Journal

Abstract Wavelength-dependent atmospheric effects impact photometric supernova flux measurements for ground-based observations. We present corrections on supernova flux measurements from the Dark Energy Survey Supernova Program’s 5YR sample (DES-SN5YR) for differential chromatic refraction (DCR) and wavelength-dependent seeing, and we show their impact on the cosmological parameters w and Ω m . We use g − i colors of Type Ia supernovae to quantify astrometric offsets caused by DCR and simulate point-spread functions (PSFs) using the GalSIM package to predict the shapes of the PSFs with DCR and wavelength-dependent seeing. We calculate the magnitude corrections and apply them to the magnitudesmore »« less
https://doi.org/10.3847/1538-3881/acca15
Results from the Supernova Photometric Classification Challenge

Journal Article Kessler, Richard ; et al. - Publ.Astron.Soc.Pac.

We report results from the Supernova Photometric Classification Challenge (SNPCC), a publicly released mix of simulated supernovae (SNe), with types (Ia, Ibc, and II) selected in proportion to their expected rate. The simulation was realized in the griz filters of the Dark Energy Survey (DES) with realistic observing conditions (sky noise, point-spread function and atmospheric transparency) based on years of recorded conditions at the DES site. Simulations of non-Ia type SNe are based on spectroscopically confirmed light curves that include unpublished non-Ia samples donated from the Carnegie Supernova Project (CSP), the Supernova Legacy Survey (SNLS), and the Sloan Digital Skymore »« less
https://doi.org/10.1086/657607

Full Text Available

Similar Records

Title: First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release

Abstract

Citation Formats

Figures / Tables:

The Supernova Legacy Survey: measurement of $\Omega_{\mathsf{M}}$, $\Omega_\mathsf{\Lambda}$ and w from the first year data set journal, January 2006

GalSim: The modular galaxy image simulation toolkit journal, April 2015

The brighter-fatter effect and pixel correlations in CCD sensors journal, March 2014

A 2.4% Determination of the Local Value of the Hubble Constant journal, July 2016

The Difference Imaging Pipeline for the Transient Search in the dark Energy Survey journal, November 2015

Characterization and correction of charge-induced pixel shifts in DECam journal, May 2015

Instrumental Response Model and Detrending for the Dark Energy Camera journal, September 2017

Forward Global Photometric Calibration of the Dark Energy Survey journal, December 2017

The dark Energy Camera journal, October 2015

Transverse electric fields' effects in the Dark Energy Camera CCDs journal, April 2014

Automated Transient Identification in the dark Energy Survey journal, August 2015

The Sloan Digital sky Survey-Ii: Photometry and Supernova ia Light Curves from the 2005 data journal, November 2008

A Search for Kilonovae in the Dark Energy Survey journal, March 2017

SNANA: A Public Software Package for Supernova Analysis journal, September 2009

The USNO-B Catalog journal, February 2003

The DECam Plane Survey: Optical Photometry of Two Billion Objects in the Southern Galactic Plane journal, February 2018

The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. I. Discovery of the Optical Counterpart Using the Dark Energy Camera journal, October 2017

Photometry of supernovae in an image series: methods and application to the SuperNova Legacy Survey (SNLS) journal, August 2013

Supernova Simulations and Strategies for the dark Energy Survey journal, June 2012

COSMOLOGICAL CONSTRAINTS FROM MEASUREMENTS OF TYPE Ia SUPERNOVAE DISCOVERED DURING THE FIRST 1.5 yr OF THE Pan-STARRS1 SURVEY journal, October 2014

Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant journal, September 1998

Assessment of Systematic Chromatic Errors that Impact Sub-1% Photometric Precision in Large-Area sky Surveys journal, May 2016

The Complete Light-curve Sample of Spectroscopically Confirmed SNe Ia from Pan-STARRS1 and Cosmological Constraints from the Combined Pantheon Sample journal, May 2018

Measuring the Properties of Dark Energy with Photometrically Classified Pan-STARRS Supernovae. I. Systematic Uncertainty from Core-collapse Supernova Contamination journal, June 2017

Measurements of Ω and Λ from 42 High‐Redshift Supernovae journal, June 1999

The Dark Energy Survey Image Processing Pipeline journal, May 2018

Astrometric Calibration and Performance of the Dark Energy Camera journal, May 2017

Monte Carlo Sampling Methods Using Markov Chains and Their Applications journal, April 1970

A dark Energy Camera Search for an Optical Counterpart to the First Advanced ligo Gravitational wave Event Gw150914 journal, May 2016

GALSIM: The modular galaxy image simulation toolkit text, January 2015

GALSIM: The modular galaxy image simulation toolkit text, January 2015

The Sloan Digital Sky Survey-II: Photometry and Supernova Ia Light Curves from the 2005 data text, January 2009

Supernova Simulations and Strategies For the Dark Energy Survey text, January 2011

The brighter-fatter effect and pixel correlations in CCD sensors text, January 2014

Characterization and correction of charge-induced pixel shifts in DECam text, January 2015

Automated Transient Identification in the Dark Energy Survey text, January 2015

A 2.4% Determination of the Local Value of the Hubble Constant text, January 2016

Astrometric calibration and performance of the Dark Energy Camera text, January 2017

Forward Global Photometric Calibration of the Dark Energy Survey text, January 2017

Instrumental response model and detrending for the Dark Energy Camera text, January 2017

The Dark Energy Survey Image Processing Pipeline text, January 2018

Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC) journal, July 2019

First cosmological results using Type Ia supernovae from the Dark Energy Survey: measurement of the Hubble constant journal, April 2019

Stress testing the dark energy equation of state imprint on supernova data journal, June 2019

Type Ia Supernovae Are Excellent Standard Candles in the Near-infrared journal, December 2019

Type Ia Supernovae Are Excellent Standard Candles in the Near-infrared text, January 2019

Models and simulations for the photometric lsst astronomical time series classification challenge (Plasticc) text, January 2019

Type Ia Supernovae are Excellent Standard Candles in the Near-Infrared text, January 2019

The Supernova Legacy Survey: measurement of $\Omega_{\mathsf{M}}$, $\Omega_\mathsf{\Lambda}$ and w from the first year data set
journal, January 2006

GalSim: The modular galaxy image simulation toolkit
journal, April 2015

The brighter-fatter effect and pixel correlations in CCD sensors
journal, March 2014

A 2.4% Determination of the Local Value of the Hubble Constant
journal, July 2016

The Difference Imaging Pipeline for the Transient Search in the dark Energy Survey
journal, November 2015

Characterization and correction of charge-induced pixel shifts in DECam
journal, May 2015

Instrumental Response Model and Detrending for the Dark Energy Camera
journal, September 2017

Forward Global Photometric Calibration of the Dark Energy Survey
journal, December 2017

The dark Energy Camera
journal, October 2015

Transverse electric fields' effects in the Dark Energy Camera CCDs
journal, April 2014

Automated Transient Identification in the dark Energy Survey
journal, August 2015

The Sloan Digital sky Survey-Ii: Photometry and Supernova ia Light Curves from the 2005 data
journal, November 2008

A Search for Kilonovae in the Dark Energy Survey
journal, March 2017

SNANA: A Public Software Package for Supernova Analysis
journal, September 2009

The USNO-B Catalog
journal, February 2003

The DECam Plane Survey: Optical Photometry of Two Billion Objects in the Southern Galactic Plane
journal, February 2018

The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. I. Discovery of the Optical Counterpart Using the Dark Energy Camera
journal, October 2017

Photometry of supernovae in an image series: methods and application to the SuperNova Legacy Survey (SNLS)
journal, August 2013

Supernova Simulations and Strategies for the dark Energy Survey
journal, June 2012

COSMOLOGICAL CONSTRAINTS FROM MEASUREMENTS OF TYPE Ia SUPERNOVAE DISCOVERED DURING THE FIRST 1.5 yr OF THE Pan-STARRS1 SURVEY
journal, October 2014

Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant
journal, September 1998

Assessment of Systematic Chromatic Errors that Impact Sub-1% Photometric Precision in Large-Area sky Surveys
journal, May 2016

The Complete Light-curve Sample of Spectroscopically Confirmed SNe Ia from Pan-STARRS1 and Cosmological Constraints from the Combined Pantheon Sample
journal, May 2018

Measuring the Properties of Dark Energy with Photometrically Classified Pan-STARRS Supernovae. I. Systematic Uncertainty from Core-collapse Supernova Contamination
journal, June 2017

Measurements of Ω and Λ from 42 High‐Redshift Supernovae
journal, June 1999

The Dark Energy Survey Image Processing Pipeline
journal, May 2018

Astrometric Calibration and Performance of the Dark Energy Camera
journal, May 2017

Monte Carlo Sampling Methods Using Markov Chains and Their Applications
journal, April 1970

A dark Energy Camera Search for an Optical Counterpart to the First Advanced ligo Gravitational wave Event Gw150914
journal, May 2016

GALSIM: The modular galaxy image simulation toolkit
text, January 2015

GALSIM: The modular galaxy image simulation toolkit
text, January 2015

The Sloan Digital Sky Survey-II: Photometry and Supernova Ia Light Curves from the 2005 data
text, January 2009

Supernova Simulations and Strategies For the Dark Energy Survey
text, January 2011

The brighter-fatter effect and pixel correlations in CCD sensors
text, January 2014

Characterization and correction of charge-induced pixel shifts in DECam
text, January 2015

Automated Transient Identification in the Dark Energy Survey
text, January 2015

A 2.4% Determination of the Local Value of the Hubble Constant
text, January 2016

Astrometric calibration and performance of the Dark Energy Camera
text, January 2017

Forward Global Photometric Calibration of the Dark Energy Survey
text, January 2017

Instrumental response model and detrending for the Dark Energy Camera
text, January 2017

The Dark Energy Survey Image Processing Pipeline
text, January 2018

Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)
journal, July 2019

First cosmological results using Type Ia supernovae from the Dark Energy Survey: measurement of the Hubble constant
journal, April 2019

Stress testing the dark energy equation of state imprint on supernova data
journal, June 2019

Type Ia Supernovae Are Excellent Standard Candles in the Near-infrared
journal, December 2019

Type Ia Supernovae Are Excellent Standard Candles in the Near-infrared
text, January 2019

Models and simulations for the photometric lsst astronomical time series classification challenge (Plasticc)
text, January 2019

Type Ia Supernovae are Excellent Standard Candles in the Near-Infrared
text, January 2019