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Daniel J. Farrow

Bio: Daniel J. Farrow is an academic researcher from Max Planck Society. The author has contributed to research in topics: Galaxy & Physics. The author has an hindex of 7, co-authored 15 publications receiving 1827 citations. Previous affiliations of Daniel J. Farrow include Durham University & Ludwig Maximilian University of Munich.
Topics: Galaxy, Physics, Astrophysics, Redshift, Luminosity

Papers
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K. C. Chambers, E. A. Magnier, Nigel Metcalfe, H. Flewelling, M. E. Huber, Christopher Waters, L. Denneau, Peter W. Draper, Daniel J. Farrow, D. P. Finkbeiner, C. Holmberg, J. Koppenhoefer, P. A. Price, A. Rest, Roberto P. Saglia, Edward F. Schlafly, Stephen J. Smartt, W. E. Sweeney, R. J. Wainscoat, W. S. Burgett, S. Chastel, T. Grav, J. N. Heasley, Klaus W. Hodapp, Robert Jedicke, Nick Kaiser, R. P. Kudritzki, G. A. Luppino, Robert H. Lupton, David G. Monet, John Morgan, Peter M. Onaka, Bernie Shiao, Christopher W. Stubbs, John L. Tonry, R. L. White, Eduardo Bañados, Eric F. Bell, Ralf Bender, Edouard J. Bernard, M. Boegner, F. Boffi, M. T. Botticella, Annalisa Calamida, Stefano Casertano, W.-P. Chen, X. Chen, Shaun Cole, Niall R. Deacon, C. Frenk, Alan Fitzsimmons, Suvi Gezari, V. Gibbs, C. Goessl, T. Goggia, R. Gourgue, Bertrand Goldman, Phillip Grant, Eva K. Grebel, Nigel Hambly, G. Hasinger, Alan Heavens, Timothy M. Heckman, Robert Henderson, Th. Henning, M. J. Holman, Ulrich Hopp, Wing-Huen Ip, S. Isani, M. Jackson, C. D. Keyes, Anton M. Koekemoer, Rubina Kotak, D. Le, D. Liska, K. S. Long, John R. Lucey, M. Liu, Nicolas F. Martin, G. Masci, Brian McLean, E. Mindel, P. Misra, E. Morganson, David Murphy, A. Obaika, Gautham Narayan, M. Nieto-Santisteban, Peder Norberg, John A. Peacock, E. A. Pier, Marc Postman, N. Primak, C. Rae, A. Rai, Adam G. Riess, A. Riffeser, H. W. Rix, Siegfried Röser, R. Russel, L. Rutz, Elena Schilbach, A. S. B. Schultz, Daniel Scolnic, Louis Gregory Strolger, Alexander S. Szalay, Stella Seitz, E. Small, K. W. Smith, D. R. Soderblom, P. Taylor, Robert R. Thomson, Andy Taylor, A. R. Thakar, J. Thiel, D. A. Thilker, D. Unger, Yuji Urata, Jeff A. Valenti, J. Wagner, T. Walder, Fabian Walter, S. Watters, S. Werner, W. M. Wood-Vasey, R. F. G. Wyse 
TL;DR: Pan-STARRS1 has carried out a set of distinct synoptic imaging sky surveys including the 3ππ$ Steradian Survey and the Medium Deep Survey in 5 bands as mentioned in this paper.
Abstract: Pan-STARRS1 has carried out a set of distinct synoptic imaging sky surveys including the $3\pi$ Steradian Survey and the Medium Deep Survey in 5 bands ($grizy_{P1}$). The mean 5$\sigma$ point source limiting sensitivities in the stacked 3$\pi$ Steradian Survey in $grizy_{P1}$ are (23.3, 23.2, 23.1, 22.3, 21.4) respectively. The upper bound on the systematic uncertainty in the photometric calibration across the sky is 7-12 millimag depending on the bandpass. The systematic uncertainty of the astrometric calibration using the Gaia frame comes from a comparison of the results with Gaia: the standard deviation of the mean and median residuals ($ \Delta ra, \Delta dec $) are (2.3, 1.7) milliarcsec, and (3.1, 4.8) milliarcsec respectively. The Pan-STARRS system and the design of the PS1 surveys are described and an overview of the resulting image and catalog data products and their basic characteristics are described together with a summary of important results. The images, reduced data products, and derived data products from the Pan-STARRS1 surveys are available to the community from the Mikulski Archive for Space Telescopes (MAST) at STScI.

1,257 citations

Journal ArticleDOI
TL;DR: The database is described in detail, including the construction of the database, the provenance of the data, the schema, and how the database tables are related.
Abstract: This paper describes the organization of the database and the catalog data products from the Pan-STARRS1 $3\pi$ Steradian Survey. The catalog data products are available in the form of an SQL-based relational database from MAST, the Mikulski Archive for Space Telescopes at STScI. The database is described in detail, including the construction of the database, the provenance of the data, the schema, and how the database tables are related. Examples of queries for a range of science goals are included. The catalog data products are available in the form of an SQL-based relational database from MAST, the Mikulski Archive for Space Telescopes at STScI.

315 citations

Journal ArticleDOI
TL;DR: In this article, the authors describe the search for apparently hostless supernovae (SNe) within the first year of Pan-STARRS1 (PS1) data with an aim of discovering superluminous supernova (SLSNe).
Abstract: The Pan-STARRS1 (PS1) survey has obtained imaging in five bands (griz yP1) over 10 Medium Deep Survey (MDS) fields covering a total of 70 square degrees. This paper describes the search for apparently hostless supernovae (SNe) within the first year of PS1 MDS data with an aim of discovering superluminous supernovae (SLSNe). A total of 249 hostless transients were discovered down to a limiting magnitude of MAB ∼ 23.5, of which 76 were classified as Type Ia supernovae (SNe Ia). There were 57 SNe with complete light curves that are likely core-collapse SNe (CCSNe) or type Ic SLSNe and 12 of these have had spectra taken. Of these 12 hostless, non-Type Ia SNe, 7 were SLSNe of type Ic at redshifts between 0.5 and 1.4. This illustrates that the discovery rate of type Ic SLSNe can be maximized by concentrating on hostless transients and removing normal SNe Ia. We present data for two possible SLSNe; PS1-10pm (z = 1.206) and PS1-10ahf (z = 1.1), and estimate the rate of type Ic SLSNe to be between 3+3−2×10−5 and 8+2−1×10−5 that of the CCSN rate within 0.3 ≤ z ≤ 1.4 by applying a Monte Carlo technique. The rate of slowly evolving, type Ic SLSNe (such as SN2007bi) is estimated as a factor of 10 lower than this range.

103 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used the WISE-2MASS infrared galaxy catalogue matched with Pan-STARRS1 (PS1) galaxies to search for a supervoid in the direction of the cosmic microwave background (CMB) cold spot (CS).
Abstract: We use the WISE-2MASS infrared galaxy catalogue matched with Pan-STARRS1 (PS1) galaxies to search for a supervoid in the direction of the cosmic microwave background (CMB) cold spot (CS). Our imaging catalogue has median redshift z ≃ 0.14, and we obtain photometric redshifts from PS1 optical colours to create a tomographic map of the galaxy distribution. The radial profile centred on the CS shows a large low-density region, extending over tens of degrees. Motivated by previous CMB results, we test for underdensities within two angular radii, 5°, and 15°. The counts in photometric redshift bins show significantly low densities at high detection significance, ≳5σ and ≳6σ, respectively, for the two fiducial radii. The line-of-sight position of the deepest region of the void is z ≃ 0.15–0.25. Our data, combined with an earlier measurement by Granett, Szapudi & Neyrinck, are consistent with a large Rvoid = (220 ± 50) h−1 Mpc supervoid with δm ≃ −0.14 ± 0.04 centred at z = 0.22 ± 0.03. Such a supervoid, constituting at least a ≃3.3σ fluctuation in a Gaussian distribution of the Λ cold dark matter model, is a plausible cause for the CS.

99 citations

Journal ArticleDOI
TL;DR: Galaxy And Mass Assembly Data Release 4 (GAMA DR4) as discussed by the authors provides a full spectroscopic red-shift sample of the galaxy population, which includes 248 682 galaxy spectra and results in 330 542 redshifts across the sky regions covering ∼ 250 deg 2 .
Abstract: In Galaxy And Mass Assembly Data Release 4 (GAMA DR4), we make available our full spectroscopic redshift sample. This includes 248 682 galaxy spectra, and, in combination with earlier surveys, results in 330 542 redshifts across five sky regions covering ∼ 250 deg 2 . The redshift density, is the highest available over such a sustained area, has exceptionally high completeness (95 per cent to r KiDS = 19 . 65 mag), and is well suited for the study of galaxy mergers, galaxy groups, and the low redshift ( z < 0 . 25) galaxy population. DR4 includes 32 value-added tables or Data Management Units (DMUs) that provide a number of measured and derived data products including GALEX, ESO KiDS, ESO VIKING, WISE and Herschel Space Observatory imaging. Within this release, we provide visual morphologies for 15 330 galaxies to z < 0 . 08, photometric redshift estimates for all 18 million objects to r KiDS ∼ 25 mag, and stellar velocity dispersions for 111 830 galaxies. We conclude by deriving the total galaxy stellar mass function (GSMF) and its sub-division by morphological class (elliptical, compact-bulge and disc, diffuse-bulge and disc, and disc only). This extends our previous measurement of the total GSMF down to 10 6 . 75 M (cid:12) h − 2 70 and we find a total stellar mass density of ρ ∗ = (2 . 97 ± 0 . 04) × 10 8 M (cid:12) h 70 Mpc − 3 or Ω ∗ = (2 . 17 ± 0 . 03) × 10 − 3 h − 1 70 . We conclude that at z < 0 . 1, the Universe has converted 4 . 9 ± 0 . 1 per cent of the baryonic mass implied by Big Bang Nucleosynthesis into stars that are gravitationally bound within the galaxy population.

47 citations


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TL;DR: The second Gaia data release, Gaia DR2 as mentioned in this paper, is a major advance with respect to Gaia DR1 in terms of completeness, performance, and richness of the data products.
Abstract: Context. We present the second Gaia data release, Gaia DR2, consisting of astrometry, photometry, radial velocities, and information on astrophysical parameters and variability, for sources brighter than magnitude 21. In addition epoch astrometry and photometry are provided for a modest sample of minor planets in the solar system. Aims: A summary of the contents of Gaia DR2 is presented, accompanied by a discussion on the differences with respect to Gaia DR1 and an overview of the main limitations which are still present in the survey. Recommendations are made on the responsible use of Gaia DR2 results. Methods: The raw data collected with the Gaia instruments during the first 22 months of the mission have been processed by the Gaia Data Processing and Analysis Consortium (DPAC) and turned into this second data release, which represents a major advance with respect to Gaia DR1 in terms of completeness, performance, and richness of the data products. Results: Gaia DR2 contains celestial positions and the apparent brightness in G for approximately 1.7 billion sources. For 1.3 billion of those sources, parallaxes and proper motions are in addition available. The sample of sources for which variability information is provided is expanded to 0.5 million stars. This data release contains four new elements: broad-band colour information in the form of the apparent brightness in the GBP (330-680 nm) and GRP (630-1050 nm) bands is available for 1.4 billion sources; median radial velocities for some 7 million sources are presented; for between 77 and 161 million sources estimates are provided of the stellar effective temperature, extinction, reddening, and radius and luminosity; and for a pre-selected list of 14 000 minor planets in the solar system epoch astrometry and photometry are presented. Finally, Gaia DR2 also represents a new materialisation of the celestial reference frame in the optical, the Gaia-CRF2, which is the first optical reference frame based solely on extragalactic sources. There are notable changes in the photometric system and the catalogue source list with respect to Gaia DR1, and we stress the need to consider the two data releases as independent. Conclusions: Gaia DR2 represents a major achievement for the Gaia mission, delivering on the long standing promise to provide parallaxes and proper motions for over 1 billion stars, and representing a first step in the availability of complementary radial velocity and source astrophysical information for a sample of stars in the Gaia survey which covers a very substantial fraction of the volume of our galaxy.

8,308 citations

Journal ArticleDOI
TL;DR: In this article, a binary neutron star coalescence candidate (later designated GW170817) with merger time 12:41:04 UTC was observed through gravitational waves by the Advanced LIGO and Advanced Virgo detectors.
Abstract: On 2017 August 17 a binary neutron star coalescence candidate (later designated GW170817) with merger time 12:41:04 UTC was observed through gravitational waves by the Advanced LIGO and Advanced Virgo detectors. The Fermi Gamma-ray Burst Monitor independently detected a gamma-ray burst (GRB 170817A) with a time delay of $\sim$1.7 s with respect to the merger time. From the gravitational-wave signal, the source was initially localized to a sky region of 31 deg$^2$ at a luminosity distance of $40^{+8}_{-8}$ Mpc and with component masses consistent with neutron stars. The component masses were later measured to be in the range 0.86 to 2.26 Msun. An extensive observing campaign was launched across the electromagnetic spectrum leading to the discovery of a bright optical transient (SSS17a, now with the IAU identification of AT 2017gfo) in NGC 4993 (at $\sim$40 Mpc) less than 11 hours after the merger by the One-Meter, Two Hemisphere (1M2H) team using the 1 m Swope Telescope. The optical transient was independently detected by multiple teams within an hour. Subsequent observations targeted the object and its environment. Early ultraviolet observations revealed a blue transient that faded within 48 hours. Optical and infrared observations showed a redward evolution over $\sim$10 days. Following early non-detections, X-ray and radio emission were discovered at the transient's position $\sim$9 and $\sim$16 days, respectively, after the merger. Both the X-ray and radio emission likely arise from a physical process that is distinct from the one that generates the UV/optical/near-infrared emission. No ultra-high-energy gamma-rays and no neutrino candidates consistent with the source were found in follow-up searches. (Abridged)

3,180 citations

Posted Content
K. C. Chambers, E. A. Magnier, Nigel Metcalfe, H. Flewelling, M. E. Huber, Christopher Waters, L. Denneau, Peter W. Draper, Daniel J. Farrow, D. P. Finkbeiner, C. Holmberg, J. Koppenhoefer, P. A. Price, A. Rest, Roberto P. Saglia, Edward F. Schlafly, Stephen J. Smartt, W. E. Sweeney, R. J. Wainscoat, W. S. Burgett, S. Chastel, T. Grav, J. N. Heasley, Klaus W. Hodapp, Robert Jedicke, Nick Kaiser, R. P. Kudritzki, G. A. Luppino, Robert H. Lupton, David G. Monet, John Morgan, Peter M. Onaka, Bernie Shiao, Christopher W. Stubbs, John L. Tonry, R. L. White, Eduardo Bañados, Eric F. Bell, Ralf Bender, Edouard J. Bernard, M. Boegner, F. Boffi, M. T. Botticella, Annalisa Calamida, Stefano Casertano, W.-P. Chen, X. Chen, Shaun Cole, Niall R. Deacon, C. Frenk, Alan Fitzsimmons, Suvi Gezari, V. Gibbs, C. Goessl, T. Goggia, R. Gourgue, Bertrand Goldman, Phillip Grant, Eva K. Grebel, Nigel Hambly, G. Hasinger, Alan Heavens, Timothy M. Heckman, Robert Henderson, Th. Henning, M. J. Holman, Ulrich Hopp, Wing-Huen Ip, S. Isani, M. Jackson, C. D. Keyes, Anton M. Koekemoer, Rubina Kotak, D. Le, D. Liska, K. S. Long, John R. Lucey, M. Liu, Nicolas F. Martin, G. Masci, Brian McLean, E. Mindel, P. Misra, E. Morganson, David Murphy, A. Obaika, Gautham Narayan, M. Nieto-Santisteban, Peder Norberg, John A. Peacock, E. A. Pier, Marc Postman, N. Primak, C. Rae, A. Rai, Adam G. Riess, A. Riffeser, H. W. Rix, Siegfried Röser, R. Russel, L. Rutz, Elena Schilbach, A. S. B. Schultz, Daniel Scolnic, Louis Gregory Strolger, Alexander S. Szalay, Stella Seitz, E. Small, K. W. Smith, D. R. Soderblom, P. Taylor, Robert R. Thomson, Andy Taylor, A. R. Thakar, J. Thiel, D. A. Thilker, D. Unger, Yuji Urata, Jeff A. Valenti, J. Wagner, T. Walder, Fabian Walter, S. Watters, S. Werner, W. M. Wood-Vasey, R. F. G. Wyse 
TL;DR: Pan-STARRS1 has carried out a set of distinct synoptic imaging sky surveys including the 3ππ$ Steradian Survey and the Medium Deep Survey in 5 bands as mentioned in this paper.
Abstract: Pan-STARRS1 has carried out a set of distinct synoptic imaging sky surveys including the $3\pi$ Steradian Survey and the Medium Deep Survey in 5 bands ($grizy_{P1}$). The mean 5$\sigma$ point source limiting sensitivities in the stacked 3$\pi$ Steradian Survey in $grizy_{P1}$ are (23.3, 23.2, 23.1, 22.3, 21.4) respectively. The upper bound on the systematic uncertainty in the photometric calibration across the sky is 7-12 millimag depending on the bandpass. The systematic uncertainty of the astrometric calibration using the Gaia frame comes from a comparison of the results with Gaia: the standard deviation of the mean and median residuals ($ \Delta ra, \Delta dec $) are (2.3, 1.7) milliarcsec, and (3.1, 4.8) milliarcsec respectively. The Pan-STARRS system and the design of the PS1 surveys are described and an overview of the resulting image and catalog data products and their basic characteristics are described together with a summary of important results. The images, reduced data products, and derived data products from the Pan-STARRS1 surveys are available to the community from the Mikulski Archive for Space Telescopes (MAST) at STScI.

1,257 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present optical light curves, redshifts, and classifications for 365 spectroscopically confirmed Type Ia supernovae (SNe Ia) discovered by the Pan-STARRS1 (PS1) Medium Deep Survey.
Abstract: We present optical light curves, redshifts, and classifications for 365 spectroscopically confirmed Type Ia supernovae (SNe Ia) discovered by the Pan-STARRS1 (PS1) Medium Deep Survey. We detail improvements to the PS1 SN photometry, astrometry and calibration that reduce the systematic uncertainties in the PS1 SN Ia distances. We combine the subset of 279 PS1 SN Ia ($0.03 < z < 0.68$) with useful distance estimates of SN Ia from SDSS, SNLS, various low-z and HST samples to form the largest combined sample of SN Ia consisting of a total of 1048 SN Ia ranging from $0.01 < z < 2.3$, which we call the `Pantheon Sample'. When combining Planck 2015 CMB measurements with the Pantheon SN sample, we find $\Omega_m=0.307\pm0.012$ and $w = -1.026\pm0.041$ for the wCDM model. When the SN and CMB constraints are combined with constraints from BAO and local H0 measurements, the analysis yields the most precise measurement of dark energy to date: $w0 = -1.007\pm 0.089$ and $wa = -0.222 \pm0.407$ for the w0waCDM model. Tension with a cosmological constant previously seen in an analysis of PS1 and low-z SNe has diminished after an increase of $2\times$ in the statistics of the PS1 sample, improved calibration and photometry, and stricter light-curve quality cuts. We find the systematic uncertainties in our measurements of dark energy are almost as large as the statistical uncertainties, primarily due to limitations of modeling the low-redshift sample. This must be addressed for future progress in using SN Ia to measure dark energy.

1,084 citations

Journal ArticleDOI
Eric C. Bellm1, Shrinivas R. Kulkarni2, Matthew J. Graham2, Richard Dekany2, Roger M. H. Smith2, Reed Riddle2, Frank J. Masci2, George Helou2, Thomas A. Prince2, Scott M. Adams2, Cristina Barbarino3, Tom A. Barlow2, James Bauer4, Ron Beck2, Justin Belicki2, Rahul Biswas3, Nadejda Blagorodnova2, Dennis Bodewits4, Bryce Bolin1, V. Brinnel5, Tim Brooke2, Brian D. Bue2, Mattia Bulla3, Rick Burruss2, S. Bradley Cenko6, S. Bradley Cenko4, Chan-Kao Chang7, Andrew J. Connolly1, Michael W. Coughlin2, John Cromer2, Virginia Cunningham4, Kaushik De2, Alex Delacroix2, Vandana Desai2, Dmitry A. Duev2, Gwendolyn Eadie1, Tony L. Farnham4, Michael Feeney2, Ulrich Feindt3, David Flynn2, Anna Franckowiak, Sara Frederick4, Christoffer Fremling2, Avishay Gal-Yam8, Suvi Gezari4, Matteo Giomi5, Daniel A. Goldstein2, V. Zach Golkhou1, Ariel Goobar3, Steven Groom2, Eugean Hacopians2, David Hale2, John Henning2, Anna Y. Q. Ho2, David Hover2, Justin Howell2, Tiara Hung4, Daniela Huppenkothen1, David Imel2, Wing-Huen Ip7, Wing-Huen Ip9, Željko Ivezić1, Edward Jackson2, Lynne Jones1, Mario Juric1, Mansi M. Kasliwal2, Shai Kaspi10, Stephen Kaye2, Michael S. P. Kelley4, Marek Kowalski5, Emily Kramer2, Thomas Kupfer11, Thomas Kupfer2, Walter Landry2, Russ R. Laher2, Chien De Lee7, Hsing Wen Lin12, Hsing Wen Lin7, Zhong-Yi Lin7, Ragnhild Lunnan3, Ashish Mahabal2, Peter H. Mao2, Adam A. Miller13, Adam A. Miller14, Serge Monkewitz2, Patrick J. Murphy2, Chow-Choong Ngeow7, Jakob Nordin5, Peter Nugent15, Peter Nugent16, Eran O. Ofek8, Maria T. Patterson1, Bryan E. Penprase17, Michael Porter2, L. Rauch, Umaa Rebbapragada2, Daniel J. Reiley2, Mickael Rigault18, Hector P. Rodriguez2, Jan van Roestel19, Ben Rusholme2, J. V. Santen, Steve Schulze8, David L. Shupe2, Leo Singer6, Leo Singer4, Maayane T. Soumagnac8, Robert Stein, Jason Surace2, Jesper Sollerman3, Paula Szkody1, Francesco Taddia3, Scott Terek2, Angela Van Sistine20, Sjoert van Velzen4, W. Thomas Vestrand21, Richard Walters2, Charlotte Ward4, Quanzhi Ye2, Po-Chieh Yu7, Lin Yan2, Jeffry Zolkower2 
TL;DR: The Zwicky Transient Facility (ZTF) as mentioned in this paper is a new optical time-domain survey that uses the Palomar 48 inch Schmidt telescope, which provides a 47 deg^2 field of view and 8 s readout time, yielding more than an order of magnitude improvement in survey speed relative to its predecessor survey.
Abstract: The Zwicky Transient Facility (ZTF) is a new optical time-domain survey that uses the Palomar 48 inch Schmidt telescope. A custom-built wide-field camera provides a 47 deg^2 field of view and 8 s readout time, yielding more than an order of magnitude improvement in survey speed relative to its predecessor survey, the Palomar Transient Factory. We describe the design and implementation of the camera and observing system. The ZTF data system at the Infrared Processing and Analysis Center provides near-real-time reduction to identify moving and varying objects. We outline the analysis pipelines, data products, and associated archive. Finally, we present on-sky performance analysis and first scientific results from commissioning and the early survey. ZTF's public alert stream will serve as a useful precursor for that of the Large Synoptic Survey Telescope.

1,009 citations