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Title: Toward Rate Estimation for Transient Surveys. I. Assessing Transient Detectability and Volume Sensitivity for iPTF

Abstract

The past couple of decades have seen an emergence of transient detection facilities in various avenues of time-domain astronomy that have provided us with a rich data set of transients. The rates of these transients have implications in star formation, progenitor models, evolution channels, and cosmology measurements. The crucial component of any rate calculation is the detectability and spacetime volume sensitivity of a survey to a particular transient type as a function of many intrinsic and extrinsic parameters. Fully sampling that multidimensional parameter space is challenging. Instead, we present a scheme to assess the detectability of transients using supervised machine learning. The data product is a classifier that determines the detection likelihood of sources resulting from an image subtraction pipeline associated with time-domain survey telescopes, taking into consideration the intrinsic properties of the transients and the observing conditions. We apply our method to assess the spacetime volume sensitivity of type Ia supernovae (SNe Ia) in the intermediate Palomar Transient Factory (iPTF) and obtain the result, ⟨VTIa = (2.93 ± 0.21) × 10-2 Gpc3 yr. With rate estimates in the literature, this volume sensitivity gives a count of 680-1160 SNe Ia detectable by iPTF, which is consistent with the archival data.more » With a view toward wider applicability of this technique we do a preliminary computation for long-duration type IIp supernovae (SNe IIp) and find ⟨VTIIa = (7.80 ± 0.76) × 10-4 Gpc3 yr. This classifier can be used for computationally fast spacetime volume sensitivity calculation of any generic transient type using their light-curve properties. Hence, it can be used as a tool to facilitate calculation of transient rates in a range of time-domain surveys, given suitable training sets.« less

Authors:
ORCiD logo [1]; ORCiD logo [2];  [1];  [3]; ORCiD logo [1]; ORCiD logo [3]
  1. Univ. of Wisconsin, Milwaukee, WI (United States). Dept. of Physics
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States). Dept. of Astronomy
  3. California Inst. of Technology (CalTech), Pasadena, CA (United States). Cahill Centre for Astrophysics
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1567170
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
The Astrophysical Journal (Online)
Additional Journal Information:
Journal Name: The Astrophysical Journal (Online); Journal Volume: 881; Journal Issue: 2; Journal ID: ISSN 1538-4357
Publisher:
Institute of Physics (IOP)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Chatterjee, Deep, Nugent, Peter E., Brady, Patrick R., Cannella, Chris, Kaplan, David L., and Kasliwal, Mansi M. Toward Rate Estimation for Transient Surveys. I. Assessing Transient Detectability and Volume Sensitivity for iPTF. United States: N. p., 2019. Web. doi:10.3847/1538-4357/ab2b9c.
Chatterjee, Deep, Nugent, Peter E., Brady, Patrick R., Cannella, Chris, Kaplan, David L., & Kasliwal, Mansi M. Toward Rate Estimation for Transient Surveys. I. Assessing Transient Detectability and Volume Sensitivity for iPTF. United States. https://doi.org/10.3847/1538-4357/ab2b9c
Chatterjee, Deep, Nugent, Peter E., Brady, Patrick R., Cannella, Chris, Kaplan, David L., and Kasliwal, Mansi M. Wed . "Toward Rate Estimation for Transient Surveys. I. Assessing Transient Detectability and Volume Sensitivity for iPTF". United States. https://doi.org/10.3847/1538-4357/ab2b9c. https://www.osti.gov/servlets/purl/1567170.
@article{osti_1567170,
title = {Toward Rate Estimation for Transient Surveys. I. Assessing Transient Detectability and Volume Sensitivity for iPTF},
author = {Chatterjee, Deep and Nugent, Peter E. and Brady, Patrick R. and Cannella, Chris and Kaplan, David L. and Kasliwal, Mansi M.},
abstractNote = {The past couple of decades have seen an emergence of transient detection facilities in various avenues of time-domain astronomy that have provided us with a rich data set of transients. The rates of these transients have implications in star formation, progenitor models, evolution channels, and cosmology measurements. The crucial component of any rate calculation is the detectability and spacetime volume sensitivity of a survey to a particular transient type as a function of many intrinsic and extrinsic parameters. Fully sampling that multidimensional parameter space is challenging. Instead, we present a scheme to assess the detectability of transients using supervised machine learning. The data product is a classifier that determines the detection likelihood of sources resulting from an image subtraction pipeline associated with time-domain survey telescopes, taking into consideration the intrinsic properties of the transients and the observing conditions. We apply our method to assess the spacetime volume sensitivity of type Ia supernovae (SNe Ia) in the intermediate Palomar Transient Factory (iPTF) and obtain the result, ⟨VT⟩Ia = (2.93 ± 0.21) × 10-2 Gpc3 yr. With rate estimates in the literature, this volume sensitivity gives a count of 680-1160 SNe Ia detectable by iPTF, which is consistent with the archival data. With a view toward wider applicability of this technique we do a preliminary computation for long-duration type IIp supernovae (SNe IIp) and find ⟨VT⟩IIa = (7.80 ± 0.76) × 10-4 Gpc3 yr. This classifier can be used for computationally fast spacetime volume sensitivity calculation of any generic transient type using their light-curve properties. Hence, it can be used as a tool to facilitate calculation of transient rates in a range of time-domain surveys, given suitable training sets.},
doi = {10.3847/1538-4357/ab2b9c},
journal = {The Astrophysical Journal (Online)},
number = 2,
volume = 881,
place = {United States},
year = {Wed Aug 21 00:00:00 EDT 2019},
month = {Wed Aug 21 00:00:00 EDT 2019}
}

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Works referenced in this record:

Correcting for the Effects of Interstellar Extinction
journal, January 1999

  • Fitzpatrick, Edward L.
  • Publications of the Astronomical Society of the Pacific, Vol. 111, Issue 755
  • DOI: 10.1086/316293

The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package
journal, August 2018

  • Price-Whelan, A. M.; Sipőcz, B. M.; Günther, H. M.
  • The Astronomical Journal, Vol. 156, Issue 3
  • DOI: 10.3847/1538-3881/aabc4f

The relative specific Type Ia supernovae rate from three years of ASAS-SN
journal, January 2019

  • Brown, J. S.; Stanek, K. Z.; Holoien, T. W-S
  • Monthly Notices of the Royal Astronomical Society, Vol. 484, Issue 3
  • DOI: 10.1093/mnras/stz258

SExtractor: Software for source extraction
journal, June 1996

  • Bertin, E.; Arnouts, S.
  • Astronomy and Astrophysics Supplement Series, Vol. 117, Issue 2
  • DOI: 10.1051/aas:1996164

The Palomar transient factory
conference, February 2015

  • Nugent, Peter; Cao, Yi; Kasliwal, Mansi
  • IS&T/SPIE Electronic Imaging, SPIE Proceedings
  • DOI: 10.1117/12.2085383

The Sloan Digital sky Survey-Ii Supernova Survey: Search Algorithm and Follow-Up Observations
journal, December 2007


Real-time Recovery Efficiencies and Performance of the Palomar Transient Factory’s Transient Discovery Pipeline
journal, May 2017

  • Frohmaier, C.; Sullivan, M.; Nugent, P. E.
  • The Astrophysical Journal Supplement Series, Vol. 230, Issue 1
  • DOI: 10.3847/1538-4365/aa6d70

First Results from the Catalina Real-Time Transient Survey
journal, April 2009


The Volumetric Rate of Calcium-rich Transients in the Local Universe
journal, May 2018

  • Frohmaier, Chris; Sullivan, Mark; Maguire, Kate
  • The Astrophysical Journal, Vol. 858, Issue 1
  • DOI: 10.3847/1538-4357/aabc0b

Using machine learning for discovery in synoptic survey imaging data
journal, August 2013

  • Brink, Henrik; Richards, Joseph W.; Poznanski, Dovi
  • Monthly Notices of the Royal Astronomical Society, Vol. 435, Issue 2
  • DOI: 10.1093/mnras/stt1306

Intermediate Palomar Transient Factory: Realtime Image Subtraction Pipeline
journal, September 2016

  • Cao, Yi; Nugent, Peter E.; Kasliwal, Mansi M.
  • Publications of the Astronomical Society of the Pacific, Vol. 128, Issue 969
  • DOI: 10.1088/1538-3873/128/969/114502

LSST: From Science Drivers to Reference Design and Anticipated Data Products
journal, March 2019

  • Ivezić, Željko; Kahn, Steven M.; Tyson, J. Anthony
  • The Astrophysical Journal, Vol. 873, Issue 2
  • DOI: 10.3847/1538-4357/ab042c

Type-Ia Supernova Rates and the Progenitor Problem: A Review
journal, January 2012

  • Maoz, D.; Mannucci, F.
  • Publications of the Astronomical Society of Australia, Vol. 29, Issue 4
  • DOI: 10.1071/AS11052

Extinction and Radial Distribution of Supernova Properties in Their Parent Galaxies
journal, July 1998

  • Hatano, Kazuhito; Branch, David; Deaton, Jennifer
  • The Astrophysical Journal, Vol. 502, Issue 1
  • DOI: 10.1086/305903

The Palomar Transient Factory: System Overview, Performance, and First Results
journal, December 2009

  • Law, Nicholas M.; Kulkarni, Shrinivas R.; Dekany, Richard G.
  • Publications of the Astronomical Society of the Pacific, Vol. 121, Issue 886
  • DOI: 10.1086/648598

Estimating the Contribution of Dynamical Ejecta in the Kilonova Associated with GW170817
journal, December 2017


SALT2: using distant supernovae to improve the use of type Ia supernovae as distance indicators
journal, February 2007


iPTF Archival Search for Fast Optical Transients
journal, February 2018

  • Ho, Anna Y. Q.; Kulkarni, S. R.; Nugent, Peter E.
  • The Astrophysical Journal, Vol. 854, Issue 1
  • DOI: 10.3847/2041-8213/aaaa62

Inferring the spatial and energy distribution of gamma-ray burst sources. 1: Methodology
journal, January 1995

  • Loredo, Thomas J.; Wasserman, Ira M.
  • The Astrophysical Journal Supplement Series, Vol. 96
  • DOI: 10.1086/192119

High‐Redshift Supernovae in the Hubble Deep Field
journal, August 1999

  • Gilliland, Ronald L.; Nugent, Peter E.; Phillips, M. M.
  • The Astrophysical Journal, Vol. 521, Issue 1
  • DOI: 10.1086/307549

The Pan-STARRS wide-field optical/NIR imaging survey
conference, July 2010

  • Kaiser, Nick; Burgett, William; Chambers, Ken
  • SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings
  • DOI: 10.1117/12.859188

Matplotlib: A 2D Graphics Environment
journal, January 2007


The VLT Survey Telescope ATLAS
journal, June 2015

  • Shanks, T.; Metcalfe, N.; Chehade, B.
  • Monthly Notices of the Royal Astronomical Society, Vol. 451, Issue 4
  • DOI: 10.1093/mnras/stv1130

A Measurement of the Rate of Type Ia Supernovae at Redshift z ≈ 0.1 from the First Season of the SDSS‐II Supernova Survey
journal, July 2008

  • Dilday, Benjamin; Kessler, Richard; Frieman, Joshua A.
  • The Astrophysical Journal, Vol. 682, Issue 1
  • DOI: 10.1086/587733

NINE-YEAR WILKINSON MICROWAVE ANISOTROPY PROBE ( WMAP ) OBSERVATIONS: COSMOLOGICAL PARAMETER RESULTS
journal, September 2013

  • Hinshaw, G.; Larson, D.; Komatsu, E.
  • The Astrophysical Journal Supplement Series, Vol. 208, Issue 2
  • DOI: 10.1088/0067-0049/208/2/19

Supernovae in the Subaru Deep Field: an initial sample and Type Ia rate out to redshift 1.6: Supernovae in the SDF
journal, November 2007


Multi-messenger Observations of a Binary Neutron Star Merger
journal, October 2017


Gravitational Waves and Gamma-Rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A
journal, October 2017


Counting and confusion: Bayesian rate estimation with multiple populations
journal, January 2015


The NumPy Array: A Structure for Efficient Numerical Computation
journal, March 2011

  • van der Walt, Stéfan; Colbert, S. Chris; Varoquaux, Gaël
  • Computing in Science & Engineering, Vol. 13, Issue 2
  • DOI: 10.1109/MCSE.2011.37

Improved cosmological constraints from a joint analysis of the SDSS-II and SNLS supernova samples
journal, August 2014


Absolute-Magnitude Distributions of Supernovae
journal, April 2014


The ASAS-SN bright supernova catalogue – IV. 2017
journal, January 2019

  • Holoien, T. W-S; Brown, J. S.; Vallely, P. J.
  • Monthly Notices of the Royal Astronomical Society, Vol. 484, Issue 2
  • DOI: 10.1093/mnras/stz073

CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy
journal, February 2021


Gravitational Waves and Gamma-Rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A
text, January 2017

  • Abbott, B. P.; Abbott, R.; Abbott, T. D.
  • Bristol : Institute of Physics Publishing
  • DOI: 10.15488/2271

Multi-messenger Observations of a Binary Neutron Star Merger
text, January 2017


LSST: from Science Drivers to Reference Design and Anticipated Data Products
text, January 2008


First Results from the Catalina Real-time Transient Survey
text, January 2008


The Palomar Transient Factory: System Overview, Performance and First Results
text, January 2009


Using Machine Learning for Discovery in Synoptic Survey Imaging
text, January 2012


Counting And Confusion: Bayesian Rate Estimation With Multiple Populations
text, January 2013


Absolute-Magnitude Distributions of Supernovae
text, January 2014


Estimating the Contribution of Dynamical Ejecta in the Kilonova Associated with GW170817
text, January 2017


iPTF Archival Search for Fast Optical Transients
text, January 2017


The volumetric rate of calcium-rich transients in the local universe
text, January 2018


Correcting for the Effects of Interstellar Extinction
text, January 1998