The data behind the ApJ article "LensWatch: II. Improved Photometry and Time Delay Constraints on the Strongly-Lensed Type Ia Supernova 2022qmx ("SN Zwicky") with HST Template Observations"
Authors/Creators
-
Larison, Conor
(Contact person)1
-
Pierel, Justin
(Project member)2
-
Newman, Max
(Project member)3
-
Jha, Saurabh
(Project member)3
-
Gilman, Daniel
(Project member)4, 5
-
Hayes, Erin
(Project member)6
-
Agrawal, Aadya
(Project member)7
-
Arendse, Nikki
(Project member)8
-
Birrer, Simon
(Project member)9
-
Bronikowski, Mateusz
(Project member)10
-
Chakrabarti, Sukanya
(Project member)11
-
Della Costa III, John
(Project member)12
-
Coulter, David
(Project member)2
-
Courbin, Frederic
(Project member)13, 14
-
Dalrymple, Kyle
(Project member)15
-
Dhawan, Suhail
(Project member)6
-
Diego, Jose
(Project member)16
-
Gall, Christa
(Project member)17
-
Goobar, Ariel
(Project member)8
-
Hjorth, Jens
(Project member)17
-
Huang, Xiaosheng
(Project member)18
-
Johansson, Joel
(Project member)8
-
Mao, Shude
(Project member)19
-
Marques-Chaves, Rui
(Project member)20
-
Mazzali, Paolo
(Project member)21
-
More, Anupreeta
(Project member)22
-
Moustakas, Leonidas
(Project member)23
-
Perez-Fournon, Ismael
(Project member)24, 25
-
Petrushevska, Tanja
(Project member)10
-
Poidevin, Frédérick
(Project member)24
-
Rest, Armin
(Project member)15, 2
-
Shajib, Anowar Jaman
(Project member)4
-
Shirley, Raphael
(Project member)26
-
Strolger, Louis-Gregory
(Project member)2
-
Suyu, Sherry
(Project member)27
-
Treu, Tommaso
(Project member)28
-
Zenati, Yossef
(Project member)15
- 1. Rutgers University New Brunswick
-
2.
Space Telescope Science Institute
-
3.
Rutgers, The State University of New Jersey
- 4. University of Chicago
- 5. Univeristy of Toronto
-
6.
University of Cambridge
-
7.
University of Illinois Urbana-Champaign
-
8.
Stockholm University
-
9.
Stony Brook University
-
10.
University of Nova Gorica
-
11.
University of Alabama in Huntsville
-
12.
NSF's NOIRLab
-
13.
Institució Catalana de Recerca i Estudis Avançats
-
14.
Universitat de Barcelona
-
15.
Johns Hopkins University
-
16.
Consejo Superior de Investigaciones Científicas
-
17.
University of Copenhagen
-
18.
University of San Francisco
-
19.
Tsinghua University
-
20.
University of Geneva
-
21.
Liverpool John Moores University
-
22.
The University of Tokyo
-
23.
Jet Propulsion Laboratory
-
24.
Universidad de La Laguna
-
25.
Instituto de Astrofísica de Canarias
-
26.
Max Planck Institute for Extraterrestrial Physics
-
27.
Technical University of Munich
- 28. UCLA Division of Physical Sciences
Description
Data from "LensWatch: II. Improved Photometry and Time Delay Constraints on the Strongly-Lensed Type Ia
Supernova 2022qmx (“SN Zwicky”) with HST Template Observations", NASA ADS
To unpack the file, run tar -xvf lenswatch_ii.tar on the command line. The data for each figure is separated into an individual, labeled directory. For reference, the figures represent the following analyses and use the following data:
Figure 1: The template observations as well as the template subtracted data and PSF photometry results. The data include the individual HST frames that went into the figure.
Figure 2: The linear fit showing how bright the SN has to be for the contaminating flux from the host + lens galaxies to not greatly affect the photometric measurements. The data behind this figure include the drizzled HST template images and the new and old SN photometry.
Figure 3: The corner plot showing our time delay results. The data behind this are the samples from the SNTD package.
Figure 4: The magnification posteriors of the four images of SN Zwicky. The data are the posteriors from our SALT2 fits after applying a fiducial SN standardization.
Figure 5: SALT2 fits from optical photometry shown in the F160W band, with our F160W photometry overplotted. The data include the F160W photometry.
Figure 6: The PDFs of the expected F160W flux with the measured F160W fluxes shown. The data are the DOLPHOT output file, which contains the F160W fluxes, as well as the raw files used to measure the total F160W flux of all four images combined.
Figure 7: Millilensing analysis results from pyHalo with the LS1 lensing parameters used. The data are the posteriors from the individual pyHalo runs, with varying parameters.
Files
Files
(69.7 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:91f67d15b3319939789ddbe2c05d3b64
|
69.7 MB | Download |
Additional details
Funding
- U.S. National Science Foundation
- Graduate Research Fellowship DGE-2233066
- United States Department of Energy
- DE-SC0010008
- Space Telescope Science Institute
- Einstein Fellowship HF2-51541.001
- Knut and Alice Wallenberg Foundation
- Understanding the Dynamic Universe Dnr KAW 2018.0067
- Villum Fonden
- Young Investigator Grant 5501
- Gates Cambridge Trust
- Scholarship Grant OPP1144
- Villum Fonden
- 6599
- Villum Fonden
- 54489
- University of San Francisco
- Development Fund
- Brinson Foundation
- Prize Fellowship Grant
- National Natural Science Foundation of China
- 11821303863
- Jet Propulsion Laboratory
- Ministerio de Ciencia, Innovación y Universidades
- ID2022-137779OB-869 C44
- Ministerio de Ciencia, Innovación y Universidades
- PID2022-141915NB-C21
- Space Telescope Science Institute
- Hubble Fellowship ST-HF2-51492
- Max Planck Society
- Max Planck Fellowship
- European Research Council
- Horizon 2020 research and innovation programme 71776
- Deutsche Forschungsgemeinschaft
- Excellence Cluster ORIGINS EXC-886 2094 – 390783311
- Space Telescope Science Institute
- LensWatch Observing Program HST-GO-16264