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Fremling, Ulf Christoffer (Christoffer) <fremling@caltech.edu>; Adam Miller <amiller@northwestern.edu>; Alison Dugas <adugas@hawaii.edu>; Jesper Sollerman <jesper@astro.su.se>; Daniel Perley <D.A.Perley@ljmu.ac.uk>; Sharma, Yashvi <yssharma@astro.caltech.edu>; Taggart, Kirsty <K.L.Taggart@2016.ljmu.ac.uk>; Suhail Dhawan <suhail.dhawan@fysik.su.se>; Rahul Biswas <rbiswas4@gmail.com>; Melissa Graham <melissalynngraham@gmail.com>; Jakob Nordin <jnordin@physik.hu-berlin.de>; Ariel Goobar <ariel@fysik.su.se>; Neill, James D. (Don) <neill@srl.caltech.edu>; Rachel Bruch <rachel.bruch@weizmann.ac.il>; Rauch, Ludwig <ludwig.rauch@desy.de>; Steve Schulze <steve.schulze@weizmann.ac.il>; Ido Irani <ido.irani@weizmann.ac.il>; Kulkarni, Shrinivas R. (Shri) <srk@astro.caltech.edu>; Jannis Necker <necker@physik.hu-berlin.de>; Kishore Patra <kcpatra@berkeley.edu>; Samantha Goldwasser <samantha.goldwasser@weizmann.ac.il>; Shaunak Modak <shaunakmodak@berkeley.edu>; Andrew Hoffman <andrewmh@berkeley.edu>; Erez Zimmerman <erez.zimmerman@weizmann.ac.il>; yafshar0673@sdsu.edu <yafshar0673@sdsu.edu>; Hall, Xander J. <xhall@caltech.edu>Redshift Completeness Factor - Papers in Progress | ||||||||
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> > | SN Siblings | |||||||
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> > | Melissa L. Graham | |||||||
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> > | Brief Description: Individual analyses of the few SN siblings in the RCF data set thus far and a brief sample (rates) analysis
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Cosmology with Type II-P distances: Expanding photosphere methodLeads: Jakob Nordin, Peter Nugent, Sarafina Nance, Suhail Dhawan, Ariel Goobar |
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> > | Cosmology with Type II-P distances: Expanding photosphere methodLeads: Jakob Nordin, Peter Nugent, Sarafina Nance, Suhail Dhawan, Ariel Goobar Brief Description: Type II-P supernovae using the expanding photosphere method give absolute distances, independent of the Cepheid distance ladder, hence, are a novel probe to resolve the cause of the Hubble tension. This project has two related motivations. Firstly, for SN II-Ps that exploded in galaxies with an SN Ia, the II-P distance can be used to calibrate the absolute luminosity of (nearby, z < 0.03) Type Ia supernovae and hence, measure H0. Secondly, SNII-P's can themselves be used to make a Hubble diagram extending the redshift range to z ~ 0.07. Since the largest degeneracy in measuring the distance is a precise explosion date, the ZTF sample with early coverage would be ideal for this study. Observations: P48 g,r,i lightcurves, SEDm spectra for nearby Type II-Ps, Gemini/8-m class for SNe 19.5 mag and fainter Status: in prep. | |||||||
ZTF RCF Sample: supernovae as tracers of the Large Scale StructureLeads: Eleni Tsaprazi (PhD student), Ariel Goobar, Jens Jasche, Hiranya Peiris (OKC) |
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< < | RCF Filter (After 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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< < | prevCandidates = observation["prv_candidates"]; m_now = observation["candidate"]["magpsf"]; m_app = observation["candidate"]["magap"]; t_now = observation["candidate"]["jd"]; fid_now = observation["candidate"]["fid"]; sgscore = observation["candidate"]["sgscore1"]; sgscore2 = observation["candidate"]["sgscore2"]; sgscore3 = observation["candidate"]["sgscore3"]; srmag = observation["candidate"]["srmag1"]; srmag2 = observation["candidate"]["srmag2"]; srmag3 = observation["candidate"]["srmag3"]; sgmag = observation["candidate"]["sgmag1"]; simag = observation["candidate"]["simag1"]; rbscore = observation["candidate"]["rb"]; magnr = observation["candidate"]["magnr"]; distnr = observation["candidate"]["distnr"]; distpsnr1=observation["candidate"]["distpsnr1"]; distpsnr2=observation["candidate"]["distpsnr2"]; distpsnr3=observation["candidate"]["distpsnr3"]; scorr = observation["candidate"]["scorr"]; fwhm = observation["candidate"]["fwhm"]; elong = observation["candidate"]["elong"]; nbad = observation["candidate"]["nbad"]; chipsf = observation["candidate"]["chipsf"]; gal_lat = observation["candidate"]["gal_lat"]; | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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< < | bright = m_now < 19.0; if (gal_lat and gal_lat < 10 and gal_lat > -10) { latitude = False; } if (observation["candidate"]["isdiffpos"] and (observation["candidate"]["isdiffpos"] = "t" or observation["candidate"]["isdiffpos"] = "1")){ positiveSubtraction = True; } if (rbscore and rbscore > 0.2) { real = True; } if (sgscore and distpsnr1 and sgscore > 0.76 and distpsnr1<2) { noPointUnderneath = False; } if ((distpsnr1 and srmag and distpsnr1 < 20 and srmag < 16.0 and srmag>0 and sgscore > 0.49) or (distpsnr2 and srmag2 and distpsnr2 < 20 and srmag2 < 16.0 and srmag2>0 and sgscore2 > 0.49) or (distpsnr3 and srmag3 and distpsnr3 < 20 and srmag3 < 16.0 and srmag3>0 and sgscore3 > 0.49) ) { brightStar = True; } for candidate in prevCandidates{ if (candidate["jd"] and candidate["magpsf"] and candidate["fid"] and candidate["isdiffpos"] and (candidate["isdiffpos"] = "t" or candidate["isdiffpos"] = "1")) { dt = t_now - candidate["jd"]; if (dt > 0.02 and candidate["magpsf"] < 99) { mover = False; } if (dt = 0.0 and candidate["magpsf"] < 99){ if (candidate["jd"] > t_slope and candidate["fid"] == fid_now) { t_slope = candidate["jd"]; slope = (m_now - candidate["magpsf"]) / dt; } } } } annotate "magnitude" m_now; annotate "sgscore" sgscore; annotate "slope" slope; annotate "rbscore" rbscore; annotate "mover" mover; annotate "real" real; annotate "positiveSubtraction" positiveSubtraction; annotate "brightStar" brightStar; annotate "magnr" magnr; annotate "distnr" distnr; annotate "scorr" scorr; annotate "gal_lat" gal_lat; filteron latitude and bright and noPointUnderneath and (not mover) and real and positiveSubtraction and (not brightStar); RCF Filter (Before 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; prevCandidates = observation["prv_candidates"]; m_now = observation["candidate"]["magpsf"]; m_app = observation["candidate"]["magap"]; t_now = observation["candidate"]["jd"]; fid_now = observation["candidate"]["fid"]; sgscore = observation["candidate"]["sgscore1"]; sgscore2 = observation["candidate"]["sgscore2"]; sgscore3 = observation["candidate"]["sgscore3"]; srmag = observation["candidate"]["srmag1"]; srmag2 = observation["candidate"]["srmag2"]; srmag3 = observation["candidate"]["srmag3"]; sgmag = observation["candidate"]["sgmag1"]; simag = observation["candidate"]["simag1"]; rbscore = observation["candidate"]["rb"]; magnr = observation["candidate"]["magnr"]; distnr = observation["candidate"]["distnr"]; distpsnr1=observation["candidate"]["distpsnr1"]; distpsnr2=observation["candidate"]["distpsnr2"]; distpsnr3=observation["candidate"]["distpsnr3"]; scorr = observation["candidate"]["scorr"]; fwhm = observation["candidate"]["fwhm"]; elong = observation["candidate"]["elong"]; nbad = observation["candidate"]["nbad"]; chipsf = observation["candidate"]["chipsf"]; gal_lat = observation["candidate"]["gal_lat"]; bright = m_now < 19.0; if (gal_lat and gal_lat < 7 and gal_lat > -7) { latitude = False; } if (observation["candidate"]["isdiffpos"] and (observation["candidate"]["isdiffpos"] = "t" or observation["candidate"]["isdiffpos"] = "1")){ positiveSubtraction = True; } if (rbscore and rbscore > 0.2) { real = True; } if (sgscore and distpsnr1 and sgscore > 0.76 and distpsnr1<2) { noPointUnderneath = False; } if ((distpsnr1 and srmag and distpsnr1 < 20 and srmag < 16.0 and srmag>0 and sgscore > 0.49) or (distpsnr2 and srmag2 and distpsnr2 < 20 and srmag2 < 16.0 and srmag2>0 and sgscore2 > 0.49) or (distpsnr3 and srmag3 and distpsnr3 < 20 and srmag3 < 16.0 and srmag3>0 and sgscore3 > 0.49) ) { brightStar = True; } for candidate in prevCandidates{ if (candidate["jd"] and candidate["magpsf"] and candidate["fid"] and candidate["isdiffpos"] and (candidate["isdiffpos"] = "t" or candidate["isdiffpos"] = "1")) { dt = t_now - candidate["jd"]; if (dt > 0.02 and candidate["magpsf"] < 99) { mover = False; } if (dt = 0.0 and candidate["magpsf"] < 99){ if (candidate["jd"] > t_slope and candidate["fid"] == fid_now) { t_slope = candidate["jd"]; slope = (m_now - candidate["magpsf"]) / dt; } } } } annotate "magnitude" m_now; annotate "sgscore" sgscore; annotate "slope" slope; annotate "rbscore" rbscore; annotate "mover" mover; annotate "real" real; annotate "positiveSubtraction" positiveSubtraction; annotate "brightStar" brightStar; annotate "magnr" magnr; annotate "distnr" distnr; annotate "scorr" scorr; annotate "gal_lat" gal_lat; filteron latitude and bright and noPointUnderneath and (not mover) and real and positiveSubtraction and (not brightStar); | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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RCF webpage (for host redshift determination) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Leads: Perley & Fremling | ||||||||
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< < | Status: Mostly written, should be submitted end of July 2020 | |||||||
> > | Status: Mostly written, should be submitted end of July 2020
Brief Description : Statistics on most strangely behaving SNe Status : Sharma & Fremling, in prep | |||||||
General vague ideas from Dan: |
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Status: Mostly written, should be submitted end of July 2020 | ||||||||
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> > | General vague ideas from Dan:
Various timescale analysis: long-duration Ic's and link to SLSNe, distinction between IIP/IIL, statistics on double-peaked light curves, rates of very short and very long transients, photometric classification
Large-scale host galaxy papers: various subtypes (Ibn vs IIb vs Ib vs Ic vs Ic-BL, etc.), correlations with duration and luminosity, morphology studies, IFU studies, spectroscopic studies
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Brief Description: Spectroscopic Classification and the Redshift Completeness of Local Galaxy Catalogs Status: (Fremling et al. 2020, ApJ accepted) |
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Brief Description: ML Classification of SEDM spectra Status: Fremling +, some testiing of the models still needed before deployment | ||||||||
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> > | BTS Sample Selection and Public Portal Brief Description: Describes sample selection in practice and the use of coverage criteria to establish a statistical high-completeness sample. Shows a few science highlights: initial duration-luminosity plot, aggregate rates, host color/luminosity statistics. Leads: Perley & Fremling | |||||||
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> > | Status: Mostly written, should be submitted end of July 2020 | |||||||
Brief Description: Spectroscopic Classification and the Redshift Completeness of Local Galaxy Catalogs |
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< < | S. Kulkarni, C. Fremling (CIT lead) A. Dugas A. Dahiwale N. Blagorodnova (CIT) A. Miller (NU) D. Perley (LJMU) P. Nugent (LBL) D. Goldstein (LBNL) M. Graham (UW) Sollerman (SU) SN Ia cosmology A. Goobar (OKC) S. Dhawan (OKC) R. Biswas (OKC) J. Nordin (Berlin) Students: Christopher Cannella (CIT) Yashvi Sharma (IIT Bombay) Kirsty Taggart (LJMU) | |||||||
> > | S. Kulkarni, C. Fremling (CIT lead) A. Dugas A. Dahiwale N. Blagorodnova (CIT) A. Miller (NU) D. Perley (LJMU) P. Nugent (LBL) D. Goldstein (LBNL) M. Graham (UW) J. Sollerman (SU/OKC) SN Ia cosmology A. Goobar (OKC) S. Dhawan (OKC) R. Biswas (OKC) J. Nordin (Berlin) Students: Christopher Cannella (CIT) Yashvi Sharma (IIT Bombay) Kirsty Taggart (LJMU) | |||||||
Weizmann: Irani, Goldwasser, Gal-Yam |
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< < | S. Kulkarni, C. Fremling (CIT lead) A. Dugas A. Dahiwale N. Blagorodnova (CIT) A. Miller (NU) D. Perley (LJMU) P. Nugent (LBL) D. Goldstein (LBNL) M. Graham (UW) Sollerman (SU) SN Ia cosmology A. Goobar (OKC) S. Dhawan (OKC) R. Biswas (OKC) U. Feindt (OKC) J. Nordin (Berlin) Students: Christopher Cannella (CIT) Yashvi Sharma (IIT Bombay) Kirsty Taggart (LJMU) | |||||||
> > | S. Kulkarni, C. Fremling (CIT lead) A. Dugas A. Dahiwale N. Blagorodnova (CIT) A. Miller (NU) D. Perley (LJMU) P. Nugent (LBL) D. Goldstein (LBNL) M. Graham (UW) Sollerman (SU) SN Ia cosmology A. Goobar (OKC) S. Dhawan (OKC) R. Biswas (OKC) J. Nordin (Berlin) Students: Christopher Cannella (CIT) Yashvi Sharma (IIT Bombay) Kirsty Taggart (LJMU) | |||||||
Weizmann: Irani, Goldwasser, Gal-Yam | ||||||||
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Brief Description: A one line description of your paper Status: in preparation/submitted etc. | ||||||||
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> > | ZTF RCF Sample: supernovae as tracers of the Large Scale StructureLeads: Eleni Tsaprazi (PhD student), Ariel Goobar, Jens Jasche, Hiranya Peiris (OKC) Objects: all SNe in RCF sample Observations: ZTF SN coordinates and classifications Brief Description: We explore the underlying LSS properties at the locations of SN hosts, and explore possible correlations and the ability to use SNe as tracers of LSS properties at higher redshifts Status: in prep. | |||||||
Characterization of the SNIa Population using ZTF RCF | ||||||||
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Observations: Selected sample (coordinates, redshifts) + Forced photometry | ||||||||
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< < | Status: in prep. | |||||||
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> > | Characterization of the SNIa Population using ZTF RCFLeads: Rahul Biswas, Ariel Goobar, Hiranya Peiris, Daniel Mortlock Brief Description: We propose a method to study rates of low redshift SNIa and the distribution of their parameters simultaneously, assuming a fixed cosmology. The method explores the use of simulations (via simsurvey) to incorporate the impact of selection efficiency in place of control times. Observations: Selected sample (coordinates, redshifts) + Forced photometry Status: in prep. | |||||||
Brief Description: Spectroscopic Classification of the 2019 RCF sample; SN subtype statistics |
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< < | We will perform a flux limited transient survey based on the MSIP all sky survey. The standard in this field is set by ASAS-SN which is by our estimate complete to less than 17 mag. The experimental goal of the ZTF RCF project is to classify transients (which are mostly SNe) to a peak magnitude, m_p of about 18 mag. In practice, this means classifying transients which are a few tenths mag fainter (~18.5). Flux limited surveys serve many purposes, and are essential for e.g., computing rates. We have a specific novel goal: use SN of type Ia to evaluate the red-shift completeness factor (RCF) of catalog(s) of nearby (<200 Mpc). [ http://adsabs.harvard.edu/abs/2017arXiv171004223K![]() ![]() | |||||||
> > | We are performing a flux limited transient survey based on the MSIP all sky survey. The standard in this field is set by ASAS-SN which is by our estimate complete to less than 17 mag. The experimental goal of the ZTF RCF project is to classify transients (which are mostly SNe) to a peak magnitude, m_p of about 18.5 mag. In practice, this means classifying transients which are a few tenths mag fainter (~18.75). Flux limited surveys serve many purposes, and are essential for e.g., computing rates. We have a specific novel goal: use SN of type Ia to evaluate the red-shift completeness factor (RCF) of catalog(s) of nearby (<200 Mpc). [ http://adsabs.harvard.edu/abs/2017arXiv171004223K![]() ![]() | |||||||
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Changed: | ||||||||
< < | S. Kulkarni, C. Fremling (CIT lead) A. Dugas A. Dahiwale N. Blagorodnova (CIT) A. Miller (NU) D. Perley (LJMU) P. Nugent (LBL) D. Goldstein (LBNL) M. Graham (UW) SN Ia cosmology A. Goobar (OKC) S. Dhawan (OKC) R. Biswas (OKC) U. Feindt (OKC) J. Nordin (Berlin) Students: Christopher Cannella (CIT) Yashvi Sharma (IIT Bombay) Kirsty Taggart (LJMU) | |||||||
> > | S. Kulkarni, C. Fremling (CIT lead) A. Dugas A. Dahiwale N. Blagorodnova (CIT) A. Miller (NU) D. Perley (LJMU) P. Nugent (LBL) D. Goldstein (LBNL) M. Graham (UW) Sollerman (SU) SN Ia cosmology A. Goobar (OKC) S. Dhawan (OKC) R. Biswas (OKC) U. Feindt (OKC) J. Nordin (Berlin) Students: Christopher Cannella (CIT) Yashvi Sharma (IIT Bombay) Kirsty Taggart (LJMU) | |||||||
Added: | ||||||||
> > | Weizmann: Irani, Goldwasser, Gal-Yam Berkeley: Modak, Hoffman, Patra Fremling, Ulf Christoffer (Christoffer) <fremling@caltech.edu>; Adam Miller <amiller@northwestern.edu>; Alison Dugas <adugas@hawaii.edu>; Jesper Sollerman <jesper@astro.su.se>; Daniel Perley <D.A.Perley@ljmu.ac.uk>; Sharma, Yashvi <yssharma@astro.caltech.edu>; Taggart, Kirsty <K.L.Taggart@2016.ljmu.ac.uk>; Suhail Dhawan <suhail.dhawan@fysik.su.se>; Rahul Biswas <rbiswas4@gmail.com>; Melissa Graham <melissalynngraham@gmail.com>; Jakob Nordin <jnordin@physik.hu-berlin.de>; Ariel Goobar <ariel@fysik.su.se>; Neill, James D. (Don) <neill@srl.caltech.edu>; Rachel Bruch <rachel.bruch@weizmann.ac.il>; Rauch, Ludwig <ludwig.rauch@desy.de>; Steve Schulze <steve.schulze@weizmann.ac.il>; Ido Irani <ido.irani@weizmann.ac.il>; Kulkarni, Shrinivas R. (Shri) <srk@astro.caltech.edu>; Jannis Necker <necker@physik.hu-berlin.de>; Kishore Patra <kcpatra@berkeley.edu>; Samantha Goldwasser <samantha.goldwasser@weizmann.ac.il>; Shaunak Modak <shaunakmodak@berkeley.edu>; Andrew Hoffman <andrewmh@berkeley.edu>; Erez Zimmerman <erez.zimmerman@weizmann.ac.il>; yafshar0673@sdsu.edu <yafshar0673@sdsu.edu>; Hall, Xander J. <xhall@caltech.edu> | |||||||
Redshift Completeness Factor - Papers in ProgressTitle of your Paper | ||||||||
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> > | Brief Description: Spectroscopic Classification of the 2019 RCF sample; SN subtype statistics Status: Fremling, Dahiwale, Miller, Hall, Perley Sharma, and others. Need results from SNID, Superfit (ppython version), DASH, Ia LC fits. Brief Description: ML Classification of SEDM spectra Status: Fremling +, some testiing of the models still needed before deployment Brief Description: Spectroscopic Classification and the Redshift Completeness of Local Galaxy Catalogs Status: (Fremling et al. 2020, ApJ accepted) | |||||||
Scanning and triggering guidelinesIMPORTANT: MAKE SURE THAT YOU SELECT to Show previously saved candidates for unselected programs when scanning RCF. You should also ensure all candidates can be viewed on one page if you are going to save candidates as you go. |
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< < | RCF Filter (After 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
> > | RCF Filter (After 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
prevCandidates = observation["prv_candidates"]; m_now = observation["candidate"]["magpsf"]; m_app = observation["candidate"]["magap"]; t_now = observation["candidate"]["jd"]; fid_now = observation["candidate"]["fid"]; sgscore = observation["candidate"]["sgscore1"]; sgscore2 = observation["candidate"]["sgscore2"]; sgscore3 = observation["candidate"]["sgscore3"]; srmag = observation["candidate"]["srmag1"]; srmag2 = observation["candidate"]["srmag2"]; srmag3 = observation["candidate"]["srmag3"]; sgmag = observation["candidate"]["sgmag1"]; simag = observation["candidate"]["simag1"]; rbscore = observation["candidate"]["rb"]; magnr = observation["candidate"]["magnr"]; distnr = observation["candidate"]["distnr"]; distpsnr1=observation["candidate"]["distpsnr1"]; distpsnr2=observation["candidate"]["distpsnr2"]; distpsnr3=observation["candidate"]["distpsnr3"]; scorr = observation["candidate"]["scorr"]; fwhm = observation["candidate"]["fwhm"]; elong = observation["candidate"]["elong"]; nbad = observation["candidate"]["nbad"]; chipsf = observation["candidate"]["chipsf"]; gal_lat = observation["candidate"]["gal_lat"]; | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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filteron latitude and bright and noPointUnderneath and (not mover) and real and positiveSubtraction and (not brightStar); | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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< < | RCF Filter (Before 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
> > | RCF Filter (Before 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
prevCandidates = observation["prv_candidates"]; m_now = observation["candidate"]["magpsf"]; m_app = observation["candidate"]["magap"]; t_now = observation["candidate"]["jd"]; fid_now = observation["candidate"]["fid"]; sgscore = observation["candidate"]["sgscore1"]; sgscore2 = observation["candidate"]["sgscore2"]; sgscore3 = observation["candidate"]["sgscore3"]; srmag = observation["candidate"]["srmag1"]; srmag2 = observation["candidate"]["srmag2"]; srmag3 = observation["candidate"]["srmag3"]; sgmag = observation["candidate"]["sgmag1"]; simag = observation["candidate"]["simag1"]; rbscore = observation["candidate"]["rb"]; magnr = observation["candidate"]["magnr"]; distnr = observation["candidate"]["distnr"]; distpsnr1=observation["candidate"]["distpsnr1"]; distpsnr2=observation["candidate"]["distpsnr2"]; distpsnr3=observation["candidate"]["distpsnr3"]; scorr = observation["candidate"]["scorr"]; fwhm = observation["candidate"]["fwhm"]; elong = observation["candidate"]["elong"]; nbad = observation["candidate"]["nbad"]; chipsf = observation["candidate"]["chipsf"]; gal_lat = observation["candidate"]["gal_lat"]; |
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Filter History | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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< < |
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RCF Filter (After 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; |
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* CC and SN Ia pie charts (July 2018): ![]() ![]() | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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< < |
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> > |
Filter History
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RCF Filter (After 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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5. Please also scan the AMPEL cross-check page to recover any events which were missed by the GROWTH marshal.
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(6.) If there is an upcoming run at P200 (or other larger telescopes)
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![]() ![]() Date of next telecon | ||||||||
Changed: | ||||||||
< < | Tuesdays 10am PDT | |||||||
> > | Tuesdays 10:30am PDT | |||||||
People | ||||||||
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< < |
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4. Trigger SEDM
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< < |
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Classification and TNS reporting | ||||||||
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2. Check TNS, and ATels for what other groups have done on the objects in our ATel (put this info in notes). | ||||||||
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> > | (As of mid-2019 we are no longer sending ATELs) | |||||||
RCF Scriptshttps://github.com/Yashvi-Sharma/RCF_scripts![]() |
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People | ||||||||
Changed: | ||||||||
< < | S. Kulkarni, C. Fremling (CIT lead) A. Dugas N. Blagorodnova (CIT) A. Miller (NU) D. Perley (LJMU) P. Nugent (LBL) D. Goldstein (LBNL) M. Graham (UW) SN Ia cosmology A. Goobar (OKC) S. Dhawan (OKC) R. Biswas (OKC) U. Feindt (OKC) J. Nordin (Berlin) Students: Christopher Cannella (CIT) Yashvi Sharma (IIT Bombay) Kirsty Taggart (LJMU) | |||||||
> > | S. Kulkarni, C. Fremling (CIT lead) A. Dugas A. Dahiwale N. Blagorodnova (CIT) A. Miller (NU) D. Perley (LJMU) P. Nugent (LBL) D. Goldstein (LBNL) M. Graham (UW) SN Ia cosmology A. Goobar (OKC) S. Dhawan (OKC) R. Biswas (OKC) U. Feindt (OKC) J. Nordin (Berlin) Students: Christopher Cannella (CIT) Yashvi Sharma (IIT Bombay) Kirsty Taggart (LJMU) Redshift Completeness Factor - Papers in ProgressTitle of your PaperLeads: Brief Description: A one line description of your paper Status: in preparation/submitted etc. | |||||||
Scanning and triggering guidelines | ||||||||
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Changed: | ||||||||
< < | RCF Filter (After 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; | |||||||
> > | RCF Filter (After 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; | |||||||
prevCandidates = observation["prv_candidates"]; m_now = observation["candidate"]["magpsf"]; m_app = observation["candidate"]["magap"]; t_now = observation["candidate"]["jd"]; fid_now = observation["candidate"]["fid"]; sgscore = observation["candidate"]["sgscore1"]; sgscore2 = observation["candidate"]["sgscore2"]; sgscore3 = observation["candidate"]["sgscore3"]; srmag = observation["candidate"]["srmag1"]; srmag2 = observation["candidate"]["srmag2"]; srmag3 = observation["candidate"]["srmag3"]; sgmag = observation["candidate"]["sgmag1"]; simag = observation["candidate"]["simag1"]; rbscore = observation["candidate"]["rb"]; magnr = observation["candidate"]["magnr"]; distnr = observation["candidate"]["distnr"]; distpsnr1=observation["candidate"]["distpsnr1"]; distpsnr2=observation["candidate"]["distpsnr2"]; distpsnr3=observation["candidate"]["distpsnr3"]; scorr = observation["candidate"]["scorr"]; fwhm = observation["candidate"]["fwhm"]; elong = observation["candidate"]["elong"]; nbad = observation["candidate"]["nbad"]; chipsf = observation["candidate"]["chipsf"]; gal_lat = observation["candidate"]["gal_lat"]; | ||||||||
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filteron latitude and bright and noPointUnderneath and (not mover) and real and positiveSubtraction and (not brightStar); | ||||||||
Changed: | ||||||||
< < | RCF Filter (Before 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; | |||||||
> > | RCF Filter (Before 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; | |||||||
prevCandidates = observation["prv_candidates"]; m_now = observation["candidate"]["magpsf"]; m_app = observation["candidate"]["magap"]; t_now = observation["candidate"]["jd"]; fid_now = observation["candidate"]["fid"]; sgscore = observation["candidate"]["sgscore1"]; sgscore2 = observation["candidate"]["sgscore2"]; sgscore3 = observation["candidate"]["sgscore3"]; srmag = observation["candidate"]["srmag1"]; srmag2 = observation["candidate"]["srmag2"]; srmag3 = observation["candidate"]["srmag3"]; sgmag = observation["candidate"]["sgmag1"]; simag = observation["candidate"]["simag1"]; rbscore = observation["candidate"]["rb"]; magnr = observation["candidate"]["magnr"]; distnr = observation["candidate"]["distnr"]; distpsnr1=observation["candidate"]["distpsnr1"]; distpsnr2=observation["candidate"]["distpsnr2"]; distpsnr3=observation["candidate"]["distpsnr3"]; scorr = observation["candidate"]["scorr"]; fwhm = observation["candidate"]["fwhm"]; elong = observation["candidate"]["elong"]; nbad = observation["candidate"]["nbad"]; chipsf = observation["candidate"]["chipsf"]; gal_lat = observation["candidate"]["gal_lat"]; |
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< < |
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> > |
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3. After scanning, look through the saved transients for the day on the program report page and their view source pages
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Scanning schedule: Scanning schedule 1. Once daily, scan the RCF program (don't forget to set the date-range appropriately on the scanning page, in UT). | ||||||||
Added: | ||||||||
> > |
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Changed: | ||||||||
< < | 2. Save all targets that passed our filter that are not known AGN, clear stars (CVs), or clear bogus | |||||||
> > | 2. Save all targets that passed our filter that are not asteroids, known AGN, clear stars (variables/CVs), or clear bogus | |||||||
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Added: | ||||||||
> > |
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3. After scanning, look through the saved transients for the day on the program report page and their view source pages
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< < |
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> > |
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> > |
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(5.) If there is an upcoming run at P200 (or other larger telescopes)
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> > |
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(5.) If there is an upcoming run at P200 (or other larger telescopes)
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1. The new candidates for the day will be sent to TNS as ATs at the end of the day (PST) (which is in the morning in europe). This step is automated. | ||||||||
Changed: | ||||||||
< < | 2. Go through the program report, look for new spectra, run them through SNID and classify, reporting their redshifts. | |||||||
> > | 2. Go through the program report, look for new spectra, run them through SNID and classify, reporting their redshifts and if possible phases. | |||||||
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Scanning and triggering guidelines | ||||||||
Changed: | ||||||||
< < | IMPORTANT: MAKE SURE THAT YOU SELECT to Show previously saved candidates for unselected programs when scanning RCF. You should also ensure all candidates can be viewed on one page if you are going to save candidates as you go. | |||||||
> > | IMPORTANT: MAKE SURE THAT YOU SELECT to Show previously saved candidates for unselected programs when scanning RCF. You should also ensure all candidates can be viewed on one page if you are going to save candidates as you go. | |||||||
Scanning schedule: Scanning schedule | ||||||||
Changed: | ||||||||
< < | 1. Once daily, scan the RCF program (don't forget to set the date-range appropriately on the scanning page, in UT) | |||||||
> > | 1. Once daily, scan the RCF program (don't forget to set the date-range appropriately on the scanning page, in UT).
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2. Save all targets that passed our filter that are not known AGN, clear stars (CVs), or clear bogus
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Changed: | ||||||||
< < |
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> > |
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Line: 38 to 39 | ||||||||
1. The new candidates for the day will be sent to TNS as ATs at the end of the day (PST) (which is in the morning in europe). This step is automated. | ||||||||
Changed: | ||||||||
< < | 2. Go through the program report, look for new spectra, run them through SNID and classify. | |||||||
> > | 2. Go through the program report, look for new spectra, run them through SNID and classify, reporting their redshifts. | |||||||
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Line: 1 to 1 | ||||||||
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![]() ![]() Date of next telecon | ||||||||
Changed: | ||||||||
< < | Tuesdays 10am PDT
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> > | Tuesdays 10am PDT | |||||||
People | ||||||||
Changed: | ||||||||
< < | S. Kulkarni, C. Fremling (CIT lead) A. Dugas N. Blagorodnova (CIT) A. Miller (NU) D. Perley (LJMU) P. Nugent (LBL) D. Goldstein (LBNL) M. Graham (UW) SN Ia cosmology A. Goobar (OKC) S. Dhawan (OKC) R. Biswas (OKC) U. Feindt (OKC) J. Nordin (Berlin) Students: Christopher Cannella (CIT) Yashvi Sharma (IIT Bombay) Kirsty Taggart (LJMU) | |||||||
> > | S. Kulkarni, C. Fremling (CIT lead) A. Dugas N. Blagorodnova (CIT) A. Miller (NU) D. Perley (LJMU) P. Nugent (LBL) D. Goldstein (LBNL) M. Graham (UW) SN Ia cosmology A. Goobar (OKC) S. Dhawan (OKC) R. Biswas (OKC) U. Feindt (OKC) J. Nordin (Berlin) Students: Christopher Cannella (CIT) Yashvi Sharma (IIT Bombay) Kirsty Taggart (LJMU) | |||||||
Scanning and triggering guidelines | ||||||||
Changed: | ||||||||
< < | IMPORTANT: MAKE SURE THAT YOU SELECT to Show previously saved candidates for unselected programs when scanning RCF. | |||||||
> > | IMPORTANT: MAKE SURE THAT YOU SELECT to Show previously saved candidates for unselected programs when scanning RCF. You should also ensure all candidates can be viewed on one page if you are going to save candidates as you go. | |||||||
Scanning schedule: Scanning schedule 1. Once daily, scan the RCF program (don't forget to set the date-range appropriately on the scanning page, in UT) 2. Save all targets that passed our filter that are not known AGN, clear stars (CVs), or clear bogus | ||||||||
Added: | ||||||||
> > |
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Changed: | ||||||||
< < | - Here it is very helpful to look at PS1, or Gaia before saving, to determine if there is a star at the position of the transient that sgscore is unable to classify | |||||||
> > | Classification and TNS reporting | |||||||
Changed: | ||||||||
< < | - Note that if there is no visible counterpart, but the field looks like the candidate is very likely a CV, we still do save these candidates | |||||||
> > | 1. The new candidates for the day will be sent to TNS as ATs at the end of the day (PST) (which is in the morning in europe). This step is automated. | |||||||
Changed: | ||||||||
< < | - Note that known AGN will now be already flagged on the scanning page | |||||||
> > | 2. Go through the program report, look for new spectra, run them through SNID and classify.
| |||||||
Changed: | ||||||||
< < | - We do save all nuclear transients that are not known AGN | |||||||
> > | NOTE: We do not send classifications of AGN, or TDEs to TNS. | |||||||
Changed: | ||||||||
< < | 3. After scanning, look through the saved transients for the day on the program report page and their view source pages | |||||||
> > | $ :
ATel guidelines | |||||||
Changed: | ||||||||
< < | - Look for and add SDSS redshift when available | |||||||
> > | Once weekly, collect all transients that we have sent to TNS since our last ATel. The [TNS_upload_date] auto annotation can be used for this purpose. (see below for python scripts) To finalize an ATel there are a few things that must be manually checked. | |||||||
Changed: | ||||||||
< < | - Check the LCs, (detections interspersed with non-detections can indicate a bogus candidate, especially for nuclear candidates) | |||||||
> > | 1. Check the redshifts. If it comes from host galaxy lines or narrow SN lines, use 3 decimals. If it comes from a SNID fit to broad SN features (use 2 decimal points) | |||||||
Changed: | ||||||||
< < | - Check TNS, are there previous reporting on the position (can be a strong indicator of a CV, or AGN) | |||||||
> > | 2. Check TNS, and ATels for what other groups have done on the objects in our ATel (put this info in notes). | |||||||
Changed: | ||||||||
< < | 4. Trigger SEDM | |||||||
> > | RCF Scripts | |||||||
Changed: | ||||||||
< < | - Currently, we trigger everything that is <19 mag (so everything that passed for the day, and was not bogus, stars (CVs), or known AGN). | |||||||
> > | https://github.com/Yashvi-Sharma/RCF_scripts![]() | |||||||
Changed: | ||||||||
< < | - When triggering SEDM use "Followup" = "IFU" (the rest are only photometry), and set the priority to at least 2 (but most things worth saving should be a 3). | |||||||
> > | tns_upload_spec.py is used to send TNS classification reports get_source_tnsuploadinfo.py is used to generate a rough ATel table | |||||||
Changed: | ||||||||
< < | (5.) If there is an upcoming run at P200 (or other larger telescopes) | |||||||
> > | * CC and SN Ia pie charts (July 2018): ![]() ![]() | |||||||
Changed: | ||||||||
< < | - Go through the program report -- look for transients that SEDM has been unable to classify, and assign for followup at P200 (or other) | |||||||
> > |
| |||||||
Changed: | ||||||||
< < | Classification and TNS reporting | |||||||
> > | RCF Filter (After 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; | |||||||
Changed: | ||||||||
< < | 1. The new candidates for the day will be sent to TNS as ATs at the end of the day (PST) (which is in the morning in europe). This step is automated. | |||||||
> > | prevCandidates = observation["prv_candidates"]; m_now = observation["candidate"]["magpsf"]; m_app = observation["candidate"]["magap"]; t_now = observation["candidate"]["jd"]; fid_now = observation["candidate"]["fid"]; sgscore = observation["candidate"]["sgscore1"]; sgscore2 = observation["candidate"]["sgscore2"]; sgscore3 = observation["candidate"]["sgscore3"]; srmag = observation["candidate"]["srmag1"]; srmag2 = observation["candidate"]["srmag2"]; srmag3 = observation["candidate"]["srmag3"]; sgmag = observation["candidate"]["sgmag1"]; simag = observation["candidate"]["simag1"]; rbscore = observation["candidate"]["rb"]; magnr = observation["candidate"]["magnr"]; distnr = observation["candidate"]["distnr"]; distpsnr1=observation["candidate"]["distpsnr1"]; distpsnr2=observation["candidate"]["distpsnr2"]; distpsnr3=observation["candidate"]["distpsnr3"]; scorr = observation["candidate"]["scorr"]; fwhm = observation["candidate"]["fwhm"]; elong = observation["candidate"]["elong"]; nbad = observation["candidate"]["nbad"]; chipsf = observation["candidate"]["chipsf"]; gal_lat = observation["candidate"]["gal_lat"]; | |||||||
Changed: | ||||||||
< < | 2. Go through the program report, look for new spectra, run them through SNID and classify. | |||||||
> > | bright = m_now < 19.0; | |||||||
Changed: | ||||||||
< < | - Adjust classifications for all targets when possible. Especially make sure to classify any known AGN as AGN. | |||||||
> > | if (gal_lat and gal_lat < 10 and gal_lat > -10) { latitude = False; } | |||||||
Changed: | ||||||||
< < | - If you found that one target was bogus after saving to the program, transfer this target to the garbage dump program. Clear stars/CVs that don't need spectra can also be transferred to garbage dump. We keep all AGN, and Nuclear events on the program, even if we do not get spectra. | |||||||
> > | if (observation["candidate"]["isdiffpos"] and (observation["candidate"]["isdiffpos"] = "t" or observation["candidate"]["isdiffpos"] = "1")){ positiveSubtraction = True; } if (rbscore and rbscore > 0.2) { real = True; } | |||||||
Changed: | ||||||||
< < | 3. Any new classifications that have been made that do not have a [TNS_upload_date]: 2018-MM-DD auto annotation should be reported to TNS (we have a python script for this, see below) | |||||||
> > | if (sgscore and distpsnr1 and sgscore > 0.76 and distpsnr1<2) { noPointUnderneath = False; } | |||||||
Added: | ||||||||
> > | if ((distpsnr1 and srmag and distpsnr1 < 20 and srmag < 16.0 and srmag>0 and sgscore > 0.49) or (distpsnr2 and srmag2 and distpsnr2 < 20 and srmag2 < 16.0 and srmag2>0 and sgscore2 > 0.49) or (distpsnr3 and srmag3 and distpsnr3 < 20 and srmag3 < 16.0 and srmag3>0 and sgscore3 > 0.49) ) { brightStar = True; } | |||||||
Changed: | ||||||||
< < |
| |||||||
> > | for candidate in prevCandidates{ if (candidate["jd"] and candidate["magpsf"] and candidate["fid"] and candidate["isdiffpos"] and (candidate["isdiffpos"] = "t" or candidate["isdiffpos"] = "1")) { | |||||||
Changed: | ||||||||
< < | ATel guidelines | |||||||
> > | dt = t_now - candidate["jd"]; if (dt > 0.02 and candidate["magpsf"] < 99) { mover = False; } | |||||||
Changed: | ||||||||
< < | Once weekly, collect all transients that we have sent to TNS since our last ATel. The [TNS_upload_date] auto annotation can be used for this purpose. (see below for python scripts) To finalize an ATel there are a few things that must be manually checked. | |||||||
> > | if (dt = 0.0 and candidate["magpsf"] < 99){ if (candidate["jd"] > t_slope and candidate["fid"] == fid_now) { t_slope = candidate["jd"]; slope = (m_now - candidate["magpsf"]) / dt; } } } } | |||||||
Changed: | ||||||||
< < | 1. Check the redshifts. If it comes from host galaxy lines or narrow SN lines, use 3 decimals. If it comes from a SNID fit to broad SN features (use 2 decimal points) | |||||||
> > | annotate "magnitude" m_now; annotate "sgscore" sgscore; annotate "slope" slope; annotate "rbscore" rbscore; annotate "mover" mover; annotate "real" real; annotate "positiveSubtraction" positiveSubtraction; annotate "brightStar" brightStar; annotate "magnr" magnr; annotate "distnr" distnr; annotate "scorr" scorr; annotate "gal_lat" gal_lat; | |||||||
Changed: | ||||||||
< < | 2. Check TNS, and ATels for what other groups have done on the objects in our ATel (put this info in notes). | |||||||
> > | filteron latitude and bright and noPointUnderneath and (not mover) and real and positiveSubtraction and (not brightStar); | |||||||
Changed: | ||||||||
< < | RCF Scripts | |||||||
> > | RCF Filter (Before 2018-09-04): bright = False; noPointUnderneath = True; mover = True; real = False; slope = 0.0; t_slope = 0.0; rb = 0.0; positiveSubtraction = False; brightstar = False; scorr = 0.0; latitude = True; | |||||||
Changed: | ||||||||
< < | https://github.com/Yashvi-Sharma/RCF_scripts![]() | |||||||
> > | prevCandidates = observation["prv_candidates"]; m_now = observation["candidate"]["magpsf"]; m_app = observation["candidate"]["magap"]; t_now = observation["candidate"]["jd"]; fid_now = observation["candidate"]["fid"]; sgscore = observation["candidate"]["sgscore1"]; sgscore2 = observation["candidate"]["sgscore2"]; sgscore3 = observation["candidate"]["sgscore3"]; srmag = observation["candidate"]["srmag1"]; srmag2 = observation["candidate"]["srmag2"]; srmag3 = observation["candidate"]["srmag3"]; sgmag = observation["candidate"]["sgmag1"]; simag = observation["candidate"]["simag1"]; rbscore = observation["candidate"]["rb"]; magnr = observation["candidate"]["magnr"]; distnr = observation["candidate"]["distnr"]; distpsnr1=observation["candidate"]["distpsnr1"]; distpsnr2=observation["candidate"]["distpsnr2"]; distpsnr3=observation["candidate"]["distpsnr3"]; scorr = observation["candidate"]["scorr"]; fwhm = observation["candidate"]["fwhm"]; elong = observation["candidate"]["elong"]; nbad = observation["candidate"]["nbad"]; chipsf = observation["candidate"]["chipsf"]; gal_lat = observation["candidate"]["gal_lat"]; | |||||||
Changed: | ||||||||
< < | tns_upload_spec.py is used to send TNS classification reports get_source_tnsuploadinfo.py is used to generate a rough ATel table | |||||||
> > | bright = m_now < 19.0; | |||||||
Changed: | ||||||||
< < | * CC and SN Ia pie charts (July 2018): ![]() ![]()
bright = False;
noPointUnderneath = True;
mover = True;
real = False;
slope = 0.0;
t_slope = 0.0;
rb = 0.0;
positiveSubtraction = False;
brightstar = False;
scorr = 0.0;
latitude = True;
prevCandidates = observation["prv_candidates"];
m_now = observation["candidate"]["magpsf"];
m_app = observation["candidate"]["magap"];
t_now = observation["candidate"]["jd"];
fid_now = observation["candidate"]["fid"];
sgscore = observation["candidate"]["sgscore1"];
sgscore2 = observation["candidate"]["sgscore2"];
sgscore3 = observation["candidate"]["sgscore3"];
srmag = observation["candidate"]["srmag1"];
srmag2 = observation["candidate"]["srmag2"];
srmag3 = observation["candidate"]["srmag3"];
sgmag = observation["candidate"]["sgmag1"];
simag = observation["candidate"]["simag1"];
rbscore = observation["candidate"]["rb"];
magnr = observation["candidate"]["magnr"];
distnr = observation["candidate"]["distnr"];
distpsnr1=observation["candidate"]["distpsnr1"];
distpsnr2=observation["candidate"]["distpsnr2"];
distpsnr3=observation["candidate"]["distpsnr3"];
scorr = observation["candidate"]["scorr"];
fwhm = observation["candidate"]["fwhm"];
elong = observation["candidate"]["elong"];
nbad = observation["candidate"]["nbad"];
chipsf = observation["candidate"]["chipsf"];
gal_lat = observation["candidate"]["gal_lat"]; | |||||||
> > | if (gal_lat and gal_lat < 7 and gal_lat > -7) { latitude = False; } | |||||||
Changed: | ||||||||
< < | bright = m_now < 19.0; | |||||||
> > | if (observation["candidate"]["isdiffpos"] and (observation["candidate"]["isdiffpos"] = "t" or observation["candidate"]["isdiffpos"] = "1")){ positiveSubtraction = True; } if (rbscore and rbscore > 0.2) { real = True; } | |||||||
Changed: | ||||||||
< < | if (gal_lat and gal_lat < 10 and gal_lat > -10) { latitude = False; } if (observation["candidate"]["isdiffpos"] and (observation["candidate"]["isdiffpos"] = "t" or observation["candidate"]["isdiffpos"] = "1")){ positiveSubtraction = True; } if (rbscore and rbscore > 0.2) { real = True; } if (sgscore and distpsnr1 and sgscore > 0.76 and distpsnr1<2) { noPointUnderneath = False; } if ((distpsnr1 and srmag and distpsnr1 < 20 and srmag < 16.0 and srmag>0 and sgscore > 0.49) or (distpsnr2 and srmag2 and distpsnr2 < 20 and srmag2 < 16.0 and srmag2>0 and sgscore2 > 0.49) or (distpsnr3 and srmag3 and distpsnr3 < 20 and srmag3 < 16.0 and srmag3>0 and sgscore3 > 0.49) ) { brightStar = True; } for candidate in prevCandidates{ if (candidate["jd"] and candidate["magpsf"] and candidate["fid"] and candidate["isdiffpos"] and (candidate["isdiffpos"] = "t" or candidate["isdiffpos"] = "1")) { dt = t_now - candidate["jd"]; if (dt > 0.02 and candidate["magpsf"] < 99) { mover = False; } if (dt = 0.0 and candidate["magpsf"] < 99){ if (candidate["jd"] > t_slope and candidate["fid"] == fid_now) { t_slope = candidate["jd"]; slope = (m_now - candidate["magpsf"]) / dt; } } } } annotate "magnitude" m_now; annotate "sgscore" sgscore; annotate "slope" slope; annotate "rbscore" rbscore; annotate "mover" mover; annotate "real" real; annotate "positiveSubtraction" positiveSubtraction; annotate "brightStar" brightStar; annotate "magnr" magnr; annotate "distnr" distnr; annotate "scorr" scorr; annotate "gal_lat" gal_lat; | |||||||
> > | if (sgscore and distpsnr1 and sgscore > 0.76 and distpsnr1<2) { noPointUnderneath = False; } | |||||||
Changed: | ||||||||
< < | filteron latitude and bright and noPointUnderneath and (not mover) and real and positiveSubtraction and (not brightStar); | |||||||
> > | if ((distpsnr1 and srmag and distpsnr1 < 20 and srmag < 16.0 and srmag>0 and sgscore > 0.49) or (distpsnr2 and srmag2 and distpsnr2 < 20 and srmag2 < 16.0 and srmag2>0 and sgscore2 > 0.49) or (distpsnr3 and srmag3 and distpsnr3 < 20 and srmag3 < 16.0 and srmag3>0 and sgscore3 > 0.49) ) { brightStar = True; } | |||||||
Changed: | ||||||||
< < | RCF Filter (Before 2018-09-04):
bright = False;
noPointUnderneath = True;
mover = True;
real = False;
slope = 0.0;
t_slope = 0.0;
rb = 0.0;
positiveSubtraction = False;
brightstar = False;
scorr = 0.0;
latitude = True;
prevCandidates = observation["prv_candidates"];
m_now = observation["candidate"]["magpsf"];
m_app = observation["candidate"]["magap"];
t_now = observation["candidate"]["jd"];
fid_now = observation["candidate"]["fid"];
sgscore = observation["candidate"]["sgscore1"];
sgscore2 = observation["candidate"]["sgscore2"];
sgscore3 = observation["candidate"]["sgscore3"];
srmag = observation["candidate"]["srmag1"];
srmag2 = observation["candidate"]["srmag2"];
srmag3 = observation["candidate"]["srmag3"];
sgmag = observation["candidate"]["sgmag1"];
simag = observation["candidate"]["simag1"];
rbscore = observation["candidate"]["rb"];
magnr = observation["candidate"]["magnr"];
distnr = observation["candidate"]["distnr"];
distpsnr1=observation["candidate"]["distpsnr1"];
distpsnr2=observation["candidate"]["distpsnr2"];
distpsnr3=observation["candidate"]["distpsnr3"];
scorr = observation["candidate"]["scorr"];
fwhm = observation["candidate"]["fwhm"];
elong = observation["candidate"]["elong"];
nbad = observation["candidate"]["nbad"];
chipsf = observation["candidate"]["chipsf"];
gal_lat = observation["candidate"]["gal_lat"]; | |||||||
> > | for candidate in prevCandidates{ if (candidate["jd"] and candidate["magpsf"] and candidate["fid"] and candidate["isdiffpos"] and (candidate["isdiffpos"] = "t" or candidate["isdiffpos"] = "1")) { | |||||||
Changed: | ||||||||
< < | bright = m_now < 19.0; | |||||||
> > | dt = t_now - candidate["jd"]; if (dt > 0.02 and candidate["magpsf"] < 99) { mover = False; } if (dt = 0.0 and candidate["magpsf"] < 99){ if (candidate["jd"] > t_slope and candidate["fid"] == fid_now) { t_slope = candidate["jd"]; slope = (m_now - candidate["magpsf"]) / dt; } } } } | |||||||
Changed: | ||||||||
< < | if (gal_lat and gal_lat < 7 and gal_lat > -7) { latitude = False; } if (observation["candidate"]["isdiffpos"] and (observation["candidate"]["isdiffpos"] = "t" or observation["candidate"]["isdiffpos"] = "1")){ positiveSubtraction = True; } if (rbscore and rbscore > 0.2) { real = True; } if (sgscore and distpsnr1 and sgscore > 0.76 and distpsnr1<2) { noPointUnderneath = False; } if ((distpsnr1 and srmag and distpsnr1 < 20 and srmag < 16.0 and srmag>0 and sgscore > 0.49) or (distpsnr2 and srmag2 and distpsnr2 < 20 and srmag2 < 16.0 and srmag2>0 and sgscore2 > 0.49) or (distpsnr3 and srmag3 and distpsnr3 < 20 and srmag3 < 16.0 and srmag3>0 and sgscore3 > 0.49) ) { brightStar = True; } for candidate in prevCandidates{ if (candidate["jd"] and candidate["magpsf"] and candidate["fid"] and candidate["isdiffpos"] and (candidate["isdiffpos"] = "t" or candidate["isdiffpos"] = "1")) { dt = t_now - candidate["jd"]; if (dt > 0.02 and candidate["magpsf"] < 99) { mover = False; } if (dt = 0.0 and candidate["magpsf"] < 99){ if (candidate["jd"] > t_slope and candidate["fid"] == fid_now) { t_slope = candidate["jd"]; slope = (m_now - candidate["magpsf"]) / dt; } } } } annotate "magnitude" m_now; annotate "sgscore" sgscore; annotate "slope" slope; annotate "rbscore" rbscore; annotate "mover" mover; annotate "real" real; annotate "positiveSubtraction" positiveSubtraction; annotate "brightStar" brightStar; annotate "magnr" magnr; annotate "distnr" distnr; annotate "scorr" scorr; annotate "gal_lat" gal_lat; | |||||||
> > | annotate "magnitude" m_now; annotate "sgscore" sgscore; annotate "slope" slope; annotate "rbscore" rbscore; annotate "mover" mover; annotate "real" real; annotate "positiveSubtraction" positiveSubtraction; annotate "brightStar" brightStar; annotate "magnr" magnr; annotate "distnr" distnr; annotate "scorr" scorr; annotate "gal_lat" gal_lat; | |||||||
filteron latitude and bright and noPointUnderneath and (not mover) and real and positiveSubtraction and (not brightStar); |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
| ||||||||
Changed: | ||||||||
< < | We will perform a flux limited transient survey based on the MSIP all sky survey. The standard in this field is set by ASAS-SN which is by our estimate complete to less than 17 mag. The experimental goal of the ZTF RCF project is to classify transients (which are mostly SNe) to a peak magnitude, m_p of about 18 mag. In practice, this means classifying transients which are a few tenths mag fainter (~18.5). Flux limited surveys serve many purposes, and are essential for e.g., computing rates. We have a specific novel goal: use SN of type Ia to evaluate the red-shift completeness factor (RCF) of catalog(s) of nearby (<200 Mpc). [ http://adsabs.harvard.edu/abs/2017arXiv171004223K![]() ![]() | |||||||
> > | We will perform a flux limited transient survey based on the MSIP all sky survey. The standard in this field is set by ASAS-SN which is by our estimate complete to less than 17 mag. The experimental goal of the ZTF RCF project is to classify transients (which are mostly SNe) to a peak magnitude, m_p of about 18 mag. In practice, this means classifying transients which are a few tenths mag fainter (~18.5). Flux limited surveys serve many purposes, and are essential for e.g., computing rates. We have a specific novel goal: use SN of type Ia to evaluate the red-shift completeness factor (RCF) of catalog(s) of nearby (<200 Mpc). [ http://adsabs.harvard.edu/abs/2017arXiv171004223K![]() ![]() | |||||||
Date of next telecon | ||||||||
Changed: | ||||||||
< < | TBA | |||||||
> > | Tuesdays 10am PDT | |||||||
People | ||||||||
Line: 38 to 37 | ||||||||
IMPORTANT: MAKE SURE THAT YOU SELECT to Show previously saved candidates for unselected programs when scanning RCF. | ||||||||
Added: | ||||||||
> > | Scanning schedule: Scanning schedule | |||||||
1. Once daily, scan the RCF program (don't forget to set the date-range appropriately on the scanning page, in UT) 2. Save all targets that passed our filter that are not known AGN, clear stars (CVs), or clear bogus | ||||||||
Line: 60 to 61 | ||||||||
4. Trigger SEDM | ||||||||
Changed: | ||||||||
< < | - Currently, we trigger everything that is <19 mag (so everything that passed for the day, and was not bogus, stars (CVs), or known AGN). | |||||||
> > | - Currently, we trigger everything that is <19 mag (so everything that passed for the day, and was not bogus, stars (CVs), or known AGN). | |||||||
- When triggering SEDM use "Followup" = "IFU" (the rest are only photometry), and set the priority to at least 2 (but most things worth saving should be a 3). | ||||||||
Line: 81 to 81 | ||||||||
3. Any new classifications that have been made that do not have a [TNS_upload_date]: 2018-MM-DD auto annotation should be reported to TNS (we have a python script for this, see below) | ||||||||
Deleted: | ||||||||
< < |
| |||||||
Added: | ||||||||
> > |
| |||||||
ATel guidelines | ||||||||
Added: | ||||||||
> > | ||||||||
Once weekly, collect all transients that we have sent to TNS since our last ATel. The [TNS_upload_date] auto annotation can be used for this purpose. (see below for python scripts) To finalize an ATel there are a few things that must be manually checked. | ||||||||
Line: 114 to 109 | ||||||||
* CC and SN Ia pie charts (July 2018): | ||||||||
Changed: | ||||||||
< < | ![]() ![]() | |||||||
> > | ![]() ![]() | |||||||
| ||||||||
Changed: | ||||||||
< < | ![]() | |||||||
> > | ![]() | |||||||
RCF Filter (After 2018-09-04):
| ||||||||
Line: 133 to 127 | ||||||||
positiveSubtraction = False; brightstar = False; scorr = 0.0; | ||||||||
Changed: | ||||||||
< < | latitude = True; | |||||||
> > | latitude = True; | |||||||
prevCandidates = observation["prv_candidates"]; m_now = observation["candidate"]["magpsf"]; | ||||||||
Line: 163 to 155 | ||||||||
chipsf = observation["candidate"]["chipsf"]; gal_lat = observation["candidate"]["gal_lat"]; | ||||||||
Changed: | ||||||||
< < | bright = m_now < 19.0; | |||||||
> > | bright = m_now < 19.0; | |||||||
Changed: | ||||||||
< < | if (gal_lat and gal_lat < 10 and gal_lat > -10) { | |||||||
> > | if (gal_lat and gal_lat < 10 and gal_lat > -10) { | |||||||
latitude = False; } | ||||||||
Changed: | ||||||||
< < | if (observation["candidate"]["isdiffpos"] and (observation["candidate"]["isdiffpos"] = "t" or observation["candidate"]["isdiffpos"] = "1")){ | |||||||
> > | if (observation["candidate"]["isdiffpos"] and (observation["candidate"]["isdiffpos"] = "t" or observation["candidate"]["isdiffpos"] = "1")){ | |||||||
positiveSubtraction = True; } | ||||||||
Changed: | ||||||||
< < | if (rbscore and rbscore > 0.2) { | |||||||
> > | if (rbscore and rbscore > 0.2) { | |||||||
real = True; } | ||||||||
Changed: | ||||||||
< < | if (sgscore and distpsnr1 and sgscore > 0.76 and distpsnr1<2) { | |||||||
> > | if (sgscore and distpsnr1 and sgscore > 0.76 and distpsnr1<2) { | |||||||
noPointUnderneath = False; } | ||||||||
Changed: | ||||||||
< < | if ((distpsnr1 and srmag and distpsnr1 < 20 and srmag < 16.0 and srmag>0 and sgscore > 0.49) or (distpsnr2 and srmag2 and distpsnr2 < 20 and srmag2 < 16.0 and srmag2>0 and sgscore2 > 0.49) or (distpsnr3 and srmag3 and distpsnr3 < 20 and srmag3 < 16.0 and srmag3>0 and sgscore3 > 0.49) ) { | |||||||
> > | if ((distpsnr1 and srmag and distpsnr1 < 20 and srmag < 16.0 and srmag>0 and sgscore > 0.49) or (distpsnr2 and srmag2 and distpsnr2 < 20 and srmag2 < 16.0 and srmag2>0 and sgscore2 > 0.49) or (distpsnr3 and srmag3 and distpsnr3 < 20 and srmag3 < 16.0 and srmag3>0 and sgscore3 > 0.49) ) { | |||||||
brightStar = True; } | ||||||||
Line: 184 to 176 | ||||||||
brightStar = True; } | ||||||||
Deleted: | ||||||||
< < | ||||||||
for candidate in prevCandidates{ | ||||||||
Changed: | ||||||||
< < | if (candidate["jd"] and candidate["magpsf"] and candidate["fid"] and candidate["isdiffpos"] and (candidate["isdiffpos"] = "t" or candidate["isdiffpos"] = "1")) { | |||||||
> > | if (candidate["jd"] and candidate["magpsf"] and candidate["fid"] and candidate["isdiffpos"] and (candidate["isdiffpos"] = "t" or candidate["isdiffpos"] = "1")) { | |||||||
dt = t_now - candidate["jd"]; | ||||||||
Changed: | ||||||||
< < | if (dt > 0.02 and candidate["magpsf"] < 99) { | |||||||
> > | if (dt > 0.02 and candidate["magpsf"] < 99) { | |||||||
mover = False; } | ||||||||
Changed: | ||||||||
< < | if (dt = 0.0 and candidate["magpsf"] < 99){ if (candidate["jd"] > t_slope and candidate["fid"] == fid_now) { | |||||||
> > | if (dt = 0.0 and candidate["magpsf"] < 99){ if (candidate["jd"] > t_slope and candidate["fid"] == fid_now) { | |||||||
t_slope = candidate["jd"]; slope = (m_now - candidate["magpsf"]) / dt; } | ||||||||
Line: 215 to 206 | ||||||||
annotate "scorr" scorr; annotate "gal_lat" gal_lat; | ||||||||
Deleted: | ||||||||
< < | ||||||||
filteron latitude and bright and noPointUnderneath and (not mover) and real and positiveSubtraction and (not brightStar); | ||||||||
Deleted: | ||||||||
< < | ||||||||
RCF Filter (Before 2018-09-04):
| ||||||||
Line: 231 to 220 | ||||||||
positiveSubtraction = False; brightstar = False; scorr = 0.0; | ||||||||
Changed: | ||||||||
< < | latitude = True; | |||||||
> > | latitude = True; | |||||||
prevCandidates = observation["prv_candidates"]; m_now = observation["candidate"]["magpsf"]; | ||||||||
Line: 261 to 248 | ||||||||
chipsf = observation["candidate"]["chipsf"]; gal_lat = observation["candidate"]["gal_lat"]; | ||||||||
Changed: | ||||||||
< < | bright = m_now < 19.0; | |||||||
> > | bright = m_now < 19.0; | |||||||
Changed: | ||||||||
< < | if (gal_lat and gal_lat < 7 and gal_lat > -7) { | |||||||
> > | if (gal_lat and gal_lat < 7 and gal_lat > -7) { | |||||||
latitude = False; } | ||||||||
Changed: | ||||||||
< < | if (observation["candidate"]["isdiffpos"] and (observation["candidate"]["isdiffpos"] = "t" or observation["candidate"]["isdiffpos"] = "1")){ | |||||||
> > | if (observation["candidate"]["isdiffpos"] and (observation["candidate"]["isdiffpos"] = "t" or observation["candidate"]["isdiffpos"] = "1")){ | |||||||
positiveSubtraction = True; } | ||||||||
Changed: | ||||||||
< < | if (rbscore and rbscore > 0.2) { | |||||||
> > | if (rbscore and rbscore > 0.2) { | |||||||
real = True; } | ||||||||
Changed: | ||||||||
< < | if (sgscore and distpsnr1 and sgscore > 0.76 and distpsnr1<2) { | |||||||
> > | if (sgscore and distpsnr1 and sgscore > 0.76 and distpsnr1<2) { | |||||||
noPointUnderneath = False; } | ||||||||
Changed: | ||||||||
< < | if ((distpsnr1 and srmag and distpsnr1 < 20 and srmag < 16.0 and srmag>0 and sgscore > 0.49) or (distpsnr2 and srmag2 and distpsnr2 < 20 and srmag2 < 16.0 and srmag2>0 and sgscore2 > 0.49) or (distpsnr3 and srmag3 and distpsnr3 < 20 and srmag3 < 16.0 and srmag3>0 and sgscore3 > 0.49) ) { | |||||||
> > | if ((distpsnr1 and srmag and distpsnr1 < 20 and srmag < 16.0 and srmag>0 and sgscore > 0.49) or (distpsnr2 and srmag2 and distpsnr2 < 20 and srmag2 < 16.0 and srmag2>0 and sgscore2 > 0.49) or (distpsnr3 and srmag3 and distpsnr3 < 20 and srmag3 < 16.0 and srmag3>0 and sgscore3 > 0.49) ) { | |||||||
brightStar = True; } | ||||||||
Line: 282 to 269 | ||||||||
brightStar = True; } | ||||||||
Deleted: | ||||||||
< < | ||||||||
for candidate in prevCandidates{ | ||||||||
Changed: | ||||||||
< < | if (candidate["jd"] and candidate["magpsf"] and candidate["fid"] and candidate["isdiffpos"] and (candidate["isdiffpos"] = "t" or candidate["isdiffpos"] = "1")) { | |||||||
> > | if (candidate["jd"] and candidate["magpsf"] and candidate["fid"] and candidate["isdiffpos"] and (candidate["isdiffpos"] = "t" or candidate["isdiffpos"] = "1")) { | |||||||
dt = t_now - candidate["jd"]; | ||||||||
Changed: | ||||||||
< < | if (dt > 0.02 and candidate["magpsf"] < 99) { | |||||||
> > | if (dt > 0.02 and candidate["magpsf"] < 99) { | |||||||
mover = False; } | ||||||||
Changed: | ||||||||
< < | if (dt = 0.0 and candidate["magpsf"] < 99){ if (candidate["jd"] > t_slope and candidate["fid"] == fid_now) { | |||||||
> > | if (dt = 0.0 and candidate["magpsf"] < 99){ if (candidate["jd"] > t_slope and candidate["fid"] == fid_now) { | |||||||
t_slope = candidate["jd"]; slope = (m_now - candidate["magpsf"]) / dt; } | ||||||||
Line: 313 to 299 | ||||||||
annotate "scorr" scorr; annotate "gal_lat" gal_lat; | ||||||||
Deleted: | ||||||||
< < | ||||||||
filteron latitude and bright and noPointUnderneath and (not mover) and real and positiveSubtraction and (not brightStar); | ||||||||
Deleted: | ||||||||
< < | ||||||||
RCF webpage (for host redshift determination) | ||||||||
Added: | ||||||||
> > | ||||||||
(Info from email by Chris Cannella) I have some preliminary RCF pages running on skipper. As with the marshal, you'll need to register for an account here (to avoid letting just anyone potentially make changes to the data): |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
![]() ![]() | ||||||||
Line: 62 to 62 | ||||||||
- Currently, we trigger everything that is <19 mag (so everything that passed for the day, and was not bogus, stars (CVs), or known AGN). | ||||||||
Changed: | ||||||||
< < | - When triggering SEDM use "Followup" = "IFU" (the rest are only photometry). | |||||||
> > | - When triggering SEDM use "Followup" = "IFU" (the rest are only photometry), and set the priority to at least 2 (but most things worth saving should be a 3). | |||||||
(5.) If there is an upcoming run at P200 (or other larger telescopes) |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
![]() ![]() | ||||||||
Line: 62 to 62 | ||||||||
- Currently, we trigger everything that is <19 mag (so everything that passed for the day, and was not bogus, stars (CVs), or known AGN). | ||||||||
Added: | ||||||||
> > | - When triggering SEDM use "Followup" = "IFU" (the rest are only photometry). | |||||||
(5.) If there is an upcoming run at P200 (or other larger telescopes) - Go through the program report -- look for transients that SEDM has been unable to classify, and assign for followup at P200 (or other) |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
![]() ![]() | ||||||||
Line: 119 to 119 | ||||||||
| ||||||||
Added: | ||||||||
> > | RCF Filter (After 2018-09-04):
bright = False;
noPointUnderneath = True;
mover = True;
real = False;
slope = 0.0;
t_slope = 0.0;
rb = 0.0;
positiveSubtraction = False;
brightstar = False;
scorr = 0.0;
latitude = True;
prevCandidates = observation["prv_candidates"];
m_now = observation["candidate"]["magpsf"];
m_app = observation["candidate"]["magap"];
t_now = observation["candidate"]["jd"];
fid_now = observation["candidate"]["fid"];
sgscore = observation["candidate"]["sgscore1"];
sgscore2 = observation["candidate"]["sgscore2"];
sgscore3 = observation["candidate"]["sgscore3"];
srmag = observation["candidate"]["srmag1"];
srmag2 = observation["candidate"]["srmag2"];
srmag3 = observation["candidate"]["srmag3"];
sgmag = observation["candidate"]["sgmag1"];
simag = observation["candidate"]["simag1"];
rbscore = observation["candidate"]["rb"];
magnr = observation["candidate"]["magnr"];
distnr = observation["candidate"]["distnr"];
distpsnr1=observation["candidate"]["distpsnr1"];
distpsnr2=observation["candidate"]["distpsnr2"];
distpsnr3=observation["candidate"]["distpsnr3"];
scorr = observation["candidate"]["scorr"];
fwhm = observation["candidate"]["fwhm"];
elong = observation["candidate"]["elong"];
nbad = observation["candidate"]["nbad"];
chipsf = observation["candidate"]["chipsf"];
gal_lat = observation["candidate"]["gal_lat"];
bright = m_now < 19.0;
if (gal_lat and gal_lat < 10 and gal_lat > -10) {
latitude = False;
}
if (observation["candidate"]["isdiffpos"] and (observation["candidate"]["isdiffpos"]
RCF Filter (Before 2018-09-04):
bright = False;
noPointUnderneath = True;
mover = True;
real = False;
slope = 0.0;
t_slope = 0.0;
rb = 0.0;
positiveSubtraction = False;
brightstar = False;
scorr = 0.0;
latitude = True;
prevCandidates = observation["prv_candidates"];
m_now = observation["candidate"]["magpsf"];
m_app = observation["candidate"]["magap"];
t_now = observation["candidate"]["jd"];
fid_now = observation["candidate"]["fid"];
sgscore = observation["candidate"]["sgscore1"];
sgscore2 = observation["candidate"]["sgscore2"];
sgscore3 = observation["candidate"]["sgscore3"];
srmag = observation["candidate"]["srmag1"];
srmag2 = observation["candidate"]["srmag2"];
srmag3 = observation["candidate"]["srmag3"];
sgmag = observation["candidate"]["sgmag1"];
simag = observation["candidate"]["simag1"];
rbscore = observation["candidate"]["rb"];
magnr = observation["candidate"]["magnr"];
distnr = observation["candidate"]["distnr"];
distpsnr1=observation["candidate"]["distpsnr1"];
distpsnr2=observation["candidate"]["distpsnr2"];
distpsnr3=observation["candidate"]["distpsnr3"];
scorr = observation["candidate"]["scorr"];
fwhm = observation["candidate"]["fwhm"];
elong = observation["candidate"]["elong"];
nbad = observation["candidate"]["nbad"];
chipsf = observation["candidate"]["chipsf"];
gal_lat = observation["candidate"]["gal_lat"];
bright = m_now < 19.0;
if (gal_lat and gal_lat < 7 and gal_lat > -7) {
latitude = False;
}
if (observation["candidate"]["isdiffpos"] and (observation["candidate"]["isdiffpos"]
| |||||||
RCF webpage (for host redshift determination)(Info from email by Chris Cannella) |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
![]() ![]() | ||||||||
Line: 35 to 35 | ||||||||
Kirsty Taggart (LJMU) Scanning and triggering guidelines | ||||||||
Added: | ||||||||
> > | IMPORTANT: MAKE SURE THAT YOU SELECT to Show previously saved candidates for unselected programs when scanning RCF. | |||||||
1. Once daily, scan the RCF program (don't forget to set the date-range appropriately on the scanning page, in UT) 2. Save all targets that passed our filter that are not known AGN, clear stars (CVs), or clear bogus |
Line: 1 to 1 | |||||||||
---|---|---|---|---|---|---|---|---|---|
![]() ![]() | |||||||||
Line: 100 to 100 | |||||||||
Added: | |||||||||
> > | * CC and SN Ia pie charts (July 2018): ![]() ![]() | ||||||||
Changed: | |||||||||
< < | |||||||||
> > |
| ||||||||
RCF webpage (for host redshift determination) | |||||||||
Line: 130 to 143 | |||||||||
-- ChristofferFremling - 21 Mar 2018 | |||||||||
Added: | |||||||||
> > |
|
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
![]() ![]() | ||||||||
Line: 41 to 41 | ||||||||
- Here it is very helpful to look at PS1, or Gaia before saving, to determine if there is a star at the position of the transient that sgscore is unable to classify | ||||||||
Changed: | ||||||||
< < | - Note that if there is no visible counterpart, and the field looks like the candidate is very likely a CV, we still do save these candidates | |||||||
> > | - Note that if there is no visible counterpart, but the field looks like the candidate is very likely a CV, we still do save these candidates | |||||||
- Note that known AGN will now be already flagged on the scanning page | ||||||||
Line: 53 to 53 | ||||||||
- Check the LCs, (detections interspersed with non-detections can indicate a bogus candidate, especially for nuclear candidates) | ||||||||
Added: | ||||||||
> > | - Check TNS, are there previous reporting on the position (can be a strong indicator of a CV, or AGN) | |||||||
4. Trigger SEDM | ||||||||
Changed: | ||||||||
< < | - Currently, we trigger everything that is <19 mag (so everything that passed for the day, and was not bogus, stars, or known AGN). | |||||||
> > | - Currently, we trigger everything that is <19 mag (so everything that passed for the day, and was not bogus, stars (CVs), or known AGN). | |||||||
(5.) If there is an upcoming run at P200 (or other larger telescopes) | ||||||||
Line: 68 to 70 | ||||||||
2. Go through the program report, look for new spectra, run them through SNID and classify. | ||||||||
Changed: | ||||||||
< < | 3. Any new classifications that has been made that do not have a [TNS_upload_date]: 2018-08-09 auto annotation should be reported to TNS (we have a python script for this, see below) | |||||||
> > | - Adjust classifications for all targets when possible. Especially make sure to classify any known AGN as AGN. - I f you found that one target was bogus after saving to the program, transfer this target to the garbage dump program. Clear stars/CVs that don't need spectra can also be transferred to garbage dump. We keep all AGN, and Nuclear events on the program, even if we do not get spectra. 3. Any new classifications that have been made that do not have a [TNS_upload_date]: 2018-MM-DD auto annotation should be reported to TNS (we have a python script for this, see below) | |||||||
Added: | ||||||||
> > |
| |||||||
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
![]() ![]() | ||||||||
Line: 35 to 35 | ||||||||
Kirsty Taggart (LJMU) Scanning and triggering guidelines | ||||||||
Changed: | ||||||||
< < | 1. Once daily, scan the RCF program | |||||||
> > | 1. Once daily, scan the RCF program (don't forget to set the date-range appropriately on the scanning page, in UT) | |||||||
2. Save all targets that passed our filter that are not known AGN, clear stars (CVs), or clear bogus |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
![]() ![]() Date of next telecon | ||||||||
Changed: | ||||||||
< < | Jul 11 2018 | |||||||
> > | TBA | |||||||
PeopleS. Kulkarni, C. Fremling (CIT lead) | ||||||||
Added: | ||||||||
> > | A. Dugas | |||||||
N. Blagorodnova (CIT) A. Miller (NU) D. Perley (LJMU) | ||||||||
Line: 33 to 34 | ||||||||
Yashvi Sharma (IIT Bombay) Kirsty Taggart (LJMU) | ||||||||
Added: | ||||||||
> > | Scanning and triggering guidelines1. Once daily, scan the RCF program | |||||||
Added: | ||||||||
> > | 2. Save all targets that passed our filter that are not known AGN, clear stars (CVs), or clear bogus | |||||||
Changed: | ||||||||
< < | RCF webpage | |||||||
> > | - Here it is very helpful to look at PS1, or Gaia before saving, to determine if there is a star at the position of the transient that sgscore is unable to classify
- Note that if there is no visible counterpart, and the field looks like the candidate is very likely a CV, we still do save these candidates
- Note that known AGN will now be already flagged on the scanning page
- We do save all nuclear transients that are not known AGN
3. After scanning, look through the saved transients for the day on the program report page and their view source pages
- Look for and add SDSS redshift when available
- Check the LCs, (detections interspersed with non-detections can indicate a bogus candidate, especially for nuclear candidates)
4. Trigger SEDM
- Currently, we trigger everything that is <19 mag (so everything that passed for the day, and was not bogus, stars, or known AGN).
(5.) If there is an upcoming run at P200 (or other larger telescopes)
- Go through the program report -- look for transients that SEDM has been unable to classify, and assign for followup at P200 (or other)
Classification and TNS reporting1. The new candidates for the day will be sent to TNS as ATs at the end of the day (PST) (which is in the morning in europe). This step is automated. 2. Go through the program report, look for new spectra, run them through SNID and classify. 3. Any new classifications that has been made that do not have a [TNS_upload_date]: 2018-08-09 auto annotation should be reported to TNS (we have a python script for this, see below)ATel guidelinesOnce weekly, collect all transients that we have sent to TNS since our last ATel. The [TNS_upload_date] auto annotation can be used for this purpose. (see below for python scripts) To finalize an ATel there are a few things that must be manually checked. 1. Check the redshifts. If it comes from host galaxy lines or narrow SN lines, use 3 decimals. If it comes from a SNID fit to broad SN features (use 2 decimal points) 2. Check TNS, and ATels for what other groups have done on the objects in our ATel (put this info in notes).RCF Scriptshttps://github.com/Yashvi-Sharma/RCF_scripts![]() RCF webpage (for host redshift determination) | |||||||
(Info from email by Chris Cannella) I have some preliminary RCF pages running on skipper. As with the marshal, you'll need to register for an account here (to avoid letting just anyone potentially make changes to the data): |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
![]() ![]() Date of next telecon | ||||||||
Changed: | ||||||||
< < | Apr. 2 - Apr. 9? | |||||||
> > | Jul 11 2018 | |||||||
People |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
![]() ![]() | ||||||||
Line: 23 to 23 | ||||||||
A. Goobar (OKC) S. Dhawan (OKC) R. Biswas (OKC) | ||||||||
Added: | ||||||||
> > | U. Feindt (OKC) | |||||||
J. Nordin (Berlin) |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
![]() ![]() | ||||||||
Line: 12 to 12 | ||||||||
S. Kulkarni, C. Fremling (CIT lead) N. Blagorodnova (CIT) | ||||||||
Deleted: | ||||||||
< < | D. Perley (LJMU) | |||||||
A. Miller (NU) | ||||||||
Added: | ||||||||
> > | D. Perley (LJMU) | |||||||
P. Nugent (LBL) D. Goldstein (LBNL) | ||||||||
Changed: | ||||||||
< < | M. Graham? | |||||||
> > | M. Graham (UW) | |||||||
SN Ia cosmology |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
![]() ![]() | ||||||||
Line: 32 to 32 | ||||||||
Yashvi Sharma (IIT Bombay) Kirsty Taggart (LJMU) | ||||||||
Added: | ||||||||
> > |
RCF webpage(Info from email by Chris Cannella) I have some preliminary RCF pages running on skipper. As with the marshal, you'll need to register for an account here (to avoid letting just anyone potentially make changes to the data): http://skipper.caltech.edu:8083/redcomp/register.html![]() ![]() ![]() | |||||||
-- ChristofferFremling - 21 Mar 2018 |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Added: | ||||||||
> > |
![]() ![]() Date of next teleconApr. 2 - Apr. 9?PeopleS. Kulkarni, C. Fremling (CIT lead)N. Blagorodnova (CIT) D. Perley (LJMU) A. Miller (NU) P. Nugent (LBL) D. Goldstein (LBNL) M. Graham? SN Ia cosmology A. Goobar (OKC) S. Dhawan (OKC) R. Biswas (OKC) J. Nordin (Berlin) Students: Christopher Cannella (CIT) Yashvi Sharma (IIT Bombay) Kirsty Taggart (LJMU) -- ChristofferFremling - 21 Mar 2018 |