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J/A+A/677/A16
  Light curves neural network approximation (Demianenko+, 2023)
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2023A&A...677A..16D
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1.J/A+A/677/A16/table9Estimated peaks for the Zwicky Transient Facility (ZTF) Bright Transient Survey (BTS) objects (1870 rows)

Simple ConstraintList Of Constraints
 
Query by Constraints constraints help applied on Columns (Output Order: + - )
ShowSortColumn  Constraint Explain   (UCD)
  recno  Record number assigned by the VizieR team. Should Not be used for identification. (meta.record)
  Num   [0/1869] Sequnetial number of object (num) (meta.id)
  Name (char) ZTF 9-letter identifier (ZTFAAaaaaaaa) (obj_names) (meta.id;meta.main)
  g+rmagBNN mag Magnitude of peak in {g} + {r} bands, Bayesian Neural Networks (BBM) (magnitudessumbnn) (phot.mag;em.opt)
  Fg+rBNN mJy Flux of peak in {g} + {r} bands, Bayesian Neural Networks (BBM) (fluxessumbnn) (phot.flux.density;em.opt)
  Tg+rBNN d Time of peak in {g} + {r} in MJD, Bayesian Neural Networks (BBM) (timessumbnn) (time.epoch)
  gmagBNN mag Magnitude of peak in {g} band, Bayesian Neural Networks (BBM) (magnitudesgbnn) (phot.mag;em.opt)
  FgBNN mJy Flux of peak in {g} band, Bayesian Neural Networks (BBM) (fluxesgbnn) (phot.flux.density;em.opt)
  TgBNN d Time of peak in {g} band in MJD, Bayesian Neural Networks (BBM) (timesgbnn) (time.epoch)
  rmagBNN mag Magnitude of peak in {r} band, Bayesian Neural Networks (BBM) (magnitudesrbnn) (phot.mag;em.opt)
  FrBNN mJy Flux of peak in {r} band, Bayesian Neural Networks (BBM) (fluxesrbnn) (phot.flux.density;em.opt)

ALL cols		    
 (i)indexed column
  TrBNN d Time of peak in {r} band in MJD, Bayesian Neural Networks (BBM) (timesrbnn) (time.epoch)
  g+rmagNNdk mag Magnitude of peak in {g} + {r} bands, Multilayer Perceptron implemented (MLP) implemented using scikit-learn (magnitudessumnn_sk) (phot.mag;em.opt)
  Fg+rNNdk mJy Flux of peak in {g} + {r} bands, Multilayer Perceptron implemented (MLP) implemented using scikit-learn (fluxessumnn_sk) (phot.flux.density;em.opt)
  Tg+rNNdk d Time of peak in {g} + {r} bands in MJD, Multilayer Perceptron implemented (MLP) implemented using scikit-learn (timessumnn_sk) (time.epoch)
  gmagNNdk mag Magnitude of peak in {g} band, Multilayer Perceptron implemented (MLP) implemented using scikit-learn (magnitudesgnn_sk) (phot.mag;em.opt)
  FgNNdk mJy Flux of peak in {g} band, Multilayer Perceptron implemented (MLP) implemented using scikit-learn (fluxesgnn_sk) (phot.flux.density;em.opt)
  TgNNdk d Time of peak in {g} band in MJD, Multilayer Perceptron implemented (MLP) implemented using scikit-learn (timesgnn_sk) (time.epoch)
  rmagNNdk mag Magnitude of peak in {r} band, Multilayer Perceptron implemented (MLP) implemented using scikit-learn (magnitudesrnn_sk) (phot.mag;em.opt)
  FrNNdk mJy Flux of peak in {r} band, Multilayer Perceptron implemented (MLP) implemented using scikit-learn (fluxesrnn_sk) (phot.flux.density;em.opt)
  TrNNdk d Time of peak in {r} band in MJD, Multilayer Perceptron implemented (MLP) implemented using scikit-learn (timesrnn_sk) (time.epoch)
  g+rmagNNpt mag Magnitude of peak in {g} + {r} bands, Multilayer Perceptron implemented (MLP) (magnitudessumnn_pt) (phot.mag;em.opt)
  Fg+rNNpt mJy Flux of peak in {g} + {r} bands, Multilayer Perceptron implemented (MLP) implemented using pytorch (fluxessumnn_pt) (phot.flux.density;em.opt)
  Tg+rNNpt d Time of peak in {g} + {r} bands in MJD, Multilayer Perceptron implemented (MLP) implemented using pytorch (timessumnn_pt) (time.epoch)

ALL cols		    
 (i)indexed column
  gmagNNpt mag Magnitude of peak in {g} band, Multilayer Perceptron implemented (MLP) implemented using pytorch (magnitudesgnn_pt) (phot.mag;em.opt)
  FgNNpt mJy Flux of peak in {g} band, Multilayer Perceptron implemented (MLP) implemented using pytorch (fluxesgnn_pt) (phot.flux.density;em.opt)
  TgNNpt d Time of peak in {g} band in MJD, Multilayer Perceptron implemented (MLP) implemented using pytorch, (timesgnn_pt) (time.epoch)
  rmagNNpt mag Magnitude of peak in {r} band, Multilayer Perceptron implemented (MLP) implemented using pytorch (magnitudesrnn_pt) (phot.mag;em.opt)
  FrNNpt mJy Flux of peak in {r} band, Multilayer Perceptron implemented (MLP) implemented using pytorch (fluxesrnn_pt) (phot.flux.density;em.opt)
  TrNNpt d Time of peak in {r} band in MJD, Multilayer Perceptron implemented (MLP) implemented using pytorch (timesrnn_pt) (time.epoch)
  g+rmagNF mag Magnitude of peak in {g} + {r} bands, Normalizing Flows (NF) (magnitudessumnf) (phot.mag;em.opt)
  Fg+rNF mJy Flux of peak in {g} + {r} bands, Normalizing Flows (NF) (fluxessumnf) (phot.flux.density;em.opt)
  Tg+rNF d Time of peak in {g} + {r} bands in MJD, Normalizing Flows (NF) (timessumnf) (time.epoch)
  gmagNF mag Magnitude of peak in {g} band, Normalizing Flows (NF) (magnitudesgnf) (phot.mag;em.opt)
  FgNF mJy Flux of peak in {g} band, Normalizing Flows (NF) (fluxesgnf) (phot.flux.density;em.opt)
  TgNF d Time of peak in {g} band in MJD, Normalizing Flows (NF) (timesgnf) (time.epoch)
  rmagNF mag Magnitude of peak in {r} band, Normalizing Flows (NF) (magnitudesrnf) (phot.mag;em.opt)

ALL cols		    
 (i)indexed column
  FrNF mJy Flux of peak in {r} band, Normalizing Flows (NF) (fluxesrnf) (phot.flux.density;em.opt)
  TrNF d Time of peak in {r} band in MJD, Normalizing Flows (NF) (timesrnf) (time.epoch)
  g+rmagGP mag Magnitude of peak in {g} + {r} bands, Gaussian Processes (GP) (magnitudessumgp) (phot.mag;em.opt)
  Fg+rGP mJy Flux of peak in {g} + {r} bands, Gaussian Processes (GP) (fluxessumgp) (phot.flux.density;em.opt)
  Tg+rGP d Time of peak in {g} + {r} bands in MJD, Gaussian Processes (GP) (timessumgp) (time.epoch)
  gmagGP mag Magnitude of peak in {g} band, Gaussian Processes (GP) (magnitudesggp) (phot.mag;em.opt)
  FgGP mJy Flux of peak in {g} band, Gaussian Processes (GP) (fluxesggp) (phot.flux.density;em.opt)
  TgGP d Time of peak in {g} band in MJD, Gaussian Processes (GP) (timesggp) (time.epoch)
  rmagGP mag Magnitude of peak in {r} band, Gaussian Processes (GP) (magnitudesrgp) (phot.mag;em.opt)
  FrGP mJy Flux of peak in {r} band, Gaussian Processes (GP) (fluxesrgp) (phot.flux.density;em.opt)
  TrGP d Time of peak in {r} band in MJD, Gaussian Processes (GP) (timesrgp) (time.epoch)

ALL cols		    
 (i)indexed column
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