Difference: CosmoTelecon2021mar17 (1 vs. 2)

Revision 22021-03-17 - MathewSmith

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META TOPICPARENT name="CosmoTelecons"

ZTF Ia Phone-con: 2021-Mar-17

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  1. SNe of the week [Joel J]
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2. The status of DESI [Suhail D]
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2. Spectroscopic Classifications [Young-Lo K]
 
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3. Machine Learning with ZTF [Nicolas]
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3. Machine Learning with ZTF [Nicolas M]
 
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4. Spectroscopic Classifications [Young-Lo K]
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4. The status of DESI [Suhail D]
  5. AOB / Close
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Participants (XX):
  • Mickael R, Mat S, Young-Lo K, Martin B (Lyon), Joel J, Ariel G, Suhail D, Mattia B, Ana S-C(Stockholm), Kate M, Jacco T, Luke H, Maxime D, Mark M (Trinity), Melissa A, Philippe R, Manu G (Cleremont), Bastien C, Benjamin R (Marseille), Nicolas R (Paris)
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Participants (22):

  • Mickael R, Mat S, Young-Lo K, Martin B (Lyon), Joel J, Ariel G, Suhail D, Mattia B, Ana S-C (Stockholm), Maxime D (Trinity), Melissa A, Philippe R, Manu G (Cleremont), Jakob N, Nicolas M, Simeon R, Valery B (Berlin), Nicolas R (Paris), Bastien C, Ben R, Julian B (Marseille), Eleni (!)
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Notes:

Transients of the Week:
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Suhail on DESI:
Nicolas on Machine Learning:
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  • It snowed last week.
  • Classifications are now getting routinely reported to TNS
    • It's also annoyingly overwriting the redshifts
    • ZTF21aantxma is a prime example of this
  • Can we get a SEDm spectral series for objects caught early (e.g. ZTF21aaomuka): Joel to talk to Shri and Matthew G
  • Can we do something with 2018 SNe that were actually in 2019. Pre-explosion epochs? These are likely poor subtractions
 
Young-Lo on Spectroscopy:
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  • Looking at how well the SEDm pipeline is producing classifications.
    • What is the effect of CR rejection and background removal?
  • Looking at objects in 2018 and comparing with BCS. Has downloaded all data
    • There are some issues with the contour-separation: the WCS solution is off so the wrong area is excluded. Need to fix this.
  • Looking at two effects: CR rejection (byecr) and Background subtraction (contsep)
  • Needs to quantify fit quality: considering SNID rlap, and fraction of templates.
  • Breaking things down in to monthly segments.
    • The cosmic ray removal is improving all of the fits (inferred through the mean rlap over all objects).
    • The 'failure fraction' (fraction of unclassified spectra) is similar.
    • Need to improve the contsep solutions.
  • In comparing to BCS: compare all subtypes or just Ia's? Maybe also compare with snIascore?
  • Could also add host galaxy information into the fits: combine with Jeremy's code.
  • Questions include: how secure is the cosmic ray selection? 5sigma
  • Drafting a paper
Nicolas on Machine Learning / Photo-typing:
  • Working with Jakob N in Berlin
  • Looking at Sequential Deep Learning and Early Detection for Spectroscopy.
  • Sequential Deep Learning:
    • How can we automatically categorize a transient? This is an ill-posed question: what's the classification metric?
      • Looking at classification of bright sources (<18.5) into types; Ia/non-Ia for faint SNe (>19), and subtyping.
    • Trained on alert photometry, with RCF 2018 sample + AGNs/CVs as truth.
      • No host redshift considered.
      • The dataset is heterogeneous.
      • Fitting in flux-space with a 60 day light-curve.
    • Looking into the RAPID software. Works on sims (Plasticc); not on ZTF data.
      • Written a function to input the data formats, etc.
      • Also adapting the hyperparameters.
      • The training sample is highly unbalanced. Resampling helps.
      • Bright transients are better classified. AGN seem to be well classified.
    • Looking to classify faint objects. Developed a method to simulate faint SNe from bright ones.
    • Can combine classifications to get an ensemble classification: works well, but of course ~40% of objects are then unclassified.
    • All available on github!
    • Thinking about retraining on full ZTF-I sample.
Suhail on DESI:
  • Spoken to Maayanne about a Citizen Science project.
  • The plan is to target the hosts of all transients in DESI-SV.
  • Jakob: the objects are not in the DESI target list.... A change in policy with MOUs. They might get targeted, but we might not know!
  • Need to find some clarity with this!
 
Closing Remarks:
  • Sign up for a talk!

Revision 12021-03-17 - MathewSmith

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META TOPICPARENT name="CosmoTelecons"

ZTF Ia Phone-con: 2021-Mar-17

Meeting Agenda:

1. SNe of the week [Joel J]

2. The status of DESI [Suhail D]

3. Machine Learning with ZTF [Nicolas]

4. Spectroscopic Classifications [Young-Lo K]

5. AOB / Close

Participants (XX):

  • Mickael R, Mat S, Young-Lo K, Martin B (Lyon), Joel J, Ariel G, Suhail D, Mattia B, Ana S-C(Stockholm), Kate M, Jacco T, Luke H, Maxime D, Mark M (Trinity), Melissa A, Philippe R, Manu G (Cleremont), Bastien C, Benjamin R (Marseille), Nicolas R (Paris)

Notes:

Transients of the Week:
Suhail on DESI:
Nicolas on Machine Learning:
Young-Lo on Spectroscopy:
Closing Remarks:
  • Sign up for a talk!
 
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