A Search for Pulsar Companions Around Extremely Low Mass White Dwarfs - 14th BONN workshop
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A Search for Pulsar Companions Around Extremely Low Mass White Dwarfs 14th BONN workshop 17 Feb.2020 Tilemachos M. Athanasiadis Supervisors: Dr. John Antoniadis, Prof. Dr. Michael Kramer
• Usually • Single star evolution needs more than a Hubble time to create a LMWD • 50% of the LMWDs of ~0.4M☉ are expected to exist in binaries or ELM WDs should exist • Possible dark companions: • Another WD • Black hole • Optical surveys have discovered LMWDs and through optical spectroscopy orbital parameters are measured.
LMWD+MSPs are ideal for through timing of the MSP and optical spectroscopy of the LMWD (for example Antoniadis et al. 2013). Very few NS mass measurements are currently available. Observational among the double-degenerate population. This information is a crucial missing input in stellar- evolution and population synthesis models.
Outline PROJECTS ELM follow-up Survey Effelsberg GAIA follow-up Survey Effelsberg GAIA follow-up Survey Arecibo
• ELM survey target selection: • Sloan Digital Sky Survey (SDSS) photometric catalog by color. • Objects with • Our target selection: • ELM WDs in binaries with a dark companion with mass > 0.8M☉. for MSP companions observed by M. Berezina & L. Spitler (Effelsberg-2014) • For these systems there are also spectroscopic observations .
90 min 30 min Porb*10% • The 3 most compact systems was observed for 90 minutes each. J0751-0141 J+A J+A A • 5 systems was observed multiple times J0755+4800 n.o. A - for 30 minutes per session. • SIGPROC: Acceleration (A) and/or Jerk J0755+4906 J+A J+A A (J) search applied based on the orbital period. J0811+0225 n.o. A - • Acceleration and jerk range based on each system J1233+1602 n.o. J+A A • DM range: 0-100 (calc. based on NE2001) J1443+1509 n.o. J+A A J1741+6526 J+A J+A A J2132+0754 n.o. A - Our SIGPROC-PRESTO pipeline are based on the HTRU-N pipeline (M. Cruces)
• Inject simulated pulsar signals into real Effelsberg noise. • We have used that tool to have a better understanding of the sensitivity of our survey. • ~0.1 mJy error before RFI mitigation • ~0.05 mJy error after RFI mitigation
We simulate 10000 MONTE CARLO SIMULATION OF companions for COMPANIONS FOR EACH SYSTEM every LMWD in a specific distance d assuming a (GAIA) percentance of NSs within the using random Luminosity (Svd2) from distribution companions based on (Gonthier 2018) the mass function Flux density Sv using random Pspin from Flux density Sv Compare Sv with the survey distribution (Lorimer 2015) Spin period Ps sensitivity as function of Ps using a beaming fraction Flux density Sv model Spin period Ps (Tauris & Manchester 1998) Beaming DETECTION RATE Assumption: The acceleration range that we use in Probability for each our search is enough to detect the systems that we are looking for. system to host a NS.
Flux Density (mJy) Flux Density (mJy) Athanasiadis et al. 2020A
Probability of PNS PNS detection mass func after obs Athanasiadis et al. 2020A
Precise proper motions for 1.5 billion objects in the Galaxy. ~500,000 WDs with hydrogen atmospheres, ~30,000 LMWDs with M < 0.25 solar masses EFFELSBERG GAIA FOLLOW UP SURVEY Well known and small distances (
Athanasiadis et al. 2020b NS fraction is the percentance of the LMWD/NS binaries compared to other double GAIA follow up survey degenerate binaries. 104 targets Upper limit: Binomial distribution: PNS < 0.031 L ~ (1 Pdet PNS ) N Upper limit based on van Leewen et al. ELM follow up survey 2007: 8 targets Upper limit: 1 1 / 2 1/ N PNS < 0.35 PNS 0.0073 GAIA Pdet survey 1 1 / 2 1/ N ELM PNS 0.09 Pdet survey
• We have strong motivation to search for radio pulsars at the positions of low mass white dwarfs. • Both detections and non-detections are useful: • Detection > Precise NS mass measurements • Non-detections > Constraints on the LMWD/NS population • Survey sensitivity, beaming fraction and distance are the most important factors regarding the detection rate. • Based on our results, we expect the fraction of LMWD/NS systems to be close to zero and not higher than ~3%.
TARGET SELECTION: High tranverse velocities High galactic latitudes Cross-matched with 3FGL Fermi catalog (
THANK YOU
BACKUP SLIDES
Beaming fraction model for MSPs MSPs are considered to have large beaming fraction values Tauris & Manchester (1998) Consistent with Kramer et al 1999 MSPs
• Pdet= NMSPs/NNS Athanasiadis et al. 2020 • We simulate a population of NS companions for a LMWD in different (well known) parallaxes. • We calculate how many pulsars the survey would have detected. • For systems with parallax higher than 0.5 mas (d
• For each NS companion (MSP candidate), we assume a random: from a spin distribution based on Lorimer 2015. based on Tauris & Manchester 1998. (based on Gonthier et al. 2018) within the distance error based on GAIA DR2. MSPs • From the Luminosity (L) and distance (r) we calculate the : (L/4πr2) • Comparing the flux density with the sensitivity of the survey provide us with the Lorimer (2008)
Athanasiadis et al. (paper A) Athanasiadis et al. (paper A)
Li et al. 2019 Li et al. 2019
• Possible companions of LMWDs: • Another WD • Neutron star • Black hole • No hydrogen shell flashes occur during the ELM WD cooling stage in contrast with more massive WDs. • In the latter case the hydrogen-rich envelope is loosing mass, therefore they have thiner envelopes. • WDs have thicker envelopes which allow for significantly higher stable hydrogen burning rates, • ELM WDs are much more luminous than their more massive companions (Driebe et al. 1999).
Athanasiadis et al. (paper A)
Athanasiadis et al. (paper A)
EFFELSBERG GAIA FOLLOW UP SURVEY Telescope Effelsberg Radio Telescope The DATA are archived and easily accesible on HERCULES cluster. Receiver 7-beam receiver (21 cm) Useful scripts for easy retrieval and reprocessing Targets 104 selected GAIA white dwarfs Obs. time 2x30 min Sensitivity 0.125 mJy Acceleration-Jerk on 30 min observ. Acceleration search on 10 min FFA with acceleration search observations (in coop. with T. Gautam) Sensitive to systems with Porb > 5 hours Sensitive to systems with Period range: Porb > 1,6 hours 0.5-30 seconds Acceleration range: ± 100 km/s2 Acceleration range: ± 500 km/s2 random discoveries Jerk range: ± 4cm/s3 DM range: 0-2000 Single pulse search (PRESTO) DM range: 0-2000 Our SIGPROC-PRESTO pipelines are based on the HTRU-N pipeline (M. Cruces)
Test pulsars Known MSPS-WD systems observed as tests of the pipeline: Binary Period DM P_orb S1400 (ms) (pc*cm^-3) (hours) (mJy) J2053+4650 12.58 98.08 2.4 J1738+0333 5.85 33.77 8.5 0.67 J0751+1807 3.47 30.24 6.3 3.2 J0348+0432 3.9 40.46 2.4
Acceleration range We need to be sure that the acceleration range that we use is enough for the objects that we are looking for. (Handbook, Lorimer & Kramer) Acceleration range depends on masses and the orbital period: Red: MSP+WD (1+0.25 solar masses) Green: NS+NS (1+2 solar masses) Black: BH+BH (10+10 solar masses) Athanasiadis et al. 2019 (in prep.)
Expected Orbital Periods (MSPs+He WDs) Tauris et al. 1999
ARECIBO OBSERVATIONS PART II Graphical example of our selection method. Clustering based on a gaussian mixture model based on their transverse velocity and galactic latitude. Our algorithm clusters nearby GAIA LMWDs into 4 distinct in the galactic latitute/velocity plane. Known MSPs (in green) belong exclusively in two of these clusters.
Luminosity distribution for MSPs Based on all-sky surveys carried out in the 90s and for pulsars observed at 430 MHz within 1.5 kpc of the Sun. Severe undersampling of low- luminosity pulsars. The observed (dashed line) and corrected (solid line) luminosity distribution for MSPs. Power law with a slope of -1 Lorimer 2008
• For every system: • Known parameters: orbital period, mass function • For random orientations: MC simulation of companions neutron stars 1.4 < M < 2.5 Ozel & Freire 2016 Athanasiadis et al. (paper A)
Spin Period distribution for MSPs It's important to simulate accurately the spin period distribution We can compare with the sensitivity in specific spin periods. This distribution is gaussian centered at 4 ms Tauris 2015
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