Embedded newform data - 25.9.f.a.2.18

Formats: - HTML - YAML - JSON - 2024-06-06T23:44:53.449694

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 2025, 'analytic_conductor': 10.18446525152818, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 25, 'char_degree': 8, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 20, 'char_parity': -1, 'char_values': [25, 20, [2], [1]], 'cm_discs': [], 'conrey_index': 2, 'dim': 152, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 343748378649, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 25, 6, -1, 20, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '25.9.f.a', 'level': 25, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [5], 'level_radical': 5, 'minimal_twist': '25.9.f.a', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 19, 'rm_discs': [], 'sato_tate_group': '8.2.3.c20', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '25.9.f', 'trace_display': [-8, 62, -230, 2342], 'traces': [152, -8, 62, -10, -230, -6, 2342, 8210, -10, -30880, -6, 45902, 119132, -10, -241450, 524282, -105158, 454052, 718890, 340370, -6, -1986746, -899198, 0, 2032310, -913936, 1904300, -998002, -1956910, -4500490, -6, -3033938, 1003994, 10303990, 4124560, -8100358, 9534392, -14259280, -22510410, -4123060, -4374726, 52199634, 13583342, -2138860, -33978380, -6, -11197058, -32869688, 0, 13239250, -16, 93509212, 53717512, 57025140, -14642290, -262150, -93310490, -97437640, 24222740, -66375070, -18369126, 6782124, 96012652, 112817140, 89469970, 6718458, 74549142, -62262702, -128418860, -177099410, 60703854, -444425220, -171988248, 0, 257329110, -262160, 292751454, 385000804, 138506190, 245270230, 110809772, -73650066, -663197528, -1517250010, -616093620, -6, 494144820, 1287340030, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.02940750936119462, 0.029905311283170647, 0.074967626603079, 0.047811417898455014, -0.4329169130730943, -0.3303998139341253, -0.3511954917351952, -0.39755748141545744, -0.2907386029107374, -0.4108147059707276, 0.013828654282190178, -0.4522048687542572, -0.3972897543767508, -0.25828843377991, -0.20567951267427192, -0.055653838689430656, -0.41252375722849804], 'char_orbit_index': 6, 'conrey_index': 2, 'dual_conrey_index': 13, 'dual_embedding_index': 18, 'dual_embedding_m': 94, 'embedding_index': 18, 'embedding_m': 18, 'hecke_orbit': 1, 'hecke_orbit_code': 343748378649, 'label': '25.9.f.a.2.18', 'level': 25, 'weight': 9}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 2025, 'analytic_conductor': 10.18446525152818, 'char_conductor': 25, 'char_degree': 8, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 20, 'char_parity': -1, 'char_values': [25, 20, [2], [1]], 'conrey_index': 2, 'cusp_dim': 152, 'dim': 152, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_cutter_primes': [], 'hecke_orbit_code': 343748378649, 'hecke_orbit_dims': [152], 'label': '25.9.f', 'level': 25, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [5], 'level_radical': 5, 'mf_dim': 168, 'mf_new_dim': 168, 'num_forms': 1, 'prim_orbit_index': 6, 'relative_dim': 19, 'sturm_bound': 22, 'trace_bound': 0, 'trace_display': [-8, 62, -230, 2342], 'traces': [152, -8, 62, -10, -230, -6, 2342, 8210, -10, -30880, -6, 45902, 119132, -10, -241450, 524282, -105158, 454052, 718890, 340370, -6, -1986746, -899198, 0, 2032310, 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• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 3727435
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 2, 'source_dim': 152, 'source_embedding_index': 18, 'source_hecke_orbit_code': 343748378649, 'source_is_minimal': True, 'source_label': '25.9.f.a.2.18', 'source_level': 25, 'target_conrey_index': 2, 'target_dim': 152, 'target_embedding_index': 18, 'target_hecke_orbit_code': 343748378649, 'target_is_minimal': True, 'target_label': '25.9.f.a.2.18', 'target_level': 25, 'twist_class_label': '25.9.f.a.2.18', 'twist_class_level': 25, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 9}
  • id: 3727436
    {'conductor': 25, 'degree': 8, 'order': 20, 'parity': -1, 'source_conrey_index': 2, 'source_dim': 152, 'source_embedding_index': 18, 'source_hecke_orbit_code': 343748378649, 'source_is_minimal': True, 'source_label': '25.9.f.a.2.18', 'source_level': 25, 'target_conrey_index': 13, 'target_dim': 152, 'target_embedding_index': 18, 'target_hecke_orbit_code': 343748378649, 'target_is_minimal': True, 'target_label': '25.9.f.a.13.18', 'target_level': 25, 'twist_class_label': '25.9.f.a.2.18', 'twist_class_level': 25, 'twisting_char_label': '25.13', 'twisting_conrey_index': 13, 'weight': 9}
• hecke_orbit_code 343748378649 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 6, 'hecke_orbit': 1, 'label': '25.9.f.a', 'level': 25, 'portrait': 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', 'weight': 9}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 8550702
    {'hecke_orbit_code': 343748378649, 'n': 1, 'trace_an': 152}
  • id: 8550703
    {'hecke_orbit_code': 343748378649, 'n': 2, 'trace_an': -8}
  • id: 8550704
    {'hecke_orbit_code': 343748378649, 'n': 3, 'trace_an': 62}
  • id: 8550705
    {'hecke_orbit_code': 343748378649, 'n': 4, 'trace_an': -10}
  • id: 8550706
    {'hecke_orbit_code': 343748378649, 'n': 5, 'trace_an': -230}
  • id: 8550707
    {'hecke_orbit_code': 343748378649, 'n': 6, 'trace_an': -6}
  • id: 8550708
    {'hecke_orbit_code': 343748378649, 'n': 7, 'trace_an': 2342}
  • id: 8550709
    {'hecke_orbit_code': 343748378649, 'n': 8, 'trace_an': 8210}
  • id: 8550710
    {'hecke_orbit_code': 343748378649, 'n': 9, 'trace_an': -10}
  • id: 8550711
    {'hecke_orbit_code': 343748378649, 'n': 10, 'trace_an': -30880}
  • id: 8550712
    {'hecke_orbit_code': 343748378649, 'n': 11, 'trace_an': -6}
  • id: 8550713
    {'hecke_orbit_code': 343748378649, 'n': 12, 'trace_an': 45902}
  • id: 8550714
    {'hecke_orbit_code': 343748378649, 'n': 13, 'trace_an': 119132}
  • id: 8550715
    {'hecke_orbit_code': 343748378649, 'n': 14, 'trace_an': -10}
  • id: 8550716
    {'hecke_orbit_code': 343748378649, 'n': 15, 'trace_an': -241450}
  • id: 8550717
    {'hecke_orbit_code': 343748378649, 'n': 16, 'trace_an': 524282}
  • id: 8550718
    {'hecke_orbit_code': 343748378649, 'n': 17, 'trace_an': -105158}
  • id: 8550719
    {'hecke_orbit_code': 343748378649, 'n': 18, 'trace_an': 454052}
  • id: 8550720
    {'hecke_orbit_code': 343748378649, 'n': 19, 'trace_an': 718890}
  • id: 8550721
    {'hecke_orbit_code': 343748378649, 'n': 20, 'trace_an': 340370}
  • id: 8550722
    {'hecke_orbit_code': 343748378649, 'n': 21, 'trace_an': -6}
  • id: 8550723
    {'hecke_orbit_code': 343748378649, 'n': 22, 'trace_an': -1986746}
  • id: 8550724
    {'hecke_orbit_code': 343748378649, 'n': 23, 'trace_an': -899198}
  • id: 8550725
    {'hecke_orbit_code': 343748378649, 'n': 24, 'trace_an': 0}
  • id: 8550726
    {'hecke_orbit_code': 343748378649, 'n': 25, 'trace_an': 2032310}
  • id: 8550727
    {'hecke_orbit_code': 343748378649, 'n': 26, 'trace_an': -913936}
  • id: 8550728
    {'hecke_orbit_code': 343748378649, 'n': 27, 'trace_an': 1904300}
  • id: 8550729
    {'hecke_orbit_code': 343748378649, 'n': 28, 'trace_an': -998002}
  • id: 8550730
    {'hecke_orbit_code': 343748378649, 'n': 29, 'trace_an': -1956910}
  • id: 8550731
    {'hecke_orbit_code': 343748378649, 'n': 30, 'trace_an': -4500490}
  • id: 8550732
    {'hecke_orbit_code': 343748378649, 'n': 31, 'trace_an': -6}
  • id: 8550733
    {'hecke_orbit_code': 343748378649, 'n': 32, 'trace_an': -3033938}
  • id: 8550734
    {'hecke_orbit_code': 343748378649, 'n': 33, 'trace_an': 1003994}
  • id: 8550735
    {'hecke_orbit_code': 343748378649, 'n': 34, 'trace_an': 10303990}
  • id: 8550736
    {'hecke_orbit_code': 343748378649, 'n': 35, 'trace_an': 4124560}
  • id: 8550737
    {'hecke_orbit_code': 343748378649, 'n': 36, 'trace_an': -8100358}
  • id: 8550738
    {'hecke_orbit_code': 343748378649, 'n': 37, 'trace_an': 9534392}
  • id: 8550739
    {'hecke_orbit_code': 343748378649, 'n': 38, 'trace_an': -14259280}
  • id: 8550740
    {'hecke_orbit_code': 343748378649, 'n': 39, 'trace_an': -22510410}
  • id: 8550741
    {'hecke_orbit_code': 343748378649, 'n': 40, 'trace_an': -4123060}
  • id: 8550742
    {'hecke_orbit_code': 343748378649, 'n': 41, 'trace_an': -4374726}
  • id: 8550743
    {'hecke_orbit_code': 343748378649, 'n': 42, 'trace_an': 52199634}
  • id: 8550744
    {'hecke_orbit_code': 343748378649, 'n': 43, 'trace_an': 13583342}
  • id: 8550745
    {'hecke_orbit_code': 343748378649, 'n': 44, 'trace_an': -2138860}
  • id: 8550746
    {'hecke_orbit_code': 343748378649, 'n': 45, 'trace_an': -33978380}
  • id: 8550747
    {'hecke_orbit_code': 343748378649, 'n': 46, 'trace_an': -6}
  • id: 8550748
    {'hecke_orbit_code': 343748378649, 'n': 47, 'trace_an': -11197058}
  • id: 8550749
    {'hecke_orbit_code': 343748378649, 'n': 48, 'trace_an': -32869688}
  • id: 8550750
    {'hecke_orbit_code': 343748378649, 'n': 49, 'trace_an': 0}
  • id: 8550751
    {'hecke_orbit_code': 343748378649, 'n': 50, 'trace_an': 13239250}
  • id: 8550752
    {'hecke_orbit_code': 343748378649, 'n': 51, 'trace_an': -16}
  • id: 8550753
    {'hecke_orbit_code': 343748378649, 'n': 52, 'trace_an': 93509212}
  • id: 8550754
    {'hecke_orbit_code': 343748378649, 'n': 53, 'trace_an': 53717512}
  • id: 8550755
    {'hecke_orbit_code': 343748378649, 'n': 54, 'trace_an': 57025140}
  • id: 8550756
    {'hecke_orbit_code': 343748378649, 'n': 55, 'trace_an': -14642290}
  • id: 8550757
    {'hecke_orbit_code': 343748378649, 'n': 56, 'trace_an': -262150}
  • id: 8550758
    {'hecke_orbit_code': 343748378649, 'n': 57, 'trace_an': -93310490}
  • id: 8550759
    {'hecke_orbit_code': 343748378649, 'n': 58, 'trace_an': -97437640}
  • id: 8550760
    {'hecke_orbit_code': 343748378649, 'n': 59, 'trace_an': 24222740}
  • id: 8550761
    {'hecke_orbit_code': 343748378649, 'n': 60, 'trace_an': -66375070}
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  • id: 8550954
    {'hecke_orbit_code': 343748378649, 'n': 967, 'trace_an': 9831919529592}
  • id: 8550955
    {'hecke_orbit_code': 343748378649, 'n': 971, 'trace_an': 2992392130914}
  • id: 8550956
    {'hecke_orbit_code': 343748378649, 'n': 977, 'trace_an': -2771467560458}
  • id: 8550957
    {'hecke_orbit_code': 343748378649, 'n': 983, 'trace_an': -8692344233378}
  • id: 8550958
    {'hecke_orbit_code': 343748378649, 'n': 991, 'trace_an': -6827714701546}
  • id: 8550959
    {'hecke_orbit_code': 343748378649, 'n': 997, 'trace_an': -10134090025358}