Newform data - 2.22.a.b

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• 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': 968, 'analytic_conductor': 5.589546885741242, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1]], 'atkin_lehner_string': '-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2, 1, [], []], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-59316, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599996469250, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2.22.a.b', 'level': 2, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '2.22.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{10}q^{2}+59316q^{3}+2^{20}q^{4}+4975350q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '21.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2.22.a', 'trace_display': [1024, 59316, 4975350, 1427425832], 'trace_hash': 1815641798196835711, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.969', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.016', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.882', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.055', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.616', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 1024, 59316, 1048576, 4975350, 60739584, 1427425832, 1073741824, -6941965347, 5094758400, -106767894948, 62197334016, -150150565474, 1461684051968, 295117860600, 1099511627776, -11203980739758, -7108572515328, 11024055955460, 5217032601600, 84669190650912, -109330324426752, 129502845739896, 63690070032384, -452083050580625, -153754179045376, -1032235927111800, 1496764469215232, 2382370826608110, 302200689254400, -878552957377888, 1125899906842624, -6333044456735568, -11472876277512192, 7101943113241200, -7279178255695872, 31130005856560022, 11288633298391040, -8906330941655784, 5342241384038400, -24612925945718838, 86701251226533888, -133386119963316484, -111954252212994048, -34538707289196450, 132610914037653504, -192524017446421008, 65218631713161216, 1478998641777608217, -462933043794560000, -664575321559485528, -157444279342465024, -594166360130841114, -1057009589362483200, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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[2590418316604610753856649296930], [5296906657506182405450007161162], [13875723307588924276636889714622], [-8168784549400910086999400937948], [20251602457390610908331731338906], [13425092573534806064986882969832], [41105926239040071899464327334172], [3607720118671387839827422124562], [36264579998218564801542944504376], [-23884552986326979604663260815008], [53403218695913186637955274896982]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 4503599996469250, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '2.22.a.b', 'level': 2, 'maxp': 997, 'weight': 22}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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

  
  {'ALdims': [1, 1], 'ALdims_eis_new': [0, 0], 'ALdims_eis_old': [1, 1], 'ALdims_old': [1, 1], 'Nk2': 968, 'analytic_conductor': 5.589546885741242, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2, 1, [], []], 'conrey_index': 1, 'cusp_dim': 4, 'dim': 2, 'eis_dim': 2, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 369098754, 'hecke_orbit_dims': [1, 1], 'label': '2.22.a', 'level': 2, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 6, 'mf_new_dim': 2, 'num_forms': 2, 'plus_dim': 1, 'prim_orbit_index': 1, 'relative_dim': 2, 'sturm_bound': 5, 'trace_bound': 2, 'trace_display': [0, 130920, -23718420, 574223440], 'traces': [2, 0, 130920, 2097152, -23718420, -12582912, 574223440, 0, 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• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 389
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2.22.a.b', 'source_level': 2, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '2.22.a.b', 'target_level': 2, 'twist_class_label': '2.22.a.b', 'twist_class_level': 2, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 22}
  • id: 390
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2.22.a.b', 'source_level': 2, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '16.22.a.b', 'target_level': 16, 'twist_class_label': '2.22.a.b', 'twist_class_level': 2, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 391
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2.22.a.b', 'source_level': 2, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '18.22.a.b', 'target_level': 18, 'twist_class_label': '2.22.a.b', 'twist_class_level': 2, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 392
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2.22.a.b', 'source_level': 2, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '50.22.a.a', 'target_level': 50, 'twist_class_label': '2.22.a.b', 'twist_class_level': 2, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 393
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2.22.a.b', 'source_level': 2, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '50.22.b.c', 'target_level': 50, 'twist_class_label': '2.22.a.b', 'twist_class_level': 2, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 22}
  • id: 394
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2.22.a.b', 'source_level': 2, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '64.22.a.c', 'target_level': 64, 'twist_class_label': '2.22.a.b', 'twist_class_level': 2, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 395
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '2.22.a.b', 'source_level': 2, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '64.22.a.e', 'target_level': 64, 'twist_class_label': '2.22.a.b', 'twist_class_level': 2, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3350
    {'charpoly_factorization': [[[-1024, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 2}
  • id: 3351
    {'charpoly_factorization': [[[-59316, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 3}
  • id: 3352
    {'charpoly_factorization': [[[-4975350, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 5}
  • id: 3353
    {'charpoly_factorization': [[[-1427425832, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 7}
  • id: 3354
    {'charpoly_factorization': [[[106767894948, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 11}
  • id: 3355
    {'charpoly_factorization': [[[150150565474, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 13}
  • id: 3356
    {'charpoly_factorization': [[[11203980739758, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 17}
  • id: 3357
    {'charpoly_factorization': [[[-11024055955460, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 19}
  • id: 3358
    {'charpoly_factorization': [[[-129502845739896, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 23}
  • id: 3359
    {'charpoly_factorization': [[[-2382370826608110, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 29}
  • id: 3360
    {'charpoly_factorization': [[[878552957377888, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 31}
  • id: 3361
    {'charpoly_factorization': [[[-31130005856560022, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 37}
  • id: 3362
    {'charpoly_factorization': [[[24612925945718838, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 41}
  • id: 3363
    {'charpoly_factorization': [[[133386119963316484, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 43}
  • id: 3364
    {'charpoly_factorization': [[[192524017446421008, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 47}
  • id: 3365
    {'charpoly_factorization': [[[594166360130841114, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 53}
  • id: 3366
    {'charpoly_factorization': [[[2955954134483673780, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 59}
  • id: 3367
    {'charpoly_factorization': [[[-7984150090052846222, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 61}
  • id: 3368
    {'charpoly_factorization': [[[-4837041486709240052, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 67}
  • id: 3369
    {'charpoly_factorization': [[[-8849017338933008232, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 71}
  • id: 3370
    {'charpoly_factorization': [[[-36684416180434869866, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 73}
  • id: 3371
    {'charpoly_factorization': [[[-33840609578636773520, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 79}
  • id: 3372
    {'charpoly_factorization': [[[-204214536301552085316, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 83}
  • id: 3373
    {'charpoly_factorization': [[[41024056743692272710, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 89}
  • id: 3374
    {'charpoly_factorization': [[[727592440524100077598, 1], 1]], 'hecke_orbit_code': 4503599996469250, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 2, 'label': '2.22.a.b', 'level': 2, 'portrait': 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', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 20002806
    {'hecke_orbit_code': 4503599996469250, 'n': 1, 'trace_an': 1}
  • id: 20002807
    {'hecke_orbit_code': 4503599996469250, 'n': 2, 'trace_an': 1024}
  • id: 20002808
    {'hecke_orbit_code': 4503599996469250, 'n': 3, 'trace_an': 59316}
  • id: 20002809
    {'hecke_orbit_code': 4503599996469250, 'n': 4, 'trace_an': 1048576}
  • id: 20002810
    {'hecke_orbit_code': 4503599996469250, 'n': 5, 'trace_an': 4975350}
  • id: 20002811
    {'hecke_orbit_code': 4503599996469250, 'n': 6, 'trace_an': 60739584}
  • id: 20002812
    {'hecke_orbit_code': 4503599996469250, 'n': 7, 'trace_an': 1427425832}
  • id: 20002813
    {'hecke_orbit_code': 4503599996469250, 'n': 8, 'trace_an': 1073741824}
  • id: 20002814
    {'hecke_orbit_code': 4503599996469250, 'n': 9, 'trace_an': -6941965347}
  • id: 20002815
    {'hecke_orbit_code': 4503599996469250, 'n': 10, 'trace_an': 5094758400}
  • id: 20002816
    {'hecke_orbit_code': 4503599996469250, 'n': 11, 'trace_an': -106767894948}
  • id: 20002817
    {'hecke_orbit_code': 4503599996469250, 'n': 12, 'trace_an': 62197334016}
  • id: 20002818
    {'hecke_orbit_code': 4503599996469250, 'n': 13, 'trace_an': -150150565474}
  • id: 20002819
    {'hecke_orbit_code': 4503599996469250, 'n': 14, 'trace_an': 1461684051968}
  • id: 20002820
    {'hecke_orbit_code': 4503599996469250, 'n': 15, 'trace_an': 295117860600}
  • id: 20002821
    {'hecke_orbit_code': 4503599996469250, 'n': 16, 'trace_an': 1099511627776}
  • id: 20002822
    {'hecke_orbit_code': 4503599996469250, 'n': 17, 'trace_an': -11203980739758}
  • id: 20002823
    {'hecke_orbit_code': 4503599996469250, 'n': 18, 'trace_an': -7108572515328}
  • id: 20002824
    {'hecke_orbit_code': 4503599996469250, 'n': 19, 'trace_an': 11024055955460}
  • id: 20002825
    {'hecke_orbit_code': 4503599996469250, 'n': 20, 'trace_an': 5217032601600}
  • id: 20002826
    {'hecke_orbit_code': 4503599996469250, 'n': 21, 'trace_an': 84669190650912}
  • id: 20002827
    {'hecke_orbit_code': 4503599996469250, 'n': 22, 'trace_an': -109330324426752}
  • id: 20002828
    {'hecke_orbit_code': 4503599996469250, 'n': 23, 'trace_an': 129502845739896}
  • id: 20002829
    {'hecke_orbit_code': 4503599996469250, 'n': 24, 'trace_an': 63690070032384}
  • id: 20002830
    {'hecke_orbit_code': 4503599996469250, 'n': 25, 'trace_an': -452083050580625}
  • id: 20002831
    {'hecke_orbit_code': 4503599996469250, 'n': 26, 'trace_an': -153754179045376}
  • id: 20002832
    {'hecke_orbit_code': 4503599996469250, 'n': 27, 'trace_an': -1032235927111800}
  • id: 20002833
    {'hecke_orbit_code': 4503599996469250, 'n': 28, 'trace_an': 1496764469215232}
  • id: 20002834
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