Newform data - 9.22.a.d

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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': 4356, 'analytic_conductor': 25.152960985835588, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -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': [9, 1, [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': [[2, [-2844, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510799251210249, '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': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '9.22.a.d', 'level': 9, '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': [3], 'level_radical': 3, 'minimal_twist': '3.22.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2844q^{2}+5991184q^{4}-3109950q^{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': '9.22.a', 'trace_display': [2844, 0, -3109950, 363303920], 'trace_hash': 2092231364080557061, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.034', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.006', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.044', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.011', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.070', 'prec': 7}, {'__RealLiteral__': 0, 'data': '5.073', 'prec': 14}], 'trace_zratio': 0, 'traces': [1, 2844, 0, 5991184, -3109950, 0, 363303920, 11074627008, 0, -8844697800, -14581833156, 0, 113350790702, 1033236348480, 0, 18931815702784, 8589389597982, 0, -29202939273796, -18632282680800, 0, -41470733495664, 155899214954280, 0, -467165369200625, 322369648756488, 0, 2176620632641280, -2400788707090758, 0, 2239820676947000, 30616907679636480, 0, 24428224016660808, -1129857026004000, 0, -30785069383298890, -83053159294675824, 0, -34441536263529600, 103207571041281030, 0, -165557270617488124, -87362445494896704, 0, 443377367329972320, 66587216226477408, 0, -426556125795917607, -1328618310006577500, 0, 679105443641171168, -435422766592881630, 0, 45348772023502200, 4023455404544271360, 0, -6827843082966115752, -5534365798259081316, 0, -7176205164722961202, 6370050005237268000, 0, 47371590276161277952, -352515291543684900, 0, -15755449453068299812, 51460613529196190688, 0, 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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

  
  {'an': [[1], [2844], [0], [5991184], [-3109950], [0], [363303920], [11074627008], [0], [-8844697800], [-14581833156], [0], [113350790702], [1033236348480], [0], [18931815702784], [8589389597982], [0], [-29202939273796], [-18632282680800], [0], [-41470733495664], [155899214954280], [0], [-467165369200625], [322369648756488], [0], [2176620632641280], [-2400788707090758], [0], [2239820676947000], [30616907679636480], [0], [24428224016660808], [-1129857026004000], [0], [-30785069383298890], [-83053159294675824], [0], [-34441536263529600], [103207571041281030], [0], [-165557270617488124], [-87362445494896704], [0], [443377367329972320], [66587216226477408], [0], [-426556125795917607], [-1328618310006577500], [0], [679105443641171168], [-435422766592881630], [0], [45348772023502200], [4023455404544271360], [0], [-6827843082966115752], [-5534365798259081316], [0], [-7176205164722961202], [6370050005237268000], [0], [47371590276161277952], [-352515291543684900], [0], [-15755449453068299812], [51460613529196190688], [0], [-3213313381955376000], [-26457854874259376232], [0], [13471249335464801450], [-87552737326102043160], [0], [-174960182530138214464], [-5297637146360771520], [0], [-16886125085525986840], [-58877000244873100800], [0], [293522332041403249320], [170687980457962587972], [0], [-26712572180244120900], [-470844877636136224656], [0], [-161488363295587477248], [312592486939587043686], [0], [41180786597136151840], [934020882246643067520], [0], [189374042948101748352], [90819680994541870200], [0], [949014545286007636418], [-1213125621763589674308], [0], [-2798873685308877290000]], 'ap': [[2844], [0], [-3109950], [363303920], [-14581833156], [113350790702], [8589389597982], [-29202939273796], [155899214954280], [-2400788707090758], [2239820676947000], [-30785069383298890], [103207571041281030], [-165557270617488124], [66587216226477408], [-435422766592881630], [-5534365798259081316], [-7176205164722961202], [-15755449453068299812], [-26457854874259376232], 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[1371396119055791571372389458439385974], [761769861924461770213796834691677136], [2438474865718672407251683159269669324], [-3888712408446458582448250935923681878], [1884018356556550407987592893024405258], [3207090185966470569754372571743187940], [3487038185133535018934421496860079590], [4309045860363206276526254121216043316], [-3897861933080632260029576377601178936]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 13510799251210249, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '9.22.a.d', 'level': 9, 'maxp': 2999, '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': [3, 5], 'ALdims_eis_new': [0, 1], 'ALdims_eis_old': [2, 1], 'ALdims_old': [6, 5], 'Nk2': 4356, 'analytic_conductor': 25.152960985835588, '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': [9, 1, [2], [1]], 'conrey_index': 1, 'cusp_dim': 19, 'dim': 8, 'eis_dim': 4, 'eis_new_dim': 1, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 369098761, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2], 'label': '9.22.a', 'level': 9, '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': [3], 'level_radical': 3, 'mf_dim': 23, 'mf_new_dim': 9, 'num_forms': 6, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 8, 'sturm_bound': 22, 'trace_bound': 2, 'trace_display': [738, 0, 15764994, -100527428], 'traces': [8, 738, 0, 7749908, 15764994, 0, -100527428, 9551476440, 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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: 5754
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '9.22.a.d', 'source_level': 9, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '3.22.a.a', 'target_level': 3, 'twist_class_label': '3.22.a.a', 'twist_class_level': 3, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 5755
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '9.22.a.d', 'source_level': 9, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '9.22.a.d', 'target_level': 9, 'twist_class_label': '3.22.a.a', 'twist_class_level': 3, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 22}
  • id: 5756
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '9.22.a.d', 'source_level': 9, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '48.22.a.e', 'target_level': 48, 'twist_class_label': '3.22.a.a', 'twist_class_level': 3, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 5757
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '9.22.a.d', 'source_level': 9, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '75.22.a.c', 'target_level': 75, 'twist_class_label': '3.22.a.a', 'twist_class_level': 3, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 22}
  • id: 5758
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '9.22.a.d', 'source_level': 9, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '75.22.b.a', 'target_level': 75, 'twist_class_label': '3.22.a.a', 'twist_class_level': 3, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 38650
    {'charpoly_factorization': [[[-2844, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 2}
  • id: 38651
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 3}
  • id: 38652
    {'charpoly_factorization': [[[3109950, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 5}
  • id: 38653
    {'charpoly_factorization': [[[-363303920, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 7}
  • id: 38654
    {'charpoly_factorization': [[[14581833156, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 11}
  • id: 38655
    {'charpoly_factorization': [[[-113350790702, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 13}
  • id: 38656
    {'charpoly_factorization': [[[-8589389597982, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 17}
  • id: 38657
    {'charpoly_factorization': [[[29202939273796, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 19}
  • id: 38658
    {'charpoly_factorization': [[[-155899214954280, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 23}
  • id: 38659
    {'charpoly_factorization': [[[2400788707090758, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 29}
  • id: 38660
    {'charpoly_factorization': [[[-2239820676947000, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 31}
  • id: 38661
    {'charpoly_factorization': [[[30785069383298890, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 37}
  • id: 38662
    {'charpoly_factorization': [[[-103207571041281030, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 41}
  • id: 38663
    {'charpoly_factorization': [[[165557270617488124, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 43}
  • id: 38664
    {'charpoly_factorization': [[[-66587216226477408, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 47}
  • id: 38665
    {'charpoly_factorization': [[[435422766592881630, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 53}
  • id: 38666
    {'charpoly_factorization': [[[5534365798259081316, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 59}
  • id: 38667
    {'charpoly_factorization': [[[7176205164722961202, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 61}
  • id: 38668
    {'charpoly_factorization': [[[15755449453068299812, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 67}
  • id: 38669
    {'charpoly_factorization': [[[26457854874259376232, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 71}
  • id: 38670
    {'charpoly_factorization': [[[-13471249335464801450, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 73}
  • id: 38671
    {'charpoly_factorization': [[[16886125085525986840, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 79}
  • id: 38672
    {'charpoly_factorization': [[[-170687980457962587972, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 83}
  • id: 38673
    {'charpoly_factorization': [[[-312592486939587043686, 1], 1]], 'hecke_orbit_code': 13510799251210249, 'p': 89}
  • id: 38674
    {'charpoly_factorization': [[[-949014545286007636418, 1], 1]], 'hecke_orbit_code': 13510799251210249, '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': 4, 'label': '9.22.a.d', 'level': 9, 'portrait': 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', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 35671831
    {'hecke_orbit_code': 13510799251210249, 'n': 1, 'trace_an': 1}
  • id: 35671832
    {'hecke_orbit_code': 13510799251210249, 'n': 2, 'trace_an': 2844}
  • id: 35671833
    {'hecke_orbit_code': 13510799251210249, 'n': 3, 'trace_an': 0}
  • id: 35671834
    {'hecke_orbit_code': 13510799251210249, 'n': 4, 'trace_an': 5991184}
  • id: 35671835
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