Embedded newform data - 9200.2.a.bp.1.2

Formats: - HTML - YAML - JSON - 2026-07-25T23:50:24.995284

• 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': 36800, 'analytic_conductor': 73.46236985957795, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, -1], [23, 1]], 'atkin_lehner_string': '--+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [9200, 1, [1151, 6901, 2577, 1201], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 17, 'field_disc_factorization': [[17, 1]], 'field_poly': [-4, -1, 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, [-4, 1, 1]], [7, [-4, 1, 1]], [11, [-1, 1]]], 'hecke_orbit': 42, 'hecke_orbit_code': 184647584755753968, 'hecke_ring_generator_nbound': 3, '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': '9200.2.a.bp', 'level': 9200, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 23], 'level_radical': 230, 'minimal_twist': '1150.2.a.k', 'nf_label': '2.2.17.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta q^{3}+(-1+\\beta )q^{7}+(1+\\beta )q^{9}+q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9200.2.a', 'trace_display': [0, -1, 0, -1], 'trace_hash': 270158903981623388, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.077', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.157', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.026', 'prec': 17}, {'__RealLiteral__': 0, 'data': '66.931', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.011', 'prec': 17}, 'traces': [2, 0, -1, 0, 0, 0, -1, 0, 3, 0, 2, 0, 3, 0, 0, 0, 7, 0, -6, 0, -8, 0, -2, 0, 0, 0, -7, 0, 7, 0, 2, 0, -1, 0, 0, 0, -2, 0, -10, 0, -12, 0, -3, 0, 0, 0, -12, 0, -5, 0, 5, 0, 10, 0, 0, 0, 3, 0, -8, 0, -12, 0, 7, 0, 0, 0, 7, 0, 1, 0, 6, 0, -4, 0, 0, 0, -1, 0, -3, 0, -14, 0, -4, 0, 0, 0, -12, 0, -21, 0, 7, 0, 16, 0, 0, 0, 0, 0, 3, 0, -2, 0, -1, 0, 0, 0, -11, 0, 6, 0, 18, 0, 11, 0, 0, 0, 13, 0, -12, 0, -20, 0, 23, 0, 0, 0, 20, 0, -24, 0, -6, 0, 3, 0, 0, 0, 1, 0, 15, 0, 6, 0, 3, 0, 0, 0, 11, 0, -36, 0, -18, 0, 2, 0, 0, 0, -12, 0, 12, 0, 1, 0, 7, 0, 0, 0, -20, 0, -13, 0, -9, 0, 7, 0, 0, 0, 4, 0, 9, 0, 14, 0, 40, 0, 0, 0, 7, 0, 12, 0, -7, 0, 3, 0, 0, 0, 11, 0, 17, 0, 5, 0, 5, 0, 0, 0, -3, 0, -6, 0, -25, 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0, 0, -92, 0, -4, 0, 11, 0, 106, 0, 0, 0, -91, 0, -64, 0, 67, 0, 48, 0, 0, 0, 57, 0, -6, 0, -22, 0, 20, 0, 0, 0, -86, 0, 46, 0, -148, 0, -33, 0, 0, 0, -54, 0, 12, 0, -20, 0, -41, 0, 0, 0, 16, 0, -22, 0, -89, 0, -34, 0, 0, 0, 68, 0, 55, 0, -10, 0, -124, 0, 0, 0, 4, 0, -23, 0, 108, 0, -51, 0, 0, 0, -107, 0, -70, 0, 172, 0, 120, 0, 0, 0, -14, 0, -16, 0, -83, 0, 55, 0, 0, 0, 35, 0, 53, 0, 103, 0, 55, 0, 0, 0, 72, 0, 54, 0, 19, 0, -71, 0, 0, 0, -4, 0, 86, 0, -36, 0, 47, 0, 0, 0, -84, 0, 81, 0, 20, 0, 28, 0, 0, 0, 91, 0, -94, 0, -4, 0, 31, 0, 0, 0, -6, 0, 72, 0, -70, 0, -29, 0, 0, 0, 108, 0, -60, 0, -20, 0, -116, 0, 0, 0, 0, 0, -58, 0, -63, 0, 33, 0, 0, 0, 19, 0, 25, 0, -52, 0, 30, 0, 0, 0, 58, 0, 10, 0, -20, 0, -62, 0, 0, 0, -9, 0, -15, 0, -42, 0, -97, 0, 0, 0, 24, 0, 38, 0, -79, 0, -30, 0, 0, 0, 30, 0, 100, 0, -24, 0, 36, 0, 0, 0, -29, 0, 64, 0, -70, 0, -10, 0, 0, 0, 14, 0, -142, 0], 'weight': 2, 'weight_parity': 1}
• 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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.9015629368289955, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9681759589785932, 0.0], [0.0, 0.0], [-0.18718427093627676, 0.0], [0.0, 0.0], [0.30151134457776363, 0.0], [0.0, 0.0], [-0.15574672772794376, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3488746876271653, 0.0], [0.0, 0.0], [-0.6882472016116853, 0.0], [0.0, 0.0], [-0.8728715609439696, 0.0], [0.0, 0.0], [-0.20851441405707477, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0703213378624996, 0.0], [0.0, 0.0], [0.2671129368752933, 0.0], [0.0, 0.0], [0.9201369332041295, 0.0], [0.0, 0.0], [0.2718314533047878, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5134354020992077, 0.0], [0.0, 0.0], [-0.14041547725191092, 0.0], [0.0, 0.0], [-0.2931216551148517, 0.0], [0.0, 0.0], [-1.1718994253544261, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8751899489873673, 0.0], [0.0, 0.0], [-0.06263531245588139, 0.0], [0.0, 0.0], [1.216095424791441, 0.0], [0.0, 0.0], [1.2531549336982992, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6204981683493688, 0.0], [0.0, 0.0], [-0.5207556439232954, 0.0], [0.0, 0.0], [0.2875978802783368, 0.0], [0.0, 0.0], [0.18122731101943856, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6794518168991012, 0.0], [0.0, 0.0], [-0.1879888675084735, 0.0], [0.0, 0.0], [-0.13328811566973722, 0.0], [0.0, 0.0], [-0.7166553068253717, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.2919160351795014, 0.0], [0.0, 0.0], [-1.7923628739067625, 0.0], [0.0, 0.0], [-0.7777777777777778, 0.0], [0.0, 0.0], [-0.6720981578346324, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.24081912383430748, 0.0], [0.0, 0.0], [-0.8944736128968271, 0.0], [0.0, 0.0], [0.1507902374757798, 0.0], [0.0, 0.0], [0.8295613557843402, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8372758970823486, 0.0], [0.0, 0.0], [-0.05643818121380521, 0.0], [0.0, 0.0]], 'angles': [None, -0.1755726855183214, None, -0.3304242682618226, -0.22591466277394479, -0.2624064917737462, -0.13219313347101053, -0.30591196191159936, None, -0.22868012295614254, -0.17391242884667374, -0.20867946978534044, -0.2734102047712792, -0.34963919785309533, -0.32208480957574004, -0.14222760217680866, -0.2919235609372406, -0.22703407038797072, -0.19483284495285746, -0.26061459847593954, -0.3083264637853184, -0.42683496438829643, -0.30454540143466746, -0.32379593902293957, -0.18125381856890047, -0.1543136962390025, -0.2048223167755036, -0.38840759515588624, -0.3240579954972208, -0.31899772814476074, -0.09985702002166633, -0.24218822937352627, -0.3188038383048358, -0.1835486842210424, -0.38195183985072756, -0.228111629314883, -0.28847963544656124, -0.1590695380298339, -0.31322907532697924, -0.3469678101351985, -0.2848211359641921, -0.28197386750098014, -0.15833434341768296, -0.3270433512618851, -0.18167228029200339, -0.2369242277916312, -0.3611869297799298, -0.14960101864067252, -0.41826764084783824, -0.1964066104884354, -0.3757214004242307, -0.24873262927657494, -0.25674450607834115, -0.25343922857779605, -0.15215784265149787, -0.12970872368377345, -0.43589138832280316, -0.35540885619144835, -0.4413768370560997, -0.2128549599703983, -0.35835442965521086, -0.3094497048655532, -0.24514354925968893, -0.3777643043659526, -0.19071863964655877, -0.18841095311496744, -0.40661008147011674, -0.3659171615709123, -0.37557235382112786, -0.15472787067168084, -0.08433581446539606, -0.19230391846371117, -0.17885936942596325, -0.17979003131690774, -0.2178669658091351, -0.23857320229986595, -0.3484644092422877, -0.2776036660225264, -0.23681003987005397, -0.3786338938950165, -0.331782742238858, -0.3938722113918252, -0.2567244690948381, -0.13098769093823595, -0.44168512259151765, -0.18048215401131473, -0.4222593801732671, -0.175973327921723, -0.1151907268809429, -0.36954361806552605, -0.22155070417924597, -0.35091088983422636, -0.2052529712143896, -0.21286700145147713, -0.16032546162182607, -0.3135501300783243, -0.3439818782739775, -0.35042261416195003, -0.08676757641907538, -0.23738044888542473], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.5615528128088303, 'hecke_orbit': 42, 'hecke_orbit_code': 184647584755753968, 'label': '9200.2.a.bp.1.2', 'level': 9200, 'weight': 2}
• 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': [25, 25, 27, 27, 29, 20, 25, 31], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [8, 9, 9, 9, 9, 9, 9, 9], 'ALdims_old': [138, 164, 162, 135, 142, 160, 155, 140], 'Nk2': 36800, 'analytic_conductor': 73.46236985957795, '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': [9200, 1, [1151, 6901, 2577, 1201], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1405, 'dim': 209, 'eis_dim': 71, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11], 'hecke_orbit_code': 33563632, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 6, 6, 7, 7, 7, 7, 8, 8], 'label': '9200.2.a', 'level': 9200, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 23], 'level_radical': 230, 'mf_dim': 1476, 'mf_new_dim': 209, 'num_forms': 83, 'plus_dim': 97, 'prim_orbit_index': 1, 'relative_dim': 209, 'sturm_bound': 2880, 'trace_bound': 11, 'trace_display': [0, 2, 0, 4], 'traces': [209, 0, 2, 0, 0, 0, 4, 0, 205, 0, 0, 0, 2, 0, 0, 0, -6, 0, 4, 0, 0, 0, -3, 0, 0, 0, 2, 0, 2, 0, 22, 0, 8, 0, 0, 0, 10, 0, -18, 0, 2, 0, 32, 0, 0, 0, 2, 0, 225, 0, -44, 0, -6, 0, 0, 0, 8, 0, -8, 0, 2, 0, -40, 0, 0, 0, 16, 0, 0, 0, 6, 0, -6, 0, 0, 0, -8, 0, 52, 0, 201, 0, -20, 0, 0, 0, 10, 0, -14, 0, 60, 0, 12, 0, 0, 0, -14, 0, 8, 0, -26, 0, -4, 0, 0, 0, 28, 0, -30, 0, 64, 0, 18, 0, 0, 0, 46, 0, 24, 0, 189, 0, -14, 0, 0, 0, 30, 0, 48, 0, -18, 0, -32, 0, 0, 0, 18, 0, 74, 0, 36, 0, -56, 0, 0, 0, -62, 0, -54, 0, 6, 0, 26, 0, 0, 0, -22, 0, 20, 0, 0, 0, 14, 0, 0, 0, -48, 0, 207, 0, 0, 0, 14, 0, 0, 0, 8, 0, -54, 0, -62, 0, -20, 0, 0, 0, 40, 0, 72, 0, -16, 0, 18, 0, 0, 0, 82, 0, 32, 0, -24, 0, -92, 0, 0, 0, -9, 0, -16, 0, -8, 0, 84, 0, 0, 0, 64, 0, 118, 0, -52, 0, -16, 0, 0, 0, -60, 0, -30, 0, -72, 0, -6, 0, 0, 0, 32, 0, -2, 0, 34, 0, -12, 0, 0, 0, 92, 0, -56, 0, 124, 0, 0, 0, 0, 0, -54, 0, 40, 0, 22, 0, 4, 0, 0, 0, 56, 0, -22, 0, 84, 0, 24, 0, 0, 0, -6, 0, 72, 0, -70, 0, -32, 0, 0, 0, 52, 0, 235, 0, 84, 0, -94, 0, 0, 0, 16, 0, -24, 0, -32, 0, -28, 0, 0, 0, 68, 0, -48, 0, -2, 0, 10, 0, 0, 0, -18, 0, -88, 0, -72, 0, -96, 0, 0, 0, 96, 0, 0, 0, 34, 0, -22, 0, 0, 0, -6, 0, 140, 0, -16, 0, 152, 0, 0, 0, 92, 0, 74, 0, 122, 0, -6, 0, 0, 0, 72, 0, 44, 0, 221, 0, -38, 0, 0, 0, 12, 0, -62, 0, 72, 0, 50, 0, 0, 0, 20, 0, 80, 0, -100, 0, 88, 0, 0, 0, 8, 0, -110, 0, 14, 0, -40, 0, 0, 0, 58, 0, 112, 0, 34, 0, 2, 0, 0, 0, -48, 0, 2, 0, 8, 0, 48, 0, 0, 0, -24, 0, 80, 0, 50, 0, -36, 0, 0, 0, 96, 0, 40, 0, -56, 0, -38, 0, 0, 0, 0, 0, 50, 0, 261, 0, 66, 0, 0, 0, 84, 0, 98, 0, 168, 0, 28, 0, 0, 0, 58, 0, -124, 0, -94, 0, 72, 0, 0, 0, 52, 0, 40, 0, 32, 0, -104, 0, 0, 0, -78, 0, 116, 0, 20, 0, 12, 0, 0, 0, -10, 0, 24, 0, 66, 0, -4, 0, 0, 0, -72, 0, 134, 0, -96, 0, -4, 0, 0, 0, 36, 0, -6, 0, 148, 0, 24, 0, 0, 0, 0, 0, 132, 0, 50, 0, 76, 0, 0, 0, -124, 0, 209, 0, -72, 0, 32, 0, 0, 0, -8, 0, 56, 0, -30, 0, 152, 0, 0, 0, 22, 0, -30, 0, -44, 0, -32, 0, 0, 0, -14, 0, 136, 0, -48, 0, 80, 0, 0, 0, -180, 0, 10, 0, -12, 0, 80, 0, 0, 0, -78, 0, -126, 0, -72, 0, 32, 0, 0, 0, 58, 0, 64, 0, -130, 0, 82, 0, 0, 0, -160, 0, 124, 0, -150, 0, 296, 0, 0, 0, 168, 0, -128, 0, -194, 0, -6, 0, 0, 0, -110, 0, -64, 0, 12, 0, -120, 0, 0, 0, -208, 0, 68, 0, 40, 0, 56, 0, 0, 0, 42, 0, 4, 0, -102, 0, 0, 0, 0, 0, -46, 0, -208, 0, 36, 0, -54, 0, 0, 0, -6, 0, -140, 0, -6, 0, -20, 0, 0, 0, 12, 0, 56, 0, 232, 0, -182, 0, 0, 0, 146, 0, 232, 0, -136, 0, -2, 0, 0, 0, 120, 0, -20, 0, 400, 0, 112, 0, 0, 0, -68, 0, 138, 0, -110, 0, -80, 0, 0, 0, -88, 0, 122, 0, 56, 0, 8, 0, 0, 0, 84, 0, -184, 0, -72, 0, 120, 0, 0, 0, -48, 0, 229, 0, -40, 0, 26, 0, 0, 0, 64, 0, 330, 0, 0, 0, 28, 0, 0, 0, -256, 0, 64, 0, 72, 0, 144, 0, 0, 0, -46, 0, 24, 0, 138, 0, 176, 0, 0, 0, -200, 0, -62, 0, -170, 0, -102, 0, 0, 0, 88, 0, -60, 0, 24, 0, 150, 0, 0, 0, -288, 0, 208, 0, -104, 0, 28, 0, 0, 0, 10, 0, -228, 0, 218, 0, -216, 0, 0, 0, -102, 0, 138, 0, -362, 0, -96, 0, 0, 0, 104, 0, 328, 0, -18, 0, 42, 0, 0, 0, 168, 0, -74, 0, -162, 0, 50, 0, 0, 0, 52, 0, -292, 0, 359, 0, -132, 0, 0, 0, 60, 0, 72, 0, -30, 0, 30, 0, 0, 0, -86, 0, 78, 0, -24, 0, 14, 0, 0, 0, -82, 0, -64, 0, 264, 0, 122, 0, 0, 0, 46, 0, 72, 0, 34, 0, 92, 0, 0, 0, -142, 0, -144, 0, 256, 0, 80, 0, 0, 0, 24, 0, -254, 0, -100, 0, -336, 0, 0, 0, -76, 0, -362, 0, 276, 0, -80, 0, 0, 0, 24, 0, -84, 0, 192, 0, 26, 0, 0, 0, 56, 0, -62, 0, 228, 0, -124, 0, 0, 0, -14, 0, 552, 0, -150, 0, -16, 0, 0, 0, -166, 0, -104, 0, -212, 0, -38, 0, 0, 0, -16, 0, -16, 0, 113, 0, -112, 0, 0, 0, 38, 0, 136, 0, -484, 0, -40, 0, 0, 0, -14, 0, -544, 0, -486, 0, -140, 0, 0, 0, 228, 0, 0, 0, -188, 0, 8, 0, 0, 0, -74, 0, 112, 0], 'weight': 2, 'weight_parity': 1}
• 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: 48957641
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 184647584755753968, 'source_is_minimal': False, 'source_label': '9200.2.a.bp.1.2', 'source_level': 9200, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 184647584755753968, 'target_is_minimal': False, 'target_label': '9200.2.a.bp.1.2', 'target_level': 9200, 'twist_class_label': '1150.2.a.k.1.2', 'twist_class_level': 1150, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48957642
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 184647584755753968, 'source_is_minimal': False, 'source_label': '9200.2.a.bp.1.2', 'source_level': 9200, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444113022, 'target_is_minimal': True, 'target_label': '1150.2.a.p.1.1', 'target_level': 1150, 'twist_class_label': '1150.2.a.k.1.2', 'twist_class_level': 1150, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48957643
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 184647584755753968, 'source_is_minimal': False, 'source_label': '9200.2.a.bp.1.2', 'source_level': 9200, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 216172782147347440, 'target_is_minimal': False, 'target_label': '9200.2.a.bw.1.1', 'target_level': 9200, 'twist_class_label': '1150.2.a.k.1.2', 'twist_class_level': 1150, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48957644
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 184647584755753968, 'source_is_minimal': False, 'source_label': '9200.2.a.bp.1.2', 'source_level': 9200, 'target_conrey_index': 599, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525266144625790, 'target_is_minimal': False, 'target_label': '1150.2.b.h.599.1', 'target_level': 1150, 'twist_class_label': '1150.2.a.k.1.2', 'twist_class_level': 1150, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48957645
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 184647584755753968, 'source_is_minimal': False, 'source_label': '9200.2.a.bp.1.2', 'source_level': 9200, 'target_conrey_index': 599, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31525266144625790, 'target_is_minimal': False, 'target_label': '1150.2.b.h.599.4', 'target_level': 1150, 'twist_class_label': '1150.2.a.k.1.2', 'twist_class_level': 1150, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 48957646
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 184647584755753968, 'source_is_minimal': False, 'source_label': '9200.2.a.bp.1.2', 'source_level': 9200, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45035996307260542, 'target_is_minimal': True, 'target_label': '1150.2.a.k.1.2', 'target_level': 1150, 'twist_class_label': '1150.2.a.k.1.2', 'twist_class_level': 1150, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4963150
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 184647584755753968, 'p': 2}
  • id: 4963151
    {'charpoly_factorization': [[[-4, 1, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 3}
  • id: 4963152
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 184647584755753968, 'p': 5}
  • id: 4963153
    {'charpoly_factorization': [[[-4, 1, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 7}
  • id: 4963154
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 184647584755753968, 'p': 11}
  • id: 4963155
    {'charpoly_factorization': [[[-2, -3, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 13}
  • id: 4963156
    {'charpoly_factorization': [[[8, -7, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 17}
  • id: 4963157
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 184647584755753968, 'p': 19}
  • id: 4963158
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 184647584755753968, 'p': 23}
  • id: 4963159
    {'charpoly_factorization': [[[8, -7, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 29}
  • id: 4963160
    {'charpoly_factorization': [[[-16, -2, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 31}
  • id: 4963161
    {'charpoly_factorization': [[[-16, 2, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 37}
  • id: 4963162
    {'charpoly_factorization': [[[19, 12, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 41}
  • id: 4963163
    {'charpoly_factorization': [[[-36, 3, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 43}
  • id: 4963164
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 184647584755753968, 'p': 47}
  • id: 4963165
    {'charpoly_factorization': [[[8, -10, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 53}
  • id: 4963166
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 184647584755753968, 'p': 59}
  • id: 4963167
    {'charpoly_factorization': [[[-32, 12, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 61}
  • id: 4963168
    {'charpoly_factorization': [[[8, -7, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 67}
  • id: 4963169
    {'charpoly_factorization': [[[-8, -6, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 71}
  • id: 4963170
    {'charpoly_factorization': [[[-13, 4, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 73}
  • id: 4963171
    {'charpoly_factorization': [[[-206, 3, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 79}
  • id: 4963172
    {'charpoly_factorization': [[[-13, 4, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 83}
  • id: 4963173
    {'charpoly_factorization': [[[106, 21, 1], 1]], 'hecke_orbit_code': 184647584755753968, 'p': 89}
  • id: 4963174
    {'charpoly_factorization': [[[-68, 0, 1], 1]], 'hecke_orbit_code': 184647584755753968, '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': 42, 'label': '9200.2.a.bp', 'level': 9200, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• 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: 70774021
    {'hecke_orbit_code': 184647584755753968, 'n': 1, 'trace_an': 2}
  • id: 70774022
    {'hecke_orbit_code': 184647584755753968, 'n': 2, 'trace_an': 0}
  • id: 70774023
    {'hecke_orbit_code': 184647584755753968, 'n': 3, 'trace_an': -1}
  • id: 70774024
    {'hecke_orbit_code': 184647584755753968, 'n': 4, 'trace_an': 0}
  • id: 70774025
    {'hecke_orbit_code': 184647584755753968, 'n': 5, 'trace_an': 0}
  • id: 70774026
    {'hecke_orbit_code': 184647584755753968, 'n': 6, 'trace_an': 0}
  • id: 70774027
    {'hecke_orbit_code': 184647584755753968, 'n': 7, 'trace_an': -1}
  • id: 70774028
    {'hecke_orbit_code': 184647584755753968, 'n': 8, 'trace_an': 0}
  • id: 70774029
    {'hecke_orbit_code': 184647584755753968, 'n': 9, 'trace_an': 3}
  • id: 70774030
    {'hecke_orbit_code': 184647584755753968, 'n': 10, 'trace_an': 0}
  • id: 70774031
    {'hecke_orbit_code': 184647584755753968, 'n': 11, 'trace_an': 2}
  • id: 70774032
    {'hecke_orbit_code': 184647584755753968, 'n': 12, 'trace_an': 0}
  • id: 70774033
    {'hecke_orbit_code': 184647584755753968, 'n': 13, 'trace_an': 3}
  • id: 70774034
    {'hecke_orbit_code': 184647584755753968, 'n': 14, 'trace_an': 0}
  • id: 70774035
    {'hecke_orbit_code': 184647584755753968, 'n': 15, 'trace_an': 0}
  • id: 70774036
    {'hecke_orbit_code': 184647584755753968, 'n': 16, 'trace_an': 0}
  • id: 70774037
    {'hecke_orbit_code': 184647584755753968, 'n': 17, 'trace_an': 7}
  • id: 70774038
    {'hecke_orbit_code': 184647584755753968, 'n': 18, 'trace_an': 0}
  • id: 70774039
    {'hecke_orbit_code': 184647584755753968, 'n': 19, 'trace_an': -6}
  • id: 70774040
    {'hecke_orbit_code': 184647584755753968, 'n': 20, 'trace_an': 0}
  • id: 70774041
    {'hecke_orbit_code': 184647584755753968, 'n': 21, 'trace_an': -8}
  • id: 70774042
    {'hecke_orbit_code': 184647584755753968, 'n': 22, 'trace_an': 0}
  • id: 70774043
    {'hecke_orbit_code': 184647584755753968, 'n': 23, 'trace_an': -2}
  • id: 70774044
    {'hecke_orbit_code': 184647584755753968, 'n': 24, 'trace_an': 0}
  • id: 70774045
    {'hecke_orbit_code': 184647584755753968, 'n': 25, 'trace_an': 0}
  • id: 70774046
    {'hecke_orbit_code': 184647584755753968, 'n': 26, 'trace_an': 0}
  • id: 70774047
    {'hecke_orbit_code': 184647584755753968, 'n': 27, 'trace_an': -7}
  • id: 70774048
    {'hecke_orbit_code': 184647584755753968, 'n': 28, 'trace_an': 0}
  • id: 70774049
    {'hecke_orbit_code': 184647584755753968, 'n': 29, 'trace_an': 7}
  • id: 70774050
    {'hecke_orbit_code': 184647584755753968, 'n': 30, 'trace_an': 0}
  • id: 70774051
    {'hecke_orbit_code': 184647584755753968, 'n': 31, 'trace_an': 2}
  • id: 70774052
    {'hecke_orbit_code': 184647584755753968, 'n': 32, 'trace_an': 0}
  • id: 70774053
    {'hecke_orbit_code': 184647584755753968, 'n': 33, 'trace_an': -1}
  • id: 70774054
    {'hecke_orbit_code': 184647584755753968, 'n': 34, 'trace_an': 0}
  • id: 70774055
    {'hecke_orbit_code': 184647584755753968, 'n': 35, 'trace_an': 0}
  • id: 70774056
    {'hecke_orbit_code': 184647584755753968, 'n': 36, 'trace_an': 0}
  • id: 70774057
    {'hecke_orbit_code': 184647584755753968, 'n': 37, 'trace_an': -2}
  • id: 70774058
    {'hecke_orbit_code': 184647584755753968, 'n': 38, 'trace_an': 0}
  • id: 70774059
    {'hecke_orbit_code': 184647584755753968, 'n': 39, 'trace_an': -10}
  • id: 70774060
    {'hecke_orbit_code': 184647584755753968, 'n': 40, 'trace_an': 0}
  • id: 70774061
    {'hecke_orbit_code': 184647584755753968, 'n': 41, 'trace_an': -12}
  • id: 70774062
    {'hecke_orbit_code': 184647584755753968, 'n': 42, 'trace_an': 0}
  • id: 70774063
    {'hecke_orbit_code': 184647584755753968, 'n': 43, 'trace_an': -3}
  • id: 70774064
    {'hecke_orbit_code': 184647584755753968, 'n': 44, 'trace_an': 0}
  • id: 70774065
    {'hecke_orbit_code': 184647584755753968, 'n': 45, 'trace_an': 0}
  • id: 70774066
    {'hecke_orbit_code': 184647584755753968, 'n': 46, 'trace_an': 0}
  • id: 70774067
    {'hecke_orbit_code': 184647584755753968, 'n': 47, 'trace_an': -12}
  • id: 70774068
    {'hecke_orbit_code': 184647584755753968, 'n': 48, 'trace_an': 0}
  • id: 70774069
    {'hecke_orbit_code': 184647584755753968, 'n': 49, 'trace_an': -5}
  • id: 70774070
    {'hecke_orbit_code': 184647584755753968, 'n': 50, 'trace_an': 0}
  • id: 70774071
    {'hecke_orbit_code': 184647584755753968, 'n': 51, 'trace_an': 5}
  • id: 70774072
    {'hecke_orbit_code': 184647584755753968, 'n': 52, 'trace_an': 0}
  • id: 70774073
    {'hecke_orbit_code': 184647584755753968, 'n': 53, 'trace_an': 10}
  • id: 70774074
    {'hecke_orbit_code': 184647584755753968, 'n': 54, 'trace_an': 0}
  • id: 70774075
    {'hecke_orbit_code': 184647584755753968, 'n': 55, 'trace_an': 0}
  • id: 70774076
    {'hecke_orbit_code': 184647584755753968, 'n': 56, 'trace_an': 0}
  • id: 70774077
    {'hecke_orbit_code': 184647584755753968, 'n': 57, 'trace_an': 3}
  • id: 70774078
    {'hecke_orbit_code': 184647584755753968, 'n': 58, 'trace_an': 0}
  • id: 70774079
    {'hecke_orbit_code': 184647584755753968, 'n': 59, 'trace_an': -8}
  • id: 70774080
    {'hecke_orbit_code': 184647584755753968, 'n': 60, 'trace_an': 0}
  • id: 70774081
    {'hecke_orbit_code': 184647584755753968, 'n': 61, 'trace_an': -12}
  • id: 70774082
    {'hecke_orbit_code': 184647584755753968, 'n': 62, 'trace_an': 0}
  • id: 70774083
    {'hecke_orbit_code': 184647584755753968, 'n': 63, 'trace_an': 7}
  • id: 70774084
    {'hecke_orbit_code': 184647584755753968, 'n': 64, 'trace_an': 0}
  • id: 70774085
    {'hecke_orbit_code': 184647584755753968, 'n': 65, 'trace_an': 0}
  • id: 70774086
    {'hecke_orbit_code': 184647584755753968, 'n': 66, 'trace_an': 0}
  • id: 70774087
    {'hecke_orbit_code': 184647584755753968, 'n': 67, 'trace_an': 7}
  • id: 70774088
    {'hecke_orbit_code': 184647584755753968, 'n': 68, 'trace_an': 0}
  • id: 70774089
    {'hecke_orbit_code': 184647584755753968, 'n': 69, 'trace_an': 1}
  • id: 70774090
    {'hecke_orbit_code': 184647584755753968, 'n': 70, 'trace_an': 0}
  • id: 70774091
    {'hecke_orbit_code': 184647584755753968, 'n': 71, 'trace_an': 6}
  • id: 70774092
    {'hecke_orbit_code': 184647584755753968, 'n': 72, 'trace_an': 0}
  • id: 70774093
    {'hecke_orbit_code': 184647584755753968, 'n': 73, 'trace_an': -4}
  • id: 70774094
    {'hecke_orbit_code': 184647584755753968, 'n': 74, 'trace_an': 0}
  • id: 70774095
    {'hecke_orbit_code': 184647584755753968, 'n': 75, 'trace_an': 0}
  • id: 70774096
    {'hecke_orbit_code': 184647584755753968, 'n': 76, 'trace_an': 0}
  • id: 70774097
    {'hecke_orbit_code': 184647584755753968, 'n': 77, 'trace_an': -1}
  • id: 70774098
    {'hecke_orbit_code': 184647584755753968, 'n': 78, 'trace_an': 0}
  • id: 70774099
    {'hecke_orbit_code': 184647584755753968, 'n': 79, 'trace_an': -3}
  • id: 70774100
    {'hecke_orbit_code': 184647584755753968, 'n': 80, 'trace_an': 0}
  • id: 70774101
    {'hecke_orbit_code': 184647584755753968, 'n': 81, 'trace_an': -14}
  • id: 70774102
    {'hecke_orbit_code': 184647584755753968, 'n': 82, 'trace_an': 0}
  • id: 70774103
    {'hecke_orbit_code': 184647584755753968, 'n': 83, 'trace_an': -4}
  • id: 70774104
    {'hecke_orbit_code': 184647584755753968, 'n': 84, 'trace_an': 0}
  • id: 70774105
    {'hecke_orbit_code': 184647584755753968, 'n': 85, 'trace_an': 0}
  • id: 70774106
    {'hecke_orbit_code': 184647584755753968, 'n': 86, 'trace_an': 0}
  • id: 70774107
    {'hecke_orbit_code': 184647584755753968, 'n': 87, 'trace_an': -12}
  • id: 70774108
    {'hecke_orbit_code': 184647584755753968, 'n': 88, 'trace_an': 0}
  • id: 70774109
    {'hecke_orbit_code': 184647584755753968, 'n': 89, 'trace_an': -21}
  • id: 70774110
    {'hecke_orbit_code': 184647584755753968, 'n': 90, 'trace_an': 0}
  • id: 70774111
    {'hecke_orbit_code': 184647584755753968, 'n': 91, 'trace_an': 7}
  • id: 70774112
    {'hecke_orbit_code': 184647584755753968, 'n': 92, 'trace_an': 0}
  • id: 70774113
    {'hecke_orbit_code': 184647584755753968, 'n': 93, 'trace_an': 16}
  • id: 70774114
    {'hecke_orbit_code': 184647584755753968, 'n': 94, 'trace_an': 0}
  • id: 70774115
    {'hecke_orbit_code': 184647584755753968, 'n': 95, 'trace_an': 0}
  • id: 70774116
    {'hecke_orbit_code': 184647584755753968, 'n': 96, 'trace_an': 0}
  • id: 70774117
    {'hecke_orbit_code': 184647584755753968, 'n': 97, 'trace_an': 0}
  • id: 70774118
    {'hecke_orbit_code': 184647584755753968, 'n': 98, 'trace_an': 0}
  • id: 70774119
    {'hecke_orbit_code': 184647584755753968, 'n': 99, 'trace_an': 3}
  • id: 70774120
    {'hecke_orbit_code': 184647584755753968, 'n': 100, 'trace_an': 0}