Embedded newform data - 7728.2.a.b.1.1

Formats: - HTML - YAML - JSON - 2026-09-10T04:58:37.087742

• 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': 30912, 'analytic_conductor': 61.70839068204548, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1], [7, -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': [7728, 1, [4831, 5797, 5153, 6625, 6721], [1, 1, 1, 1, 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': [[5, [2, 1]], [11, [4, 1]], [13, [-2, 1]], [17, [-6, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660932656, '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': '7728.2.a.b', 'level': 7728, '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, 3, 7, 23], 'level_radical': 966, 'minimal_twist': '966.2.a.j', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{3}-2q^{5}+q^{7}+q^{9}-4q^{11}+2q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/7728/b'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7728.2.a', 'trace_display': [0, -1, -2, 1], 'trace_hash': 1303436822527770718, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.004', 'prec': 4}, {'__RealLiteral__': 0, 'data': '1.039', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.042', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.043', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.139', 'prec': 10}, {'__RealLiteral__': 0, 'data': '5.000', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.017', 'prec': 7}, 'traces': [1, 0, -1, 0, -2, 0, 1, 0, 1, 0, -4, 0, 2, 0, 2, 0, 6, 0, 0, 0, -1, 0, -1, 0, -1, 0, -1, 0, -2, 0, -4, 0, 4, 0, -2, 0, 6, 0, -2, 0, -6, 0, -12, 0, -2, 0, 12, 0, 1, 0, -6, 0, 6, 0, 8, 0, 0, 0, 4, 0, -10, 0, 1, 0, -4, 0, -4, 0, 1, 0, 16, 0, 2, 0, 1, 0, -4, 0, -8, 0, 1, 0, 16, 0, -12, 0, 2, 0, 6, 0, 2, 0, 4, 0, 0, 0, -2, 0, -4, 0, -14, 0, 0, 0, 2, 0, 12, 0, -2, 0, -6, 0, -6, 0, 2, 0, 2, 0, 6, 0, 5, 0, 6, 0, 12, 0, 8, 0, 12, 0, -4, 0, 0, 0, 2, 0, 10, 0, -4, 0, -12, 0, -8, 0, 4, 0, -1, 0, 6, 0, 0, 0, 6, 0, 8, 0, -18, 0, -6, 0, -1, 0, 4, 0, -8, 0, -20, 0, -9, 0, 0, 0, -6, 0, -1, 0, -4, 0, -4, 0, -2, 0, 10, 0, -12, 0, -24, 0, -1, 0, -8, 0, 18, 0, 4, 0, -18, 0, 0, 0, 4, 0, -2, 0, 12, 0, -1, 0, 0, 0, -28, 0, 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0, 20, 0, 24, 0, 74, 0, 4, 0, -14, 0, 0, 0, -16, 0, -24, 0, 96, 0, 20, 0, 16, 0, 72, 0, -32, 0, 24, 0, 48, 0, 6, 0, 86, 0, 34, 0, 0, 0, -5, 0, -28, 0, 46, 0, 26, 0, -20, 0, 0, 0, 48, 0, -82, 0, -12, 0, 66, 0, 48, 0, -48, 0, 18, 0, -17, 0, -30, 0, 4, 0, 0, 0, 14, 0, -60, 0, -8, 0, -38, 0, 6, 0, 24, 0, -6, 0, 0, 0, 82, 0, -2, 0, -58, 0, -120, 0, -36, 0, -92, 0, -84, 0, -4, 0, -24, 0, -28, 0, -10, 0, -40, 0, 34, 0, -34, 0, 42, 0, 26, 0, -16, 0, -120, 0, 0, 0, 8, 0, -54, 0, -12, 0, -10, 0, -80, 0, 48, 0, 15, 0, -20, 0, -20, 0, -12, 0, 4, 0, -96, 0, 36, 0, -50, 0, 8, 0, 24, 0, -56, 0, -32, 0, 0, 0, 30, 0, -96, 0, -24, 0, 48, 0, -10, 0, 4, 0, -8, 0, -48, 0, -2, 0, -48, 0, 28, 0, -18, 0, -16, 0, -24, 0, 24, 0, 36, 0, -36, 0, 2, 0, 0, 0, -26, 0, -24, 0, 48, 0, 10, 0, -36, 0, 58, 0, 24, 0, 12, 0, 52, 0, 12, 0, -12, 0, 42, 0, -84, 0, -56, 0, -6, 0, -36, 0, -28, 0, 80, 0, 0, 0, 0, 0, 0, 0, -10, 0, 6, 0, -12, 0, 80, 0, 6, 0, 84, 0, -26, 0, 8, 0, -4, 0, 8, 0, -24, 0, 12, 0, 4, 0, 8, 0, -16, 0, -76, 0, 0, 0, -24, 0, -5, 0, -18, 0, 20, 0, -2, 0, -22, 0, 40, 0, -86, 0, -26, 0, 14, 0, -24, 0, -4, 0, 40, 0, 10, 0, 6, 0, -192, 0, -48, 0, -28, 0, 0, 0, -66, 0, 22, 0, 20, 0, -28, 0, 16, 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], [-0.5773502691896257, 0.0], [0.0, 0.0], [-0.8944271909999159, 0.0], [0.0, 0.0], [0.37796447300922725, 0.0], [0.0, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [-1.2060453783110545, 0.0], [0.0, 0.0], [0.5547001962252291, 0.0], [0.0, 0.0], [0.5163977794943223, 0.0], [0.0, 0.0], [1.4552137502179978, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.2182178902359924, 0.0], [0.0, 0.0], [-0.20851441405707477, 0.0], [0.0, 0.0], [-0.2, 0.0], [0.0, 0.0], [-0.19245008972987526, 0.0], [0.0, 0.0], [-0.3713906763541037, 0.0], [0.0, 0.0], [-0.7184212081070996, 0.0], [0.0, 0.0], [0.6963106238227914, 0.0], [0.0, 0.0], [-0.3380617018914066, 0.0], [0.0, 0.0], [0.9863939238321437, 0.0], [0.0, 0.0], [-0.32025630761017426, 0.0], [0.0, 0.0], [-0.9370425713316364, 0.0], [0.0, 0.0], [-1.829982843991256, 0.0], [0.0, 0.0], [-0.29814239699997197, 0.0], [0.0, 0.0], [1.7503798979747347, 0.0], [0.0, 0.0], [0.14285714285714285, 0.0], [0.0, 0.0], [-0.8401680504168059, 0.0], [0.0, 0.0], [0.8241633836921342, 0.0], [0.0, 0.0], [1.0787197799411874, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5207556439232954, 0.0], [0.0, 0.0], [-1.2803687993289596, 0.0], [0.0, 0.0], [0.12598815766974242, 0.0], [0.0, 0.0], [-0.4961389383568338, 0.0], [0.0, 0.0], [-0.4886777774252209, 0.0], [0.0, 0.0], [0.1203858530857692, 0.0], [0.0, 0.0], [1.8988506531101654, 0.0], [0.0, 0.0], [0.23408229439226114, 0.0], [0.0, 0.0], [0.11547005383792515, 0.0], [0.0, 0.0], [-0.4558423058385518, 0.0], [0.0, 0.0], [-0.9000703207408192, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, 0.0], [1.7562281598350455, 0.0], [0.0, 0.0], [-1.301582746911937, 0.0], [0.0, 0.0], [0.21442250696755896, 0.0], [0.0, 0.0], [0.635998728003816, 0.0], [0.0, 0.0], [0.20965696734438366, 0.0], [0.0, 0.0], [0.4147806778921701, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.2030692330267238, 0.0], [0.0, 0.0], [-0.40201512610368484, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.32379180882521663, None, -0.3530185831501773, -0.2052719062444833, -0.1203162684952307, -0.25, None, -0.27972687449917594, -0.3084770123204803, -0.16791409420171555, -0.32760653536000656, -0.433901413579983, -0.08036815554979418, -0.18240091478658807, -0.2080764390627594, -0.36057103081184777, -0.28928546523106125, -0.05083340991541828, -0.23132952961286263, -0.32429427729286076, -0.07940084401351624, -0.19849450565556323, -0.266187631589419, -0.37263596502130003, -0.25, -0.15151808540709885, -0.2652676848462628, -0.2955347852630818, -0.1922502035000134, -0.2779543757964231, -0.1797537380356004, -0.277129888445529, -0.21047967267302478, -0.25, -0.3775347429765604, -0.2249649315569011, -0.3908290674011572, -0.2866233320887496, -0.2738811103123127, -0.26184081401448517, -0.29673284607242845, -0.13783748239227123, -0.36078641579985105, -0.25, -0.45704538359272373, -0.228620149717848, -0.10334963842688634, -0.35137185332073073, -0.19688667167645468, -0.2916533939604434, -0.30219071977136747, -0.3867734482469744, -0.27996006893958214, -0.11742416321093707, -0.27927637030754704, -0.35390509712257434, -0.2985635670614343, -0.3639196710043152, -0.3764060355509147, -0.4813615644228974, -0.1533301201956951, -0.30525225992935856, -0.18525734827160556, -0.2953045201035904, -0.3897496422714546, -0.3522589135180426, -0.19780615952364755, -0.27566924960518263, -0.31076208890411905, -0.18062481020177673, -0.1422648808765412, -0.1535571163726519, -0.33585637942637164, -0.25, -0.043229242380331545, -0.08732763143560128, -0.17581203398178166, -0.13888452174782215, -0.3139052190101808, -0.3592078788446099, -0.31295902612604615, -0.2576514455165678, -0.3291875302172791, -0.3287966523152553, -0.3751772328225702, -0.2724088292353732, -0.33560710973325175, -0.11656239324268879, -0.27963011586379916, -0.4334421455388814, -0.2790083406681348, -0.20635983042562903, -0.10087032383346971, -0.42526314336527776, -0.2712261251665352, -0.34643938479583164, -0.22201863340893746, -0.31323401269457335], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660932656, 'label': '7728.2.a.b.1.1', 'level': 7728, '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': [7, 10, 10, 7, 10, 7, 7, 10, 8, 8, 8, 8, 8, 8, 8, 8], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [80, 91, 89, 85, 85, 89, 91, 79, 95, 80, 82, 89, 86, 85, 83, 92], 'Nk2': 30912, 'analytic_conductor': 61.70839068204548, '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': [7728, 1, [4831, 5797, 5153, 6625, 6721], [1, 1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1513, 'dim': 132, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 13, 17], 'hecke_orbit_code': 33562160, 'hecke_orbit_dims': [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, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 6, 6], 'label': '7728.2.a', 'level': 7728, '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, 3, 7, 23], 'level_radical': 966, 'mf_dim': 1560, 'mf_new_dim': 132, 'num_forms': 60, 'plus_dim': 60, 'prim_orbit_index': 1, 'relative_dim': 132, 'sturm_bound': 3072, 'trace_bound': 13, 'trace_display': [0, 0, -8, 0], 'traces': [132, 0, 0, 0, -8, 0, 0, 0, 132, 0, 0, 0, -8, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -8, 0, -16, 0, 8, 0, -32, 0, -8, 0, 0, 0, 132, 0, 0, 0, -8, 0, -32, 0, 0, 0, 0, 0, -8, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 40, 0, -32, 0, 0, 0, 0, 0, 132, 0, 0, 0, -16, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -40, 0, -32, 0, 0, 0, 0, 0, -40, 0, 0, 0, 40, 0, 0, 0, -8, 0, 0, 0, 132, 0, 24, 0, -48, 0, 8, 0, 0, 0, -80, 0, 0, 0, 0, 0, 8, 0, 16, 0, 0, 0, -80, 0, 48, 0, 0, 0, -40, 0, -56, 0, 8, 0, -112, 0, 56, 0, 48, 0, 0, 0, -56, 0, 64, 0, -64, 0, 140, 0, 0, 0, -8, 0, 0, 0, 0, 0, 48, 0, 24, 0, -32, 0, 16, 0, -64, 0, 0, 0, -80, 0, -24, 0, 0, 0, -8, 0, 48, 0, 0, 0, 0, 0, 48, 0, 0, 0, -32, 0, 72, 0, 0, 0, 32, 0, 0, 0, 48, 0, -48, 0, 144, 0, 140, 0, 112, 0, -8, 0, -24, 0, -24, 0, 16, 0, 64, 0, 0, 0, -24, 0, 0, 0, -8, 0, 96, 0, 0, 0, -112, 0, 0, 0, 96, 0, 72, 0, 48, 0, -8, 0, 144, 0, 80, 0, 0, 0, -40, 0, -80, 0, 0, 0, 240, 0, 56, 0, 0, 0, 40, 0, 96, 0, 0, 0, 0, 0, 140, 0, 0, 0, -8, 0, -96, 0, 0, 0, 0, 0, 0, 0, -40, 0, 48, 0, -32, 0, 0, 0, 144, 0, -56, 0, 0, 0, -8, 0, 64, 0, -32, 0, 16, 0, 8, 0, 0, 0, -32, 0, 24, 0, -8, 0, 144, 0, 72, 0, -80, 0, -64, 0, 0, 0, 0, 0, 32, 0, -72, 0, -16, 0, -24, 0, 112, 0, 0, 0, 144, 0, 68, 0, 64, 0, -80, 0, 32, 0, 8, 0, 0, 0, -40, 0, -48, 0, 112, 0, 48, 0, 32, 0, -80, 0, 0, 0, -32, 0, -104, 0, 0, 0, -32, 0, 144, 0, -40, 0, -32, 0, -24, 0, 0, 0, -8, 0, 128, 0, 8, 0, 0, 0, 0, 0, -80, 0, 0, 0, -16, 0, -136, 0, 0, 0, 184, 0, -24, 0, -32, 0, 32, 0, -24, 0, -64, 0, 0, 0, 64, 0, 132, 0, 48, 0, 16, 0, -32, 0, 8, 0, -272, 0, -32, 0, 96, 0, -24, 0, 0, 0, -104, 0, -72, 0, 0, 0, 128, 0, -32, 0, 0, 0, -32, 0, 128, 0, -8, 0, -272, 0, 112, 0, 12, 0, -112, 0, -32, 0, 0, 0, -64, 0, -144, 0, -32, 0, 0, 0, -160, 0, -32, 0, 128, 0, 16, 0, 0, 0, -8, 0, 0, 0, 0, 0, 80, 0, 224, 0, -48, 0, 8, 0, -240, 0, 0, 0, 0, 0, 132, 0, 0, 0, 16, 0, 144, 0, -32, 0, 0, 0, -136, 0, 32, 0, 80, 0, 160, 0, -8, 0, -80, 0, 0, 0, -144, 0, 120, 0, -144, 0, 0, 0, 224, 0, -240, 0, 0, 0, -56, 0, 144, 0, -64, 0, 0, 0, -24, 0, 0, 0, -32, 0, 56, 0, 48, 0, -96, 0, 64, 0, 96, 0, -56, 0, -64, 0, 32, 0, 112, 0, 8, 0, 0, 0, 120, 0, -96, 0, 0, 0, 48, 0, 120, 0, -32, 0, -24, 0, -80, 0, 0, 0, 48, 0, 244, 0, -8, 0, 272, 0, -64, 0, 128, 0, -112, 0, -8, 0, 0, 0, -88, 0, 240, 0, -96, 0, 64, 0, 64, 0, 0, 0, 88, 0, 176, 0, 40, 0, 80, 0, -104, 0, -48, 0, -64, 0, 48, 0, -64, 0, -64, 0, 72, 0, -32, 0, 56, 0, -48, 0, 0, 0, -240, 0, 48, 0, 0, 0, 16, 0, 240, 0, 0, 0, 144, 0, 80, 0, 144, 0, -200, 0, 32, 0, 128, 0, 0, 0, -232, 0, 0, 0, -32, 0, -272, 0, -32, 0, 80, 0, -32, 0, -64, 0, 72, 0, -48, 0, 132, 0, 432, 0, 24, 0, 0, 0, -96, 0, 32, 0, -64, 0, 224, 0, 112, 0, 0, 0, 0, 0, 304, 0, -128, 0, 384, 0, -168, 0, 0, 0, -24, 0, 48, 0, -16, 0, 192, 0, -152, 0, 168, 0, 56, 0, 240, 0, 0, 0, 16, 0, -160, 0, 0, 0, 16, 0, 96, 0, -96, 0, 0, 0, 16, 0, 144, 0, -8, 0, 176, 0, 40, 0, 400, 0, 0, 0, 64, 0, -120, 0, 64, 0, -32, 0, 176, 0, 32, 0, 0, 0, -104, 0, -120, 0, -96, 0, -112, 0, 88, 0, 96, 0, 8, 0, 208, 0, 0, 0, 16, 0, -20, 0, -256, 0, -216, 0, 0, 0, 96, 0, 0, 0, -136, 0, 0, 0, -56, 0, 144, 0, -32, 0, 80, 0, -80, 0, 0, 0, 96, 0, 176, 0, 8, 0, -144, 0, -40, 0, 16, 0, 40, 0, 368, 0, 0, 0, 128, 0, -32, 0, 0, 0, 128, 0, 192, 0, 0, 0, 128, 0, -176, 0, -32, 0, -16, 0, -64, 0, -40, 0, 160, 0, 0, 0, 144, 0, 0, 0, -64, 0, -32, 0, -48, 0, -120, 0, -32, 0, -56, 0, 0, 0, 64, 0, 80, 0, 40, 0, 0, 0, -104, 0, 0, 0, 0, 0, 224, 0, 112, 0, -16, 0, -24, 0, 96, 0, 0, 0, 96, 0, 36, 0, 0, 0, 48, 0, -128, 0, -96, 0, -96, 0, 64, 0, -144, 0, -88, 0, -144, 0, -40, 0, -16, 0, 80, 0, 0, 0, 0, 0, -264, 0, -96, 0, 112, 0, -72, 0, 0, 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: 34107809
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660932656, 'source_is_minimal': False, 'source_label': '7728.2.a.b.1.1', 'source_level': 7728, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660932656, 'target_is_minimal': False, 'target_label': '7728.2.a.b.1.1', 'target_level': 7728, 'twist_class_label': '966.2.a.j.1.1', 'twist_class_level': 966, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 34107810
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660932656, 'source_is_minimal': False, 'source_label': '7728.2.a.b.1.1', 'source_level': 7728, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679889862, 'target_is_minimal': True, 'target_label': '966.2.a.j.1.1', 'target_level': 966, 'twist_class_label': '966.2.a.j.1.1', 'twist_class_level': 966, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 34107811
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660932656, 'source_is_minimal': False, 'source_label': '7728.2.a.b.1.1', 'source_level': 7728, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998170409810, 'target_is_minimal': False, 'target_label': '2898.2.a.f.1.1', 'target_level': 2898, 'twist_class_label': '966.2.a.j.1.1', 'twist_class_level': 966, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 34107812
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660932656, 'source_is_minimal': False, 'source_label': '7728.2.a.b.1.1', 'source_level': 7728, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 126100789599935082, 'target_is_minimal': False, 'target_label': '6762.2.a.bc.1.1', 'target_level': 6762, 'twist_class_label': '966.2.a.j.1.1', 'twist_class_level': 966, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4554400
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 2}
  • id: 4554401
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 3}
  • id: 4554402
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 5}
  • id: 4554403
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 7}
  • id: 4554404
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 11}
  • id: 4554405
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 13}
  • id: 4554406
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 17}
  • id: 4554407
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 19}
  • id: 4554408
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 23}
  • id: 4554409
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 29}
  • id: 4554410
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 31}
  • id: 4554411
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 37}
  • id: 4554412
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 41}
  • id: 4554413
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 43}
  • id: 4554414
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 47}
  • id: 4554415
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 53}
  • id: 4554416
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 59}
  • id: 4554417
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 61}
  • id: 4554418
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 67}
  • id: 4554419
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 71}
  • id: 4554420
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 73}
  • id: 4554421
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 79}
  • id: 4554422
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 83}
  • id: 4554423
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660932656, 'p': 89}
  • id: 4554424
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660932656, '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': '7728.2.a.b', 'level': 7728, 'portrait': 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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: 18012078
    {'hecke_orbit_code': 4503599660932656, 'n': 1, 'trace_an': 1}
  • id: 18012079
    {'hecke_orbit_code': 4503599660932656, 'n': 2, 'trace_an': 0}
  • id: 18012080
    {'hecke_orbit_code': 4503599660932656, 'n': 3, 'trace_an': -1}
  • id: 18012081
    {'hecke_orbit_code': 4503599660932656, 'n': 4, 'trace_an': 0}
  • id: 18012082
    {'hecke_orbit_code': 4503599660932656, 'n': 5, 'trace_an': -2}
  • id: 18012083
    {'hecke_orbit_code': 4503599660932656, 'n': 6, 'trace_an': 0}
  • id: 18012084
    {'hecke_orbit_code': 4503599660932656, 'n': 7, 'trace_an': 1}
  • id: 18012085
    {'hecke_orbit_code': 4503599660932656, 'n': 8, 'trace_an': 0}
  • id: 18012086
    {'hecke_orbit_code': 4503599660932656, 'n': 9, 'trace_an': 1}
  • id: 18012087
    {'hecke_orbit_code': 4503599660932656, 'n': 10, 'trace_an': 0}
  • id: 18012088
    {'hecke_orbit_code': 4503599660932656, 'n': 11, 'trace_an': -4}
  • id: 18012089
    {'hecke_orbit_code': 4503599660932656, 'n': 12, 'trace_an': 0}
  • id: 18012090
    {'hecke_orbit_code': 4503599660932656, 'n': 13, 'trace_an': 2}
  • id: 18012091
    {'hecke_orbit_code': 4503599660932656, 'n': 14, 'trace_an': 0}
  • id: 18012092
    {'hecke_orbit_code': 4503599660932656, 'n': 15, 'trace_an': 2}
  • id: 18012093
    {'hecke_orbit_code': 4503599660932656, 'n': 16, 'trace_an': 0}
  • id: 18012094
    {'hecke_orbit_code': 4503599660932656, 'n': 17, 'trace_an': 6}
  • id: 18012095
    {'hecke_orbit_code': 4503599660932656, 'n': 18, 'trace_an': 0}
  • id: 18012096
    {'hecke_orbit_code': 4503599660932656, 'n': 19, 'trace_an': 0}
  • id: 18012097
    {'hecke_orbit_code': 4503599660932656, 'n': 20, 'trace_an': 0}
  • id: 18012098
    {'hecke_orbit_code': 4503599660932656, 'n': 21, 'trace_an': -1}
  • id: 18012099
    {'hecke_orbit_code': 4503599660932656, 'n': 22, 'trace_an': 0}
  • id: 18012100
    {'hecke_orbit_code': 4503599660932656, 'n': 23, 'trace_an': -1}
  • id: 18012101
    {'hecke_orbit_code': 4503599660932656, 'n': 24, 'trace_an': 0}
  • id: 18012102
    {'hecke_orbit_code': 4503599660932656, 'n': 25, 'trace_an': -1}
  • id: 18012103
    {'hecke_orbit_code': 4503599660932656, 'n': 26, 'trace_an': 0}
  • id: 18012104
    {'hecke_orbit_code': 4503599660932656, 'n': 27, 'trace_an': -1}
  • id: 18012105
    {'hecke_orbit_code': 4503599660932656, 'n': 28, 'trace_an': 0}
  • id: 18012106
    {'hecke_orbit_code': 4503599660932656, 'n': 29, 'trace_an': -2}
  • id: 18012107
    {'hecke_orbit_code': 4503599660932656, 'n': 30, 'trace_an': 0}
  • id: 18012108
    {'hecke_orbit_code': 4503599660932656, 'n': 31, 'trace_an': -4}
  • id: 18012109
    {'hecke_orbit_code': 4503599660932656, 'n': 32, 'trace_an': 0}
  • id: 18012110
    {'hecke_orbit_code': 4503599660932656, 'n': 33, 'trace_an': 4}
  • id: 18012111
    {'hecke_orbit_code': 4503599660932656, 'n': 34, 'trace_an': 0}
  • id: 18012112
    {'hecke_orbit_code': 4503599660932656, 'n': 35, 'trace_an': -2}
  • id: 18012113
    {'hecke_orbit_code': 4503599660932656, 'n': 36, 'trace_an': 0}
  • id: 18012114
    {'hecke_orbit_code': 4503599660932656, 'n': 37, 'trace_an': 6}
  • id: 18012115
    {'hecke_orbit_code': 4503599660932656, 'n': 38, 'trace_an': 0}
  • id: 18012116
    {'hecke_orbit_code': 4503599660932656, 'n': 39, 'trace_an': -2}
  • id: 18012117
    {'hecke_orbit_code': 4503599660932656, 'n': 40, 'trace_an': 0}
  • id: 18012118
    {'hecke_orbit_code': 4503599660932656, 'n': 41, 'trace_an': -6}
  • id: 18012119
    {'hecke_orbit_code': 4503599660932656, 'n': 42, 'trace_an': 0}
  • id: 18012120
    {'hecke_orbit_code': 4503599660932656, 'n': 43, 'trace_an': -12}
  • id: 18012121
    {'hecke_orbit_code': 4503599660932656, 'n': 44, 'trace_an': 0}
  • id: 18012122
    {'hecke_orbit_code': 4503599660932656, 'n': 45, 'trace_an': -2}
  • id: 18012123
    {'hecke_orbit_code': 4503599660932656, 'n': 46, 'trace_an': 0}
  • id: 18012124
    {'hecke_orbit_code': 4503599660932656, 'n': 47, 'trace_an': 12}
  • id: 18012125
    {'hecke_orbit_code': 4503599660932656, 'n': 48, 'trace_an': 0}
  • id: 18012126
    {'hecke_orbit_code': 4503599660932656, 'n': 49, 'trace_an': 1}
  • id: 18012127
    {'hecke_orbit_code': 4503599660932656, 'n': 50, 'trace_an': 0}
  • id: 18012128
    {'hecke_orbit_code': 4503599660932656, 'n': 51, 'trace_an': -6}
  • id: 18012129
    {'hecke_orbit_code': 4503599660932656, 'n': 52, 'trace_an': 0}
  • id: 18012130
    {'hecke_orbit_code': 4503599660932656, 'n': 53, 'trace_an': 6}
  • id: 18012131
    {'hecke_orbit_code': 4503599660932656, 'n': 54, 'trace_an': 0}
  • id: 18012132
    {'hecke_orbit_code': 4503599660932656, 'n': 55, 'trace_an': 8}
  • id: 18012133
    {'hecke_orbit_code': 4503599660932656, 'n': 56, 'trace_an': 0}
  • id: 18012134
    {'hecke_orbit_code': 4503599660932656, 'n': 57, 'trace_an': 0}
  • id: 18012135
    {'hecke_orbit_code': 4503599660932656, 'n': 58, 'trace_an': 0}
  • id: 18012136
    {'hecke_orbit_code': 4503599660932656, 'n': 59, 'trace_an': 4}
  • id: 18012137
    {'hecke_orbit_code': 4503599660932656, 'n': 60, 'trace_an': 0}
  • id: 18012138
    {'hecke_orbit_code': 4503599660932656, 'n': 61, 'trace_an': -10}
  • id: 18012139
    {'hecke_orbit_code': 4503599660932656, 'n': 62, 'trace_an': 0}
  • id: 18012140
    {'hecke_orbit_code': 4503599660932656, 'n': 63, 'trace_an': 1}
  • id: 18012141
    {'hecke_orbit_code': 4503599660932656, 'n': 64, 'trace_an': 0}
  • id: 18012142
    {'hecke_orbit_code': 4503599660932656, 'n': 65, 'trace_an': -4}
  • id: 18012143
    {'hecke_orbit_code': 4503599660932656, 'n': 66, 'trace_an': 0}
  • id: 18012144
    {'hecke_orbit_code': 4503599660932656, 'n': 67, 'trace_an': -4}
  • id: 18012145
    {'hecke_orbit_code': 4503599660932656, 'n': 68, 'trace_an': 0}
  • id: 18012146
    {'hecke_orbit_code': 4503599660932656, 'n': 69, 'trace_an': 1}
  • id: 18012147
    {'hecke_orbit_code': 4503599660932656, 'n': 70, 'trace_an': 0}
  • id: 18012148
    {'hecke_orbit_code': 4503599660932656, 'n': 71, 'trace_an': 16}
  • id: 18012149
    {'hecke_orbit_code': 4503599660932656, 'n': 72, 'trace_an': 0}
  • id: 18012150
    {'hecke_orbit_code': 4503599660932656, 'n': 73, 'trace_an': 2}
  • id: 18012151
    {'hecke_orbit_code': 4503599660932656, 'n': 74, 'trace_an': 0}
  • id: 18012152
    {'hecke_orbit_code': 4503599660932656, 'n': 75, 'trace_an': 1}
  • id: 18012153
    {'hecke_orbit_code': 4503599660932656, 'n': 76, 'trace_an': 0}
  • id: 18012154
    {'hecke_orbit_code': 4503599660932656, 'n': 77, 'trace_an': -4}
  • id: 18012155
    {'hecke_orbit_code': 4503599660932656, 'n': 78, 'trace_an': 0}
  • id: 18012156
    {'hecke_orbit_code': 4503599660932656, 'n': 79, 'trace_an': -8}
  • id: 18012157
    {'hecke_orbit_code': 4503599660932656, 'n': 80, 'trace_an': 0}
  • id: 18012158
    {'hecke_orbit_code': 4503599660932656, 'n': 81, 'trace_an': 1}
  • id: 18012159
    {'hecke_orbit_code': 4503599660932656, 'n': 82, 'trace_an': 0}
  • id: 18012160
    {'hecke_orbit_code': 4503599660932656, 'n': 83, 'trace_an': 16}
  • id: 18012161
    {'hecke_orbit_code': 4503599660932656, 'n': 84, 'trace_an': 0}
  • id: 18012162
    {'hecke_orbit_code': 4503599660932656, 'n': 85, 'trace_an': -12}
  • id: 18012163
    {'hecke_orbit_code': 4503599660932656, 'n': 86, 'trace_an': 0}
  • id: 18012164
    {'hecke_orbit_code': 4503599660932656, 'n': 87, 'trace_an': 2}
  • id: 18012165
    {'hecke_orbit_code': 4503599660932656, 'n': 88, 'trace_an': 0}
  • id: 18012166
    {'hecke_orbit_code': 4503599660932656, 'n': 89, 'trace_an': 6}
  • id: 18012167
    {'hecke_orbit_code': 4503599660932656, 'n': 90, 'trace_an': 0}
  • id: 18012168
    {'hecke_orbit_code': 4503599660932656, 'n': 91, 'trace_an': 2}
  • id: 18012169
    {'hecke_orbit_code': 4503599660932656, 'n': 92, 'trace_an': 0}
  • id: 18012170
    {'hecke_orbit_code': 4503599660932656, 'n': 93, 'trace_an': 4}
  • id: 18012171
    {'hecke_orbit_code': 4503599660932656, 'n': 94, 'trace_an': 0}
  • id: 18012172
    {'hecke_orbit_code': 4503599660932656, 'n': 95, 'trace_an': 0}
  • id: 18012173
    {'hecke_orbit_code': 4503599660932656, 'n': 96, 'trace_an': 0}
  • id: 18012174
    {'hecke_orbit_code': 4503599660932656, 'n': 97, 'trace_an': -2}
  • id: 18012175
    {'hecke_orbit_code': 4503599660932656, 'n': 98, 'trace_an': 0}
  • id: 18012176
    {'hecke_orbit_code': 4503599660932656, 'n': 99, 'trace_an': -4}
  • id: 18012177
    {'hecke_orbit_code': 4503599660932656, 'n': 100, 'trace_an': 0}