Embedded newform data - 3267.2.a.ba.1.3

Formats: - HTML - YAML - JSON - 2026-07-03T02:42:52.035248

• 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': 13068, 'analytic_conductor': 26.087126340352302, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [11, -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': [3267, 1, [3026, 244], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 29952, 'field_disc_factorization': [[2, 8], [3, 2], [13, 1]], 'field_poly': [13, 0, -8, 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': 1, 'hecke_cutters': [[2, [13, 0, -8, 0, 1]], [5, [52, 0, -20, 0, 1]], [7, [-11, -2, 1]], [23, [52, 0, -44, 0, 1]]], 'hecke_orbit': 27, 'hecke_orbit_code': 117093590345190595, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], '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': True, 'label': '3267.2.a.ba', 'level': 3267, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 11], 'level_radical': 33, 'minimal_twist': '3267.2.a.z', 'nf_label': '4.4.29952.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}+(2+\\beta _{2})q^{4}-\\beta _{3}q^{5}+(1-2\\beta _{2}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3267.2.a', 'trace_display': [0, 0, 0, 4], 'trace_hash': 1384330381598220614, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.029', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.733', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.453', 'prec': 17}, {'__RealLiteral__': 0, 'data': '69.082', 'prec': 20}, {'__RealLiteral__': 0, 'data': '49.302', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1794.129', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.517', 'prec': 17}, 'traces': [4, 0, 0, 8, 0, 0, 4, 0, 0, 4, 0, 0, 4, 0, 0, -4, 0, 0, 24, 0, 0, 0, 0, 0, 20, 0, 0, -16, 0, 0, 4, 0, 0, 28, 0, 0, 24, 0, 0, -36, 0, 0, 0, 0, 0, -28, 0, 0, 24, 0, 0, 32, 0, 0, 0, 0, 0, 24, 0, 0, -24, 0, 0, -8, 0, 0, 20, 0, 0, 76, 0, 0, 4, 0, 0, 48, 0, 0, -4, 0, 0, 4, 0, 0, -32, 0, 0, 0, 0, 0, -44, 0, 0, 68, 0, 0, -4, 0, 0, -8, 0, 0, -4, 0, 0, -72, 0, 0, 28, 0, 0, -52, 0, 0, 32, 0, 0, 68, 0, 0, 0, 0, 0, 32, 0, 0, -4, 0, 0, -68, 0, 0, 24, 0, 0, 60, 0, 0, -20, 0, 0, 24, 0, 0, -72, 0, 0, 72, 0, 0, -4, 0, 0, 0, 0, 0, 44, 0, 0, -4, 0, 0, -20, 0, 0, -96, 0, 0, 0, 0, 0, -24, 0, 0, 116, 0, 0, -24, 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0, 0, 0, 0, 144, 0, 0, 168, 0, 0, 96, 0, 0, -80, 0, 0, -268, 0, 0, -164, 0, 0, -200, 0, 0, -112, 0, 0, -24, 0, 0, -52, 0, 0, 0, 0, 0, 28, 0, 0, 72, 0, 0, 200, 0, 0, -80, 0, 0, -216, 0, 0, 168, 0, 0, -184, 0, 0, 120, 0, 0, -432, 0, 0, 76, 0, 0, 0, 0, 0, -200, 0, 0, -96, 0, 0, -20, 0, 0, 328, 0, 0, 12, 0, 0, 100, 0, 0, -216, 0, 0, -200, 0, 0, -88, 0, 0, 48, 0, 0, 0, 0, 0, 168, 0, 0, -452, 0, 0, -52, 0, 0, 48, 0, 0, 268, 0, 0, 432, 0, 0, 16, 0, 0, 72, 0, 0, -44, 0, 0, -408, 0, 0, 0, 0, 0, -140, 0, 0, 192, 0, 0, 280, 0, 0, -48, 0, 0, -240, 0, 0, -72, 0, 0, 24, 0, 0, 260, 0, 0, 48, 0, 0, 236, 0, 0, 0, 0, 0, -240, 0, 0, -48, 0, 0, -24, 0, 0, -60, 0, 0, -96, 0, 0, 360, 0, 0, -48, 0, 0, 88, 0, 0, 120, 0, 0, -412, 0, 0, 0, 0, 0, -220, 0, 0, 76, 0, 0, 124, 0, 0, -456, 0, 0, -96, 0, 0, -72, 0, 0, 92, 0, 0, -92, 0, 0, 36, 0, 0, 72, 0, 0, 0, 0, 0, -120, 0, 0, 72, 0, 0, -296, 0, 0, 216, 0, 0, -360, 0, 0, 300, 0, 0, 124, 0, 0, 292, 0, 0, 28, 0, 0, -56, 0, 0, 0, 0, 0, -172, 0, 0, 416, 0, 0, 456, 0, 0, -92, 0, 0, -356, 0, 0, -120, 0, 0, -152, 0, 0, 264, 0, 0, 144, 0, 0, -240, 0, 0, 0, 0, 0, -224, 0, 0, -68, 0, 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], [1.064882433048626, 0.0], [0.0, 0.0], [0.13397459621556135, 0.0], [1.8400110450905185, 0.0], [0.0, 0.0], [1.6872718144251815, 0.0], [-0.9222152390638918, 0.0], [0.0, 0.0], [1.9593954385323362, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6834188247179083, 0.0], [1.796746114959457, 0.0], [0.0, 0.0], [-1.1160254037844386, 0.0], [-0.2673827735633684, 0.0], [0.0, 0.0], [1.3764944032233706, 0.0], [0.24651473679817526, 0.0], [0.0, 0.0], [0.0, 0.0], [0.22987617736639385, 0.0], [0.0, 0.0], [2.385640646055102, 0.0], [-0.7277607008568385, 0.0], [0.0, 0.0], [0.22605156004351126, 0.0], [-0.9687423469628471, 0.0], [0.0, 0.0], [-0.44256571481148027, 0.0], [-0.2662206082621565, 0.0], [0.0, 0.0], [-0.2847312184674496, 0.0], [3.1045987746122536, 0.0], [0.0, 0.0], [0.41689912638064436, 0.0], [1.4658047091823192, 0.0], [0.0, 0.0], [-1.6968862258283537, 0.0], [0.6425597292209307, 0.0], [0.0, 0.0], [0.5282705437953743, 0.0], [0.0, 0.0], [0.0, 0.0], [0.24479110305384297, 0.0], [1.478819322691762, 0.0], [0.0, 0.0], [1.846886175753644, 0.0], [2.5404268155508527, 0.0], [0.0, 0.0], [-0.09156076108769526, 0.0], [-1.9577540017538297, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.5560277797058852, 0.0], [0.0, 0.0], [-1.0315967074310328, 0.0], [1.319890915438877, 0.0], [0.0, 0.0], [-1.2117540421701196, 0.0], [-0.4712804551723534, 0.0], [0.0, 0.0], [0.8325317547305483, 0.0], [-1.2574981859037322, 0.0], [0.0, 0.0], [0.18763985226636715, 0.0], [-0.03582249912314916, 0.0], [0.0, 0.0], [3.306032696748879, 0.0], [-0.619124669567634, 0.0], [0.0, 0.0], [-1.099286133922944, 0.0], [0.44394855603606714, 0.0], [0.0, 0.0], [0.18441528186483117, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8919925530465594, 0.0], [-2.053499069564973, 0.0], [0.0, 0.0], [0.684250567831851, 0.0], [-0.9918108722713558, 0.0], [0.0, 0.0], [-0.491987256623535, 0.0], [0.5625460219847389, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5529836366026247, 0.0], [0.0, 0.0], [-1.1531133203941102, 0.0], [0.03079756804223938, 0.0], [0.0, 0.0], [1.5747687183873247, 0.0], [2.5327649054362835, 0.0], [0.0, 0.0], [-1.1567133036823505, 0.0], [1.9667166444004127, 0.0], [0.0, 0.0], [0.3196152422706632, 0.0]], 'angles': [-0.16063736982396568, None, -0.06409197414996937, -0.09020533933900764, None, -0.30550293048066807, -0.27134154427455187, -0.1291902240414111, -0.2316665163528651, -0.33047578227836183, -0.2855122015347331, -0.21657914403250975, -0.1979434907288524, -0.207456730964422, -0.11755235547316042, -0.4672297039695635, -0.1352896854989013, -0.3535888280276981, -0.2350461022216242, -0.30009126872252034, -0.3426181369943472, -0.32357527189753016, -0.33258187099309744, -0.2054140651765365, -0.34815289195110766, -0.24126615804175652, -0.2306312017689959, -0.20942865793650262, -0.24945275393464958, -0.2894562640384737, -0.23256524511821178, -0.41185907265113003, -0.1787123847706576, -0.21327876451774366, -0.3124205094710254, -0.18758887456167725, -0.12311924425990836, -0.28136762256222164, -0.34296303546410856, -0.1485872730680879, -0.30482188018518375, -0.1088441201627145, -0.4126814308944107, -0.19140405987573164, -0.22658846956068715, -0.18996218103695828, -0.20641728785049257, -0.3153882958731062, -0.328412896151006, -0.15890615877333533, -0.3055125759449519, -0.3493505469296957, -0.27574227144825164, -0.17408009722543039, -0.14428505538350378, -0.3458090591729842, -0.31994994781514574, -0.2933456223302917, -0.20375768305755618, -0.3406049563952148, -0.3540605424088873, -0.34627870464048655, -0.2863222091030055, -0.3231724559531698, -0.21155583819365903, -0.2549281939713638, -0.16256184105546853, -0.27958034813237403, -0.3635998010471922, -0.16545072893435447, -0.05786772263320765, -0.16946657154302008, -0.140549462924946, -0.32681891832856713, -0.14392246922383356, -0.3342481584986712, -0.22888958213598143, -0.14206834423599451, -0.36992800698607564, -0.36037930687360903, -0.23082096748915334, -0.26220397059853534, -0.17232407004217448, -0.2629874281737485, -0.2823695742279937, -0.2739828631724015, -0.30021450975017966, -0.37508571868111756, -0.13446859035193784, -0.10631809366424869, -0.25514833945938503, -0.25107407847429675, -0.1906812575121694, -0.27277194520312564, -0.4069025952532125, -0.21664751011109612, -0.40639953472810747, -0.218288513860233, -0.2639365230010323, -0.32605083458987555], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': 1.5059711791502262, 'hecke_orbit': 27, 'hecke_orbit_code': 117093590345190595, 'label': '3267.2.a.ba.1.3', 'level': 3267, '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': [32, 40, 40, 33], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [17, 18, 18, 18], 'ALdims_old': [53, 56, 56, 51], 'Nk2': 13068, 'analytic_conductor': 26.087126340352302, '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': [3267, 1, [3026, 244], [1, 1]], 'conrey_index': 1, 'cusp_dim': 361, 'dim': 145, 'eis_dim': 71, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5, 7, 23], 'hecke_orbit_code': 33557699, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 6, 6, 8, 8, 8, 8, 8, 8, 8, 8, 8], 'label': '3267.2.a', 'level': 3267, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 11], 'level_radical': 33, 'mf_dim': 432, 'mf_new_dim': 145, 'num_forms': 39, 'plus_dim': 65, 'prim_orbit_index': 1, 'relative_dim': 145, 'sturm_bound': 792, 'trace_bound': 31, 'trace_display': [0, 0, 0, 3], 'traces': [145, 0, 0, 142, 0, 0, 3, 0, 0, 12, 0, 0, 9, 0, 0, 124, 0, 0, -3, 0, 0, 0, 0, 0, 163, 0, 0, -6, 0, 0, 12, 0, 0, 28, 0, 0, 31, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 134, 0, 0, 42, 0, 0, 0, 0, 0, -8, 0, 0, 27, 0, 0, 148, 0, 0, -19, 0, 0, 44, 0, 0, -15, 0, 0, 90, 0, 0, -63, 0, 0, 84, 0, 0, 12, 0, 0, 0, 0, 0, -49, 0, 0, -60, 0, 0, -35, 0, 0, 190, 0, 0, -57, 0, 0, -24, 0, 0, 18, 0, 0, 48, 0, 0, -88, 0, 0, -96, 0, 0, 0, 0, 0, -16, 0, 0, -72, 0, 0, -68, 0, 0, -29, 0, 0, 20, 0, 0, -9, 0, 0, 0, 0, 0, 84, 0, 0, 66, 0, 0, 81, 0, 0, 0, 0, 0, 70, 0, 0, 132, 0, 0, -65, 0, 0, -72, 0, 0, 208, 0, 0, -84, 0, 0, -111, 0, 0, -120, 0, 0, 17, 0, 0, -108, 0, 0, 0, 0, 0, -124, 0, 0, 27, 0, 0, 0, 0, 0, 23, 0, 0, 20, 0, 0, 60, 0, 0, -48, 0, 0, 15, 0, 0, -148, 0, 0, -72, 0, 0, 0, 0, 0, -56, 0, 0, 12, 0, 0, 82, 0, 0, 60, 0, 0, 56, 0, 0, -36, 0, 0, 9, 0, 0, 150, 0, 0, 5, 0, 0, 48, 0, 0, 0, 0, 0, 112, 0, 0, 21, 0, 0, 184, 0, 0, 80, 0, 0, -158, 0, 0, -75, 0, 0, 96, 0, 0, -30, 0, 0, 224, 0, 0, 108, 0, 0, 0, 0, 0, 191, 0, 0, -42, 0, 0, 128, 0, 0, -180, 0, 0, -72, 0, 0, 288, 0, 0, 60, 0, 0, 24, 0, 0, -73, 0, 0, -174, 0, 0, 0, 0, 0, 244, 0, 0, 27, 0, 0, -20, 0, 0, 163, 0, 0, -120, 0, 0, 33, 0, 0, -12, 0, 0, 93, 0, 0, -80, 0, 0, 87, 0, 0, 0, 0, 0, -44, 0, 0, 12, 0, 0, 114, 0, 0, -58, 0, 0, -301, 0, 0, -12, 0, 0, -9, 0, 0, -216, 0, 0, 37, 0, 0, -12, 0, 0, 0, 0, 0, -30, 0, 0, -36, 0, 0, -60, 0, 0, 26, 0, 0, 288, 0, 0, -84, 0, 0, -96, 0, 0, -63, 0, 0, -398, 0, 0, -168, 0, 0, 0, 0, 0, -7, 0, 0, -288, 0, 0, -75, 0, 0, -104, 0, 0, 138, 0, 0, -156, 0, 0, -132, 0, 0, 60, 0, 0, 60, 0, 0, 336, 0, 0, 0, 0, 0, -80, 0, 0, 138, 0, 0, -136, 0, 0, -317, 0, 0, -352, 0, 0, -153, 0, 0, -252, 0, 0, -9, 0, 0, 116, 0, 0, -69, 0, 0, 0, 0, 0, -133, 0, 0, 384, 0, 0, -124, 0, 0, -400, 0, 0, -52, 0, 0, 84, 0, 0, 36, 0, 0, -84, 0, 0, -185, 0, 0, 156, 0, 0, 0, 0, 0, -60, 0, 0, -75, 0, 0, -480, 0, 0, 109, 0, 0, -110, 0, 0, 0, 0, 0, 204, 0, 0, 165, 0, 0, -156, 0, 0, -9, 0, 0, 0, 0, 0, -113, 0, 0, 78, 0, 0, -376, 0, 0, 140, 0, 0, -44, 0, 0, 72, 0, 0, -75, 0, 0, -24, 0, 0, 75, 0, 0, -12, 0, 0, 0, 0, 0, -160, 0, 0, -108, 0, 0, 192, 0, 0, -196, 0, 0, 0, 0, 0, 246, 0, 0, 42, 0, 0, -45, 0, 0, -516, 0, 0, -261, 0, 0, 0, 0, 0, -83, 0, 0, -96, 0, 0, 409, 0, 0, 312, 0, 0, 21, 0, 0, 168, 0, 0, 42, 0, 0, -36, 0, 0, -132, 0, 0, 12, 0, 0, 0, 0, 0, -322, 0, 0, -120, 0, 0, 204, 0, 0, 71, 0, 0, -196, 0, 0, 96, 0, 0, 216, 0, 0, -57, 0, 0, 376, 0, 0, 195, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, -44, 0, 0, 4, 0, 0, 176, 0, 0, -378, 0, 0, 15, 0, 0, -24, 0, 0, -67, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, -39, 0, 0, -306, 0, 0, -400, 0, 0, -468, 0, 0, -210, 0, 0, -288, 0, 0, 72, 0, 0, -224, 0, 0, 48, 0, 0, 0, 0, 0, -219, 0, 0, 228, 0, 0, -115, 0, 0, -724, 0, 0, -18, 0, 0, -240, 0, 0, 15, 0, 0, -66, 0, 0, -228, 0, 0, -288, 0, 0, 0, 0, 0, -208, 0, 0, 21, 0, 0, -212, 0, 0, -73, 0, 0, 10, 0, 0, -24, 0, 0, -96, 0, 0, -252, 0, 0, -120, 0, 0, 36, 0, 0, 0, 0, 0, 292, 0, 0, 12, 0, 0, 285, 0, 0, -240, 0, 0, 301, 0, 0, 36, 0, 0, 216, 0, 0, 48, 0, 0, 247, 0, 0, 162, 0, 0, 0, 0, 0, -220, 0, 0, -45, 0, 0, -8, 0, 0, 383, 0, 0, -148, 0, 0, -24, 0, 0, 228, 0, 0, -15, 0, 0, -152, 0, 0, 3, 0, 0, 0, 0, 0, 47, 0, 0, -216, 0, 0, 212, 0, 0, -644, 0, 0, -324, 0, 0, 420, 0, 0, 192, 0, 0, 324, 0, 0, 289, 0, 0, -48, 0, 0, 0, 0, 0, -40, 0, 0, 312, 0, 0, -300, 0, 0, 213, 0, 0, 32, 0, 0, 378, 0, 0, -24, 0, 0, 207, 0, 0, -8, 0, 0, 24, 0, 0, 0, 0, 0, 389, 0, 0, -576, 0, 0, 36, 0, 0, 148, 0, 0, 117, 0, 0, 78, 0, 0, -279, 0, 0, -12, 0, 0, 221, 0, 0, 240, 0, 0, 0, 0, 0, -132, 0, 0, -228, 0, 0, -206, 0, 0, 323, 0, 0, -420, 0, 0, -138, 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: 48602011
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 117093590345190595, 'source_is_minimal': True, 'source_label': '3267.2.a.ba.1.3', 'source_level': 3267, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 117093590345190595, 'target_is_minimal': True, 'target_label': '3267.2.a.ba.1.3', 'target_level': 3267, 'twist_class_label': '3267.2.a.z.1.2', 'twist_class_level': 3267, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48602012
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 117093590345190595, 'source_is_minimal': True, 'source_label': '3267.2.a.ba.1.3', 'source_level': 3267, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 117093590345190595, 'target_is_minimal': True, 'target_label': '3267.2.a.ba.1.2', 'target_level': 3267, 'twist_class_label': '3267.2.a.z.1.2', 'twist_class_level': 3267, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48602013
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 117093590345190595, 'source_is_minimal': True, 'source_label': '3267.2.a.ba.1.3', 'source_level': 3267, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 112589990717820099, 'target_is_minimal': True, 'target_label': '3267.2.a.z.1.2', 'target_level': 3267, 'twist_class_label': '3267.2.a.z.1.2', 'twist_class_level': 3267, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 48602014
    {'conductor': 33, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 117093590345190595, 'source_is_minimal': True, 'source_label': '3267.2.a.ba.1.3', 'source_level': 3267, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 112589990717820099, 'target_is_minimal': True, 'target_label': '3267.2.a.z.1.3', 'target_level': 3267, 'twist_class_label': '3267.2.a.z.1.2', 'twist_class_level': 3267, 'twisting_char_label': '33.32', 'twisting_conrey_index': 32, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3092600
    {'charpoly_factorization': [[[13, 0, -8, 0, 1], 1]], 'hecke_orbit_code': 117093590345190595, 'p': 2}
  • id: 3092601
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 117093590345190595, 'p': 3}
  • id: 3092602
    {'charpoly_factorization': [[[52, 0, -20, 0, 1], 1]], 'hecke_orbit_code': 117093590345190595, 'p': 5}
  • id: 3092603
    {'charpoly_factorization': [[[-11, -2, 1], 2]], 'hecke_orbit_code': 117093590345190595, 'p': 7}
  • id: 3092604
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 117093590345190595, 'p': 11}
  • id: 3092605
    {'charpoly_factorization': [[[-11, -2, 1], 2]], 'hecke_orbit_code': 117093590345190595, 'p': 13}
  • id: 3092606
    {'charpoly_factorization': [[[52, 0, -44, 0, 1], 1]], 'hecke_orbit_code': 117093590345190595, 'p': 17}
  • id: 3092607
    {'charpoly_factorization': [[[-6, 1], 4]], 'hecke_orbit_code': 117093590345190595, 'p': 19}
  • id: 3092608
    {'charpoly_factorization': [[[52, 0, -44, 0, 1], 1]], 'hecke_orbit_code': 117093590345190595, 'p': 23}
  • id: 3092609
    {'charpoly_factorization': [[[1872, 0, -96, 0, 1], 1]], 'hecke_orbit_code': 117093590345190595, 'p': 29}
  • id: 3092610
    {'charpoly_factorization': [[[-11, -2, 1], 2]], 'hecke_orbit_code': 117093590345190595, 'p': 31}
  • id: 3092611
    {'charpoly_factorization': [[[24, -12, 1], 2]], 'hecke_orbit_code': 117093590345190595, 'p': 37}
  • id: 3092612
    {'charpoly_factorization': [[[52, 0, -20, 0, 1], 1]], 'hecke_orbit_code': 117093590345190595, 'p': 41}
  • id: 3092613
    {'charpoly_factorization': [[[-12, 0, 1], 2]], 'hecke_orbit_code': 117093590345190595, 'p': 43}
  • id: 3092614
    {'charpoly_factorization': [[[6292, 0, -164, 0, 1], 1]], 'hecke_orbit_code': 117093590345190595, 'p': 47}
  • id: 3092615
    {'charpoly_factorization': [[[7488, 0, -240, 0, 1], 1]], 'hecke_orbit_code': 117093590345190595, 'p': 53}
  • id: 3092616
    {'charpoly_factorization': [[[6292, 0, -164, 0, 1], 1]], 'hecke_orbit_code': 117093590345190595, 'p': 59}
  • id: 3092617
    {'charpoly_factorization': [[[24, 12, 1], 2]], 'hecke_orbit_code': 117093590345190595, 'p': 61}
  • id: 3092618
    {'charpoly_factorization': [[[13, -10, 1], 2]], 'hecke_orbit_code': 117093590345190595, 'p': 67}
  • id: 3092619
    {'charpoly_factorization': [[[1872, 0, -96, 0, 1], 1]], 'hecke_orbit_code': 117093590345190595, 'p': 71}
  • id: 3092620
    {'charpoly_factorization': [[[-107, -2, 1], 2]], 'hecke_orbit_code': 117093590345190595, 'p': 73}
  • id: 3092621
    {'charpoly_factorization': [[[-47, 2, 1], 2]], 'hecke_orbit_code': 117093590345190595, 'p': 79}
  • id: 3092622
    {'charpoly_factorization': [[[16848, 0, -288, 0, 1], 1]], 'hecke_orbit_code': 117093590345190595, 'p': 83}
  • id: 3092623
    {'charpoly_factorization': [[[1872, 0, -96, 0, 1], 1]], 'hecke_orbit_code': 117093590345190595, 'p': 89}
  • id: 3092624
    {'charpoly_factorization': [[[-107, 2, 1], 2]], 'hecke_orbit_code': 117093590345190595, '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': 27, 'label': '3267.2.a.ba', 'level': 3267, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 67157635
    {'hecke_orbit_code': 117093590345190595, 'n': 1, 'trace_an': 4}
  • id: 67157636
    {'hecke_orbit_code': 117093590345190595, 'n': 2, 'trace_an': 0}
  • id: 67157637
    {'hecke_orbit_code': 117093590345190595, 'n': 3, 'trace_an': 0}
  • id: 67157638
    {'hecke_orbit_code': 117093590345190595, 'n': 4, 'trace_an': 8}
  • id: 67157639
    {'hecke_orbit_code': 117093590345190595, 'n': 5, 'trace_an': 0}
  • id: 67157640
    {'hecke_orbit_code': 117093590345190595, 'n': 6, 'trace_an': 0}
  • id: 67157641
    {'hecke_orbit_code': 117093590345190595, 'n': 7, 'trace_an': 4}
  • id: 67157642
    {'hecke_orbit_code': 117093590345190595, 'n': 8, 'trace_an': 0}
  • id: 67157643
    {'hecke_orbit_code': 117093590345190595, 'n': 9, 'trace_an': 0}
  • id: 67157644
    {'hecke_orbit_code': 117093590345190595, 'n': 10, 'trace_an': 4}
  • id: 67157645
    {'hecke_orbit_code': 117093590345190595, 'n': 11, 'trace_an': 0}
  • id: 67157646
    {'hecke_orbit_code': 117093590345190595, 'n': 12, 'trace_an': 0}
  • id: 67157647
    {'hecke_orbit_code': 117093590345190595, 'n': 13, 'trace_an': 4}
  • id: 67157648
    {'hecke_orbit_code': 117093590345190595, 'n': 14, 'trace_an': 0}
  • id: 67157649
    {'hecke_orbit_code': 117093590345190595, 'n': 15, 'trace_an': 0}
  • id: 67157650
    {'hecke_orbit_code': 117093590345190595, 'n': 16, 'trace_an': -4}
  • id: 67157651
    {'hecke_orbit_code': 117093590345190595, 'n': 17, 'trace_an': 0}
  • id: 67157652
    {'hecke_orbit_code': 117093590345190595, 'n': 18, 'trace_an': 0}
  • id: 67157653
    {'hecke_orbit_code': 117093590345190595, 'n': 19, 'trace_an': 24}
  • id: 67157654
    {'hecke_orbit_code': 117093590345190595, 'n': 20, 'trace_an': 0}
  • id: 67157655
    {'hecke_orbit_code': 117093590345190595, 'n': 21, 'trace_an': 0}
  • id: 67157656
    {'hecke_orbit_code': 117093590345190595, 'n': 22, 'trace_an': 0}
  • id: 67157657
    {'hecke_orbit_code': 117093590345190595, 'n': 23, 'trace_an': 0}
  • id: 67157658
    {'hecke_orbit_code': 117093590345190595, 'n': 24, 'trace_an': 0}
  • id: 67157659
    {'hecke_orbit_code': 117093590345190595, 'n': 25, 'trace_an': 20}
  • id: 67157660
    {'hecke_orbit_code': 117093590345190595, 'n': 26, 'trace_an': 0}
  • id: 67157661
    {'hecke_orbit_code': 117093590345190595, 'n': 27, 'trace_an': 0}
  • id: 67157662
    {'hecke_orbit_code': 117093590345190595, 'n': 28, 'trace_an': -16}
  • id: 67157663
    {'hecke_orbit_code': 117093590345190595, 'n': 29, 'trace_an': 0}
  • id: 67157664
    {'hecke_orbit_code': 117093590345190595, 'n': 30, 'trace_an': 0}
  • id: 67157665
    {'hecke_orbit_code': 117093590345190595, 'n': 31, 'trace_an': 4}
  • id: 67157666
    {'hecke_orbit_code': 117093590345190595, 'n': 32, 'trace_an': 0}
  • id: 67157667
    {'hecke_orbit_code': 117093590345190595, 'n': 33, 'trace_an': 0}
  • id: 67157668
    {'hecke_orbit_code': 117093590345190595, 'n': 34, 'trace_an': 28}
  • id: 67157669
    {'hecke_orbit_code': 117093590345190595, 'n': 35, 'trace_an': 0}
  • id: 67157670
    {'hecke_orbit_code': 117093590345190595, 'n': 36, 'trace_an': 0}
  • id: 67157671
    {'hecke_orbit_code': 117093590345190595, 'n': 37, 'trace_an': 24}
  • id: 67157672
    {'hecke_orbit_code': 117093590345190595, 'n': 38, 'trace_an': 0}
  • id: 67157673
    {'hecke_orbit_code': 117093590345190595, 'n': 39, 'trace_an': 0}
  • id: 67157674
    {'hecke_orbit_code': 117093590345190595, 'n': 40, 'trace_an': -36}
  • id: 67157675
    {'hecke_orbit_code': 117093590345190595, 'n': 41, 'trace_an': 0}
  • id: 67157676
    {'hecke_orbit_code': 117093590345190595, 'n': 42, 'trace_an': 0}
  • id: 67157677
    {'hecke_orbit_code': 117093590345190595, 'n': 43, 'trace_an': 0}
  • id: 67157678
    {'hecke_orbit_code': 117093590345190595, 'n': 44, 'trace_an': 0}
  • id: 67157679
    {'hecke_orbit_code': 117093590345190595, 'n': 45, 'trace_an': 0}
  • id: 67157680
    {'hecke_orbit_code': 117093590345190595, 'n': 46, 'trace_an': -28}
  • id: 67157681
    {'hecke_orbit_code': 117093590345190595, 'n': 47, 'trace_an': 0}
  • id: 67157682
    {'hecke_orbit_code': 117093590345190595, 'n': 48, 'trace_an': 0}
  • id: 67157683
    {'hecke_orbit_code': 117093590345190595, 'n': 49, 'trace_an': 24}
  • id: 67157684
    {'hecke_orbit_code': 117093590345190595, 'n': 50, 'trace_an': 0}
  • id: 67157685
    {'hecke_orbit_code': 117093590345190595, 'n': 51, 'trace_an': 0}
  • id: 67157686
    {'hecke_orbit_code': 117093590345190595, 'n': 52, 'trace_an': 32}
  • id: 67157687
    {'hecke_orbit_code': 117093590345190595, 'n': 53, 'trace_an': 0}
  • id: 67157688
    {'hecke_orbit_code': 117093590345190595, 'n': 54, 'trace_an': 0}
  • id: 67157689
    {'hecke_orbit_code': 117093590345190595, 'n': 55, 'trace_an': 0}
  • id: 67157690
    {'hecke_orbit_code': 117093590345190595, 'n': 56, 'trace_an': 0}
  • id: 67157691
    {'hecke_orbit_code': 117093590345190595, 'n': 57, 'trace_an': 0}
  • id: 67157692
    {'hecke_orbit_code': 117093590345190595, 'n': 58, 'trace_an': 24}
  • id: 67157693
    {'hecke_orbit_code': 117093590345190595, 'n': 59, 'trace_an': 0}
  • id: 67157694
    {'hecke_orbit_code': 117093590345190595, 'n': 60, 'trace_an': 0}
  • id: 67157695
    {'hecke_orbit_code': 117093590345190595, 'n': 61, 'trace_an': -24}
  • id: 67157696
    {'hecke_orbit_code': 117093590345190595, 'n': 62, 'trace_an': 0}
  • id: 67157697
    {'hecke_orbit_code': 117093590345190595, 'n': 63, 'trace_an': 0}
  • id: 67157698
    {'hecke_orbit_code': 117093590345190595, 'n': 64, 'trace_an': -8}
  • id: 67157699
    {'hecke_orbit_code': 117093590345190595, 'n': 65, 'trace_an': 0}
  • id: 67157700
    {'hecke_orbit_code': 117093590345190595, 'n': 66, 'trace_an': 0}
  • id: 67157701
    {'hecke_orbit_code': 117093590345190595, 'n': 67, 'trace_an': 20}
  • id: 67157702
    {'hecke_orbit_code': 117093590345190595, 'n': 68, 'trace_an': 0}
  • id: 67157703
    {'hecke_orbit_code': 117093590345190595, 'n': 69, 'trace_an': 0}
  • id: 67157704
    {'hecke_orbit_code': 117093590345190595, 'n': 70, 'trace_an': 76}
  • id: 67157705
    {'hecke_orbit_code': 117093590345190595, 'n': 71, 'trace_an': 0}
  • id: 67157706
    {'hecke_orbit_code': 117093590345190595, 'n': 72, 'trace_an': 0}
  • id: 67157707
    {'hecke_orbit_code': 117093590345190595, 'n': 73, 'trace_an': 4}
  • id: 67157708
    {'hecke_orbit_code': 117093590345190595, 'n': 74, 'trace_an': 0}
  • id: 67157709
    {'hecke_orbit_code': 117093590345190595, 'n': 75, 'trace_an': 0}
  • id: 67157710
    {'hecke_orbit_code': 117093590345190595, 'n': 76, 'trace_an': 48}
  • id: 67157711
    {'hecke_orbit_code': 117093590345190595, 'n': 77, 'trace_an': 0}
  • id: 67157712
    {'hecke_orbit_code': 117093590345190595, 'n': 78, 'trace_an': 0}
  • id: 67157713
    {'hecke_orbit_code': 117093590345190595, 'n': 79, 'trace_an': -4}
  • id: 67157714
    {'hecke_orbit_code': 117093590345190595, 'n': 80, 'trace_an': 0}
  • id: 67157715
    {'hecke_orbit_code': 117093590345190595, 'n': 81, 'trace_an': 0}
  • id: 67157716
    {'hecke_orbit_code': 117093590345190595, 'n': 82, 'trace_an': 4}
  • id: 67157717
    {'hecke_orbit_code': 117093590345190595, 'n': 83, 'trace_an': 0}
  • id: 67157718
    {'hecke_orbit_code': 117093590345190595, 'n': 84, 'trace_an': 0}
  • id: 67157719
    {'hecke_orbit_code': 117093590345190595, 'n': 85, 'trace_an': -32}
  • id: 67157720
    {'hecke_orbit_code': 117093590345190595, 'n': 86, 'trace_an': 0}
  • id: 67157721
    {'hecke_orbit_code': 117093590345190595, 'n': 87, 'trace_an': 0}
  • id: 67157722
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  • id: 67157727
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  • id: 67157738
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  • id: 67157819
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  • id: 67157820
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  • id: 67157821
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  • id: 67157822
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  • id: 67157825
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